SOME PROPERTIES OF PROXIMAL HOMOTOPY THEORY
Abstract.
Nearness theory comes into play in homotopy theory because the notion of closeness between points is essential in determining whether two spaces are homotopy equivalent. While nearness theory and homotopy theory have different focuses and tools, they are intimately connected through the concept of a metric space and the notion of proximity between points, which plays a central role in both areas of mathematics. This manuscript investigates some concepts of homotopy theory in proximity spaces. Moreover, these concepts are taken into account in descriptive proximity spaces.
Key words and phrases:
Proximity, descriptive proximity, homotopy, fibration, cofibration2010 Mathematics Subject Classification:
54E05, 54E17, 14D06, 55P051. Introduction
Topological perspective first appears in the scientific works of Riemann and Poincare in the 19th century[19, 18]. The concept reveals that the definitions of topological space emerge either through Kuratowski’s closure operator[2] or through the use of open sets. Given the Kuratowski’s closure operator, there are many strategies and approaches that seem useful in different situations and are worth developing, as in nearness theory. Proximity spaces are created by reflection of the concept of being near/far on sets. Given a nonempty set , and any subsets , , we say that is near if . A method based on the idea of near sets is first proposed by Riesz, is revived by Wallace, and is axiomatically elaborated it by Efremovic[20, 22, 1]. Let be a nonempty set. A proximity is a binary relation (actually a nearness relation) defined on subsets of and generally denoted by . One can construct a topology on induced by the pair using the closure operator (named a proximity space). Indeed, for any point , if is near , then . In symbols, if , then . It should be noted that the notation is sometimes used instead of for abbreviation (in particular in a metric space). It appears that several proximities may correspond in this way to the same topology on . Moreover, several topological conclusions can be inferred from claims made about proximity spaces.
The near set theory is reasonably improved by Smirnov’s compactification, Leader’s non-symmetric proximity, and Lodato’s symmetric proximity[21, 3, 4]. Peters also contributes to the theory of nearness by introducing the concept of spatial nearness and descriptive nearness[9, 10]. In addition, the strong structure of proximity spaces stands out in the variety of application areas: In[6], it is possible to see the construction of proximity spaces in numerous areas such as cell biology, the topology of digital images, visual marketing, and so on. In a broader context, the application areas of near spaces are listed along with the history of the subject in [11]. According to this, some near set theory-related topics are certain engineering problems, image analysis, and human perception. The main subject of this article, algebraic topology approaches in proximity spaces, is a work in progress in the literature. Mapping spaces, one of the fundamental concepts in homotopy theory, is examined in proximity spaces in [8]. The proximal setting of the notion fibration is first defined in [17]. Peters and Vergili have recently published interesting research on descriptive proximal homotopy, homotopy cycles, path cycles, and Lusternik-Schnirelmann theory of proximity spaces[14, 15, 16, 17].
This paper is primarily concerned with the theory of proximal homotopy and is organized as follows. In Section 2, we discuss the general properties of proximity and descriptive proximity spaces. Section 3 covered 4 main topics in proximity spaces: Mapping spaces, covering spaces, fibrations, and cofibrations. They provide different types of examples and frequently used algebraic topology results in proximal homotopy cases. Next, the descriptive proximal homotopy theory, which is handled in Section 5, discusses the ideas from Section 3.3 and illustrates them with examples by using feature vectors as color scales. Finally, the last section establishes the direction for future works by clearly emphasizing the application areas of homotopy theory.
2. Preliminaries
Before proceeding with the main results, it is critical to remember the fundamental characteristics of proximity and descriptive proximity spaces.
2.1. On Proximity Spaces
is a nearness relation and is read as “ is near ”. Otherwise, the notation means that “ is far from ”.
Definition 2.1.
As an example of a proximity space, the discrete proximity on a (nonempty) set is defined by “” for , . Also, the indiscrete proximity on a (nonempty) set is given by for any nonempty subsets and in . A subset of with a proximity is a closed set if “”. The converse is also valid. Therefore, given a proximity on , a topology is defined by the family of complements of all closed sets via Kuratowski closure operator[5].
Theorem 2.2.
[5] For a proximity and a topology on a set , we have that the closure coincides with .
Given any proximities and on respective sets and , a map from to is called proximally continuous if “” for , [1, 21]. We denote a proximally continuous map by “pc-map”. Given a proximity on and a subset , a subspace proximity is defined on the subsets of as follows[5]: “” for , . Let be a proximity space and a subspace proximity. A pc-map is a proximal retraction provided that is an identity map on , where is an inclusion map.
Lemma 2.3.
[14](Gluing Lemma) Assume that and are pc-maps with the property that they agree on the intersection of and . Then the map , defined by for any , is a pc-map.
We say that is a proximity isomorphism provided that is a bijection and each of and is pc-map[5]. According to this, and are said to be proximally isomorphic spaces. Another important proximity relation is given on the subsets of the cartesian product of two proximity spaces as follows[3]: Let and be any proximities on respective sets and . For any subsets and of , is near if and .
Definition 2.4.
[14] Given two pc-maps and from to , if there is a pc-map from to with the properties and , then and are called proximally homotopic maps.
The map in Definition 2.4 is said to be a proximal homotopy between and . We simply denote a proximal homotopy by “prox-hom”. Similar to topological spaces, prox-hom is an equivalence relation on proximity spaces. Let be a proximity on and . is called a neighborhood of , denoted by , provided that [5]. The proximal continuity of any function can also be expressed as
for any , .
Theorem 2.5.
[5] Let for . Then
Definition 2.6.
[14] For any two elements and in with a proximity , a proximal path from to in is a pc-map from to for which and .
The proximal continuity of the proximal path in Definition 2.6 means that “” for , . Recall that is a connected proximity space if and only if for all nonempty , , implies that [7]. Let be a proximity on . Then is called a path-connected proximity space if, for any points and in , there exists a proximal path from to in .
Lemma 2.7.
Proximal path-connectedness implies proximal connectedness as in the same as topological spaces.
Proof.
Let be a path-connected proximity on . Suppose that is not proximally connected. Then there exists two nonempty subsets , in such that and . Since is proximally path-connected, there is a pc-map with and . Consider the subsets and . They are nonempty sets because and . Their union is , and by the proximal continuity of , . This contradicts with the fact that is proximally connected. Finally, is proximally connected. ∎
Theorem 2.8.
Proximal path-connectedness coincides with proximal connectedness.
Proof.
Given a proximity on , by Lemma 2.7, it is enough to prove that any connected proximity space is a path-connected proximity space. Suppose that is not a path-connected proximity space. Then any map with and is not proximally continuous, i.e., if for all , , then . Take and . Since , we have that . It follows that is not near . On the other hand,
Thus, is not proximally connected and this is a contradiction. ∎
2.2. On Descriptive Proximity Spaces
Assume that is a nonempty set and . Consider the set of maps (generally named as probe functions) , , such that denotes a feature value of . Let . Then the set of descriptions of a point in , denoted by , is given by the set , where (generally called a feature vector for ) equals . For , , the binary relation is defined by
(1) |
and is read as “ is descriptively near ”[9, 10, 12]. Also, is often used to state “ is descriptively far from ”. The descriptive intersection of and and the descriptive union of and are defined by
and
respectively[12].
A binary relation defined by (1) [6] satisfies
is a descriptive nearness relation.
Definition 2.9.
[6] The nearness relation for the subsets of is said to be an descriptive Efremovic proximity (simply denoted by descriptive EF-proximity or descriptive proximity) if satisfies (f)-(k). is said to be a descriptive EF-proximity (or descriptive proximity) space.
A map is called descriptive proximally continuous provided that “” for , [13, 14]. We denote a descriptive proximally continuous map by “dpc-map”. Let be a descriptive proximity on , and a subset. Then a descriptive subspace proximity is defined on the subsets of as follows:
for , . Given a descriptive proximity on , a descriptive subspace proximity , and the inclusion , a dpc-map is called a descriptive proximal retraction if .
Lemma 2.10.
[14](Gluing Lemma) Assume that and are two dpc-maps with the property that they agree on the intersection of and . Then the map from to , defined by for any , is a dpc-map.
is a descriptive proximity isomorphism if is a bijection and each of and is dpc-map[5]. Hence, and are called descriptive proximally isomorphic spaces. A descriptive proximity relation on the cartesian product of descriptive proximity spaces is defined as follows[3]: Assume that and are any descriptive proximities on and , respectively. and implies that is descriptively near , where and are any subsets of .
Definition 2.11.
[14] Let , be any map. Then and are said to be descriptive proximally homotopic maps provided that there exists a dpc-map with and .
In Definition 2.11, is a descriptive proximal homotopy between and . We simply denote a descriptive proximal homotopy by “dprox-hom”. Given a descriptive proximity on and a subset , is said to be a neighborhood of , denoted by , if [13].
Theorem 2.12.
[5] Let for . Then
Definition 2.13.
[14] Let and be any two elements in with a descriptive proximity . Then a descriptive proximal path from to in is a dpc-map from to for which and .
In Definition 2.13, the fact is descriptive proximally continuous means that “” for , . A descriptive proximity space is connected if and only if for all nonempty , , implies that [7]. A descriptive proximity space is path-connected if, for any points and in , there exists a descriptive proximal path from to in .
Theorem 2.14.
In a descriptive proximity space, path-connectedness coincides with connectedness.
Proof.
Follow the method in the proof of Theorem 2.8. ∎
3. Homotopy Theory on Proximity Spaces
This section, one of the main parts (Section 3 and Section 4) of the paper, examines the projection of the homotopy theory elements in parallel with the proximity spaces. First, we start with the notion of proximal mapping spaces. Then we have proximal covering spaces. The last two parts are related to proximal fibrations and its dual notion of proximal cofibrations. Results on these four topics that we believe will be relevant to future proximity space research are presented.
3.1. Proximal Mapping Spaces
The work of mapping spaces in nearness theory starts with [8] and is still open to improvement. Note that the study of discrete invariants of function spaces is essentially homotopy theory in algebraic topology, and recall that depending on the nature of the spaces, it may be useful to attempt to impose a topology on the space of continuous functions from one topological space to another. One of the best-known examples of this is the compact-open topology.
Definition 3.1.
Let and be two proximities on and , respectively. The proximal mapping space is defined as having the following proximity relation on itself: Let , and and be any subsets of pc-maps in . We say that if the fact implies that .

Example 3.2.
Consider the set of cells in Figure 3.1 with the proximity . Define three proximal paths , , and by
For all , . This means that is near . On the other hand, for , we have that and , that is, and are not near in .
Definition 3.3.
For the proximal continuity of a map , we say that the fact implies that for any subsets , .
Proposition 3.4.
Let , , and be any proximities on , , and , respectively. Then the map is pc-map if and only if the map defined by is pc-map for and .
Proof.
Assume that for , . If for , , then we find . Since is a pc-map, we get . It follows that . This shows that , i.e., is a pc-map. Conversely, assume that . Then we get in and in . Since is a pc-map, we get . So, we have that . This leads to the fact that , namely that, is a pc-map. ∎
Theorem 3.5.
Let , , and be any proximities on , , and , respectively. Then and are proximally isomorphic spaces.
Proof.
Define a bijective map by . For any pc-maps , such that , we have that . Indeed, for , , we have that . This means that . Another saying, we find . Therefore, is a pc-map. For the proximal continuity of , assume that . Then we have that and are near in for , . If in , then we have that . It follows that . Thus, we obtain that , which means that . Finally, is a proximity isomorphism. ∎
Theorem 3.6.
Let , , and be any proximities on , , and , respectively. Then and are proximally isomorphic spaces.
Proof.
The proximal isomorphism is given by the map
with , where and are the projection maps from to the respective spaces. For any , such that is near , we obtain that is near for each . Therefore, we have that is near . Thus, is near , i.e., is a pc-map. For the pc-map
with , where is a diagonal map of proximity spaces on , we have that and are identity maps on respective proximity spaces and . Consequently, and are proximally isomorphic spaces. ∎
Definition 3.7.
Let and be any proximities on and , respectively. Then the proximal evaluation map
is defined by .
To show that the evaluation map is a pc-map, we first assume that in . This means that for a proximity relation on and in . It follows that in for any and . Finally, we conclude that
Example 3.8.
Consider the proximal evaluation map . Since is proximally isomorphic to by the map , the restriction
defined by , is a pc-map.
Example 3.9.
Note that, in topological spaces, the map , , is the path fibration. Similarly, the map , , is the path fibration with a fixed initial point at .
3.2. Proximal Covering Spaces
A covering space of a topological space and the fundamental group are tightly related. One can categorize all the covering spaces of a topological space using the subgroups of its fundamental group. Covering spaces are not only useful in algebraic topology, but also in complex dynamics, geometric group theory, and the theory of Lie groups.
Definition 3.10.
A surjective and pc-map is a proximal covering map if the following hold:
-
•
Let be any subset with . Then there is an index set satisfying that
with , where for each .
-
•
when for , .
-
•
is a proximal isomorphism for every .
In Definition 3.10, is called a proximal covering space of . For , is said to be a proximal sheet. For any , is called a proximal fiber of . The map is a proximal isomorphism if the map is a proximal isomorphism. However, the converse is not generally true. Given any proximity on , it is obvious that the identity map on is always a proximal covering map.

Example 3.11.
Assume that and are two proximity spaces such that is a surjective and pc-map defined by for each (see Figure 3.2). Let and a proximal neighborhood of . For , , and , we have , where , , and . Note that , , and , i.e., is a proximal neighborhood of for each . Moreover, for , with , we have that is not , and , , and are proximal isomorphisms. For other points , , and , a similar process is done. This shows that is a proximal covering map.
Example 3.12.
Given a proximity on , consider the surjective and pc-map with . For a proximal neighborhood of any subset , we have that
for a proximal neighborhood of . Moreover, , , is a proximal isomorphism. Thus, is a proximal covering map.
Proposition 3.13.
Any proximal isomorphism is a proximal covering map.
Proof.
Let be a proximal isomorphism. Then is a pc-map. Lemma 4.1 of [6] says that is continuous with respect to compatible topologies. Therefore, we get for an open neighborhood of any subset . Combining with the fact that a proximal neighborhood of a set is also a neighborhood, we conclude that for a proximal neighborhood of in and a proximal neighborhood of , where in . Furthermore, is an isomorphism of proximity spaces because is an isomorphism of proximity spaces. Finally, is a proximal covering map. ∎
The following diagram illustrates two ways to prove that any proximal isomorphism is a covering map between respective compatible topologies on both and :
Theorem 3.14.
The cartesian product of two proximal covering maps is a proximal covering map.
Proof.
Let and be two proximal covering maps. Then for a proximal neighborhood of , we have that
for a proximal neighborhood of , where . We also have that with any when . Similarly, for a proximal neighborhood of , we have that
for a proximal neighborhood of , where . Also, we have that with any when . For a proximal neighborhood of , we get
It is clear that when for any , and , . Moreover, since and are proximal isomorphisms, the map is a proximal isomorphism. Consequently, is a proximal covering map. ∎
3.3. Proximal Fibrations
Some topological problems can be conceptualized as lifting or extension problems. In the homotopy-theoretic viewpoint, fibrations and cofibrations deal with them, respectively (see Section 3.4 for the detail of cofibrations). Postnikov systems, spectral sequences, and obstruction theory, which are important tools constructed on homotopy theory, involve fibrations. On the other hand, the notion of proximal fibration of proximity spaces is first mentioned in [17], and we extend this with useful properties in proximity cases.
Definition 3.15.
A pc-map is said to have the proximal homotopy lifting property (PHLP) with respect to a proximity space if for an inclusion map , , for every pc-map , and prox-hom with , then there exists a prox-hom for which and .
Definition 3.16.
A pc-map is said to be a proximal fibration if it has the PHLP for any proximity space .
Example 3.17.
For any proximity spaces and , we shall show that the projection map onto the first factor is a proximal fibration. Consider the diagram
with . Then there is a map defined by , where is the composition of the first projection map and . Since and the first projection map are pc-maps, it follows that is a pc-map. Moreover, we get , which means that is a (constant) prox-hom. Combining this result with the fact that is a prox-hom, we have that is a prox-hom. Moreover, we get
and
This shows that is a proximal fibration.
Example 3.18.
Let be the constant map of proximity spaces. Given the diagram
with the condition . Then there exists a (constant) prox-hom defined by satisfying that
This proves that is a proximal fibration.
Proposition 3.19.
i) The composition of two proximal fibrations is also a proximal fibration.
ii) The cartesian product of two proximal fibrations is also a proximal fibration.
Proof.
i) Let and be any proximal fibrations. Then for the inclusion map , pc-maps , , and proximal homotopies , with the property and , there exist two proximal homotopies and satisfying that
If we take , then we have the following commutative diagram:
Thus, we get
This show that the composition is a proximal fibration.
ii) Let and be any proximal fibrations. Then for the inclusion map , pc-maps , , and proximal homotopies , with the property and , there exist two proximal homotopies and satisfying that
Consider the map . Then is clearly a prox-hom and we have the following commutative diagram:
Thus, we get
This proves that the cartesian product is a proximal fibration. ∎
Let be a pc-map. Then for any pc-map , a proximal lifting of is a pc-map satisfying that .
Proposition 3.20.
Let be a proximal fibration. Then
i) The pullback is a proximal fibration for any pc-map .
ii) For any proximity space , the map is a proximal fibration.
Proof.
i) Let
be a proximity space with the proximity on itself. Since is a proximal fibration, for an inclusion map , for any pc-map from to , and prox-hom with , there exists a prox-hom
for which and . Assume that a map from to is a pc-map and is a prox-hom with . If we define by , then we observe that
This gives the desired result.
ii) Consider the following diagrams:
and
Since is a proximal fibration, we have as the prox-hom in the upper diagram. is proximally isomorphic to and we can think of as the prox-hom . By Proposition 3.4, we have the prox-hom in the lower diagram. This map satisfies the desired conditions, and thus, we conclude that is a proximal fibration. ∎
3.4. Proximal Cofibrations
Similar to the proximal fibration, we currently deal with the notion of proximal cofibration of proximity spaces. We first study the problem of extension in homotopy theory, and then present the definition of proximal cofibration with its basic results.
Definition 3.21.
Given two proximity spaces and , a pc-map is said to have a proximal homotopy extension property (PHEP) with respect to a proximity space if for inclusion maps and , for every pc-map , and prox-hom with , then there exists a prox-hom satisfying and .

Example 3.22.
Let be a set with the proximity on itself as in Figure 3.3. Let and be proximal paths on such that , , , and . Consider the following diagram for an inclusion map , where is the map and is defined by for all :
i.e., the equality holds. Then, by Gluing Lemma, there exists a prox-hom defined by and for all which satisfy
Schematically, we have the diagram
Definition 3.23.
A pc-map is said to be a proximal cofibration if it has the PHEP with respect to any proximity space .
Example 3.24.
Let be an inclusion map such that . Then is a natural proximal cofibration since there exists a prox-hom
satisfying the conditions of PHEP with respect to any proximity space .
Proposition 3.25.
i) Let and be two maps such that and are proximally isomorphic to and , respectively, and the following diagram commutes:
Then is a proximal cofibration if and only if is a proximal cofibration.
ii) The composition of two proximal cofibrations is also a proximal cofibration.
iii) The coproduct of two proximal cofibrations is also a proximal cofibration.
iv) Let be a proximal cofibration and the following is a pushout diagram.
Then is a proximal cofibration.
Proof.
i) Let be a proximal cofibration. By Definition 3.21, there is a prox-hom such that
for any pc-map and prox-hom from to with . Assume that and are two proximal isomorphisms. Since the diagram commutes, we know that
Let and be two inclusion maps, a pc-map, and from to a prox-hom for which
Then there exists a prox-hom
such that and . Conversely, assume that is a proximal cofibration. Similarly, for a prox-hom from to that makes a cofibration, there exists a prox-hom
that makes a proximal cofibration.
ii) Let and be two proximal cofibrations. Then for any pc-map and prox-hom from to with
there is a prox-hom such that and , similarly, for any pc-map and prox-hom with
there is a prox-hom such that and . Combining these results with the fact , we have the following: For a pc-map and prox-hom with
there is a prox-hom such that
This proves that is a proximal cofibration.
iii) Let be a family of cofibrations for all . Then we shall show that is a cofibration. Since for all , is cofibration, we have that for any pc-map from to and prox-hom with
there is a prox-hom such that and . Now assume that for a pc-map and prox-hom with
Then there exists a map such that for a map . If we define as , then we find that . It follows that
and
Finally, we have that is a cofibration.
iv) Let be a proximal cofibration, i.e., there is a prox-hom such that
for any pc-map and prox-hom from to with . Since we have a pushout diagram, it follows that holds. Now assume that is a pc-map, and from to is a prox-hom with , , and
Then there exists a prox-hom
such that . Moreover, we have that
and
As a consequence, is a proximal cofibration. ∎
Theorem 3.26.
is a proximal cofibration if and only if is a proximal retract of .
Proof.
Let . If is a proximal cofibration, then for any pc-map and prox-hom with , there is a prox-hom such that and . Hence, is a proximal retraction of . Conversely, let be a proximal retraction. Assume that is a pc-map and is a prox-hom with
Define a map by and . By Lemma 2.3, is a pc-map. Therefore, the map is a proximal fibration satisfying that and . This shows that is a proximal cofibration. ∎
4. Descriptive Proximity Definitions
This section is dedicated to describing the concepts given in Section 3 on descriptive proximity spaces. Recall that a (spatial) proximity is also a descriptive proximity, and note that, in the examples of this section, descriptions of feature vectors consider the colors of boxes or some parts of balls (see Example 4.2, Example 4.7, and Example 4.12).
Definition 4.1.
Let and be two descriptive proximity spaces. The descriptive proximal mapping space is defined as the set
having the following descriptive proximity relation on itself: Let , and and be any subsets of dpc-maps in . We say that if the fact implies that .
Example 4.2.
Consider the set in Figure 3.1 with the descriptive proximity , where is a set of probe functions that admits colors of given boxes. Define three descriptive proximal paths , , and by
For all , . Indeed,
namely that, is descriptively near . However, for , we have that green and black, that is, and are not descriptively near in .
Definition 4.3.
We say that a map is descriptive proximally continuous if the fact implies that for any subsets , .
Definition 4.4.
For any descriptive proximity spaces and , the descriptive proximal evaluation map
is defined by .
Proposition 4.5.
The descriptive proximal evaluation map is a dpc-map.
Proof.
We shall show that for any , and , , implies .
where has a descriptive proximity . ∎
Definition 4.6.
A surjective and dpc-map between any descriptive proximity spaces and is a descriptive proximal covering map if the following hold:
-
•
Let be any subset with . Then there is an index set satisfying that
with , where for each .
-
•
when for , .
-
•
is a descriptive proximal isomorphism for every .
In Definition 4.6, is called a descriptive proximal covering space of . For , is said to be a descriptive proximal sheet. For any , is called a descriptive proximal fiber of . The map is a descriptive proximal isomorphism if the map is a descriptive proximal isomorphism. However, the converse is not generally true. Given any descriptive proximity space , it is obvious that the identity map on is always a descriptive proximal covering map.
Example 4.7.
Consider the surjective and dpc-map , defined by for any , in Figure 3.2, where is a set of probe functions that admits colors of given shapes. Let and a neighborhood of . For , , and , we have that , where , , and . This gives us that for all , is a neighborhood of . We also observe that if for , . In addition, is a descriptive proximal isomorphism for each . If one considers and , the same process can be repeated. Let in . Then , where , , and . We observe that , , and . Note that . Furthermore, is a descriptive proximal isomorphism for each . This proves that is a descriptive proximal covering map.
Definition 4.8.
A dpc-map is said to have the descriptive proximal homotopy lifting property (DPHLP) with respect to a descriptive proximity space if, for an inclusion map defined by , for every dpc-map , and dprox-hom with , then there exists a dprox-hom for which and .
Definition 4.9.
A map , which is a dpc-map, is said to be a descriptive proximal fibration if it has the DPHLP for any descriptive proximity space .
Definition 4.10.
Given two descriptive proximity spaces and , a dpc-map is said to have a dprox-hom extension property (DPHEP) with respect to a descriptive proximity space if there exists a dprox-hom
satisfying the conditions and for any dpc-map , and dprox-hom with the equality , where the maps and are inclusions.
Definition 4.11.
A dpc-map is said to be a descriptive proximal cofibration if it has the DPHEP with respect to any descriptive proximity space .
Example 4.12.
Let be a descriptive proximity space as in Figure 3.3, where is a set of probe functions which admits colors of given rounds. Assume that and are descriptive proximal paths on such that is a descriptive proximal path from to and is a descriptive proximal path from to . Let be an inclusion map. For a dpc-map defined as , and a dprox-hom defined by for all with the property , there exists a dprox-hom
defined by and for all which satisfy
In another saying, the diagram
holds.
5. Conclusion
A subfield of topology called homotopy theory investigates spaces up to continuous deformation. Although homotopy theory began as a topic in algebraic topology, it is currently studied as an independent discipline. For instance, algebraic and differential nonlinear equations emerging in many engineering and scientific applications can be solved using homotopy approaches. As an example, these equations include a set of nonlinear algebraic equations that model an electrical circuit. In certain studies, the aging process of the human body is presented using the algebraic topology notion of homotopy. In addition to these examples, one can easily observe homotopy theory once more when considering the algorithmic problem of robot motion planning. In this sense, this research is planned to accelerate homotopy theory studies within proximity spaces that touch many important application areas. Moreover, this examination encourages not only homotopy theory but also homology and cohomology theory to take place within proximity spaces. The powerful concepts of algebraic topology always enrich the proximity spaces and thus it becomes possible to see the topology even at the highest level fields of science such as artificial intelligence and medicine.
Acknowledgment. The second author is grateful to the Azerbaijan State Agrarian University for all their hospitality and generosity during his stay. This work has been supported by the Scientific and Technological Research Council of Turkey TÜBİTAK-1002-A with project number 122F454.
References
- [1] V.A. Efremovic, The geometry of proximity I, Matematicheskii Sbornik(New Series), 31(73), 189-200, (1952).
- [2] C. Kuratowski, Topologie. I, Panstwowe Wydawnictwo Naukowe, Warsaw, xiii+494 pp., (1958).
- [3] S. Leader, On products of proximity spaces, Mathemathische Annalen, 154, 185-194, (1964).
- [4] M.W. Lodato, On topologically induced generalized proximity relations, Proceedings of the American Mathematical Society, 15, 417-422, (1964).
- [5] S.A. Naimpally, and B.D. Warrack, Proximity Spaces, Cambridge Tract in Mathematics No. 59, Cambridge University Press, Cambridge, UK, x+128 pp., Paperback (2008), MR0278261 (1970).
- [6] S.A. Naimpally, and J.F. Peters, Topology With Applications. Topological Spaces via Near and Far, World Scientific, Singapore (2013).
- [7] S.G. Mrowka, and W.J. Pervin, On uniform connectedness, Proceedings of the American Mathematical Society, 15(3), 446-449, (1964).
- [8] F. Pei-Ren, Proximity on function spaces, Tsukuba Journal of Mathematics, 9(2), 289-297, (1985).
- [9] J.F. Peters, Near sets. General theory about nearness of objects, Applied Mathematical Sciences, 1(53), 2609-2629, (2007).
- [10] J.F. Peters, Near sets. Special theory about nearness of objects, Fundamenta Informaticae, 75(1-4), 407-433, (2007).
- [11] J.F. Peters, and S.A. Naimpally, Applications of near sets, American Mathematical Society Notices, 59(4), 536-542, (2012).
- [12] J.F. Peters, Near sets: An introduction, Mathematics in Computer Science, 7(1), 3-9, (2013).
- [13] J.F. Peters, Topology of Digital Images: Visual Pattern Discovery in Proximity Spaces (Vol. 63), Springer Science & Business Media (2014).
- [14] J.F. Peters, and T. Vergili, Good Coverings of Proximal Alexandrov Spaces. Homotopic Cycles in Jordan Curve Theorem Extension., arXiv preprint arXiv:2108.10113 (2021).
- [15] J.F. Peters, and T. Vergili, Descriptive Proximal Homotopy. Properties and Relations., arXiv preprint arXiv:2104.05601v1 (2021).
- [16] J.F. Peters, and T. Vergili, Good Coverings of Proximal Alexandrov Spaces. Path Cycles in the Extension of the Mitsuishi-Yamaguchi good covering and Jordan Curve Theorems., Applied General Topology, 24(1), 25-45, (2023).
- [17] J.F. Peters, and T. Vergili, Proximity Space Categories. Results For Proximal Lyusternik-Schnirel’man, Csaszar And Bornology Categories., submitted to Afrika Matematika (2022).
- [18] H. Poincare, Analysis Situs, Paris, France: Gauthier-Villars (1895).
- [19] B. Riemann, Grundlagen für eine allgemeine Theorie der Functionen einer veränderlichen complexen Grösse, Huth, (1851).
- [20] F. Riesz, Stetigkeitsbegriff und abstrakte mengenlehre, Atti del IV Congresso Internazionale dei Matematici II, 18-24pp, (1908).
- [21] Y.M. Smirnov, On proximity spaces, Matematicheskii Sbornik(New Series), 31(73), 543-574, (1952). English Translation: American Mathematical Society Translations: Series 2, 38, 5-35, (1964).
- [22] A.D. Wallace, Separation Space, Annals of Mathematics, 687-697, (1941).