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Article
A Phase-Field Perspective on Mereotopology
Georg J. Schmitz1*
1MICRESS
group at ACCESS e.V., Intzestr.5, D-52072 Aachen, Germany;
*Correspondence:
[email protected]
Abstract: Mereotopology is a concept rooted in analytical philosophy. The phase-field concept
is based on mathematical physics and finds applications in materials engineering. The two concepts seem to be disjoint at a first glance. While mereotopology qualitatively describes static relations between things like x isConnected y (topology) or x isPartOf y (mereology) by first order logic
and Boolean algebra, the phase-field concept describes the geometric shape of things and its dynamic evolution by drawing on a scalar field. The geometric shape of any thing is defined by its
boundaries to one or more neighboring things. The notion and description of boundaries thus
provides a bridge between mereotopology and the phase-field concept. The present article aims to
relate phase-field expressions describing boundaries and especially triple junctions to their Boolean
counterparts in mereotopology and contact algebra. An introductory overview on mereotopology
is followed by an introduction to the phase-field concept already indicating first relations to mereotopology. Mereotopological axioms and definitions are then discussed in detail from a phase-field
perspective. A dedicated section introduces and discusses further notions of the isConnected relation emerging from the phase-field perspective like isSpatiallyConnected, isTemporallyConnected,
isPhysicallyConnected, isPathConnected and wasConnected. Such relations introduce dynamics and
thus physics into mereotopology as transitions from isDisconnected to isPartOf can be described.
Keywords: Region based theory of space, RBTS; Contact algebra, Dyadic and Triadic relations,
sequent algebra, boundaries, triple junctions, mereotopology, 4D mereotopology, mereophysics,
Region Connect Calculus RCC, invariant spacetime interval, Falaco solitons, phase-field method,
intuitionistic logic
1. Introduction
The term mereology originates from Ancient Greek μέρος (méros, “part”) + -logy
(“study, discussion, science”) while the term topology originates from Ancient Greek
τόπος (tópos, “place, locality”) + -(o)logy (“study of, a branch of knowledge”). The combined expression mereotopology (MT) thus stands for a theory combining mereology (M)
and topology (T). The term mereology was first coined by Stanisław Leśniewski as one of
three formal systems: protothetic, ontology, and mereology. “Leśniewski was also a radical nominalist: he rejected axiomatic set theory at a time when that theory was in full
flower. He pointed to Russell's paradox and the like in support of his rejection, and devised his three formal systems as a concrete alternative to set theory” 1. “Parts” in mereology not necessarily have to be spatial parts but may also represent e.g. parts of energy.
The top axiom of mereology seems to form a basis to quantify parthood and even to derive a number of physics equations from this philosophical concept [1].
Mereotopology, as philosophical branch, aims at investigating relations between
parts and wholes, the connections between parts and the boundaries between them.
Mereology and topology are based on primitive relations such as isPartOf or isConnect-
1
https://en.wikipedia.org/wiki/Stanisław_Leśniewski
© 2021 by the author(s). Distributed under a Creative Commons CC BY license.
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edTo2, upon which the mereotopology axiomatic systems can be built. An introduction to
mereotopology, its fundamental concepts and possible axiomatic systems can be found in
the book “Parts & Places“ [2] together with the definition of most of the mereotopological
relations and numerous references therein.
Mereotopology thus formalises the description of parthood and connectedness.
Mereology maps well onto the hierarchical structure of physical objects like materials
enabling to represent materials at different levels of granularity. Any part of a Material
isA Material. Any Material hasPart some Material. Any part of a 3DSpace isA 3DSpace.
Any part of a Region isA Region. This matches Whitehead’s view [3,4] that “points”, as
well as the other primitive notions in Euclidean geometry like “lines” and “planes” do
not have separate existence in reality. As all of them are parts of a 4D-spacetime any of
them - from a fundamental perspective – must have a 4D nature as well. Any (4D)
SpaceTimeRegion isA 4DRegion, any 3DVolume isA 4DRegion being “thin” in the time
dimension, any 2DPlane isA 4DRegion being “thin” in the time dimension and in one
spatial dimension and so forth (see Appendix A). Topology formalises whether
space-time regions (3D and/or 4D or even higher dimensional spaces) are connected
items or not. In case they are connected, some finite boundary region exists, where they
coexist and collocate.
Mereotopology finds application in the development of ontologies. Several foundational ontologies are based on mereotopology as one of the underlying concepts for the
specification of relations between individuals and classes, with the most recent example
being the Elementary Multiperspective Material Ontology EMMO [5]. Further standardized upper ontologies currently available for use include e.g. BFO [6], BORO method
[7], Dublin Core [8], GFO [9], Cyc/OpenCyc/ResearchCyc [10], SUMO [11], UMBEL [12],
UFO [13], DOLCE [14,15] and OMT/OPM [16,17].
In classical Euclidean geometry the notion of “point” is taken as one of the basic
primitive notions. In contrast, the region-based theory of space (RBTS) going back to
Whitehead [3] and de Laguna [19] has as primitives the more realistic notion of a region
as an abstraction of a finite sized physical body, together with some basic relations and
operations on regions like the isConnected or isPartOf relations. This is one of the reasons
why the extension of mereology complemented by these new relations is commonly
called mereotopology “MT”. There is no clear difference in the literature between RBTS
and mereotopology, and by some authors RBTS is related rather to the so called mereogeometry [20,21], while mereotopology is considered only as a kind of point-free topology, considering mainly topological properties of things. RBTS has applications in
computer science because of its more simple way of representing qualitative spatial information. It initiated a special field in Knowledge Representation (KR) [22] called Qualitative Spatial Representation and Reasoning (QSRR) [23]. One of the most popular systems in QSRR is the Region Connection Calculus (RCC) introduced in [24]. The notion of
contact algebra (CA) is one of the main tools in RBTS. This notion appears in the literature
under different names and formulations as an extension of Boolean algebra with some
mereotopological relations [25 - 32]. The simplest system, called just contact algebra (CA)
was introduced in [31] as an extension of the Boolean algebra with a binary relation called
“contact” and satisfying several simple axioms. Recent work addresses extensions of
contact algebra [33].
Most of above approaches are based on monadic relations like Px (x isA Part) and
dyadic relations like xCy (x isConnected y) and thus are limited to relations between two
3
2
throughout this article the CamelCase notation is used for objects/classes while the lowerCamelCase is used for relations
3
section adapted from [18] with slight modifications and amendments
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things. In the case of multiple things higher order relations may exist. An example might
be a triadic relation like x isConnected y forSome z. A simple instance for such a relation
would be e.g. a motorway bridge connecting two cities on two sides of a river. If this
bridge exists, the cities are connected for a car. Another example is catalysis, where two
chemical states x, y are connected (i.e. the reaction occurs) if a catalyst z is present. Else
they are disconnected. These simple examples for triadic relations surely need a further
formalization. According to Peirce's Reduction Thesis, however, it can be stated that “(a)
triads are necessary because genuinely triadic relations cannot be completely analyzed in
terms of monadic and dyadic predicates, and (b) triads are sufficient because there are no
genuinely tetradic or larger polyadic relations—all higher-arity n-adic relations can be
analyzed in terms of triadic and lower-arity relations” 4. Proofs for Peirce’s Reduction
Thesis are available e.g. in [34] and [35].
The relation of an n-ary contact is described in a generalization of contact algebra
called sequent algebra, which is considered as an extended mereotopology [36, 37]. Sequent algebra replaces the contact between two regions with a binary relation between
finite sets of regions and a region satisfying some formal properties of the Tarski consequence relation. Another approach to multiple connected regions is e.g. the Mereology
for Connected Structures [38].
Another important aspect not yet covered by classical mereotopology relates to the
description of time dependent relations and transitions. In normal language this would
refer to the specification of relations like “isConnected”, “wasConnected”, hasBeenConnected” or similar. 4D-mereotopology [39] specifying e.g. relations like “isHistoricalPartOf”, Dynamic Contact Algebra DCA [40, 41], and Dynamic Relational Mereotopology [42] are current first approaches to tackle this challenge.
All above approaches to mereotopology are – to the best of the author’s knowledge based on some Boolean algebra and additional relations. They thus only allow for qualitative descriptions like A isConnected B (or isNotConnected as the binary alternative). In
contrast, the phase-field approach to mereotopology being depicted in the present article
allows the quantitative description of different “degrees of connectivity” ranging e.g. from
0 to 100%. The phase-field perspective thus provides a much higher expressivity and
especially allows for describing transitions – e.g. temporal changes – between classes
being disjoint in binary, Boolean relations. An example would be a transition from
“isDisconnected” via different states of “isConnected” to “isProperPartOf” with a physics
example for such a process being a cherry dropping into a region of whipped cream.
Eventually also the formulation of relations like “wasConnected”, “hasBeenConnected” and
many more become possible based on the same approach.
In the spirit of Whitehead’s region-based theory of space (RBTS) the regions in the
phase-field model are defined by values of the phase-field. The phase-field is a scalar field
being defined over a continuous or discretized Euclidian space and thus has some relations with discrete mereotopology DM [43, 44] and with mathematical morphology MM [45].
An essay to describe also this discretized Euclidean spacetime itself based on mereology
is attempted in the Appendix B of the present article.
2. Scope and Outline
It is not the scope of the present article to review all types of concepts mereotopology beyond of what has shortly been summarized in the introduction. Mereotopology,
Mereogeometry and Region Connect Calculus all are based on logical expressions having
4
https://en.wikipedia.org/wiki/Semiotic_theory_of_Charles_Sanders_Peirce
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only the logical values “true” or “false”. The phase-field concept - in contrast - allows for
a quantitative, continuous description especially of transitions between different regions.
Following George Boolos: “to be is to be the value of a variable or some values of some
variables” [46], the value of the phase-field variable identifies anything as being a fraction
of the universe or of a region under consideration. Any phase-field variable accordingly
takes values from the closed interval [0,1] of the rationale numbers 5.
The article starts from a short introduction into time-independent phase-field models, which represent objects/regions as scalar fields, the so called phase-fields. It will be
shown how boundaries can be represented as correlations of such scalar fields. Along
with this basic introduction, analogies and correspondences to mereotopology will already be indicated wherever possible and meaningful. A special section will discuss the
extension of the description of dual-boundaries towards higher order junctions like triple
junctions and quadruple junctions in which more than two things collocate and coexist.
A dedicated chapter - in a summarizing way – then compares expressions derived
from the phase-field concept with their counterparts in the Region Connect Calculus and
in classical mereotopology, respectively. It is however beyond the scope of the present
article to discuss implications of the phase-field perspective for all types of more complex
MT theories.
Current applications of the multiphase-field concept especially address the evolution
of complex structures in space and time. A dedicated section of the present article thus introduces the time perspective of the phase-field approach leading to extended notions of
isConnected like isTimeConnected (“coexistence”), isSpaceConnected (“collocation”), isPhysicallyConnected, and isCausallyConnected. Further notions becoming possible on the basis
of the phase-field concept like wasPhysicallyConnected; isPathConnected or isEnergeticallyConnected are shortly introduced and provide a promising outlook on possible future
developments of mereotopology towards “mereophysics”.
3. Phase-Field Models
Not a single thing can be thought without a contrast to at least one other thing. Any
thing thus has at least one “neighbor thing”. They form a boundary. They are connected.
Multiple things form multiple dual boundaries, but further also lead to the formation of
triple and quadruple boundary regions, where multiple things coexist and collocate. A
method succesfully being applied to decribe objects, their shapes and their boundaries
are phase-field models being developed since the end of the last millenium.
3.1. Short History of Phase-Field models
Phase-field models in the recent decades have gained tremendous importance in the
area of describing the evolution of complex structures e.g. evolving during solidification
of technical alloy systems [47, 48] and their processing [49]. They belong to the class of
theories of phase-transitions, which go back to van der Waals [50], Ginzburg-Landau
[51], Cahn & Hillard [52], Allen & Cahn [53], and Kosterlitz-Thouless [54]. A phase-field
concept was first proposed in a personal note [55] and later published by different authors [56], [57]. The first numerical implementation of a phase field model describing the
evolution of complex shaped 3 D dendritic structures [58] attracted the attention of the
materials science community. The concept was then further widened towards treating
also multi-phase systems [59] and towards coupling to thermodynamic data [60]. Now5
in a strict sense “fractions” are all members of the set of rationale numbers. There a priori thus seems to be no need to extend to real numbers.
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adays a variety of simulation tools in the area on materials simulation draws on this
concept e.g. [61],[62],[63] and renders the evolution of complex structures and patterns - including the dynamics of boundaries and triple junctions - possible, Fig 1. Instructive reviews of phase-field modelling are available e.g. in [64], [65].
Fig. 1: Grain Growth Process:
Changes in connectivity and in
cardinality of the system occur.
The initial grain structure (top)
evolves towards the grain
structure at a later stage (bottom). This grain growth process
has been simulated using [61]
and a full video of this simulation is available in HD resolution
[66].
3.2. Basic Introduction to Phase-Field Models
The phase field model in a first place is a way to mathematically describe things and
their complex geometrical shape at all, Fig 2.
Fig. 2a: A solid phase s (green center region)
coexisting with a liquid phase l (blue outer region) in a volume. The fraction solid s amounts
to approx. 1/3 of the overall volume, while the
fraction liquid is approx. 2/3. Both are non-zero
and their correlation (yellow) thus exists as a
boundary in the overall volume. Nothing can
however be said about the position of this
boundary without further discretization of the
volume (Fig. 2b).
Fig. 2b: In above tiny volume “1” the fraction solid s amounts to exactly 1, while the
fraction liquid l is exactly 0. In the tiny
volume “3” the fraction solid s amounts to
exactly 0, while the fraction liquid l is
exactly 1. In contrast, both fractions are
non-zero and their correlation (yellow)
exists in the tiny volume “2”, which thus
comprises a boundary.
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Similar to the Heaviside function Θ(x) [67], the phase-field function in one dimension Φ(x) is a function describing the presence or the absence of an object. In contrast to
the Heaviside function the phase field function, however, reveals a continuous transition
over a finite —though very small— interface thickness η, Figure3.
Figure 3: Schematic view of the phase-field function Φ(x). This function takes a non-zero
value wherever the object is present, it takes exactly the value 1 where it is the only present object and is 0 elsewhere (i.e. where the object is absent). It exhibits a continuous
transition between two regions over a finite interface thickness η. The Heaviside function
Θ(x0) being characterized by a mathematically sharp transition at x0 is shown as a reference. The dotted region “1” exemplarily corresponds to tiny volume “1” in Fig 2b) where
only the solid is present.
Nothing is a priori known about the exact “shape” of the phase field function in the
transition region. Reasoning towards a specification of this shape is based on statistical
distributions of gradients in the interface and is described in [68] and [69]. In spite of not
knowing this exact shape, a number of terms/expressions can already be qualitatively
identified, Table 1, which all allow the identification and description of the transition region (expressions (5), (6), (7 :”overlap”), (8), (13) and (14) in table 1), Figure 4.
Figure 4: The solid lines represent the three terms occurring in the square of the basic
equation (expression 12 in Table 1).
An important characteristic of the phase-field description is that the terms (in expressions (4) and (12) in Table 1) corresponding to the “underlap” in mereology (expression (3)) sum up to a value of 1 everywhere and any time. Expressed in words expression
(4) reads:
The whole is the sum of its fractions
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– anywhere, at any time and in any subsystem.
Expressed as a formula this reads:
1=
(𝑥, 𝑡) 𝑓𝑜𝑟 𝑎𝑙𝑙 𝑥 𝑎𝑛𝑑 𝑎𝑙𝑙 𝑡 (𝑏𝑎𝑠𝑖𝑐 𝑒𝑞𝑢𝑎𝑡𝑖𝑜𝑛)
with N being the number of things and 0 being the matrix/background thing [1].
In detail this equation - which has a very strong relation to the “mereological sum”
defined in mereotopology (see section 4) - means (i) that at least one thing is always
present – i.e. has a non- zero value, (ii) that if a thing is the only - single - thing it takes the
value of exactly 1 (and all others take exactly the value 0), (iii) that if multiple things exist
(i.e. have non-zero values), none of them reaches the value of 1, (iv) that if multiple things
exist also their correlations exist (expression 12) and (v) that if multiple things exist (i.e.
have non zero values) the sum of all their values equals to 1. Any transformation, any
evolution, any mereotopological description is subject to this “normalization” constraint.
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Table 1: Quantification of boundaries
in
simple
phase-field
models.
Expressions (3) and (7) indicate
links/correspondances to mereology.
Expression/
variable/
Value in
Value in
Value in
Term ID
term
bulk 1
boundary
bulk 0
1
0<𝛷 <1
0
1
I
I
(true)
(true)
𝛷
(1)
(3)
(4)
(5a )/ (6a)
1
basic equation
(see [1])
0
0
𝛷 𝛷
0
0<𝛷 𝛷 <1
0<𝛷 𝛷 <1
pairwise
correlation
same as (5) but
not necessarily
commutative
introduction of
nomenclature for
a dual boundary
(see text)
𝛷
(12)
(14)
1
0
0
(false)
0
1
𝛷
(11)
𝛷
corresponds to
“mereological
sum” (section 4)
1
𝛷𝛷
(10)
0<𝛷 <1
𝛷
𝛷 ∧𝛷
(9)
(13)
(true)
𝛷 𝛷
(6)
(8)
I
𝛷 ∨𝛷
(5)
(7)
0
𝛷
(2)
remarks
0
1
𝛷
𝛷
−
𝛷 −
1
𝛷
𝛷
0<∂
0<∂
,
(true)
0<
<1
<1
𝛷𝛷 <1
0<𝛷 <1
0
0
(false)
0
corresponds to
“overlap” in
mereology
sum of all
pairwise
correlations
0
0<𝛷 <1
1
1
1
square of basic
equation; see [1]
𝛷𝛷
0
see [1] and the
present article
0
for reasoning
towards this
entropy type
formulation
see [1]
0<
0
0
I
,
0
−
𝛷 <1
𝛷 𝑙𝑛𝛷
1
To describe geometric structures, the phase-field function can be considered as being a function of space only. In this case the function does not depend on time and spatial
structures are considered to be eternal and thus not to change. “Collocation” then is the
key to describe boundaries and the relation isConnected becomes a synonym for isCollocated. “Collocation” in a first place requires the two things k and n to exist individually
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at some – also existing –places xn, xl, which are tiny, but finite volumes inside the region of
interest:
𝑒𝑥𝑖𝑠𝑡𝑠 𝑎𝑡 𝑥 ≡ ∃ 𝑥 ∧ (𝑥 ) ≠ 0
𝑒𝑥𝑖𝑠𝑡𝑠 𝑎𝑡 𝑥 ≡ ∃ 𝑥 ∧ (𝑥 ) ≠ 0
𝑖𝑠𝐶𝑜𝑙𝑙𝑜𝑐𝑎𝑡𝑒𝑑 ≡ ∃ 𝑥 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 (𝑥 ) ≠ 0 ∧ (𝑥 ) ≠ 0
This expression describes the collocation of two things in a tiny volume x0. It is
equivalent to a non-vanishing algebraic product describing the spatial correlation ik in
that tiny volume (see Table 1):
𝑖𝑠𝐶𝑜𝑙𝑙𝑜𝑐𝑎𝑡𝑒𝑑 → (𝑥 ) (𝑥 ) ≠ 0
The boundary between these two things thus can be defined as the set of all those
volume elements xn in which this correlation does not vanish. Summing up all these
non-vanishing spatial correlations over all Nx tiny volumes xn constituting the overall
volume of the system under consideration yields the fraction, which the dual boundary
between i and k takes of that total volume:
∂ , =
1
𝑁
(𝑥 ) (𝑥 )
The symbol " ∂" has been introduced here to denote a boundary. This symbol is
typically used in mathematics to denote the boundary ∂ of a region (see also introduction of this notation in table 1). The boundary between two things i,k – which is a
volume - is related to the sum of all volume elements x n where correlations between thing
i and thing k are non-vanishing. Any of the things may have further boundaries also with
other things. The total boundary of thing i then - in lowest order of all its dual boundaries - is given by the sum of its dual boundaries with all (∀) other things:
This is the same as
∂ ,∀
1
=
𝑁
𝑥 (𝑥 )
∂ ,∀ =
∂ ,
∂ , being identical to 0 means that no interface at all exists between thing i and
thing k : neither in the considered domain, nor in any of its sub-domains, nor in any of its
elementary volume elements.
3.3. Multi-Phase-Field Models
Classical phase field models – and most other theories of phase-transitions and also
most mereotopological approaches - describe the boundary or connection between exactly two things (resp. the transition between exactly two states). In many areas of applications, however, situations occur, where three or more things coexist and collocate.
An instructive practical example is the so called peritectic reaction occurring during solidification of a steel grade, Fig. 5:
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Fig. 5: Schematic of a peritectic reaction in a steel grade. Red/green/blue areas
indicate regions being occupied by the three phases: austenite () ferrite ()
and liquid melt (L). Wherever there is only (!) Liquid, no ferrite and no austenite may be present. The phases pairwise coexist and collocate at their dual
boundaries. All three phases coexist and collocate at the triple junction in the
middle of each picture. The upper right inset (the phase-diagram) indicates
that the phases also coexist in the same energy interval (i.e. at the same temperature). Note the “Basic Equation” for the three things in the center of the
figure.
To account for such configurations the multi-phase-field concept has been
developed [59], which allows for the description of structures comprising multiple
objects/things like different phases as depicted in Fig 5. or for multiple grains of a single
phase as depicted in Fig. 1. In this multi-phase-field model the basic equation enters as a
constraint into the Lagrange density forming the basis for the derivation of the evolution
equations for the different phase-fields.
3.4. Triple junctions
Higher order junction terms correspond to correlations of three (for triple junctions)
or even more things (further, higher order junction terms). In multi-phase-field models
triple junction terms are necessary to describe the equilibrium wetting angles like e.g.
formed by a droplet on a solid substrate placed in air satisfying “Young’s Law” [70] and
especially the kinetics of motion of such triple junctions. A detailed analysis of triple
junctions and their role in phase-field models in microstructure evolution is given in [71].
As triple junctions are relevant for the description and discussion especially of
“contacts” in the RCC and in mereotopology in section 4, they are explicitly formulated
here. For this purpose the basic equation (expression (4) in table 1) has to be formulated for
at least three things and has to be – at least – cubed. Simple squaring of the basic equation
even for three things will not generate triple junction terms.
1= + +
= + + + + + +
(+ ⋯ + ⋯ + ⋯ 𝑝𝑒𝑟𝑚𝑢𝑡𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑓 𝑖, 𝑗, 𝑘)
The volume term (first term of the RHS) for the bulk fraction, where only the one
object i exists then reads
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∂ =
1
𝑁
(𝑥 )
The dual boundary fractions (2nd and 4th term for i,k, resp. 3rd and 5th term for i, j) for
the region i with the other region k in this ternary case then read:
∂ , =
1
𝑁
(𝑥 ) (𝑥 ) +
1
𝑁
(𝑥 ) (𝑥 )
This expression reduces to the binary case if j =0:
∂ , =
∂ , =
(𝑥 ) (𝑥 ) (𝑥 ) +
(𝑥 ) (𝑥 ) (𝑥 )
(𝑥 ) (𝑥 ) (𝑥 ) + (𝑥 ) (𝑥 ) (𝑥 )
∂ , =
(𝑥 ) (𝑥 ) [ (𝑥 ) + (𝑥 )]
with the sum in the square brackets being equal to 1 if j=0:
∂ , =
(𝑥 ) (𝑥 )
The two ternary terms – the triple junction terms 6 and 7 on the RHS of the equation
- contributing to the boundary of region i read:
and
∂ ,
,
=
(𝑥 ) (𝑥 ) (𝑥 )
∂ ,
,
=
(𝑥 ) (𝑥 ) (𝑥 )
These two terms –being permuted in the last two indices- correspond to two different types of triple junctions revealing a different helicity. The topic helicity is discussed in a separate section below. The total boundary of a thing i then is the sum of its
dual boundaries plus the triple junction terms:
∂ ,∀ =
∂ , +
,
∂ ,
,
Based on the these specifications of boundary and triple junction terms, mereotopological relations can be easily be formulated and visualized based on some simple configurations as will be shown in section 4. It is important to note that all current mereotopological relations between two things will probably profit from the introduction/notion of a third thing, the “background” or “matrix” thing 0, to which they are
connected as well, Fig. 6.
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No triple junction:
One triple junction:
Two triple junctions:
1 isDisconnected 2
1 isExternalContact 2
1 isPartOf 2
Figure 6: Classification of different configurations known from mereotopology and region connect calculus according to the number of triple junctions being present in the
system. Dyadic relations between two things turn into triadic relations of three things if
the matrix thing (0) is taken into account.
The simple examples depicted in Fig. 6 are introduced here to highlight the role of
the “background” resp. “matrix” thing “0” and also the importance of triple and higher
order junctions for mereotopology in general. The class “no triple junction” besides the
case “isDisconnected” also contains the case “isNonTangentialProperPart”, the class “one
triple junction” applies to “isExternalContact” and also to “isTangentialProperPart”. Eventually the presence of two triple junctions corresponds to the “isPartOf” relation.
Additional remark: The three configurations of things depicted in Fig. 6 might also
be considered as a temporal sequence of two individuals (“atoms”) being initially disconnected and then entering into a bound state. This scenario relates to Mulliken’s holistic interpretation of a bound state [72], where the two atomic orbitals must incorporate
“the overlap in the space region that corresponds to the intersection of each atomic
space” [73]. A mereology of quantum chemical systems has recently been discussed [74].
Fig.7 a: Multiple things in a volume. The
two situations left can be described well
by classical mereotopology. Most left: All
things are mutually disconnected resp
connected with the matrix only.
Left: 1 isPartOf 3,
2 isDisconnected from both 1 and 3
Fig 7b: Configurations not typically being described by classical mereotopology. They
differ in number and type of triple junctions. This number increases from 4 (left) to 6
(middle) all of which include the matrix thing. Eventually (right) a situation of 4 triple
junctions is possible in which one of these triple junctions does not comprise the matrix
thing. Note that the number of triple junctions is always even. The case of “external
contact” seemingly having only one triple junction is discussed separately (see text).
In case all three things being connected to each of the other things (see Figure 7
lower right and Figure 8) there are three dual boundaries. Starting from the bottom and
crossing these boundaries counter-clockwise, Figure 8 (left) gives following sequence:
red-blue , blue-green , green-red, which we abreviate for the ease of further reading as
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R-B, B-G, G-R or even simpler (omitting also the hyphons) as RB, BG, GR. Thus “RB”
reprents a transition from red to blue. This is definitely something to be distinguished
from a transition “BR” going from blue to red. RB thus is not the same as BR. The
sequence of the symbols being used to denote the boundary thus is important and has a
meaning. It denotes the direction in which the boundary is crossed. Taking the
convention of reading letters from left to right (as usual in most western languages) one
will start from red to blue. In contrast, when taking the convention of reading signs from
right to left (as e.g. in Arabian language) the red to green transition would be the first.
Even more interesting is to have a look at the sequence when going from one area to the
next neighboring area. Again starting on the bottom (the red region in Fig.8) the sequence
reads R-B-G (and eventually back to red: -R). But one could also start from blue and
continue in so- called cyclic permutations :
R-B-G is the same as B-G-R is the same as G-R-B
One will however never end (for this triple symbol AND when continuing going
clockwise! ) in a situation:
R-G-B is the same as G-B-R is the same as B-R-G
The sequence of letters used to describe these two symbols - in 2 dimensions - thus
either allows (i) distinguishing two different types of triple junctions or (ii) describing a
sense of rotation (clockwise/counterclockwise), Fig. 8 (left) and Fig. 8 (right).
Figure 8 : Two different triple juntions in 2 dimensions in which three objects red (R),
green (G), and blue (B) coexist and collocate. They can be distinguished by the
sequence in which the three things are arranged. They cannot be mapped onto each
other by any rotation in 2D (see text), but only by mirroring. They may be – and in 3D
physical systems probably are – connected in the third dimension (see text and Fig.
10) meaning that they are parts of the same thing.
Triple junctions are regions of collocation of three things. They are also regions
where the three dual boundary planes (which each are volumes being thin in one
direction) between the three differnet things collocate. As boundaries between any pair of
two things in 3D are “planes”, the intersection of any pair of “planes” defines a “line” In
three dimensions. Triple junctions thus are “lines” (having finite volumes), which in 3
dimensions either form closed loops - called vortices - or are connected to the boundary
of the region of interest, respectively. Triple junctions are not “points” as they seem to be
in a 2 D section, but lines. In 2D sections they always appear as “pairs”, Figure 9.
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Fig.9a) Visualisation of a vortex resp. of a
torus. A 2D section reveals two vortcies
with opposite helicities.
Fig.9b) Smoke vortices as propagaing
objects in a 3D world. Photo
reproduced from [75]
Fig.9c) Triple junctions in a 2 D section
at the water surface always show up as
pairs, shown here for two flow vortices
(“dimples”) in a pool - so called Falaco
solitons [76]. “Falaco solitons appear to
have properties claimed by the String
theorists trying to explain Quantum
Gravity” [77].
Fig. 9d) Experimental visualisation of
3-D conectivity of two vortices [78]. The
surface dimples have been couloured
with green fluid, which reveals them
being coupled in the third dimension in
a semi vortex extending under the water
surface.
3.5. Quadruple and higher order junctions
A maximum of 4 things can coexist at the same position “i.e. coexist and collocate”.
In such a case they form quadruple “points”. Such quadruple points only exist in 3D
space. Remember that all “points”, “lines” and “planes” are 3D objects (in a 3D world)
resp. 4D objects in a 4D world (see Appendix A). There are
pairs of things forming dual boundaries ( being “planes”)
3 coexisting/collocated things forming 3 dual boundaries being coexisting/
collocated in a triple boundary (being a “line”)
4 coexisting things have following boundaries as parts 1 quadruple “point”, 4
triple “line” junctions, and 6 dual boundary “planes”
o
o
o
The fourth power of the basic equiation for 4 things yields total of 44 = 256 terms and
can be sorted using the multinomial expansion6:
4!
( + + + ) =
𝑘1! 𝑘2! 𝑘3! 𝑘4!
The ki always sum up to 4 by definition of the sum. This is further detailed in
Appendix C and eventually allows classifying into
6
4 “unary” terms ∂ with one ot the ki equals 4 and the others are identical 0
see e.g https://en.wikipedia.org/wiki/Multinomial_distribution
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84 “dual” boundary terms, where two of the ki are identical 0 and the others
complement to 4. For a dual boundary i,j this provides 14 terms:
∂ , (7terms) and ∂ , (7terms). A total of 6 boundary pairs (i,j; i,k; i,l; k,l;
j,k and j,l) thus generates the total of 84 dual boundary terms.
144 “triple” boundary terms, where one of the ki is identical 0 and the three
others complement to 4. Each triple junction i,j,k generates 36 terms, which
can be classified according to the helicity of the junction:
∂ , , (18terms) + ∂ , , (18 terms) = ∂ , , (36𝑡𝑒𝑟𝑚𝑠)
A total of 4 triple sets (i,j,k; i,j,l; i,k,l and j,k,l) thus generates the total of
144 triple boundary terms.
24 “quadruple” boundary terms, where all ki are identical 1 leading to
(sorted by first index)
∂ ,
, ,
(6 𝑡𝑒𝑟𝑚𝑠); ∂ , ,
,
(6𝑡𝑒𝑟𝑚𝑠); ∂
, , ,
(6𝑡𝑒𝑟𝑚𝑠); ∂ , ,
In summary the following overall equation scheme results:
1=
= ∂ +
∂ , +
= ∂ +
∂ , +
= ∂ +
∂
= ∂ +
∂ , +
∂ +
,
,
+
∂ , +
∂ ,
,
,
,
+∂ ,
,
+
∂ , , +∂ , ,
+
,
∂
,,
+∂
, ,
∂ ,
,
+∂ ,
,
,
∂ ,
,
, ,
, ,
+
+
+∂ ,
, ,
, ,
,
+
,
∂ ,
, ,
∂ , ,
,
∂ ,
, ,
∂ ,
, , ,
(6𝑡𝑒𝑟𝑚𝑠)
, ,
∂ ,
, ,
This eventually yields the total fractions of the 4 different objects (the LHS) as these
are summed up from contributions of bulk, dual, triple and quadruple boundaries. A
visual impression of the different terms for bulks, dual boundaries, triple and quadruple
junctions is depicted in Fig.10.
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Fig.10: Volumes, Faces/Areas, Egdes/Lines and Vortices/Quadruple Points in a tesseract
cube. Upper row: ouside view of the tesseract (left), center cube and one of the faces
removed (middle) and dual boundaries (right). Lower row: triple lines (left), quadruple
points (middle) and zoom-in into a quadruple point (right). The tesseract structure was
synthesized using [61].
3.6. Summary of phase-field expressions
In view of the comparison with expressions from Region Connect Calculus, from
Contact algebra and from mereology in the following sections, Table 2 provides a list of
all terms being necessary for this purpose.
equation
#
global
value
local value in
volume xn
1
(𝑥 )
=
2
∂
∂ (𝑥 )
∂ =
3
∂ ,
∂ , (𝑥 )
∂ , =
4
∂ ,
5
𝜕 ,
6
,
, ,
∂ ,∀
∂ , , (𝑥 )
𝜕 ,
, ,
(𝑥 )
n/a
relation global-local
∂ ,
𝜕 ,
,
=
, ,
=
1
𝑁
(𝑥 )
1
𝑁
∂ , (𝑥 )
1
𝑁
1
𝑁
1
𝑁
∂ ,∀ =
∂ (𝑥 )
∂ , , (𝑥 )
𝜕 ,
∂ ,
, ,
(𝑥 )
Table 2: List of all terms being necessary to express mereotopological and region connect
calculus situations. The quadruple terms seem not yet to be needed to address the
mereotopological situations being investigated in the literature by now.
Looking at possible extensions to higher order expressions questions emerge like:
Why not raising the basic equation to the 6th , to the 8th or even higher powers? Is an even
power mandatory? Why not go for more than 4 different objects? For small number of
objects (one or two or three) an exponent being equal to the number of objects seems
sufficient. If only two objects exist, there will be no triple junction and an exponent of 2
can be considered as sufficient. As a first rule of thumb the exponent thus should
correspond to the number of objects. An exponent of 4 then seems sufficient – and
necessary - to describe all types of geometric coexistence regions (dual boundaries
“planes”; triple junctions “lines” and quadruple junctions “points”) even if multiple
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objects are collocated. A power of 6 was used in [66] to refine the desription of the dual
interface in a solid-liquid two state system by a refined discretisation.
4. Comparison with mereotopological concepts
Based on the specifications of bulk areas, boundaries, triple junctions and quadruple
junctions depicted in the preceding section, especially in Table 2, mereotopological relations can easily be formulated and visualized based on some simple configurations as
outlined in the following.
4.1 Comparison with Region Connect Calculus
Some simple Region Connect Calculus (RCC) situations, Fig.11, are individually
discussed based on the description of boundary terms as introduced in section 3. Starting
from the easily identifiable configurations (X DC Y, X NTTPi Y, X NTTP Y, and X PO Y),
the more complex situations involving only one Triple Junction (X EC Y, X TPP Y, X TPPi
Y) are discussed. Most attention is paid to the case X EQ Y.
Fig. 11 : Region Connection Calculus7: disconnected (DC), externally connected (EC),
equal (EQ), partially overlapping (PO), tangential proper part (TPP), tangential proper
part inverse (TPPi), non-tangential proper part (NTPP), non-tangential proper part
inverse (NTPPi)
Case: X DC Y: X and Y do not have any common boundary:
𝜕
,
=0
For X DC Y, parts X AND Y both have boundaries with the background thing 0 (not
shown in the figure) only. Their total boundary thus hasPart only the boundary to the
thing 0:
𝜕 ,∀ = 𝜕 ,
𝜕 ,∀ = 𝜕 ,
As there exists no dual boundary between X and Y, also no triple junctions involving
either of the two parts do exist:
⋀
𝜕 , , = 0
𝜕 , , = 0
⋀
⋀
𝜕 , , = 0
7
https://en.wikipedia.org/wiki/Region_connection_calculus
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𝜕
, ,
=0
Case: X NTPP Y: X has a boundary with Y only while Y has a boundary to thing 0 in
addition:
𝜕 ,∀ = 𝜕 ,
𝜕 ,∀ = 𝜕 , + 𝜕 ,
Although there exists a boundary between both things, there is no region where both
things are connected to the 0-thing as well. Thus there are no triple junctions:
𝜕
𝜕
𝜕
𝜕
, ,
, ,
, ,
, ,
=0
=0
=0
=0
⋀
⋀
⋀
Case: X NTPPi Y: Y has a boundary with X only while X has a boundary to thing 0 in
addition:
𝜕 ,∀ = 𝜕 , + 𝜕 ,
𝜕 ,∀ = 𝜕 ,
Though there exists a boundary between both parts, there is no region where both things
are connected to the 0-thing as well. There are no triple junctions:
𝜕
𝜕
𝜕
𝜕
, ,
, ,
, ,
, ,
=0
=0
=0
=0
⋀
⋀
⋀
All these three cases above do not comprise any triple junction. The easiest case including triple junctions (X PO Y) will be discussed first as this discussion is helpful in
understanding the cases revealing one single triple junction only (i.e. the cases X EC Y, X
TPP Y, X TPPi Y)
Case: X PO Y: X and Y reveal a region of coexistence/collocation –the overlap region.
A boundary between X and Y thus exists:
𝜕
>0
,
Further, both things X and Y in this case also have boundaries to thing 0:
𝜕 , > 0
𝜕 , > 0
X PO Y further comprises two regions (“points”) where all three things X AND Y
AND the 0-thing collocate: there exist two triple junctions. Their total boundary thus
hasPart the boundaries to thing 0, to X (resp. to Y) and further the two triple junctions
where X, Y and 0 coexist/collocate. These two triple junctions however do NOT collocate
- i.e. they exist in different volumes xl and xm - and are distinguished by different helicities for the two different locations, see section 3.4. A correlation of the two triple junctions
does not exist in any volume element xn:
𝜕
∃𝑥 : 𝜕
, ,
(𝑥 ) ≠ 0
𝜕
⋀
,∀
,∀
= 𝜕
= 𝜕
,
,
∃𝑥 : 𝜕
+ 𝜕
+ 𝜕
, ,
,
,
+ 𝜕
+ 𝜕
(𝑥 ) ≠ 0
, ,
, ,
⋀
+ 𝜕
+ 𝜕
, ,
, ,
∀𝑥 : 𝜕
, ,
(𝑥 )𝜕
, ,
(𝑥 ) = 0
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Case: X EC Y
In this case there seemingly exists a single triple junction in a discretized single
volume xn. This defines a “point” (a finite sized smallest volume in 2 dimensions....)
𝜕
, ,
>0
In the case X PO Y discussed above, two triple junctions are coexistent - but not
collocated. In the case X DC Y no triple junctions are existent. X EC Y describes a transition between X DC Y and X PO Y and thus benefits from being capable of describing both
cases – each of them as a limit. Looking at the reverse process the two separated – i.e. not
collocated - triple junctions in the X PO Y case then have to condense in to a single state of
coexistence AND collocation for the X EC Y case ( and also for the TPP cases..)
∃𝑥 : 𝜕
, ,
(𝑥 ) ≠ 0
Case: X EQ Y
⋀
𝜕
, ,
(𝑥 ) ≠ 0
→
∃𝑥 : 𝜕
, ,
(𝑥 )𝜕
, ,
(𝑥 ) ≠ 0
X and Y obviously have the same total boundary:
𝜕 ,∀ = 𝜕 ,∀
Both have a boundary with 0 only
𝜕
𝜕
,∀
,∀
= 𝜕
= 𝜕
,
,
Further, they both have identical phase fields,
∀ 𝑥 : (𝑥 ) = (𝑥 )
This expression directly implies that the two things are identical i.e. the “same
thing” in a mereological sense. They have the same geometry as defined by their individual phase fields. In terms of being fractions of a universe both things are also identical.
They can be treated as a single thing representing twice the fraction of one of the two
things but losing their identity then:
∀ 𝑥 : (𝑥 ) = (𝑥 ) + (𝑥 ) = 2 (𝑥 )
Further, there may be additional attributes beyond the mere geometric shape, which
may still allow distinguishing them in spite of being geometrically identical.
4.2 Phase-Field perspective of Contact Algebra
The topology axioms of contact algebra are (adapted from [18]):
(C1) If aCb, then a > 0 and b > 0,
(C2) If aCb and a ≤ c and b ≤ d, then cCd,
(C3) If aC(b + c), then aCb or aCc,
(C4) If aCb, then bCa,
(C5) If a●b≠ 0, then aCb.
In the following these axioms are related and compared to the phase-field formulations for time independent situations. The phase-field formulations introduced in the
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preceding section are shortly recovered in the following for this purpose. A thing a is
globally present in a region under consideration if it takes a non-zero value in this region:
>0
A thing a is locally present in a region xj, which is a sub-region of the region under
consideration, if it takes a non-zero value in that sub-region
(𝑥 ) > 0
The global value a of is the normalized sum of all local values in the Nx sub-regions
=
1
𝑁
(𝑥 )
Eventually the definition of “collocation” is:
𝑖𝑠𝐶𝑜𝑙𝑙𝑜𝑐𝑎𝑡𝑒𝑑 ≡ ∃ 𝑥 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 (𝑥 ) ≠ 0 ∧ (𝑥 ) ≠ 0
which implies that there exists a boundary between the two things
𝑖𝑠𝐶𝑜𝑙𝑙𝑜𝑐𝑎𝑡𝑒𝑑 → 𝜕 , ≠ 0
“Collocated” in this context (i.e. time independent) means “isSpatiallyConnected” or just
isConnected i.e. 𝐶 in the nomenclature of contact algebra.
The Axiom (C1) of Contact Algebra -using these phase-field definition of isSpatiallyConnected – then translates into
𝜕
,
𝐶 ≡ 𝜕
,
≠0
≠ 0 → ∃ 𝑥 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 (𝑥 ) ≠ 0 ∧ (𝑥 ) ≠ 0
(𝑥 ) ≠ 0 →
𝑥
≠0 → ≠0
(𝑥 ) ≠ 0 →
𝑥
≠0 → ≠0
𝐶 → ≠0 ∧ ≠0
Expressed in words this reads “If two things are locally connected, both things must
at least globally exist”. Axiom (C1) thus is recovered by the phase field perspective.
Axiom (C3) covers the case of one thing being connected to two other things, which
both globally exist:
≠0 ∧ ≠0 ∧ ≠0
𝐶 ( + ) → ∃ 𝑥 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡
(𝑥 )
(𝑥 ) +
(𝑥 )
(𝑥 )
(𝑥 ) +
(𝑥 ) ≠ 0
(𝑥 ) ≠ 0
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→
(𝑥 )
→ 𝜕
(𝑥 ) ≠ 0 ∨
,
≠ 0 ∨ 𝜕
,
(𝑥 )
(𝑥 ) ≠ 0
≠0 → 𝐶 ∨ 𝐶
Expressed in words this reads “If a thing is connected to two other things, it is connected to at least one of them”. Axiom (C3) thus is recovered also by the phase field
perspective. For multiple things this can even be even further refined as: “Any thing is
connected to at least one of the other things” or “Any thing is connected to its complement”.
Axiom (C4) relates to the symmetry of the connected relation
𝐶 ≡ ∃ 𝑥 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 (𝑥 ) ≠ 0 ∧ (𝑥 ) ≠ 0
(𝑥 ) ≠ 0 ∧ (𝑥 ) ≠ 0 → (𝑥 ) ≠ 0 ∧ (𝑥 ) ≠ 0
(𝑥 ) ≠ 0 ∧ (𝑥 ) ≠ 0 → 𝐶
Expressed in words this reads: “If thing “a” is connected to thing “b”, then thing “b”
is also connected to thing “a””. Axiom (C4) thus is recovered also by the phase field
perspective for time - independent correlations.
The situation however may be – and probably is – different for time dependent and
other situations. A “path” connecting two things “a” and “b” may exist for some time,
while the return path might not exist anymore, when attempting to go back from “b” to
“a”. An example would be a bridge connecting “a” and “b”, which breaks down when
crossing it for the first time. The concept of asymmetric connectivity has major implications for a number of areas in physics and chemistry like chemical reactions preferentially proceeding into one direction, entropy always increasing or osmotic processes to
name a few. A simple example from everyday life is a one-way in traffic. To the best of
the author’s knowledge a concept of asymmetric connectivity has not yet been discussed
in any of the contemporary mereotopology endeavors. “Symmetric connectivity” can be
retained by defining two things a,b as isConnected if at least one path direction does exist.
This allows for a more general – even symmetric - formulation:
a, b are connected
a isPathConnected b ∨ b isPathConnected a
This expression, which still is symmetric, can be satisfied by following three configurations:
a isPathConnected b
∧
a ¬ isPathConnected b ∧
a isPathConnected b
∧
b
¬ isPathConnected a
b isPathConnected a
b isPathConnected a
The last expression indicates the existence of a reversible path, while both other expressions lead to irreversible situations, where there is a path from “a” to “b” (or vice
versa) but no way back. Path connectivity is an important concept being introduced by
Richard P. Feynman and finds applications in the principles of least action and/or Fermat’s principle. It is discussed in a little more detail in section 5.5.
In a last but one step Axiom (C5) is discussed, which essentially states that if two
things globally exist, they are connected:
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≠0 ∧ ≠0 → ≠0
=
1
𝑁
𝑥
1 ⎛
𝑁 ⎜
(𝑥 ) =
𝑥 (𝑥 ) +
,
⎞
𝑥 (𝑥 )⎟ ≠ 0
⎝
⎠
The second sum contains correlations between the volume elements xj and xk of the
reference frame when re-expressing the fields as products
𝑖. 𝑒. 𝑥 ≡
8
𝑥 ; see Appendix B5 . Neglecting such correlations (i.e. 𝑥 𝑥 = 0 for all i,j) the second
term on the RHS vanishes and only the first sum remains:
≠0 →
(𝑥 ) (𝑥 ) ≠ 0
(𝑥 ) (𝑥 ) ≠ 0 → 𝜕
𝜕
,
≠0 → 𝐶
,
≠0
Expressed in words this reads “If two things globally exist, they are connected”.
Axiom (C5) thus is recovered also by the phase field perspective for the case of exactly two
coexisting things. However, for three (and more things) existing globally, i.e. for
≠0 ∧ ≠0 ∧ ≠0
a number of options occurs, which can be identified when using Axiom (C3):
𝐶( + ) ≠ 0 → + ≠ 0 → ≠ 0 ∨ ≠ 0
→ 𝐶 ∨ 𝐶
Thus - even in case two things a and b do exist globally (i.e. have non-zero values) –
these two things a and b do not necessarily need to be connected if more than two things
are globally present. In case “a” and “b” not being mutually connected, both have to be
connected to – or separated by - a third thing c. This directly implies the following global
relations
≠0 ∧ ≠0 ∧ ≠0
→
𝜕 , ≠ 0 ∨ 𝜕 , ≠ 0 ∨ 𝜕 , ≠ 0
Expressed in words this reads “If three things globally exist, each of them is connected to at least one of the two other things”. While two things being mutually connected directly implies that both exist globally (see Axiom C1):
𝐶 →
(𝑥 ) (𝑥 ) ≠ 0 → ≠ 0
their individual global existence – in contrast however – does NOT imply that they are
connected if more than two things are considered. In case of three things a,b,c two of them
8
In the spirit of the present article such correlations will exist between volumes being in contact with each other i.e
between neighboring positions. They are neglected here to show under which conditions the axioms of Contact
Algebra can be recovered. These terms open options for a future refinement of the concept.
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e.g. a,b may be mutually connected or may be disconnected (i.e. separated by the third
thing c then):
≠ 0 → 𝜕 , ≠ 0 ∨ 𝜕 , = 0
𝜕
,
= 0 → ¬𝐶
In case one of these boundaries does NOT exist (i.e. equals to 0) both other boundaries
must exist (i.e. take non-zero values):
𝜕
,
= 0 → 𝜕
,
≠ 0 ∧ 𝜕
,
≠0
In the case a triple junction exists, all three dual boundaries do exist:
𝜕
, ,
≠ 0 → 𝜕
,
≠ 0 ∧ 𝜕
,
≠ 0 ∧ 𝜕
,
≠0
Axiom (C5) of Contact Algebra thus is recovered for exactly two existing things. The
phase-field perspective depicted above seems however to imply that this axiom might
have to be re-considered for the case of more than two things.
Eventually Axiom (C2) will be discussed. This seems the most complicated discussion as it involves 4 different things. The axiom (C2): “if aCb and a ≤ c and b ≤ d, then
cCd” expressed in words reads: If a isConnected b and a isPartOf c and if b isPartof d then c
isConnected b. The individual expressions formulated in phase-field boundary terms
translate into
𝑎𝐶𝑏 → 𝜕 , ≠ 0
If a isPartOf c, there exists a boundary between a and c:
𝑎 ≤ 𝑐 → 𝜕
,
≠0
The total boundary of “a” then hasPart the 2 dual boundaries, but inevitably then also
comprises a triple junction a,b,c
𝜕
,∀
= 𝜕
,
+ 𝜕
,
+ 𝜕
, ,
Then further b isPartOf d implies the existence of a boundary between b and d
𝑏 ≤ 𝑑 → 𝜕
,
≠0
The total boundary of “b” then hasPart the 2 dual boundaries, but inevitably also a
triple junction a,b,d:
𝜕 ,∀ = 𝜕 , + 𝜕 , + 𝜕 , ,
If aCb 𝑡ℎ𝑒𝑛 ≡ ∃ 𝑥 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 𝜕
𝜕
, ,
≠ 0 ∧ 𝜕
, ,
,∀ (𝑥
) ≠ 0 ∧ 𝜕
≠ 0 → 𝜕
, , ,
,∀
(𝑥 ) ≠ 0
≠ 0 → 𝜕
,
≠ 0 → 𝑐𝐶𝑑
Accordingly also Axiom C2 can be recovered by the phase field perspective.
In summary, all five axioms of the axiomatic system of contact algebra can be expressed
in terms of dual and higher order boundaries as described by the phase-field perspective.
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4.3 Comparison with Mereology
While “connections” as used in Region Connect Calculus and topology have been described as “boundaries” between things in the preceding chapter, the description of a
“part” being at the heart of mereology is related to the phase-field itself in the phase field
perspective. The section starts with a short overview of mereology as being described in
detail in [2].
4.3.1 Mereological Axioms and Definitions
Part: The monadic relation
𝑃𝑥 ≡ 𝑥 𝑖𝑠𝐴 𝑃𝑎𝑟𝑡
defines “x” to be a part. This expression implies the existence of “x” as in order to be a
part “x” must exist. It finds its phase-field counterpart in the expression 9
𝑎 𝑖𝑠𝐴 𝑃𝑎𝑟𝑡 ≡
≠0
which implies “a” (denoted as in the phase-field perspective) to be a non-zero
fraction of a system under consideration. The thing exists if it has a non-zero value, in
case the thing does not exist it takes exactly the value 0 [46]:
𝑒𝑥𝑖𝑠𝑡𝑠 ≡ ≠ 0
𝑛𝑜𝑡𝐸𝑥𝑖𝑠𝑡𝑠 ≡ = 0
Parthood: Mereology further builds on a dyadic relation specifying parthood:
𝑃𝑥𝑦 ≡ 𝑥 𝑖𝑠𝑃𝑎𝑟𝑡𝑂𝑓𝑦
This parthood relation is considered as primitive following some basic axioms like
(see e.g. [2]):
(𝑅𝑒𝑓𝑙𝑒𝑥𝑖𝑣𝑖𝑡𝑦)
𝑃𝑥𝑥
(𝐴𝑛𝑡𝑖𝑠𝑦𝑚𝑚𝑒𝑡𝑟𝑦)
𝑃𝑥𝑦 ∧ 𝑃𝑦𝑥 → 𝑥 = 𝑦
𝑃𝑥𝑦 ∧ 𝑃𝑦𝑧 → 𝑃𝑥𝑧 (𝑇𝑟𝑎𝑛𝑠𝑖𝑡𝑖𝑣𝑖𝑡𝑦)
Some commonly used definitions based on these axioms are
(𝑂𝑣𝑒𝑟𝑙𝑎𝑝)
O𝑥𝑦 ≡ ∃𝑧(𝑃𝑧𝑥 ∧ 𝑃𝑧𝑦)
(𝑈𝑛𝑑𝑒𝑟𝑙𝑎𝑝)
U𝑥𝑦 ≡ ∃𝑧(𝑃𝑥𝑧 ∧ 𝑃𝑦𝑧)
(𝑃𝑟𝑜𝑝𝑒𝑟𝑃𝑎𝑟𝑡ℎ𝑜𝑜𝑑)
PP𝑥𝑦 ≡ P𝑥𝑦 ∧ ¬ P𝑦𝑥
Above axioms of Ground Mereology (M) are further complemented by a strong
supplementation in Extensional Mereology (EM):
¬ P𝑦𝑥
→ ∃𝑧(𝑃𝑧𝑦 ∧ ¬𝑂𝑧𝑥) (𝑆𝑡𝑟𝑜𝑛𝑔 𝑆𝑢𝑝𝑝𝑙𝑒𝑚𝑒𝑛𝑡𝑎𝑡𝑖𝑜𝑛)
Extensional Mereology then is further complemented by following closure extensional axioms leading to Closure Extensional Mereology (CEM):
U𝑥𝑦 → ∃𝑧∀𝑤(𝑂𝑤𝑧 ↔ (𝑂𝑤𝑥 ∨ 𝑂𝑤𝑦)) (𝑆𝑢𝑚)
O𝑥𝑦 → ∃𝑧∀𝑤(𝑃𝑤𝑧 ↔ (𝑃𝑤𝑥 ∧ 𝑃𝑤𝑥)) (𝑃𝑟𝑜𝑑𝑢𝑐𝑡)
9
by intention the phase field notation will deviate from using “x” to denote a part as usual in mereology. In the
context of the phase field perspective, a,b,c etc will be used instead. This is to avoid confusion with the xi being used
to denote elementary spatial regions in the phase field perspective.
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∃𝑧 ∀𝑥 𝑃𝑥𝑧
(𝑈𝑝𝑝𝑒𝑟 𝐵𝑜𝑢𝑛𝑑)
Specifying a particular, individual z matching the upper bound axiom fixes a universe under consideration having part all parts:
𝑢 ≡ ∃! 𝑧 ∀𝑥 𝑃𝑥𝑧
(𝑈𝑛𝑖𝑣𝑒𝑟𝑠𝑒)
4.3.2. An essay towards a first order logic description of the phase-field concept
The phase-field method to the best of knowledge of the author by now has not
been formulated as an axiomatic system. The following section thus can be considered
as a first essay towards formalizing the phase-field concept. It does not reveal the degree
of maturity of the mereological axioms and is subject to future review. Before formulating the phase-field concept in FOL it is instructive to summarize the major concepts in
their algebraic form.
In the phase-field concept all existing things are fractions and sum up to form the
“whole” (i.e. the value 1). Not-existing things do not contribute to this sum as their
values are identical 0.
+
=1
The “complement thing” has been added to this sum to account for all
un-named or un-identified - but existing - fractions of the universe. The “complement
thing” accordingly can be defined as:
≡ 1−
The result is the “basic equation” already being introduced in [1] with the summation starting from i=0:
= 1 (𝑏𝑎𝑠𝑖𝑐 𝑒𝑞𝑢𝑎𝑡𝑖𝑜𝑛)
Without rigorous proof – which is beyond the scope of the present article - a
number of implications can directly be inferred:
(i) postulating the number of things to be finite (N) directly implies the existence of a
smallest fraction which has no parts (i.e. an “atom”) and of a largest fraction (an “upper
bound”)
(ii) if a thing is the only thing (the “whole”) it takes the value 1 and its complement is 0
(iii) if a thing is not the only thing, the complement exists (i.e. it has a non-zero value)
(iii) the basic equation corresponds to the mereological sum of all existing things (including the complement)
(v) in case both - a thing and its complement thing - exist, their –mereological- product
(or their “boundary”, or their “correlation”) does exist and they are connected (see section 4.2):
¬ = (1 − ) ≠ 0
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Note that this correlation term between a thing and its complement is found in a
number of areas. Examples are the logistic differential equation, where it corresponds to
the derivative of the logistic function 10 and is named the logistic distribution:
𝑓′(𝑥) = 𝑓(𝑥)(1 − 𝑓(𝑥))
The expression interestingly also corresponds to the lowest order Taylor approximation of entropy type terms [1]:
(1 − ) ~ − 𝑙𝑛 = 𝑆
In the following a FOL description of above concepts is attempted. For this purpose the conventions of FOL are adapted and the thus are denoted as x,y,z etc. again
the following.
In the phase-field perspective all things - whether existing or non-existing (e.g. not
yet or no more existing) - are fractions (of a whole):
∀𝑥 𝑥 ∈ ℚ[0,1] (𝑓𝑟𝑎𝑐𝑡𝑖𝑜𝑛𝑠)
The closed interval [0,1] here is the interval of rationale numbers ℚ[0,1], because
any fraction by definition is a rationale number. In contrast to selecting the same interval
of the real numbers ℝ[0,1] this implies things to be countable as the set of rationale
numbers is countable. In a refined axiomatization even a finite cardinality of the collection of N things could be postulated. In case a thing exists it takes a non-zero value, in
case it does not exist it takes the value 0:
∃𝑥 ≡ 𝑥 ≠ 0 (𝑒𝑥𝑖𝑠𝑡𝑒𝑛𝑐𝑒)
¬∃𝑥 ≡ 𝑥 = 0 (𝑛𝑜𝑛 − 𝑒𝑥𝑖𝑠𝑡𝑒𝑛𝑐𝑒)
∃𝑥 ↔ 𝑥 ∈ (0,1]
∃𝑥 ↔ 𝑥 = 1 ∨ (0 < 𝑥 < 1)
This provides a link between “Boolean Logics” and more general types of logic
like Heyting logic11 or Fuzzy logic12 allowing for multiple logic states beyond the binary
Boolean alternative of ”true” and/or ”false”. The Boolean view is recovered if selecting
the values from the interval of the natural numbers ℕ[0,1] which only has the two elements 0 and 1 instead of ℚ[0,1]:
" true" (or Boolean I ) translates into "≠0"
" false" (or Boolean 0 ) translates into "=0"
The above relation
∃𝑥 ↔ 𝑥 = 1 ∨ (0 < 𝑥 < 1)
expressed in words reads: if x exists (i.e. has a non zero value) it is either the
whole (with value 1) or a part (with value beween 0 and 1). This allows for the
specification of whole and of part in the following.
The whole corresponds to a unique, single object (universe) with no further objetcs
being existing then:
∃𝑥 ( 𝑥 = 1 ) (𝑊ℎ𝑜𝑙𝑒)
𝑥 = 1 → ∀𝑦 (¬∃𝑦) (𝑛𝑜 𝑓𝑢𝑟𝑡ℎ𝑒𝑟 𝑡ℎ𝑖𝑛𝑔 )
10
https://en.wikipedia.org/wiki/Logistic_function
11
https://en.wikipedia.org/wiki/Intuitionistic_logic
12
https://en.wikipedia.org/wiki/Fuzzy_logic
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The monadic part relation as used e.g. in mereology is recovered by specifying
“parts” as existing fractions (of a whole) with values smaller one:
𝑃𝑥 ≡ 𝑥 < 1 ∧ ∃𝑥 ( 𝑃𝑎𝑟𝑡 )
which is equivalent to x having a value in the open interval (0,1):
𝑃𝑥 ↔ 𝑥 ∈ (0,1)
If x is a part or x does not exist, there exists at least one other fraction/thing:
𝑃𝑥 ∨ ¬∃𝑥 → ∃𝑦 (𝑥 + 𝑦 < 1) ∨ (𝑥 + 𝑦 = 1)
In case x is a part the “other” thing y is also a part:
( 𝐺𝑒𝑛𝑒𝑟𝑎𝑙 𝑆𝑢𝑝𝑝𝑙𝑒𝑚𝑒𝑛𝑡)
𝑃𝑥 → ∃𝑦 ∧ (𝑥 + 𝑦 ≤ 1) → ∃𝑦 ∧ 𝑦 < 1) → 𝑃𝑦
These two fractions either supplement each other to form a part, which still is not the
whole:
𝑥 < 1 → ∃𝑦 (𝑥 + 𝑦 < 1)( 𝑆𝑢𝑝𝑝𝑙𝑒𝑚𝑒𝑛𝑡 )
𝑥 < 1 → ∃𝑦 (𝑦 < ¬𝑥)
or the two fractions x and y complement each other to form the whole:
¬𝑥 ≡ ∃𝑦 (𝑥 + 𝑦 = 1)( 𝐶𝑜𝑚𝑝𝑙𝑒𝑚𝑒𝑛𝑡 )
¬𝑥 ≡ ∃𝑦 (𝑦 = 1 − 𝑥)
¬𝑥 ≡ (1 − 𝑥)
The thing and its complement always complement each other to form the universe:
∀𝑥( 𝑥 + ¬𝑥 = 1 ) (𝑈𝑛𝑖𝑣𝑒𝑟𝑠𝑎𝑙 𝑈𝑛𝑖𝑜𝑛)
which compares to
∀𝑥( 𝑥 ∨ ¬𝑥 = 𝑡𝑟𝑢𝑒 ) (𝐵𝑜𝑜𝑙𝑒𝑎𝑛)
The Universal Union allows inferring, that the whole has no complement:
𝑥 = 1 → ¬𝑥 = 0 → ¬∃¬𝑥 (𝑊ℎ𝑜𝑙𝑒 ℎ𝑎𝑠 𝑛𝑜 𝑐𝑜𝑚𝑝𝑙𝑒𝑚𝑒𝑛𝑡 )
In contrast to Boolean logic a thing and its complement can coexist, i.e. they both
can have non-zero values:
∀𝑥: 𝑃𝑥 → ( 𝑥 ∧ ¬𝑥 ≠ 1 ) (𝐶𝑜𝑒𝑥𝑖𝑠𝑡𝑒𝑛𝑐𝑒)
This expression decomposes into two cases:
𝑥 ∧ ¬𝑥 ≠ 1 → ( (𝑥 ∧ ¬𝑥 = 0) ∨ ( 𝑥 ∧ ¬𝑥 ≠ 0 ) )
Case a) ( 𝑥 ∧ ¬𝑥 = 0)
For a binary interval of the natural numbers – i.e. the Boolean case - the only alternative for selecting “not being equal 1” is to be equal 0. Case a) thus reflects the
Boolean view that a thing and its complement do not coexist:
∀x: x ∧ ¬x = 0 (false)
The Boolean view thus is recovered in this special case. From the phase-field logic
this expression reads
( 𝑥 ∧ ¬𝑥 = 0) → ¬∃(𝑥 ∧ ¬𝑥) → ¬∃𝑥 ∨ ¬∃¬𝑥
→ 𝑥 = 0 ∨ ¬𝑥 = 0 → 𝑥¬𝑥 = 0
Expressed in words this reads that a thing and its complement do not coexist if
either the thing or its complement do not exist individually.
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Case b) ( 𝑥 ∧ ¬𝑥 ≠ 0)
Case b) is possible in a non-Boolean perspective only. In the phase-field formulation one gets
( 𝑥 ∧ ¬𝑥 ≠ 0) → ∃𝑥 ∧ ∃¬𝑥
→ 𝑥 ≠ 0 ∧ ¬𝑥 ≠ 0
→ 𝑥¬𝑥 ≠ 0
Note that ¬x does NOT mean that x does not exist but ¬x denotes the complement of x. In contrast: if x does not exist its complement does exist and vice versa via the
GeneralSupplement Axiom:
¬∃𝑥 → ∃¬𝑥
¬∃¬𝑥 → ∃𝑥
In the phase field perspective thus anything (!) which is a part overlaps
( i.e. isConnectedTo) its complement part:
𝑂𝑥¬𝑥 ≡ ∀𝑥 (Px ∧ 𝑃¬𝑥) (𝐹𝑢𝑛𝑑𝑎𝑚𝑒𝑛𝑡𝑎𝑙 𝑂𝑣𝑒𝑟𝑙𝑎𝑝)
This fundamental overlap is given by the algebraic product of the two non-zero
fractions of the thing and its complement:
𝑂𝑥¬𝑥 ≡ 𝑥¬𝑥
→ 𝑂𝑥¬𝑥 = 𝑥(1 − 𝑥))
The general overlap between two parts is defined as
𝑂𝑥𝑦 ≡ (Px ∧ P𝑦) ( 𝑂𝑣𝑒𝑟𝑙𝑎𝑝)
→ 𝑂𝑥𝑦 = 𝑥𝑦
The overlap in phase-field perspective corresponds to the situation of two things
being connected, being collocated resp. two things having a boundary. Any part is
connected to its complement in view of the Fundamental Overlap. If the complement of
x has two parts y and z, x is connected to at least one of them (see also discussion of
Axiom C3 of contact algebra in section 4.2):
𝑂𝑥¬𝑥 ∧ (P¬𝑥 = 𝑃𝑦 ∨ 𝑃𝑧) → Px ∧ (P𝑦 ∨ 𝑃𝑧)
Px ∧ (P𝑦 ∨ 𝑃𝑧) ↔ (Px ∧ P𝑦) ∨ (Px ∧ 𝑃𝑧)
𝑂𝑥¬𝑥 = xy ∨ xz
A full FOL (First-Order Logic13) or IPL (intuitionistic propositional logic14) description of the phase-field concept is beyond the scope of the present article and will be
subject of a future separate publication. It will include the definition of objects like triple
& quadruple junctions and interesting objects like the ratio of things.
4.3.3 Further useful definitions
The following section defines some further objects based on the Closure Extensional Mereology (CEM) framework described in section 4.3.1. The definition of these
objects is helpful for the comparison with the phase-field perspective. The three objects
being discussed for this purpose are the self-sum, the triple overlap and the triple product.
13
https://en.wikipedia.org/wiki/First-order_logic
14
https://en.wikipedia.org/wiki/Intuitionistic_logic
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Self-Sum: Formally interpreting the minimal underlap (i.e. the mereological sum)
of a thing with itself leads to following specification 15:
U𝑥𝑥 → ∃𝑧∀𝑤(𝑂𝑤𝑧 ↔ (𝑂𝑤𝑥 ∨ 𝑂𝑤𝑥))
This expression reduces to
U𝑥𝑥 → ∃𝑧∀𝑤(𝑂𝑤𝑧 = 𝑂𝑤𝑥) (𝑆𝑒𝑙𝑓 − 𝑆𝑢𝑚)
This “self-sum” will be shown to be identical with the fraction the part takes of the
whole in the phase field perspective.
Triple Overlap: A closer look at the “equivalence” in the expression for the mereological sum
𝑂𝑤𝑧 ↔ (𝑂𝑤𝑥 ∨ 𝑂𝑤𝑦)
unveils three different options for Owz to be “true”:
𝑂𝑤𝑥 = 𝑡𝑟𝑢𝑒 ∧ 𝑂𝑤𝑦 = 𝑓𝑎𝑙𝑠𝑒
∨ 𝑂𝑤𝑥 = 𝑓𝑎𝑙𝑠𝑒 ∧ 𝑂𝑤𝑦 = 𝑡𝑟𝑢𝑒
∨ 𝑂𝑤𝑥 = 𝑡𝑟𝑢𝑒 ∧ 𝑂𝑤𝑦 = 𝑡𝑟𝑢𝑒
The last expression suggests - and allows for - a definition of a triple junction in
form of a triadic relation16:
T𝑥𝑦𝑧 ≡ ∃𝑤(𝑂𝑤𝑧 ∧ 𝑂𝑤𝑥 ∧ 𝑂𝑤𝑦) (𝑇𝑟𝑖𝑝𝑙𝑒 𝑂𝑣𝑒𝑟𝑙𝑎𝑝)
Expressed in words this definition reads: “There exists a region w which overlaps
with three regions x,y,z”. This region is denoted as a “triple overlap”.
Triple Product: Further a maximum triple overlap – a “triple product” - comprising
all regions w with triple overlaps of the three same three things can be defined:
T𝑥𝑦𝑧 ≡ ∃𝑡∀𝑤(𝑂𝑤𝑧 ∧ 𝑂𝑤𝑥 ∧ 𝑂𝑤𝑦) (𝑇𝑟𝑖𝑝𝑙𝑒 𝑃𝑟𝑜𝑑𝑢𝑐𝑡)
The definitions of triple product and triple overlap are amended to classical mereology here, as they find their counterparts in the phase-field perspective (see table in
section 3.4).
4.3.4 Graphical visualisation of mereological expressions
Before eventually discussing mereology from the phase-field perspective, a graphical visualization of the different definitions in mereology is very instructive. Numerous
graphical representations of the classical definitions and relations are available, e.g.
Fig.12.
Figure 12: Overview of mereological relations (underlap, overlap, proper parthood
equality and enclosure) between different things.
[https://plato.stanford.edu/entries/mereology/].
15
This formulation by now has not been used in mereology formulations to the best of the authors knowledge.
16
This definition is not part of any mereology formulation by now. It is introduced here for the first time.
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Some further graphics are added in the following allowing discussing some of the
terms in more detail or trying to illustrate some of the terms graphically at all.
Underlap: The mereological underlap Uxy denotes a thing z which has two things x
and y as parts. The two extremes are the whole (i.e. the universe individual) representing
the maximum object comprising both things and the mereological sum representing the
minimum object comprising both things, Figure 13.
Fig. 13: The “universe individual” (left, marked by its dashed boundary) is one of the
possible selections for an underlap of the two things1&2, as per definition the universe
hasPart all things. Another possible selection is the mereological sum representing the
minimum object comprising both things (right, boundaries also marked by dashed lines)
However, there is no “unique underlap”. A variety of different objects fulfil the
condition to be an underlap of two things. Between the two extremes depicted in Fig.13, a
variety of different underlap objects can accordingly be defined, Fig. 14.
Fig.14: Different possible underlaps (light grey) for two things (1/green, 2/red) being part
of a universe individual (dark grey) having three things (1,2,3) and a matrix thing (0) as
parts. Note that the underlap in all cases, except for the lower right case, is a single,
self-connected object. The lower right case corresponds to the mereological sum of two
disconnected things. Even for disconnected things the underlap may however be
self-connected (see text). The different possible self-connected underlaps depicted in this
figure differ in their size and thus allow for a contineous description of a transition from
“isDisconnected” via “isExternalContact” to “isPartOf” with a variable describing this
transition being the “fraction” the underlap takes of the universe (see text). The
mereological sum of two disconnected parts does not fit into such a sequence as itself is
not self-connected. The mereological sum of two connected parts, in contrast, fits well
into the sequence as it is a self-connected object.
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Self-connected underlaps of disconnected parts
In case the underlap is postulated to be self-connected for both connected and also
for disconnected things, a minimum of such a self-connected underlap can be used as a
measure for distance, Fig. 15. Further separating the two things will increase this minimal
volume, while approaching them will decrease it. A distance d, which also is a fraction of
the universe, can thus be defined as the difference of the minimum self-connected underlap “MSCU” region and the “Mereological Sum”(MS, which is not self-connected for
disconnected things).The value of d will become 0 in the case of external contact between
the two things.
Fig. 15: Schematic sketch of two
things being separated by different
„distances“ (increasing from top to
bottom). While the boundary
between most of part 1 and the
underlap and most of part 2 of the
underlap is minimized and will
essentially not depend on their
relative position, the volume of a
connecting “string”, “tube” or
“path” will essentially linearly
depend on the distance.
The volume of the minimum self-connected underlap (MSCU) will correspond to
the sum of the underlaps of the individual parts (i.e. their mereological sum) plus a
volume corresponding to the minimal string/path connecting the two parts (the path
volume; see also section 5.6) minus the total volume of their overlap (i.e. their mereological product). This concept is not addressed in current mereology, but can most probably
be related to a concept of “potential energy”. The further discussion of this idea is beyond
the scope of the current article and will be subject of future work.
4.3.5 The phase-field perspective of mereological expressions
An intuitive approach to a translation of mereological expressions to their
phase-field counterparts starts from the mereological definition of the overlap:
O𝑥𝑦 ≡ ∃𝑧(𝑃𝑧𝑥 ∧ 𝑃𝑧𝑦)
(𝑂𝑣𝑒𝑟𝑙𝑎𝑝)
The overlap in the phase field perspective corresponds to the coexistence of the
object (denoted as x in the mereology expression) and an object of the reference frame
xn (denoted y in the mereology expression). In case of coexistence, both things are
non-zero fractions of a universe i.e. both have values in the open interval (0,1) of the rationale numbers. Their algebraic product (their correlation, “z” in the mereology expression i.e. the overlap) thus exists:
x ≠ 0
This allows defining the phase-field (or even any scalar field) as being the overlap
of an object and an object xn being part of a reference frame. Without loss of generality,
xn can exemplarily be imagined as a simple, individual voxel in a cubic grid.
(x ) ≡ x
(𝑝ℎ𝑎𝑠𝑒 − 𝑓𝑖𝑒𝑙𝑑)
Owx 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑒𝑠 𝑖𝑛𝑡𝑜 x 𝑤ℎ𝑖𝑐ℎ 𝑖𝑠 𝑡ℎ𝑒 𝑙𝑜𝑐𝑎𝑙 𝑝ℎ𝑎𝑠𝑒 − 𝑓𝑖𝑒𝑙𝑑 𝑣𝑎𝑙𝑢𝑒 𝑖𝑛 𝑥 : (x )
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The mereological self-sum, which was introduced as special case of the mereological sum in section 4.3.3, can then be used to identify the total fraction of the object in
the entire reference frame being composed of “all xn”
(𝑠𝑒𝑙𝑓 − 𝑠𝑢𝑚)
U𝑥𝑥 → ∃𝑧∀𝑤(𝑂𝑤𝑧 = 𝑂𝑤𝑥)
Identifying “all xn” (phase-field perspective) with “all w” (mereology) and x
(mereology) with the object (phase-field) facilitates the translation between the
phase-field perspective and mereological expressions. The object z in this case is the total fraction of the object . Assuming further “all xn” and thus “all w” to be countable
and finite allows specifying the total fraction the object, which sums all xn where is
present.
=
1
𝑁
(x )
Uxx 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑒𝑠 𝑖𝑛𝑡𝑜 𝑤ℎ𝑖𝑐ℎ 𝑖𝑠 𝑡ℎ𝑒 𝑔𝑙𝑜𝑏𝑎𝑙 𝑓𝑟𝑎𝑐𝑡𝑖𝑜𝑛 𝑜𝑓 𝑡ℎ𝑒 𝑜𝑏𝑗𝑒𝑐𝑡
Having thus related the phase-field expressions (x ) and (see equation 1 in
table in section 3.6) to mereological expressions, in the next steps the two expressions
∂ , and ∂ , (x ) (see equation 3 in table in section 3.6) will be discussed. They can be
identified to relate to the mereological product. The mereological product is the largest
overlap of two phase fields describing two things a and b, i.e. the region formed by all xn
where the two things coexist17. The smallest region of coexistence – the smallest overlap
- is defined by coexistence of the two things at least in a single xn:
𝑂𝑎𝑏 ≡ ∃𝑥 ( (𝑥 ) (𝑥 ) ≠ 0)
Expressed words: There exists a volume xn which hasPart finite fractions of both
parts a and b (or which isPart of both a and b):
Oab ≡ ∃𝑥 ( Px 𝑎 ∧ Px b)
This exactly is the mereological definition of overlap and also to the phase-field
definition of an interface in an elementary volume of the reference frame:
𝑂𝑎𝑏 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑒𝑠 𝑖𝑛𝑡𝑜 ∂
,
∂
,
(𝑥 ) ≠ 0
(𝑥 ) 𝑤ℎ𝑖𝑐ℎ 𝑖𝑠 𝑡ℎ𝑒 𝑙𝑜𝑐𝑎𝑙 𝑓𝑟𝑎𝑐𝑡𝑖𝑜𝑛 𝑜𝑓 𝑡ℎ𝑒 𝑏𝑜𝑢𝑛𝑑𝑎𝑟𝑦 𝑏𝑒𝑡𝑤𝑒𝑒𝑛 𝑎 𝑎𝑛𝑑 𝑏
The maximum overlap – i.e. the mereological product- is the object comprising all xn
which contribute to the total boundary between the two things a and b:
∂
,
=
1
𝑁
∂
,
(𝑥 )
𝑇ℎ𝑒 𝑚𝑒𝑟𝑒𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝑝𝑟𝑜𝑑𝑢𝑐𝑡 𝑂𝑎𝑏 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑒𝑠 𝑖𝑛𝑡𝑜 𝜕 , 𝑤ℎ𝑖𝑐ℎ 𝑖𝑠 𝑡ℎ𝑒 𝑡𝑜𝑡𝑎𝑙 𝑓𝑟𝑎𝑐𝑡𝑖𝑜𝑛 𝑡ℎ𝑒
𝑏𝑜𝑢𝑛𝑑𝑎𝑟𝑦 𝑏𝑒𝑡𝑤𝑒𝑒𝑛 𝑎 𝑎𝑛𝑑 𝑏 𝑡𝑎𝑘𝑒𝑠 𝑖𝑛 𝑡ℎ𝑒 𝑢𝑛𝑖𝑣𝑒𝑟𝑠𝑒 𝑢𝑛𝑑𝑒𝑟 𝑐𝑜𝑛𝑠𝑖𝑑𝑒𝑟𝑎𝑡𝑖𝑜𝑛
17
Things have been named a & b here in order not to generate confusion with the x denoting an existing object of the
reference frame in the phase field perspective.
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Recovering the definition of the phase-field as the correlation (overlap) between the
thing and a VolumeElement of a reference frame (see Appendix B):
(x ) ≡ x
𝑟𝑒𝑠𝑝.
(x ) ≡ x
allows rewriting 𝑂𝑎𝑏 ≡ x x ≠ 0 which eventually can be interpreted as a
triadic relation : 𝑇𝑎𝑏𝑥 ≡ x ≠ 0. Expressed in words this triadic relation reads:
𝑇𝑎𝑏𝑥: a & b collocate in x. It can likewise be formulated for coexistence as 𝑇𝑎𝑏𝑡: a & b coexist during t. Eventually a quartic relation Qabxt for a physical contact, which corresponds to coexistence (during t) and collocation (in x) can be formulated: Q𝑎𝑏𝑥𝑡: a & b
coexist in x during t
The Mereological sum - i.e. a possible, minimum thing c having part two things a and b from a phase-field perspective can directly be identified as the sum of the two individual
phase-fields describing the two things a and b coexisting in an xn . The thing c – the sum
- is described by its own phase-field then only has “a” and “b” as parts and no further
thing:
(𝑥 ) = (𝑥 ) + (𝑥 )
𝑈𝑎𝑏 (𝑈𝑛𝑑𝑒𝑟𝑙𝑎𝑝) 𝑖𝑠 𝑡ℎ𝑒 𝑠𝑎𝑚𝑒 𝑎𝑠 (𝑥 ) + (𝑥 ) (𝑠𝑢𝑚 𝑜𝑓 𝑙𝑜𝑐𝑎𝑙 𝑓𝑟𝑎𝑐𝑡𝑖𝑜𝑛𝑠 )
=
1
𝑁
(𝑥 ) + (𝑥 ) = +
𝑈𝑎𝑏 (𝑀𝑒𝑟𝑒𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝑠𝑢𝑚) 𝑖𝑠 𝑡ℎ𝑒 𝑠𝑎𝑚𝑒 𝑎𝑠 +
(𝑠𝑢𝑚 𝑜𝑓 𝑔𝑙𝑜𝑏𝑎𝑙 𝑓𝑟𝑎𝑐𝑡𝑖𝑜𝑛𝑠 )
4.3.6 Graphical comparison of mereological and phase-field descriptions
Boundary “areas” in mereotopology MT and in the Region Connect Calculus RCC
correspond to Overlaps. External contact (EC) and tangential proper parts (TPP) both
relate to triple junctions. There is no equivalent to quadruple junctions provided in either
of these two concepts. The phase field approach allows the description of
mereotopological relations between things on the basis of the boundaries and the higher
order junctions they form, Figs. 16 and 17. Examples for three or more things forming a
whole are depicted in Fig.18.
Figure 16: Different configurations of things forming a variety
of interfaces, triple lines and
quadruple points. The total
boundary
of
thing
7
∂ , consists of boundary
regions with the matrix 0, and
with things 8 & 9 and also
includes triple and quadruple
junctions meaning that
∂ , = ∂ , + ∂ , + ∂ , +
∂ , , + ∂ , , + ∂ , , ,
(see text for the other objects)
Based on boundaries, the topological relations between the things being depicted in
Figure 17 can easily described. For example thing 10 has an interface with the matrix 0
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only: ∂ , = ∂ , . Thing 1 is proper part of thing 2 and thus has an interface with 2
only: ∂ , = ∂ , . Thing 2 (in absence of thing 1) is a direct part of the universe
(Thing 0) and thus has an interface with 0 only: ∂ , = ∂ , . In presence of thing 1,
however, thing 2 has above external boundary with thing 0 but also a further internal
boundary with thing 1: ∂ , = ∂ , + ∂ , . Thing 4 is tangential part of thing 3 and
thus has an interface with 3 only but also a single triple-junction: ∂ , = ∂ , +
∂ , , ∂ , , . Things 5 & 6 represent a “bound state” and their boundaries are
∂ , = ∂ , + ∂ , + ∂ , , + ∂ , , and ∂ , = ∂ , + ∂ , + ∂ , , + ∂ , , .
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mereotopology
description
IOxy
Uxy
(IUxy)
configuration
(geometric)
boundary description
(this article)
IOyx
𝜕
Uyx
(IUyx)
𝜕
IPPyx
,
,
= 𝜕
𝜕
,
= 𝜕
,
+ 𝜕
= 𝜕
,
,
+ 𝑒𝑥𝑡𝑒𝑟𝑛𝑎𝑙
,
Case #1: part 2 (“y”, yellow) is internal proper part of part 1 (“x” blue). 2 isConnectedTo (i.e. has boundary with)
1 only, while 1 has a boundary with 0 in addition. The matrix has an “external” boundary (dashed grey)
IOxy
Uxy
(IUxy)
(TUxy)
IOyx
Uyx
(IUyx)
(TUyx)
TPPyx
𝜕
𝜕
𝜕
,
,
,
= 𝜕
= 𝜕
= 𝜕
,
,
+ 𝜕 , + 𝜕
+ 𝜕
+ 𝜕
,
𝜕
𝜕
+ 𝜕
+ 𝜕
,
,
,
> 𝜕
> 𝜕
,
, ,
, ,
+ 𝜕
+ 𝜕
+ 𝜕
, ,
,
,
, ,
, ,
, ,
+ 𝑒𝑥𝑡.
Case #2: Both things have a mutual boundary. Both things (i) have a boundary with “0” and (ii) have two triple
junctions. The total boundary of 1 with 0 is greater than the boundary of 2 with 0.
IOxy
IOyx
(IUxy)
(IUyx)
(TUxy)
(TUyx)
𝜕
𝜕
𝜕
,
,
,
= 𝜕
= 𝜕
= 𝜕
,
,
+ 𝜕 , + 𝜕
+ 𝜕
,
+ 𝜕
+ 𝜕 , + 𝜕
𝜕 , > 𝜕
𝜕 , < 𝜕
,
, ,
, ,
+ 𝜕
+ 𝜕
+ 𝜕
, ,
,
,
, ,
, ,
, ,
+ 𝑒𝑥𝑡.
Case #3: This case is topologically identical with case #2 from the phase field perspective in the sense that it
reveals the same boundaries and the same number of triple junctions. It differs in the relative size of the
boundaries with the boundary between 2 and 0 being larger as compared to case #2. The fraction the boundary
volume takes in this case is finite and not negligible.
TOxy
TOyx
(IUxy)
(IUyx)
(TUxy)
(TUyx)
𝜕
𝜕
𝜕
,
,
,
= 𝜕
= 𝜕
= 𝜕
,
,
+ 𝜕 , + 𝜕
+ 𝜕
+ 𝜕
,
,
+ 𝜕
+ 𝜕
,
, ,
, ,
+ 𝜕
+ 𝜕
+ 𝜕
, ,
, ,
, ,
, ,
+ 𝑒𝑥𝑡.
Case #4: This case again is topologically identical with case #2 and #3 from the phase field perspective in the
sense that it reveals the same boundaries and the same number of triple junctions. The volume the boundary
takes is neglected here.
ECxy
ECyx
(IUxy)
(IUyx)
(TUxy)
(TUyx)
𝜕
𝜕
,
𝜕
,
,
= 𝜕
,
= 𝜕 , + 𝜕
= 𝜕
,
+ 𝜕
𝜕
,
,
+ 𝜕
, ,
, ,
+ 𝜕
> 𝜕
,
= 𝜕
,
𝜕
, ,
𝜕
, ,
𝜕
, ,
, ,
+ 𝑒𝑥𝑡.
Case #5: ExternalContact at a single triple point.This situation is decribed by two collocated (i.e. correlated)
triple junctions
DCxy
DCyx
𝜕
𝜕
,
𝜕
,
,
= 𝜕
𝜕
,
,
= 𝜕
,
+ 𝜕
> 𝜕
,
,
+ 𝑒𝑥𝑡.
Case #6: Disconnected parts. No common boundary. No triple junctions. Both things have a boundary with “0”
only. The boundary of 2 (the yellow thing) with 0 is larger as compared to the boundary of 1 with 0.
Figure 17: Comparison of mereological configurations with the phase-field perspective
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𝜕
𝜕
𝜕
𝜕
,
,
,
,
= 𝜕
= 𝜕
= 𝜕
= 𝜕
,
,
,
+ 𝜕
+ 𝜕
+ 𝜕
+ 𝜕
,
= =
𝜕
= 𝜕
,
,
+ 𝜕
,
+ 𝜕
,
+ 𝜕
,
+ 𝜕
and
= 𝜕
,
,
,
,
+ 𝜕
+ 𝜕
+ 𝜕
+ 𝜕
,
𝜕
and
,
, ,
, ,
, ,
, ,
+ 𝜕
+ 𝜕
+ 𝜕
= 𝜕
,
+ 𝜕
𝜕
,
,
, ,
+ 𝜕
, ,
+ 𝜕
, ,
+ 𝜕
= 𝜕
> 𝜕
+ 𝜕
, ,
,
,
, ,
and
𝑒𝑡𝑐 …
, ,
, ,
, ,
+ 𝑒𝑥𝑡.
Case #9: Add third part (1 blue 2 yellow 3, red, 0 Matrix): Above arrangement comprises 4 triple junctions, of
which are 3 with vacuum/matrix and only one amongst the three parts.
0: gray, 1: white, 2: black, 3: white and 4: black
𝜕
𝜕
𝜕
,
,
= 𝜕
= 𝜕
,
+ 𝜕
,
= 𝜕
𝜕
+ 𝜕
,
𝜕
,
,
+ 𝜕
,
,
𝜕
+ 𝜕
,
,
+ 𝜕
,
+ 𝜕
,
,
= 𝜕
= 𝜕
+ 𝜕
,
+ 𝜕
,
, ,
𝜕
,
,
⋀ 𝜕
> 𝜕
,
,
+ 𝜕
, ,
+ 𝜕
= ⋀ =
= 𝜕
+ 𝜕
, ,
= 𝜕
, ,
, ,
, ,
+ 𝑒𝑥𝑡.
,
Case #10: Demonstration of the expressiveness of the concept depicted in the present article. Try to compose an
item comprising 4 things (1,2,3,4) and the background thing (0, gray, already placed) based on the information
given above (solution and further discussion in Appendix D)
Figure 18: Some examples for the phase-field perspective of wholes
comprising more than 2 parts (excluding the matrix)
5 Extended notions of the isConnected relation
Physics (from Ancient Greek: φυσική ) is the natural science that studies matter, its
motion and behavior through space and time. A concept of mereology/mereotopology
addressing space AND time – i.e. a 4D mereotopology – similar to the MereoGeometry of
3D static structures - might thus be named MereoPhysics [1].
The phase field in its typical applications is not only a function of space but a
function of both space and time:
𝑒𝑥𝑖𝑠𝑡𝑠 𝑎𝑡 𝑥 𝑑𝑢𝑟𝑖𝑛𝑔 𝑡 → ∃ 𝑡 , 𝑥 ∧ 𝑥 , 𝑡
≠0
This allows for a phase-field based definition of „isConnected“(in 4D): 1 isConnected (in4D) to 2 if their correlation function is non-zero:
(𝑥 , 𝑡 ) 𝑖𝑠𝐶𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑 (𝑥 , 𝑡 ) → (𝑥 , 𝑡 )𝑃 (𝑥 , 𝑡 ) ≠ 0
This recovers the classical connectivity relation (C1) If aCb, then a > 0 and b > 0:
(𝑥 , 𝑡 ) (𝑥 , 𝑡 ) ≠ 0 → (𝑥 , 𝑡 ) ≠ 0 ∧ (𝑥 , 𝑡 ) ≠ 0
Expressed in words this relation reads: Any two things which (i) have existed, (ii)
will exist or (iii) currently are existing in the 3D universe are (4D) connected. They may
however exist at different times i.e. they do “notCoexist” and thus are temporally disconnected. They also may coexist but may “notCollocate” i.e. they may be spatially disconnected.
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5.1. isTimeConnected: “coexistence”
“Coexistence” in a first place requires the two things to exist individually during
some time intervals ti,tl :
𝑒𝑥𝑖𝑠𝑡𝑠 𝑑𝑢𝑟𝑖𝑛𝑔 𝑡 → ∃ 𝑡 ∧ (𝑡 ) ≠ 0
𝑒𝑥𝑖𝑠𝑡𝑠 𝑑𝑢𝑟𝑖𝑛𝑔 𝑡 → ∃ 𝑡 ∧ (𝑡 ) ≠ 0
t0
Coexistence can then be defined as both things existing during the same time interval
𝑐𝑜𝑒𝑥𝑖𝑠𝑡𝑠 ≡ ∃ 𝑡 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 (𝑡 ) ≠ 0 ∧ (𝑡 ) ≠ 0
This is equivalent to a non-vanishing algebraic product describing the
time-correlation kn during that time interval t0:
𝑐𝑜𝑒𝑥𝑖𝑠𝑡𝑠 → (𝑡 ) (𝑡 ) ≠ 0
Their temporal distance dt vanishes in this case because ti=tl (=t0):
𝑑𝑡 ≡ 𝑡 −𝑡 = 0
5.2. isSpaceConnected: “collocation”
The aspect of “collocation” has already been addressed in sections 3 and 4, where
mereotopology and the time-independent phase field perspective were discussed in detail. In case of time dependent phenomena, 3D spatial connectivity is not static any more
but becomes subject to change. The “isCollocated” relation thus needs to be complemented by a “wasCollocated” relation and in a similar way “coexists” needs a complements like “coexisted”. Also the relation “isPhysicallyConnected” introduced in the following section needs such a complement relation “wasPhysicallyConnected”. An instructive situation for such relations is depicted in Fig. 19. Such relations can easily be
formally defined based on the scheme depicted in section 5.3. Although it would be possible to formally define relations for “willBeConnected” or similar relations directing to
the future, this does not seem meaningful.
Fig. 19: Collocation and Coexistence:
Location: Hotel Metropol in Brussels, Belgium.
I wasCollocated with the giants of physics at the
time this “picture in picture” was taken. I was at
the hotel and they had been at the same place in
1911. I “coexisted” only with two of the participants (M. deBroglie and G. Hostelet) which still
were alive when I was born. At the time the
picture in picture was recorded, I wasPhysicallyConnected with the picture of the participants of the 1st Solvay Conference. The original was recorded in 1911 and thus wasPhysicallyConnected to the participants. The participants werePhysicallyConnected as they
wereCoexisting in 1911 AND wereCollocated at the Hotel Metropol during the conference
period.
5.3. isPhysicallyConnected
Two things are physically connected in case they share a common region of space x 0
during a finite time interval t0 in which both are coexisting. They are coexisting and collocated in this case:
𝑖𝑠𝑃ℎ𝑦𝑠𝑖𝑐𝑎𝑙𝑙𝑦𝐶𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑 ≡ 𝑖𝑠𝐶𝑜𝑙𝑙𝑜𝑐𝑎𝑡𝑒𝑑 ⋀ 𝑐𝑜𝑒𝑥𝑖𝑠𝑡𝑠
Their phase-field description is a function of both variables x and t in this case.
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𝑖𝑠𝑃ℎ𝑦𝑠𝑖𝑐𝑎𝑙𝑙𝑦𝐶𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑
→ ∃ 𝑥 , 𝑡 𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 (𝑥 , 𝑡 ) ≠ 0 ∧ (𝑥 , 𝑡 ) ≠ 0
In a simple next step even a relation “wasPhysicallyConnected“ can be defined for
things which have formerly coexisted AND were collocated during a time interval tpast.
They shared some former region x (remember x to be a finite region) during some past
time interval tpast (t is also finite). „Now“ (i.e. during a time interval tnow) they arePhysicallyDisConnected:
→ ∄𝑥 , ∃𝑡
5.4. isCausallyConnected
𝑖𝑠𝑃ℎ𝑦𝑠𝑖𝑐𝑎𝑙𝑙𝑦𝐷𝑖𝑠𝐶𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑
𝑠𝑢𝑐ℎ 𝑡ℎ𝑎𝑡 (𝑥 , 𝑡 ) ≠ 0 ∧ (𝑥 , 𝑡
)≠0
In case two things are both spatially AND temporally disconnected - i.e. both their
spatial AND their temporal distance do not vanish - they still may be connected by a relation isCausallyConnected. The situation is summarized in Fig. 20:
Fig. 20: The ci in the different equations a priori are not necessary identical. Requesting invariance under parity operations (P(x) = -x) and under time inversal symmetry operations (T(t)= -t) however limits their choice. Applying the parity operation on
eq. 1 leads to eq.4 if c1=c4, applying it to eq. 2 leads to eq. 3 if c2=c3. Applying the time inversal operation to eq. 2 leads to eq. 4 if c2=c4. Eventually applying it to eq. 3 leads to eq.1
if c3=c1. The request for satisfying invariance under both of these operations thus leads to
c1=c2=c3=c4= c.
In case equations 1 and 2 in Fig. 20 are identical (i.e. c1=c2) and they read:
𝑐𝑑𝑡 − 𝑑𝑥 = 0
Equations 3 and 4 in Fig. 20 are also identical if c3=c4 and then read
𝑐𝑑𝑡 + 𝑑𝑥 = 0
At least one of these equations is always satisfied as the original 4 equations cover all
possible combinations. Following expression accordingly is always “true”:
𝑐𝑑𝑡 − 𝑑𝑥 = 0 ⋁ 𝑐𝑑𝑡 + 𝑑𝑥 = 0
These conditions together correspond to the solution of a quadratic equation and
accordingly can be re-formulated and combined into a single equation:
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(𝑐𝑑𝑡 − 𝑑𝑥)(𝑐𝑑𝑡 + 𝑑𝑥) = 0
This equation specifies the invariant spacetime distance ds2 known from special
relativity theory to be equal to 0 as a criterion for things being causally (i.e. light-like)
connected:
5.5. isEnergeticallyConnected
𝑐 𝑑𝑡 − 𝑑𝑥 = 0 = 𝑑𝑠
As an observation, there is a striking formal similarity between the invariant
spacetime interval and the energy-momentum balance of massless particles:
c dt − dx = 0
E −p c =0
Multiplying the first equation with a factor F2 - which a priori shall only represent a
conversion factor between spatial coordinates (first equation) and energetic perspective
(second equation) - yields
F c dt − F dx = 0
Recovering the following expressions - actually the definitions - for energy E and
momentum p - one immediately gets the second equation
dE = Fdx and dp = Fdt
→
dp c − dE = 0
Much more interesting, however, seems the definition of a relation isEnergeticallyConnected which means “equilibrium”. Any distance from equilibrium then corresponds
to a thermodynamic driving force e.g. for phase transitions. Such a mereotopological
view on thermodynamic equilibrium has quite recently been discussed [79].
5.6. isPathConnected
Regions where the thing i and an elementary region of the reference frame xj collocate can be described by a non-vanishing correlation (see section 4 and Appendix B):
𝑥 ≠0
Such a non-vanishing correlation holds for both of the following cases (see also
Figure B4 in Appendix B):
𝑥 𝑖𝑠𝑃𝑟𝑜𝑝𝑒𝑟𝑃𝑎𝑟𝑡
𝑂𝑅
𝑖𝑠𝑃𝑟𝑜𝑝𝑒𝑟𝑃𝑎𝑟𝑡 𝑥
In case isProperPart of xj the correlation denotes the position of this thing , as the
correlations of with all other VolumeElements xk are identical 0 in this case. This leads
to:
𝑥 = 𝑥 ≡ 𝑥
This position may change over time. The time-dependent position is given by the
coexistence of a time interval tj , the thing and the VolumeElement xk:
𝑥𝑡 ≠0
The position of a thing during a time interval tk (read “at time tk”) then can be written as:
𝑥 (𝑡 ) ≡ 𝑥 𝑡
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Characteristic points of any path are its initial and final positions (the “start-point”
and the “end-point”) denoting the two boundaries of a 4 dimensional object being small
in 2 spatial dimensions (a “line”—see Appendix A) - the “path”:
InitialPosition:
FinalPosition:
x
𝑥
≡ 𝑥 (𝑡 )
≡ x (t )
An extended path then is a sequence of such positions bound by the initial and final
positions which all exist during a sequence of different time intervals tk. The full path thus
exists if any individual position has a non-zero value. For the extended path this means that
the product of all these positions is non-zero for a sequence of time intervals:
𝐴 𝑝𝑎𝑡ℎ 𝑓𝑟𝑜𝑚 𝑥
𝑡𝑜 x
𝑒𝑥𝑖𝑠𝑡𝑠 →
𝑥 (𝑡 ) ≠ 0
The total “path” of a - tiny point like (i.e. smaller than the volume element xk)– thing
and x taken by the thing at two different times 0 and
between two positions 𝑥
N then can be summed up and yields the total volume P of the path “line”:
𝑃 (𝑥 , 𝑥 ) =
𝑥 (𝑡 )
Any position 𝑥 is a fraction of the whole and thus has a value smaller than 1. The
probability of a path to exist (which is given by the above product) thus decreases with
increasing number N of path elements forming the product. This fact leads to a higher
probability for shorter paths with the minimum path length being the most probable
path. This is most likely related to the principle of least action and Fermat’s principle. The
sum and the product expressions find continuum counterparts in the Feynman path integrals18, with a rigorous formal comparison being subject to future work. The interesting
fact here seems, that these expressions are derived based on mere logic considerations.
6. Summary, Conclusions and Outlook
The present article has related and compared the concepts of mereotopology, Region
Connect Calculus and Contact Algebra to a field theoretic description of objects, their
shapes and their boundaries by the phase-field concept. The concepts underlying mereotopology on the one hand seemed to be similar to the principles underlying the
phase-field concept, on the other hand a number of differences/complementarities became obvious.
In a first place limitations of Boolean algebra were identified. Boolean algebra does not
allow for the coexistence of a thing and its complement. Such coexistence, however, is
essential not only in the phase-field perspective, where coexistence and collocation actually are measures for the physical boundary between things. Mereotopology is based on
Boolean algebra and thus considers the different types of connectivity as logically –and
thus qualitatively - disjoint. Transitions e.g. from “x isDisconnected y” to “x isProperPartof
y” - with a cherry dropping into whipped cream being an example - thus cannot or only
hardly be addressed. Transitions, however, are ubiquitous processes and thus need a
formal description. Such a description may widen the field of applications of contemporary mereology resp. mereotopology and mereogeometry towards new grounds of mereophysics.
A “dynamic” view on contacts and boundaries and the notion of time were thus introduced. This is first reflected in time dependent relations allowing to semantically de-
18
https://en.wikipedia.org/wiki/Path_integral_formulation
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scribe “historicalParthood” via “isConnected” or “wasConnected” relations. Separating the
description of 4D connectivity into “isSpatiallyConnected” and “isTemporallyConnected”
allowed for the definition of isPhysciallyConnected and eventually also of isCausallyConnected. As a consequence, the formulation of the relativistic spacetime interval could be
derived from mere logical inference.
Eventually the symmetry of the connectivity relation was discussed, where a isPathConnected and a isEnergeticallyConnected relation provide the grounds for describing reversible and/or irreversible paths.
In a generalized notion the “isConnected” relation according to the present article
might be interpreted as some generalized “distance” between two things to be equal to 0.
This generalized distance may be a spatial distance, a temporal distance, an energetic distance
or any other type of general distance. All these distances are expressed as the difference
between two values. The status of “isConnected” thus is reached if two values are equal,
i.e. if two values satisfy the equation of type A-B=0. A possible notion of “distance” was
introduced, which could be described in mereological terms as minimal self-connected
underlap minus mereological sum of two disconnected things.
Concepts of higher order junctions were discussed. These relate to connectivity of
more than two things. Benefits of describing triple junctions with triadic relations and the
importance of triadic relations in general were highlighted as well as the notion of helicity and aspects of 3D connectivity of triple junctions being seemingly disconnected in 2D.
A potential need to reconsider/reformulate one of the axioms in Contact Algebra was identified when discussing connectivity of multiple objects.
Author Contributions: The entire article has been conceptualized and written by the author GJS.
Funding: The work presented in this article is a spin-off from discussions during the formulation of
the Elementary Multiperspective Material Ontology EMMO being funded by the European Commission in the MarketPlace project under grant # 760173 and from discussions on applications of
EMMO for Metamodels and Digital Shadows within the WorkStream AII of the Cluster of Excellence “Internet of Production” funded by the Deutsche Forschungsgemeinschaft DFG under grant
[EXC 2023, Project-ID: 39062112].
Acknowledgments: The author thanks Emanuele Ghedini, Jesper Friis, Gerhard Goldbeck, Adham
Hashibon and Sebastiano Moruzzi for their patience and for all the interesting and constructive
discussions on philosophy and on various areas of physics during the intense work on EMMO.
Conflicts of Interest: The author declares no conflict of interest. The funders had no role in the
design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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Appendix A: 4D Geometry
This appendix proposes a solution to the dilemma of describing points, lines, surfaces, and volumes known from classical geometry – and all having different dimensions
there - all as 4D physicals. Based on a recent essay to derive physics laws from mereology
[1] and the mereological principle that any part of a 4D item again has to be a 4D item, the
basic approach to a solution is shortly outlined in the following in a very simplified way.
Any volume in 3D V3D is the product of a length L, a width W, and a height H and
can be written as scalar triple product:
𝐻e⃗ 𝐿e⃗ × 𝑊e⃗
=V
Assuming further the length L (and width W and height H) being - integer - multiples of an elementary length scale lp allows rewriting
ℎe⃗ 𝑙e⃗ × 𝑤e⃗
∗l =V
𝑤𝑖𝑡ℎ 𝑖𝑛𝑡𝑒𝑔𝑒𝑟𝑠 ℎ, 𝑙, 𝑤 ≥ 1
Volumes being thin in one of the three spatial dimensions - i.e. surfaces - then are
defined as 3D volumes where exactly one of the integers takes the value 1. Lines correspond to 3D volumes where exactly 2 of these integers take the value 1 and points are
elementary volumes in which all 3 integers take the value 1.
The time T as 4th dimension becomes a further factor in the product defining the
volume in 4D (V4D). cT is an integer multiple of a length scale lp = cp
𝑉
= 𝑉 𝑐𝑇 = 𝑉 𝑡𝑐
𝑤𝑖𝑡ℎ 𝑖𝑛𝑡𝑒𝑔𝑒𝑟 𝑡 ≥ 1
All objects in following scheme, figure A1, accordingly are 4D spacetime items:
Figure A1: Concept to integrate different 4D objects (”points”, “lines” “surfaces”) as
subclasses of a 4D physical spacetime. The classes are differentiated by the values of the
variables l, w, h, and t (see text). Arrows are to be read as “hasPart” relations.
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Appendix B: From Mereology to a Scalar Field
B1 Reference frame
To obtain information about the local existence or non-existence of things, their
mutual positions and their topological arrangement in a region of spacetime, it is beneficial to discretize this region into smaller sub-regions specifying a “reference frame” or a
“coordinate system”.
B2 Discretization of spacetime
Multiplying the “basic equation” (which is based on the top axiom of mereology [1])
with a pseudoscalar entity like e.g. a volume V is the first step towards discretizing space:
𝑉=
𝑉 =𝑉
V represents the total volume of the universe under consideration. Note that this
volume and all the sub-regions V are pseudoscalars (Figure B1 a). In a next step tiny –
elementary - cubes all having the same size - may be considered as abstracted regions.
These do not need to be interconnected but might be embedded in an unstructured matrix (Figure B1 b) and/or B2 c))
B1 a) The shape size of the abstract sub-regions
a priori is arbitrary. They do not need to be
interconnected, they do not need to be regular
shaped or to have the same size. Actually the
abstract sub-regions could also be the volumes
covered by the different things themselves.
B1b) As these sub-regions are abstract regions
they may be considered as tiny – elementary cubes all having the same size. Still they do not
need to be interconnected but might only be
embedded in an unstructured matrix 0 (dark).
They may reveal different orientations.
B3 “Self-assembly” of spacetime
In a further step the cubes can be arranged – or may by some process self-assemble into a regular lattice. This process might be interpreted as a condensation of a structured
volume from an unstructured gas phase containing individual volumes. In an intermediate
step molecule type arrangements of volume elements may form, Fig. B2 a:
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B2 a) “Molecules” of crystallized spacetime
forming the initial nucleus for a spactime
lattice .
B2 b) Arranged – or by some process
self-assembled – cubes in a regular lattice.
Their names (indices) are a priori random
and cube #2 not necessarily has to be a
neighbor of cube #1. Note that the volume
outside the structured grid is filled by an
“unstructured matrix” volume 0 to recover
the entire original region of space (dark).
B2 c) In contrast to B2 b) the cubes – though
arranged in a regular lattice – in this
situation are separated by a “foam” of the
matrix thing 0. Such a configuration appears
quite frequent in nature e.g. atoms in a
crystal being separated by vacuum/fields. In
this case all xi are connected to the matrix
thing only and do not have any direct
correlations.
The number N of things in figure B2 is the total number of cubes, which for a – cube/
brick type- reference frame is N N N , see figure B3. Actually the region under consideration here is composed of a structured grid and an unstructured matrix V0
All cube volumes Vi for i > 0 are identical with respect to their value and only differ
with respect to their position in the lattice being denoted by their name/index j. V 0 fills all
possible empty space between the cubes and also the remaining parts of the volume of
the universe not being filled by the cubes.
V +
V =V
In case nothing exists in the Volume 0, everything exists in the structured volume.
The total volume than can be re-sized to the structured part V' only
𝑉 = 𝑉′
Speculative side remark: Comparing this “self-assembly” process with a crystallization process further suggests the possible release of some latent heat, which might be the
initial energy being present during the big bang (which would be a big nucleation and
crystallization process and not an explosion in this picture).
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B4 Neighborhood relations
The names/indices of the individual volume elements in the preceding section were
selected arbitrary. A simple renaming does not affect the volume elements except
changing their name. By convention, naming the indices of the cubes allows for the introduction of neighborhoods e.g. cube # 5 is left neighbor of cube #6 and right neighbor of
cube#4 in a linear, one dimensional chain of cubes. This naming scheme can easily be
extended also to 3D, Figure B3.
B3) A linear naming scheme can also be
extended to 2D and to 3D. In this 2D example Nx
is 13 and Ny is 9. The index of cell “?” is
4*13+7=59 and cell “??” has the value Nx*Ny=
9*13= 117. Cube#5 would get cube #18 (Nx+5) as
an additional neighbor (“top”-neighbor) in this
2D example.
This naming step is most important as it introduces and defines “left” and “right”
(in one dimension) and also front/rear and top/bottom in 3 dimensions. Such neighborhood relations are essential and open up the possibility to describe relative positions of
things.
B5 Positions and Scalar Fields
For a 3 D situation the number of the cubes is NxNyNz. The index has been switched
to j here to distinguish it from the index i being used to count the things i. The volume of
the structured spacetime V’ is considered only in the following.
𝑉
=1
𝑉′
𝑉
=1
𝑉′
This equation can be directly multiplied with the basic equation for the –scalar–
things yielding
𝑉
𝑉′
=1
𝑉 = 𝑉′
For a single thing in vacuum/matrix (𝑁 =1) being represented on this “grid” this
equation reads
V = V′
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The term
V + V
V ≡ (V )
= V′
is the correlation between the elementary cube volume V j and the thing 1. This
product only exists where both Vj and coexist i.e. where both have non zero values.
The value of the index j corresponds to a well-defined position rj of the centroid of
the cube j as defined by the numbering/naming scheme being detailed above. The equation accordingly defines a discretized field describing the presence of thing 1 at various,
discrete positions rj:
V ≡ V = r⃗
In case the volume of the 1 is smaller than the volume element Vj , this correlation
only exists inside this particular volume Vj and the term then defines the position of the
thing i
V = V ( ) = r⃗( ) for < V
These two cases are illustrated in Fig B4:
Figure B4: Left: In case (red) isProperPart of a specific VolumeElement xj (depicted by
the black boundary) this particular VolumeElement defines the position of up to some
remaining uncertainty. Right: All VolumeElements x j being parts of denote regions
where is present. In the case they are ProperParts of , there is no other thing present
in this particular VolumeElement.
In case the thing 1 is bigger than an individual Vj the total volume of the thing i
then reads
V = V
Remark: This equation in a continuum formulation corresponds to:
(r⃗) dxdydz = V
In a next step time intervals can be introduced by multiplying the basic equation with
a scalar (not a pseudoscalar!) called time T
T=T
t =T
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Similar to the selection of identical volumes, also identical sized time intervals can
be selected making the index k a measure for the position of the respective time interval
on the arrow of time. A Volume j exists during a time interval tk means:
Vt > 1
This is a 4D spacetime volume element. Thing i exists during a time interval tk
means:
t >1
“Coexisting” eventually means that the correlation also is a correlation with the time
interval making the product not vanishing during that time interval
V t > 1
Eventually, a scalar field description for a – discretized - scalar field describing the
elementary regions covered by can be formulated
V t = V,t
which in a continuous formulation (with Vj and tk -> 0) can be identified with a scalar
field –the phase-field:
r⃗, t
→ (r⃗, t)
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Appendix C: States and Interface States
Quadruple junctions - i.e. the collocation of 4 things - correpond to “points” (which
are still finite sized volumes). Looking at the fourth oder eponents of the basic eqaution
thus can be expected to yield further insights. Raising the basic equation ot the fourth
power
1= + + +
yields a total of 44 = 256 terms which can be sorted using the multinomial
expansion19:
( + + + ) =
4!
𝑘1! 𝑘2! 𝑘3! 𝑘4!
The ki always sum up to 4 by definition. This allows classifying into
4 “unary” terms ∂ with one of the ki being equal to 4 and all others being
identical 0
84 “dual” boundary terms, where two of the ki are identical 0 and the others
complement to 4
144 “triple” boundary terms, where one of the ki is identical 0 and the three
others complement to 4
24 “quadruple” boundary terms, where all ki are identical 1
Unary states:
One ki=4 and the others equal to 0 yields a total of 4 states:
4!
4!
4!
4!
,
,
,
0! 4! 0! 0!
0! 0! 4! 0!
0! 0! 0! 4!
4! 0! 0! 0!
Dual boundaries:
Two ki=0 e.g. k3= 0 ∧ k4=0.
(i) Two other k are identical and complement to 4 e.g. k1=k2=2
4!
= 6 ∗ 6 𝑑𝑢𝑎𝑙 𝑏𝑜𝑢𝑛𝑑𝑎𝑟𝑖𝑒𝑠 = 36
2! 2! 0! 0!
(i) Two other k are different and complement to 4 e.g. k1=1 ∧ k2=3 or k1=3 ∧k2=1
4!
= 4 ∗ 6 𝑑𝑢𝑎𝑙 𝑏𝑜𝑢𝑛𝑑𝑎𝑟𝑖𝑒𝑠 = 24
1! 3! 0! 0!
4!
= 4 ∗ 6 𝑑𝑢𝑎𝑙 𝑏𝑜𝑢𝑛𝑑𝑎𝑟𝑖𝑒𝑠 = 24
3! 1! 0! 0!
In total the description of a dual boundary i,k thus comprises 3 types linear independant states ( 𝑖. 𝑒. ; 𝑎𝑛𝑑 ),which might be related to a “pseudo-vector” perpendicular to the boundary. A total of 6 dual boundaries exists: (k3=0∧k4=0 ∨
k2=0∧k4=0 ∨ k1=0 ∧ k4=0 ∨ k2=0 ∧ k3=0 ∨ k2=0 ∧ k1=0 ∨ k1=0∧k3=0)
Ternary junctions:
One of the ki =0 (e.g. k4) , two ki=1 and one ki=2.
There is a total of 4 Triple junctions (i.e. k1=0 ∨ k2=0 ∨ k3=0 ∨ k4=0):
19
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4!
= 12 ∗ 4 𝑡𝑟𝑖𝑝𝑙𝑒 𝑗𝑢𝑛𝑐𝑡𝑖𝑜𝑛𝑠 = 48
1! 1! 2! 0!
4!
= 12 ∗ 4 𝑡𝑟𝑖𝑝𝑙𝑒 𝑗𝑢𝑛𝑐𝑡𝑡𝑖𝑜𝑛𝑠 = 48
1! 2! 1! 0!
4!
= 12 ∗ 4 𝑡𝑟𝑖𝑝𝑙𝑒 𝑗𝑢𝑛𝑐𝑡𝑡𝑖𝑜𝑛𝑠 = 48
2! 1! 1! 0!
In total the description of a ternary junction i,j,k (a “triple boundary”) thus also
comprises 3 linear independent states ( 𝑖. 𝑒. ; 𝑎𝑛𝑑 ) , which
might be related to a “vector” parallel to the triple boundary line.
Quaternary Junction
All ki are equal: (k1=k2=k3=k4 = 1):
4!
= 24
1! 1! 1! 1!
Some simplications of above expressions are possible. The general unary term for
object i:
simplifies to
4!
𝑘 !𝑘 !𝑘 !𝑘 !
∂ =
∂ =
The Dual boundary terms for a single, boundary between i and j
4!
𝑘 !𝑘 !𝑘 !𝑘 !
∂ , =
simplify to
and further to
4!
𝑘 ! 𝑘 ! 0! 0!
∂ , =
∂ , =
4!
𝑘 !𝑘 !
This term then simplifies and splits into
4!
= 6
∂ , =
2! 2!
plus
plus
∧
∧
4!
= 4
3! 1!
4!
= 4
1! 3!
The triple junction terms for junctions involving i,j and k (i.e kl=0)
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∂ ,
simplify to
and can be split into
,
∂ ,
∂ ,
,
4!
𝑘 !𝑘 !𝑘 !𝑘 !
=
4!
𝑘 !𝑘 !𝑘 !
=
,
4!
= 12
2! 1! 1!
=
plus
4!
= 12
1! 2! 1!
plus
4!
= 12
1! 1! 2!
These triple junction terms eventually sum in total to
∂ ,
,
= 12 + 12 + 12
Which can be split into cylic and anticyclic permutations
∂ ,
,
=∂ ,
,
+∂ , ,
= 6 + 6 + 6
+ 6 + 6 + 6
The “6” ahead of each of the terms correspond to the number of cyclic permutations
of the i,j,k. This can be rewritten by introducing the two helicities (see section 3.4) into
using following definition
∂ ,
,
+∂ ,
∂ ,
,
,
= ∂ ,
=∂ ,
,
,
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Appendix D: Construction of an item from mereotopological / phase field information
Scope of this appendix is to provide the solution to the challenge posed in section
4.3.6 and to discuss further options for a refined description of a geometrical state. The
information provided for the solution of the challenge is listed again in following table.
The aim was to describe the well-known Tai-Chi symbol (a) based on connectivity. A
description of connectivity is necessary but not sufficient to describe this symbol. Symbol
(b) would have the same topological description. The phase field concept brings further
information about the relative sizes of the objects. The fraction object 1 takes of the universe shall be equal the fraction object 2 takes and the same holds for objects 3&4) ( =
⋀ = ) Also the relative fractions of interfaces may be used as criteria. Note that
the equal sign indicates the fractions the object take of the universe to be identical, but not
the objects themselves. This further constrains the possible choices of a geometrical configuration matching all conditions but still does not lead to the Tai-Chi Symbol (c). Further constraints can be placed on the ratio of the surface (with finite thickness) to the area
(remember that in mereology both have the same dimension) leading to a description of
disc type objects (d). This brings the description of the Tai Chi symbol closer to the desired object. Still many things like “distances” or “orientations” are missing. Figuring out
possible descriptions for further constraints is subject to future efforts.
a)
0: gray, 1 white, 2 black, 3 white, 4 black
Topological information (phase–field perspective):
𝜕
𝜕
,
𝜕
,
= 𝜕
= 𝜕
,
+ 𝜕
,
𝜕
,
= 𝜕
+ 𝜕
,
,
= 𝜕
+ 𝜕
,
,
+ 𝜕
,
,
+ 𝜕
,
𝜕
,
+ 𝜕
+ 𝜕
+ 𝜕
,
, ,
+ 𝜕
, ,
+ 𝜕
, ,
= 𝜕
+ 𝜕
b) Topological information (RCC perspective):
,
, ,
, ,
, ,
+ 𝑒𝑥𝑡.
1 isConnected 2 is abbreviated as 1C2
1𝐶0 ∧ 1𝐶2 ∧ 1𝐶4
2𝐶0 ∧ 2𝐶1 ∧ 2𝐶3
3𝐶2 𝑜𝑛𝑙𝑦, 4𝐶1 𝑜𝑛𝑙𝑦
0𝐶1 ∧ 0𝐶2 ∧ ¬0𝐶3 ∧ ¬0𝐶4
c) “Relative quantitative information” (phase–field perspective):
𝜕
,
= ⋀ =
= 𝜕
𝜕
,
,
⋀ 𝜕
> 𝜕
,
,
= 𝜕
… . 𝑒𝑡𝑐 …
,
d) “further possible constraints”: Requesting the ratio of “object
boundary”* to “object area” to be minimum:
𝜕 ,
𝜕 ,
= ! min 𝑎𝑛𝑑
= ! 𝑚𝑖𝑛
will constrain the two objects 3 and 4 to be discs. The same holds
for the total boundary of the objects with the matrix phase:
𝜕 , + 𝜕 ,
= ! 𝑚𝑖𝑛
+ + +
which will constrain the overall “symbol” to be a disc.
*note that the boundary also is an area and the ratio thus is dimensionless
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