Invariants of Bipartite Kneser B type-k graphs
Abstract.
Let where is fixed, , and . Let be the set of all non-empty subsets of such that where . Let . For a fixed , let be the set of -element subsets of , . . For any , let . Define a bipartite graph with parts and and having adjacency as is adjacent to if and only if or . A graph of this type is called a bipartite Kneser B type- graph and denoted by . In this paper, we calculated various graph invariants of .
Key words and phrases:
Bipartite Kneser graphs, Bipartite Kneser B type-k graph, Degree sequence, cyclomatic number2010 Mathematics Subject Classification:
05C07, 05C12, 05C691. Introduction
Named after the German mathematician Martin Kneser, Kneser graphs are an interesting family of combinatorial structures in the field of graph theory. These graphs have applications in several fields, such as algebraic geometry, combinatorics, and topology.
Numerous fields, such as combinatorics, topology, coding theory, and combinatorial optimisation have Kneser graph applications. These are fundamental building blocks of combinatorial theory and can lead to interesting problems and conjectures. In this subject, questions about their chromatic number [10] and other graph-theoretic properties continue to be crucial to research. Kneser graphs are related to topological problems, for example, by helping to understand the homotopy type of some spaces[6]. Kneser graphs are used in coding theory[2] to design codes with efficient error-correcting features.
The Kneser graph has the -subsets of as vertices. If the -subsets are disjoint, then two vertices are adjacent. For integers and , any vertex in the bipartite Kneser graph is either a -element subset or an element subset of . Here, the sets and are adjacent if .
The algebraic structures of different varieties of bipartite Kneser graphs, [1], [7], were then built and investigated.
Here is a modified version of the bipartite Kneser graph : Let for a fixed integer . Let be the set of all non-empty subsets of . Let be the set of 1-element subsets of and . Define a bipartite graph with an adjacency of vertices as described: A vertex is adjacent to a vertex if and only if . This graph is called a bipartite Kneser type-1 graph[8], and is denoted by . Sreekumar K. G. et al., [9], defined a bipartite Kneser B type- graph, , which are more general bipartite graphs.
This paper determines the following invariants of the bipartite Kneser B type- graph : Order, size, independence number, covering number, domination number, vertex connectivity, edge connectivity, girth, circuit rank, distance between two vertices, eccentricity, periphery, centre, median, and degree sequence.
2. Preliminaries
The greatest distance between any two vertices in a graph is known as its diameter. The eccentricity of a vertex, , is the largest possible distance between it and any other vertex. The maximum eccentricity obtained by the vertices of a connected simple graph is the diameter, . The least eccentricity among all vertices of is the radius, . The centre of a graph is the subgraph induced by the set of vertices with the lowest eccentricity. The periphery of is . The length of the shortest cycle in a graph is its girth.For any vertex of a connected graph , the status of denoted as is the sum of the distances from to other vertices of . That is, . The set of vertices with minimal status is the median of the graph.
The girth of a graph is the length of the shortest cycle in it.
3. Basic definitions and examples
Definition 3.1.
Let where is fixed, , and . Let be the set of all non-empty subsets of such that where . Let . For a fixed , let be the set of -element subsets of , . . For any , let . Define a bipartite graph with parts and and having adjacency as is adjacent to if and only if or . A graph of this type is called the bipartite Kneser B type- graph [9] and is denoted by .
Definition 3.2.
An -vertex in is an element in containing elements, where . Members of are called -vertices.
Example 3.3.
An example of a bipartite Kneser B type-1 graph, for ,namely is shown in figure 1.

Example 3.4.
for is illustrated in figure 2.
The -vertex is adjacent to the -vertex as . By the same argument, is adjacent to the -vertex . Also, is adjacent to as . Similar arguments explain the adjacency shown in figure 2.

Example 3.5.
Given the large size of , we will present its bipartition here. According to the definition of , a vertex in is adjacent to a vertex in if and only if or .
,
,
While contains six -vertices, contains four -vertices, six -vertices, sixteen -vertices, and eight -vertices.
4. Some parameters of bipartite Kneser B type- graphs
Theorem 4.1.
The order of , .
Proof.
Every vertex of is a set formed using the elements of . Here
has vertices as subsets of cardinality to . is the total number of sets of cardinality to .
Let be the number of subsets of of cardinality , where .
.
Thus, , by binomial theorem.
∎
Definition 4.2.
A set is an independent set of if no two vertices of are adjacent in . The independence number of , denoted by , is the number of vertices in a maximum independent set of . is maximum if it has the maximum cardinality among all independent subsets of .
Definition 4.3.
A set is a dominating set [5] if for every vertex , there exists such that the edge . The domination number of , denoted by , is the minimum cardinality of a dominating set of .
Theorem 4.4.
For , the vertex independence number,
, for .
Proof.
By the construction of , forms a maximum independent set and
.
Therefore, .
∎
Corollary 4.5.
For , the vertex covering number, .
Proof.
As , we get . ∎
Theorem 4.6.
The domination number, , for all .
Proof.
In , no two vertices in are adjacent, and every vertex in it is adjacent to some other vertex in . Thus, forms a dominating set for .
, being the smallest dominating set,we get , for all .
∎
Theorem 4.7.
The size of is .
Proof.
Let be a -vertex in .
The number of -vertices in adjacent to is .
The number of -vertices in adjacent to is .
The number of -vertices in adjacent to is .
⋮
The number of -vertices in adjacent to is .
The number of -vertices in adjacent to is .
The number of -vertices in adjacent to is .
⋮
The number of -vertices in adjacent to is .
The degree of ,
Since every vertex in is of the same degree and is the maximum, we get, .
∎
Theorem 4.8.
The vertex connectivity of when is
Proof.
As every -vertex, in , is of degree , when a -vertex in adjacent to is removed, becomes isolated. Accordingly, we get . ∎
Theorem 4.9.
The edge connectivity of when is .
Proof.
Let be any -vertex in . Since , the graph becomes disconnected when the only edge adjacent to it is removed. Consequently, we get . ∎
Theorem 4.10.
The Girth of when is Girth(G)=4.
Proof.
Let be a -vertex in . Then, is adjacent to a -vertex in , and is adjacent to another -vertex in . The vertex is adjacent to an -vertex in and is adjacent to . Thus, there is a cycle of length . Since any cycle in a bipartite graph is of even length, eventually, we get Girth(G)=4.
∎
Theorem 4.11.
The circuit rank of is
.
Proof.
The circuit rank, which is also called the cyclomatic number of a graph, is , where n, m, and c are the order, size, and the number of connected components, respectively. As and n and m are already determined for , the result follows. ∎
Remark 4.12.
Cyclomatic number is related to a recently defined graph invariant called the Omega invariant, which allows some combinatorial and graph theoretical properties to be calculated. The Omega invariant is an additive number defined for a given degree sequence with
(4.1) |
It is shown that , and therefore it is always an even number. For further properties of the Omega invariant, see [3].
Theorem 4.13.
The degree of every vertex in and the number of vertices having a specific degree are determined. The degree sequence is obtained by arranging the sequence , of degrees with corresponding multiplicities as a monotonic non-increasing sequence.
Proof.
Let , where , denote the degrees of -vertices in , and denote the degree of any -vertex in . Let the multiplicities of degrees of any -vertex in , and -vertices in be denoted by and respectively.
We have, , , , , , , and .
Let be any -vertex in . For , the number of -vertices adjacent to is . The number of -vertices adjacent to is . For , the number of -vertices adjacent to is . Here, . Hence, the degree of any -vertex,which is denoted as , in is .
The number of -vertices in is . Every -vertex in has degree . Then, the number of -vertices in is . Thus, the degree of every vertex in and the number of vertices having a specific degree are determined. The degree sequence is obtained by arranging the sequence, , of degrees with corresponding multiplicities as a monotonic non-increasing sequence. ∎
Example 4.14.
The degree sequence for is obtained by arranging the sequence, of degrees with corresponding multiplicities as a monotonic, non-increasing sequence. That is, the degree sequence is .
The following result gives the Omega invariant of :
Theorem 4.15.
The Omega invariant of is
Proof.
By the definition of Omega invariant, we have
∎
In [3, 4], it was shown that the number of closed regions of a graph is given by
(4.2) |
Here is the number of components of . Hence the number of faces of the graph is given by the following result:
Theorem 4.16.
The number of faces of the graph is
Proof.
It follows by the formula of given in Eqn.(4.2). ∎
Theorem 4.17.
Consider the graph and , then
Proof.
Let and . If and are adjacent, then . Suppose that is not adjacent to . Since the degree of is at least , it must be adjacent to some vertex . Let be an -vertex in . As is a common neighbour of and , is the shortest path from to , and hence . Let . As any -vertex is a common neighbour of and , is the shortest path from to , and hence . Let . Then, in one of the following three cases.
- Case 1:
-
There exists such that is a superset of both and .
- Case 2:
-
There exists such that is a subset of both and .
- Case 3:
-
There exists such that is a subset of and a
super set of or is a subset of and a superset of .
In other words, if either or or . If none of these three conditions are satisfied, then . Choose such that and . Let be any -vertex in . Then is a common neighbour of and . Thus, we get the shortest path of length and hence . ∎
The following proposition and corollary are immediate consequences of the lemma.
Corollary 4.18.
If and , for the graph , the eccentricity is given by
Proof.
Let . For any , . If such that it is adjacent to , then . If is not adjacent to , then . Thus, . Let be an -vertex. Since is adjacent to all vertices in and for any , we get . Let be an -vertex, . The distance from to any vertex in is either or , and the distance from to any vertex in is either or .
∎
Corollary 4.19.
The diameter of is and radius is .
Proof.
.
. ∎
Corollary 4.20.
For ,
-
(1)
-
(2)
Center,
-
(3)
Median, M(G)= C(G).
Proof.
As the eccentricity of any -vertex , where is , we get, As the eccentricity of any -vertex is , we get, .
For finding the median(), we find the status of vertices in . We have the status of any vertex , . First, we find the status of any -vertex in . The sum of the distances from to vertices in is . The sum of the distance from to , -vertices, where in is . Therefore, status of is . There are vertices at distances and from vertices in . There are vertices at distances , and from -vertices in . This leads to the conclusion that the status of any -vertex is minimum compared to other vertices in . Thus, Median, =
∎
Remark 4.21.
Let with bipartition, . We denote the set of all pairs (unordered) of vertices of by . Then, contains vertex pairs at distances and . The subsets of are of the form . Then, . Let be the cardinality of for and . We denote by and , respectively, the sets of vertex pairs of and at distance . We have, . Let and , respectively, denote the cardinalities of and . Consequently, we get, . As vertex pairs at distance exists only in , we denote the set containing them as . We have, . Let be the cardinality of . Then, .
The cardinalities of and , the total number of vertex pairs at distance from denoted by , and the total number of vertex pairs at distances of and , where and are from , are determined in the next theorem
Theorem 4.22.
Consider the bipartite Kneser B type-k graph . For ,
-
(1)
.
-
(2)
.
-
(3)
.
-
(4)
.
Proof.
when and are adjacent. Thus, . when and are in . As there are -vertices in , . when and are not adjacent.
The total number of unordered pairs of vertices such that one vertex is from and the other from is . Thus,
Given that and are the counts of pairs at distances 2 and 4 respectively, it follows from theorem 4.17 that
.
∎
is computed in the following theorem. As any -vertex and -vertex in can have both positive and negative components, whenever we say common elements in an vertex and a -vertex, we mean .
Theorem 4.23.
Let be the number of unordered pairs of -vertices and -vertices of that are at distance .
For in , .
Here,
Here, and is a non-negative integer such that and
Proof.
Choose an -vertex and a -vertex in such that . Here .By the construction of , the vertices at distance satisfy the conditions: , , , and . Corresponding to an -element subset of , , -element subsets or -vertices are seen in . Similarly, corresponding to a -element subset of , , -vertices are there in . is calculated in various cases.
- Case 1:
-
For such that and and .
There are , -vertices at distance to . As there are vertices corresponding to , the total number of pairs between and and their corresponding vertices is . As , the remaining elements in any other -vertex at distance can be selected from elements of in ways. Also, elements can be selected from -vertex in ways. The total number of element subsets of is . Using the restrictions on , we get .
- Case 2:
-
For such that , and .
Of the , -vertices corresponding to in , are in and in . Therefore, .
- Case 3:
-
For such that , and .
Of the , -vertices corresponding to in , are in and in . Therefore, .
- case 4:
-
For such that .
Using similar arguments, we conclude that
- Case 5:
-
For such that and .
Here,
For , the total number of unordered pairs of vertices from such that is
∎
Remark 4.24.
Example 4.25.
Consider the partite sets and of as given in example 3.5.
Then, .
For , .
For , .
For , .
For , .
Therefore, .
.
Therefore,
.
114 | 485 | 90 | 91 | |
80 | 486 | 64 | 150 | |
550 | 5275 | 560 | 875 | |
440 | 4125 | 670 | 2025 | |
275 | 4715 | 305 | 1965 | |
2445 | 54050 | 2790 | 6781 |
5. Conclusion
In this paper, we have determined various invariants of . There is scope for applications in various disciplines. As the degree sequence of and the distance between any pair of vertices in are determined, hundreds of molecular descriptors can be calculated. Distance properties also lead to the determination of various types of metric dimensions. Centrality measures such as degree centrality, Closeness centrality, betweenness centrality and eigen vector centrality can also be obtained.
Conflict of Interest
The authors hereby declare that there is no potential conflict of interest.
Acknowledgement
The first author is a doctoral fellow in mathematics at University College, Thiruvananthapuram. This research has been promoted and supported by the University of Kerala.
References
- [1] Louis Anthony Agong, Carmen Amarra, John S Caughman, Ari J Herman, and Taiyo S Terada, On the girth and diameter of generalized johnson graphs, Discrete Mathematics 341 (2018), no. 1, 138–142.
- [2] Dean Crnković, Daniel R. Hawtin, Nina Mostarac, and Andrea Švob, Neighbour-transitive codes in kneser graphs, Journal of Combinatorial Theory, Series A 204 (2024), 105850.
- [3] Sadik Delen and Ismail Naci Cangul, A new graph invariant, Turkish Journal of Analysis and Number Theory 6 (2018), 30–33.
- [4] by same author, Extremal problems on components and loops in graphs, Acta Mathematica Sinica, English Series 35 (2019), no. 2, 161–171.
- [5] Teresa W. Haynes, Stephen T. Hedetniemi, and Michael A. Henning, Domination in graphs: Core concepts, Springer Monographs in Mathematics, pp. 1–644, Springer Science and Business Media Deutschland GmbH, Germany, 2023 (English), Publisher Copyright: © Springer Nature Switzerland AG 2023.
- [6] L. LOVASZ, Kneser’s conjecture, chromatic number, and homotopy, Journal of Combinatorial Theory, series A 25 25 (1978), 319 – 324.
- [7] S Morteza Mirafzal, The automorphism group of the bipartite kneser graph, Proceedings-Mathematical Sciences 129 (2019), no. 3, 1–8.
- [8] K.G Sreekumar, P Ramesh Kumar, and K Manilal, Automorphism groups of bipartite kneser type-k graphs, Asian-European Journal of Mathematics (2022), 2350047.
- [9] K.G Sreekumar, G Suresh Singh, and C. S. Preenu, Elliptic curves obtained from bipartite kneser B type-k graphs, TWMS J. App. and Eng. Math. Special Issue -1(2023) (2023), no. 01, 102–111.
- [10] Dmitriy Zakharov, Chromatic numbers of kneser-type graphs, Journal of Combinatorial Theory, Series A 172 (2020), 105188.