Maximum Frustration in Signed Generalized Petersen Graphs
Deepak Sehrawat, Bikash Bhattacharjya

TL;DR
This paper investigates the maximum frustration index in signed generalized Petersen graphs, establishing upper bounds for different cases of the graph parameters and demonstrating when these bounds are tight.
Contribution
It provides new bounds on the maximum frustration index in signed generalized Petersen graphs, extending understanding of their structural properties.
Findings
Maximum frustration of $P_{n,k}$ with $ ext{gcd}(n,k)=1$ is at most $loor{rac{n}{2}} + 1$.
The bound is tight for $k=1,2,3$.
For $ ext{gcd}(n,k)=d extgreater 1$, the maximum frustration is bounded by $dloor{rac{n}{2d}} + d + 1$.
Abstract
A \textit{signed graph} is a simple graph whose edges are labelled with positive or negative signs. A cycle is \textit{positive} if the product of its edge signs is positive. A signed graph is \textit{balanced} if every cycle in the graph is positive. The \textit{frustration index} of a signed graph is the minimum number of edges whose deletion makes the graph balanced. The \textit{maximum frustration} of a graph is the maximum frustration index over all sign labellings. In this paper, first, we prove that the maximum frustration of generalized Petersen graphs is bounded above by for , and this bound is achieved for . Second, we prove that the maximum frustration of is bounded above by , where .
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Taxonomy
TopicsGraph Labeling and Dimension Problems · Advanced Graph Theory Research · graph theory and CDMA systems
Maximum Frustration in Signed Generalized Petersen Graphs
Deepak Sehrawat
Department of Mathematics
Indian Institute of Technology Guwahati
Guwahati, India - 781039
Email: [email protected]
Bikash Bhattacharjya
Department of Mathematics
Indian Institute of Technology Guwahati
Guwahati, India - 781039
Email: [email protected]
Abstract. A signed graph is a simple graph whose edges are labelled with positive or negative signs. A cycle is positive if the product of its edge signs is positive. A signed graph is balanced if every cycle in the graph is positive. The frustration index of a signed graph is the minimum number of edges whose deletion makes the graph balanced. The maximum frustration of a graph is the maximum frustration index over all sign labellings. In this paper, first, we prove that the maximum frustration of generalized Petersen graphs is bounded above by for , and this bound is achieved for . Second, we prove that the maximum frustration of is bounded above by , where .
Keywords: balance, switching, frustration index, frustration number, maximum frustration, generalized Petersen graph.
1 Introduction
In [7], Harary introduced the notion of signed graphs and balance. A cycle in a signed graph is called positive if the product of the signs of its edges is positive. A signed graph is balanced if all its cycles are positive. Harary also gave a necessary and sufficient condition for a signed graph to be balanced. Two years after Harary’s paper, Catwright and Harary [6] used signed graphs and balance to model social stress in groups of people in social psychology.
A signed graph is unbalanced if it is not balanced, i.e., it has at least one cycle which is not positive. An unbalanced signed graph can be made balanced by deleting edges. The smallest number of edges whose deletion leaves the graph balanced is called the frustration index. This number is implicated in certain questions of social psychology [1] and spin-glass physics [11].
Finding frustration index is an NP-complete problem [2]. In [13], the author determined the frustration indices of all signed Petersen graphs. In [9], the author determined the frustration indices of all signed Heawood graphs. And in [5], Bowlin gave the upper bound for the maximum frustration of complete bipartite graph. Many other classes of graphs are treated in [10].
In [9], Sivaraman proved that the frustration index of any signed graph , whose underlying graph is cubic, simple and triangle-free, is bounded above by , where denotes the number of vertices of . In this paper, we find an upper bound for the maximum frustration of generalized Petersen graphs.
This paper is organised as follows. In the next section we describe some basic definitions and existing results about the frustration index. In Section 3, we prove that the maximum frustration of generalised Petersen graphs , where , is bounded above by , and that this bound is tight when . In Section 4, we show that the maximum frustration of , where , is bounded above by . Finally, we list some problems in the last section for future work.
Throughout this paper we consider only simple and finite graphs. For the graph theoretic terms that are used but not defined in this paper, see [4]. For detailed study of signed graphs, we refer the reader to [12]. In all the figures of this paper, solid lines represent positive edges and dotted lines represent negative edges.
2 Preliminaries
Let be a simple graph. Further, by and we denote the cardinality of the vertex set and the edge set of , respectively. A signed graph is a graph whose edges are labelled with positive or negative signs. We write to denote a signed graph, where is called the underlying graph of and denotes the set of negative edges. The set is called the signature. The number of edges in a signature is called the size of the signature and denoted by . If the edges of are all positive, that is , then the signed graph is called the all positive signed graph.
A switching of a vertex of a signed graph is to change the sign of each edge incident to the vertex. If we switch each vertex of a subset of , then we write the resulting signed graph as . We say is switching equivalent or simply equivalent to , denoted , if both have same underlying graph and for some . Let be the signatures of , respectively, then we also say that is switching equivalent to , denoted , to mean that is switching equivalent to . Note that switching defines an equivalence relation on the set of all signed graphs over (also on the set of signatures). Each equivalence class of this equivalence relation is denoted by , where is any member of the class. In short, we write to denote the class of all signatures equivalent to the signature .
The sign of a cycle in a signed graph is the product of its edge signs. A signed graph is balanced if each of its cycles is positive. The following theorem states that the set of negative cycles uniquely determines the equivalence class to which a signed graph belongs.
Theorem 2.1**.**
[12*]**
Two signed graphs and are switching equivalent if and only if they have the same set of negative cycles.*
Now we define the frustration index and the frustration number of a signed graph. These parameters are invariants under switching because they depend only on cycle signs, which are not changed by switching.
Definition 1**.**
The frustration index of a signed graph , denoted , is the smallest number of edges whose deletion leaves a balanced signed graph.
Implicit in [3], frustration index is switching invariant. But in the following lemma, we give a simple and different proof of this fact.
Lemma 2.1**.**
The frustration index of a signed graph is invariant under switching.
Proof.
Let be a signed graph. Suppose is a balanced signed graph, where . Since switching does not change the sign of a cycle, if we switch to and then delete , there will still not be any negative cycles. Therefore is balanced. Thus deletion of an edge set that makes one of the graphs in balanced, also make the other graphs of balanced. This completes the proof. ∎
If is balanced then clearly . Also it is easy to see that
[TABLE]
The maximum frustration of a graph is the maximum frustration index over all possible signatures. That is,
[TABLE]
Definition 2**.**
The frustration number of a signed graph , denoted , is the smallest number of vertices whose deletion leaves a balanced signed graph.
Lemma 2.2**.**
[13]** Switching does not change the frustration number of a signed graph. Moreover, for every signature of a graph .
From here onwards, in view of Lemma 2.1 and Lemma 2.2, we denote the signed graph by as we study only the frustration index and the frustration number of signed graphs in this paper. In [9], the author proved that the frustration index and the frustration number are same for signed cubic graphs.
Theorem 2.2**.**
[9]** Let be a signed cubic graph. Then .
Let be a signed graph. A signature is said to be minimum if the number of edges in is minimum among all signatures in . Note that a minimum signature need not be unique. This fact can be verified by looking at a negative cycle. A signed graph with a minimum signature is said to be a reduced signed graph. Further, the edges of a minimum signature of cubic graph has a special structure. More precisely, we have the following lemma.
Lemma 2.3**.**
[13]** The edges of any minimum signature of a cubic graph form a matching.
It is important to note that the frustration index is equal to the size of a minimum signature for every signed graph. The following result, that easily follows from Lemma 2.3, says that the frustration index of a signed cubic graph is at most .
Theorem 2.3**.**
Let be a signed cubic graph. Then .
The bound obtained in Theorem 2.3 has an improvement for the cubic, triangle-free graphs.
Theorem 2.4**.**
[9]** Let be a signed graph whose underlying graph is simple, cubic and triangle-free. Then .
Definition 3**.**
Let and be positive integers such that . Then the generalised Petersen graph is defined to have the vertex set and edge set where and the subscripts are read modulo .
For instance a signed generalised Petersen graph with a minimum signature of size four is shown in Figure 1. The fact that the signature of Figure 1 is minimum is proved in Lemma 3.2.
We call the vertices to be u-vertices and the vertices to be v-vertices. From the definition, it is clear that is a cubic graph and is the well-known Petersen graph. The edges for are called the spokes and the set of spokes is denoted by . The cycle induced by is called the outer cycle of and is denoted by . The cycle(s) induced by is(are) called the inner cycle(s) of . If then the subgraph induced by consists of pairwise disjoint -cycles. If then no two vertices among can be in the same -cycle.
3 Upper Bound of for
Definition 4**.**
For , the graph is defined to have the vertex set , and edge set where the subscripts are read modulo .
For instance, the graph is shown in Figure 2. From the definition, it is clear that the graph is a sub-cubic graph, i.e., each vertex of has degree at most three. Note that is isomorphic to a subgraph of and that subgraph can be obtained by deleting all the edges of the inner cycle(s) of . Let denote the cycle of .
By Lemma 2.3, it is clear that the edges of any minimum signature of form a matching. Therefore a minimum signature of is either an empty signature or a signature of size one, since the cycle can be either positive or negative, and any negative edge incident to a vertex can be made positive by switching that vertex. This implies that .
We say is balanced or unbalanced according as the cycle is positive or negative, respectively. Further, if we do not allow switching operation by then the following lemma gives an upper bound on the size of a minimum signature of .
Lemma 3.1**.**
Let be a signed graph and let switching operation be not allowed by . Then the maximum size of a minimum signature is either or according as is positive or negative in , respectively.
Proof.
Let be a signed graph. Also let be a minimum signature, switching equivalent to , such that edges of form a matching in . The existence of such is assured by Lemma 2.3.
If the cycle is positive in then by switching , if needed, we can make all the edges of positive. Now the negative edges in the resulting signed graph are of the form only. Therefore it is obvious that the maximum number of edges in a minimum signature is . Hence .
If the cycle is negative in then by switching operation, if needed, we can make any pre-chosen edge of negative and rest of the edges positive. Let that negative edge of be . Let be a minimum signature of the resulting signed graph. Note that the edges of form a matching in which one edge is and other edges of are some . Now take , then it is obvious that . Further note that , where and . To complete the proof, we need to show that .
Suppose on the contrary that . Therefore we have
[TABLE]
Since and so by switching each vertex of the set , we get a signature such that and . This implies that
[TABLE]
Thus we have a signature such that and . This is a contradiction to the fact that is minimum and . Thus , and this completes the proof. ∎
Now we find an upper bound for the maximum frustration of in terms of , where .
Theorem 3.1**.**
Let . Then
Proof.
Let be a signed generalised Petersen graph, where . Note that has only one inner cycle of length since . By and we denote the outer cycle and the inner cycle of , i.e., and , respectively.
Let be the subgraph of such that and . Also let be the subgraph of such that and . Note that the graphs and are both isomorphic to . We prove the theorem by considering the following cases.
Case 1. Assume that both the cycles and are positive in . By switching and , if needed, we can make all the edges of both and positive. Thus all the edges of the resulting signature are spokes only. Therefore we have , since out of spokes at most spokes can be negative (up to switching).
Case 2. Assume that the cycle is positive and is negative in . Without loss of generality, assume that all the edges of are positive. Next, if some vertex is incident to more than one negative edge then we switch that vertex to reduce the number of negative edges. We keep doing this operation until every vertex is incident to at most one negative edge. Now let denote the resulting signed graph, where is switching equivalent to . The edges of form a matching and . Note that to reduce the signature we do not need to switch any vertex . Since is isomorphic to and we do not switch any , so by Lemma 3.1, the maximum number of negative edges in a minimum signature, equivalent to , is . This implies that .
Similarly, if the cycle is positive and is negative in then also .
Case 3. Assume that both the cycles and are negative in . By switching some , if needed, we make the edge negative and rest of the edges of positive. Next, we switch some , if needed, such that only one edge of is negative and remaining edges are positive. Let that negative edge of be , for some .
We will complete the proof by showing that the number of negative edges in a minimum signature containing the edges and can be at most .
Further, let be a minimum signature, equivalent to , such that edges of form a matching and except the edges and , its all other edges are some spokes only. Take so that . Note that the edges of are some spokes only. To complete the proof, it is enough to show that the . To do so we consider two sub-cases.
(a) Let neither nor be equal to and . Note that , where is a subset of . More precisely, so that . Suppose on the contrary that , and so .
By switching each vertex of the set , we get an equivalent signature , where . Therefore we have
[TABLE]
But this is a contradiction because is minimum and . Therefore , and this implies that .
(b) Let one of the end points of the edge be either or . Let , then the spoke cannot be included in because is a minimum signature. Otherwise, if then switching each vertex of the set will give us an equivalent signature of size one less than the size of , and this is a contradiction as is minimum.
b(i) Let , then , where and . Let us suppose on the contrary that so that .
By switching each vertex of the set , we get an equivalent signature , where . Therefore we have
[TABLE]
b(ii) If then , where and . Let us suppose on the contrary that so that .
By switching each vertex of the set , we get an equivalent signature such that . Therefore we have
[TABLE]
In both b(i) and b(ii), we get a contradiction because is minimum and . Hence and this implies that .
Similarly, if or or then also it can be shown that . Hence from all these cases, we conclude that the number of negative edges in a minimum signature, equivalent to , is at most . Since is an arbitrary signature, we have
[TABLE]
This completes the proof. ∎
Remark. It is interesting to note that has a special structure when . The graph is the prism. Therefore can be drawn as a ring of quadrangles. For example is the heptagonal prism and it has been drawn as a ring of seven quadrangles in Figure 1.
In the following lemma we show that there exist a signed whose frustration index is .
Lemma 3.2**.**
There exists a signature such that .
Proof.
Let and consider a signed generalised Petersen graph , where . Note that . It is clear that the graph has quadrangles. With one negative edge, it can be made at most two quadrangles negative and therefore with or less than negative edges it can be made at most quadrangles negative. But the edges of makes all quadrangles negative. Therefore signature is a minimum signature. Hence . For example, see Figure 1.
Let and consider a signed generalised Petersen graph , where . Note that , and we want to prove that is minimum. The graph has quadrangles. Further, makes the outer cycle, the inner cycle and all the quadrangles of negative. Let be a signature equivalent to . Assume that contains edges from the outer cycle, edges from the inner cycle and spokes, and that . Since the outer and the inner cycles are negative, and must be odd and so .
Now the negative edges of the outer cycle can make quadrangles negative. The negative edges of the inner cycle can make quadrangles negative. Further, the negative spokes can make at most quadrangles negative. Thus the number of negative quadrangles in is at most , and . However, as , all the quadrangles must remain negative in . Therefore any signature equivalent to must have at least edges. Hence . This completes the proof. ∎
From Theorem 3.1 and Lemma 3.2, we find the exact value of .
Theorem 3.2**.**
Let . Then
In the following lemma, we show that there exists a signature such that , where .
Lemma 3.3**.**
For , there exists is a signature such that .
Proof.
For , the graph is the Petersen graph. In [13], the author proved that there is a signed Petersen graph of frustration index three. Therefore the result is true for .
Now let be odd. Consider the signed generalised Petersen graph , where . It is clear that . Further, have exactly cycles of length five. Note that with one negative edge, at most two 5-cycles can be made negative and therefore with or less than edges, at most 5-cycles can be made negative. But makes all the 5-cycles negative. Thus is minimum. Hence .
Let be even. Consider the signed generalised Petersen graph , where . It is clear that , and makes all the 5-cycles negative. By similar argument as above paragraph, it can be shown that is minimum. Hence . This completes the proof. ∎
From Theorem 3.1 and Lemma 3.3, we find the exact value of , as given in Theorem 3.3.
Theorem 3.3**.**
Let . Then
In the next lemma, we show that , where .
Lemma 3.4**.**
Let and . Then there exists is a signature such that .
Proof.
Consider the signed generalized Petersen graph , where the signature is . Clearly . Note that has exactly cycles of length six. Further, with or less than negative edges at most cycles of length six can be made negative. But makes all the 6-cycles negative. Therefore signature is minimum. This implies that and the proof is complete. ∎
In the following theorem, that follows from Theorem 3.1 and Lemma 3.4, we see that the exact value of is , where .
Theorem 3.4**.**
Let be such that . Then
4 Upper Bound of for
In this section, we get an upper bound for the maximum frustration index of , where . Since , so has pairwise disjoint inner cycles of length . Let us denote these cycles by , where for .
For , let be a subgraph of which is defined as follows. The vertex set of is given by and the edge set of is given by the union of along with the set of all spokes incident to the vertices of . We say is balanced or unbalanced according as is positive or negative, respectively.
It is important to note that the graph is isomorphic to with , where is given in Definition 4. Let be a signed graph and we do not switch of . Then by Lemma 3.1, the maximum number of negative edges in a minimum signature is either or according as is unbalanced or balanced, respectively. Now we proceed to determine an upper bound for the maximum frustration of in terms of and , where .
Theorem 4.1**.**
Let . Then
Proof.
Let be a signed generalised Petersen graph. Let be a minimum signature, equivalent to . We consider the following cases to show that .
Case 1. For each , let be positive in . Without loss of generality, we assume all the edges of to be positive for . It is clear that all the edges of lie inside the subgraph of . To reduce the signature further, we do not need to switch any and therefore from Lemma 3.1, the maximum number of negative edges in a minimum signature , switching equivalent to , is . Thus .
Case 2. Let the cycle be positive and let number of be negative in , where . Without loss of generality, we assume all the edges of to be positive. So all the edges of lie in the union of . To reduce , we do not need to switch any , so by Lemma 3.1, unbalanced can add at most edges in and balanced can add at most edges in . Thus we have , as . Hence .
Case 3. Let the cycle be negative and let number of be negative in , where . Without loss of generality, we assume that exactly one edge of is negative in , and let that negative edge be . Thus all the edges of , except , lie in the union of . So by Lemma 3.1, it is easy to see that , as .
From these three cases, we conclude that This completes the proof. ∎
We note that if the inner cycles of a generalised Petersen graph are triangles then the bound obtained in Theorem 4.1 can be improved. To see this fact, let be a generalised Petersen graph, where . It is obvious that the inner cycles of are triangles and there are such pairwise disjoint triangles induced by . The subgraph of is shown in Figure 3.
For , let be a signed graph and assume that switching by is not allowed. Then by Lemma 3.1, the maximum number of negative edges in a minimum signature, switching equivalent to , is either two or one according as is unbalanced or balanced, respectively. Further, if is unbalanced and a minimum equivalent signature has two edges then the edges of can be chosen to be and . We call the edge a primary edge and the edge a secondary edge of . Therefore the secondary edge of any minimum signature of unbalanced must belongs to the set , where .
Let be a signed graph and be a minimum signature equivalent to . We have the following observations.
Observation 1. For some , if is positive in then the corresponding contributes at most one edge in . This holds true because of Lemma 3.1.
Observation 2. For , let number of be unbalanced in , each of which contributes primary as well as secondary edge in . Recall that the secondary edge of an unbalanced must belongs to the set , where . If then such contribute at most negative edges to . If then by switching each vertex of the set we will have at most negative edges instead of having secondary edges. This ultimately implies that unbalanced can contribute at most negative edges to a minimum signature.
Theorem 4.2**.**
For , .
Proof.
Let be a signed graph and be a minimum signature, equivalent to . To prove the theorem it is enough to show that . We consider the following cases.
Case 1. For each , let be positive in . Without loss of generality, assume that all the edges of inner triangles are positive. Therefore all the edges of lie inside the graph . By Lemma 3.1, the maximum number of negative edges in a minimum signature is . Hence .
Case 2. Let be positive and let number of be negative in , where . Without loss of generality, assume that all the edges of are positive. If some vertex is incident to more than one negative edge, then we switch that vertex and we keep doing this operation until we get a minimum signature .
Since switching does not change the signs of cycles, we have unbalanced and balanced in . Therefore the maximum number of negative edges in is , where first summand occurs due to observation 2 and second summand occurs due to observation 1. This implies that .
Case 3. Let be negative and let number of be negative in , where . Without loss of generality, assume that exactly one of the edges of is negative. By similar argument as in Case 2, it can be easily shown that .
In all possible cases, we observe that the maximum number of edges in a minimum signature, equivalent to , is . Since is arbitrary, we have This completes the proof. ∎
5 Conclusion
Among the few questions raised by this research, the followings are of particular interest to the authors.
-
For , we obtained the exact value of where . What is the exact value of in other cases where ?
-
In Theorem 4.1, we obtained . One can try to improve this bound to .
From Theorem 2.3, we have , where is any signed cubic graph. Can this bound be improved? In [9], the author give a family of signed cubic graphs to show that without any additional restrictions on the underlying graph, the bound cannot be improved. For example, consider the disjoint union of copies of with two disjoint negative edges in each . But if we restrict to connected graphs then the following natural questions can be asked:
-
Which cubic connected signed graphs attain the bound ?
-
Which cubic signed bipartite graphs attain the bound ?
-
Which cubic planar connected signed graphs attain the bound ?
Acknowledgment. We wholeheartedly thank Professor Thomas Zaslavsky for suggesting possible research directions and several comments to improve the presentation of this manuscript.
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