Problems on Matchings and Independent Sets of a Graph
Amitava Bhattacharya, Anupam Mondal, T. Srinivasa Murthy

TL;DR
This paper investigates the properties of critical and minimal independent sets in graphs, proves a conjecture relating minimal sets to the critical difference, and explores structural characterizations of certain graph classes.
Contribution
It proves a conjecture by Levit and Mandrescu on minimal sets with positive difference and provides new insights into the structure of unicyclic non-K"onig-Egerváry graphs.
Findings
Confirmed the conjecture that minimal sets with positive difference are at least the critical difference in number.
Provided a short proof of the inequality relating ker(G), diadem(G), and independence number.
Characterized unicyclic non-K"onig-Egerváry graphs and proved a conjecture about their critical difference.
Abstract
Let be a finite simple graph. For , the difference of , where is the neighborhood of and is called the critical difference of . is called a critical set if equals the critical difference and ker is the intersection of all critical sets. It is known that ker is an independent (vertex) set of . diadem is the union of all critical independent sets. An independent set is an inclusion minimal set with if no proper subset of has positive difference. A graph is called K\"onig-Egerv\'ary if the sum of its independence number () and matching number () equals . It is known that bipartite graphs are K\"onig-Egerv\'ary. In this paper, we study independent sets with positive difference for which every proper subset has a…
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Problems on Matchings and Independent Sets of a Graph
Amitava Bhattacharya, Anupam Mondal
School of Mathematics
Tata Institute of Fundamental Research
Mumbai, India
{amitava, anupamm} @ math.tifr.res.in
T. Srinivasa Murthy
Department of Computer Science and Automation
Indian Institute of Science
Bangalore, India
srinivasat @ iisc.ac.in
Abstract
Let be a finite simple graph. For , the difference of , where is the neighborhood of and is called the critical difference of . is called a critical set if equals the critical difference and is the intersection of all critical sets. It is known that is an independent (vertex) set of . is the union of all critical independent sets. An independent set is an inclusion minimal set with if no proper subset of has positive difference.
A graph is called König-Egerváry if the sum of its independence number () and matching number () equals the order of . It is known that bipartite graphs are König-Egerváry.
In this paper, we study independent sets with positive difference for which every proper subset has a smaller difference and prove a result conjectured by Levit and Mandrescu in 2013. The conjecture states that for any graph, the number of inclusion minimal sets with is at least the critical difference of the graph. We also give a short proof of the inequality (proved by Short in 2016).
A characterization of unicyclic non-König-Egerváry graphs is also presented and a conjecture which states that for such a graph , the critical difference equals , is proved.
We also make an observation about using Edmonds-Gallai Structure Theorem as a concluding remark.
**Mathematics Subject Classifications: ** 05C69, 05C70, 05A20
1 Introduction
In this paper is a finite simple graph with the vertex set and the edge set . For , neighborhood of , denoted by , is the set of all vertices adjacent to some vertex in . When there is no confusion the subscript may be dropped. The degree of a vertex is the number of edges incident to and is denoted by . If , then is the graph with the vertex set and whose edges are precisely the edges of with both ends in . A set of vertices is independent if no two vertices from are adjacent. The cardinality of a largest independent set (maximum independent set) is denoted by . The reader may refer to any of the standard text books [2, 11] for basic notations.
This paper is based on the results in [3, 4, 5, 6, 7, 8, 9, 10, 12, 14]. We state the following definitions which will help us to formulate the results proved in this paper.
Let , and [5].
For , the number is called the difference of the set and is denoted by . Again we drop the subscript in case of no ambiguity. The number is called the critical difference of and is denoted by . A set is critical if [14] and is the intersection of all critical sets [7]. Diadem of a graph is defined as the union of all critical independent sets and it is denoted by [3]. One may observe that [7] and thus . An independent set is an inclusion minimal set with if no proper subset of has positive difference [8].
A matching in a graph is a set of edges such that no two edges in share a common vertex. Size of a largest possible matching (maximum matching) is denoted by . A vertex is matched (or saturated) by if it is an endpoint of one of the edges in . A perfect matching is a matching which matches all vertices of the graph. For two disjoint subsets and of we say there is a matching from into if there is a matching such that any edge in joins a vertex in and a vertex in and all the vertices in are matched by .
A graph is a König-Egerváry (KE) graph if [1, 13]. König-Egerváry graphs have been well studied. Levit and Mandrescu studied the critical difference, , , of graphs, properties of König-Egerváry graphs and proved several results. Based on these results several natural conjectures and problems arose. The ones considered in this paper are stated below.
Conjecture 1.1**.**
[8*]**
For any graph , the number of inclusion minimal independent set such that is at least .*
Theorem 1.2**.**
For any graph , . 111Conjectured in [3] and proved in [12].
Conjecture 1.3**.**
For a unicyclic non-KE graph , . 222Stated by Levit in a talk at Tata Institute of Fundamental Research in 2014.
Problem 1.4**.**
Characterize graphs such that is critical.*
Problem 1.5**.**
Characterize graphs with .*
In Section 2, Conjecture 1.1 and related results are proved. In Section 3 a new short proof of Theorem 1.2 is given. A characterization of unicyclic non-König-Egerváry graph is presented in Section 4 and as a corollary Conjecture 1.3 is deduced. In the concluding section Edmonds-Gallai structure Theorem is used to make an observation regarding . It may be useful for Problems 1.4 and 1.5.
2 On Minimum Number of Inclusion Minimal Sets with Positive Difference
In this section we study with such that for all , and give a proof of Conjecture 1.1. There are several results that led to the formulation of this conjecture. Some of them are listed below as they help to understand the proof or they are used in the proof of the conjecture.
Theorem 2.1**.**
[4]** There is a matching from into for every critical independent set .
Theorem 2.2**.**
[7]** For every graph , the following assertions are true:
- (i)
* is the unique minimal critical independent set of .* 2. (ii)
.
Theorem 2.3**.**
[7*]**
For a graph , the following assertions are true:*
- (i)
The function is supermodular, i.e., for every . 2. (ii)
If and are critical in , then and are critical as well.
Theorem 2.4**.**
[9*]**
If is a bipartite graph, then .*
Theorem 2.5**.**
[8*]**
For a vertex in a graph , the following assertions hold:*
- (i)
* if and only if ;* 2. (ii)
if , then .
Theorem 2.6**.**
[8*]**
If , then
is an inclusion minimal independent set with *
For an independent set of a new graph is defined as follows. The vertex set , where and are two new vertices not in and the edge set . Note that if is a connected graph with , then is a connected bipartite graph. Figure 1 gives an illustration of the construction. Also observe that for all , .
Theorem 2.7**.**
If is an independent set of with such that for all , , then .
Proof.
Note that the only maximal independent set that contains is and its size is . Also if a maximal independent set does not contain , then it contains . Now we show that size of a largest independent set that contains is also .
Let be a largest independent set where and .
[TABLE]
Thus . Hence and are the only two largest independent sets of . Thus . Since is bipartite, Theorem 2.4 implies . ∎
Corollary 2.8**.**
If is an independent set of with and for all , , then can be expressed as a union of inclusion minimal independent sets with positive difference.
Proof.
By Theorem 2.6, is the union of all inclusion minimal independent sets of with positive difference. As inclusion minimal independent sets of with positive difference are contained in , they are inclusion minimal independent sets of with positive difference. Hence the result follows. ∎
Corollary 2.9**.**
If is an independent set of with such that for all , , then .
Proof.
From Corollary 2.8 it follows that is contained in the union of inclusion minimal independent sets of with positive difference. From Theorem 2.6 it follows that is contained in . ∎
Note 2.10**.**
A set with such that no proper subset of has positive difference must be an independent set. If not, we have . Let . Since , we have . Thus
[TABLE]
a contradiction. Thus we may drop the word “independent” from the phrase “ is an inclusion minimal independent set with ”.
Corollary 2.11**.**
If is an inclusion minimal set of a graph with , then .
Proof.
This result was first shown in [8]. From Note 2.10 it follows that is an independent set. Since is an independent set with and no proper subset of has positive difference, from Theorem 2.7 we have . Hence by Theorem 2.5(i), for all ,
[TABLE]
Thus for all , . As is an inclusion minimal set with , we have , which implies . Hence . ∎
Corollary 2.8 can be made stronger and it can also be proved directly.
Theorem 2.12**.**
Let with . If for all , , then can be expressed as a union of distinct inclusion minimal sets with positive difference.
Proof.
We note that if then
[TABLE]
We note that if , then contains an inclusion minimal set with . As the poset is nonempty and finite, it admits a minimal element which can be chosen as .
Since , contains an inclusion minimal set with positive difference. Choose an inclusion minimal set with positive difference and a vertex . Suppose , where have been selected. As , contains an inclusion minimal set with positive difference. Choose an inclusion minimal set with positive difference and a vertex . This process is continued till the pairs are obtained. Note that for integers and with , we have . Also from Corollary 2.11 it follows that for , .
Next we show that by repeated application of supermodularity of (Theorem 2.3).
By supermodularity of , for ,
[TABLE]
Now implies . Since is inclusion minimal with and , we have . Also . Thus equation (2) for implies .
In general, for , . Hence , implying . Therefore, if , then equation (2) implies . In particular . This leads to a contradiction if . Thus . ∎
Corollary 2.13**.**
The number of inclusion minimal independent sets of with positive difference is greater than or equal to .
Proof.
As is the unique minimal critical independent set of , setting in Theorem 2.12 this corollary and Conjecture 1.1 is proved. ∎
Converse of Corollary 2.8 also holds true.
Theorem 2.14**.**
If can be expressed as a union of inclusion minimal sets with positive difference, then
- (i)
; 2. (ii)
* ;* 3. (iii)
for all , .
Proof.
Let where is an inclusion minimal set with for all . Since is contained in the union of inclusion minimal sets with positive difference, and thus . This proves (i).
First note that if , then . In this case (ii) and (iii) hold, so assume . If , then at least one of the sets is not contained in , say . Observe that for any and , we have . This implies for all . Now by supermodularity of , for ,
[TABLE]
By repeated application of equation (2), we get
[TABLE]
Setting in equation (3), we get This proves (ii).
Setting in equation (3), we get
[TABLE]
By supermodularity of ,
[TABLE]
As , we have and thus . Hence from equation (4) and equation (5) we get
[TABLE]
This proves (iii). ∎
We state one more result on criticality of independent sets which will be used is Section 4. This is a converse of Theorem 2.1.
Theorem 2.15**.**
Let be an independent set of a graph containing . If there is a matching from into , then is critical.
Proof.
Let and . Since there is a matching from into and there are no edges from to , Hall’s Marriage Theorem [2, 11] implies that
[TABLE]
Thus
[TABLE]
Hence . ∎
Corollary 2.16**.**
* is critical if and only if there is a matching from into .*
Proof.
Follows from Theorem 2.1, Theorem 2.2 and Theorem 2.15. ∎
3 A Ker-Diadem Inequality
It was conjectured in [3] that the sum of sizes of and of a graph is at most twice the independence number of the graph. Short proved this inequality in [12] using structural results by Larson in [4]. Here a short and direct proof for this “- inequality” is presented.
Lemma 3.1**.**
If and are two critical independent sets of a graph then .
Proof.
Let . As , and hence . Using Hall’s Marriage Theorem it can be verified that if is a critical independent set then there is a matching from into (Theorem 2.1). As , Hall’s Marriage Theorem implies , i.e., . By a similar argument, we have . ∎
Theorem 3.2**.**
If is a maximal critical independent set of a graph then .
Proof.
First we show that . Toward a contradiction suppose . As , there exists a critical independent set containing . Let . Observe that is an independent set and . This implies (in fact equality holds). Hence
[TABLE]
By supermodularity of and criticality of and , it follows that is also critical (Theorem 2.3). Thus and this contradicts that is a maximal critical independent set. This shows that .
Now for any critical independent set , . Thus taking union over all such , we get . Hence . ∎
Corollary 3.3**.**
For every graph , .
Proof.
Let be a maximal critical independent set of . By Theorem 3.2, . Therefore,
[TABLE]
∎
4 Characterization of Unicyclic non-KE Graphs
For any graph , and for bipartite graphs equality holds [1, 13]. It turned out that many interesting properties can be proved for a graph which satisfy . This motivated the study of graphs for which this equality holds. A graph is called König-Egerváry (KE) if . KE graphs have been studied extensively [3]. This motivated researchers to consider graphs that are “close” to KE graphs. One of these classes is unicyclic graphs. For any unicyclic graph , .
In this section we characterize the unicyclic non-KE graphs and prove some properties. These properties also lead to a proof of the Conjecture 1.3.
We present a procedure to construct any connected non-KE graph .
Procedure 4.1**.**
A connected graph is constructed by the following Steps.
Construct an odd cycle, color its vertices blue. 2. 2.
Go to Step (3) or Step (4) or stop. 3. 3.
Attach a path of length two to any vertex: Choose a vertex and then add two new vertices , and two edges , . Color red and black. Go to Step (2). 4. 4.
Attach a black leaf to a red vertex: If there is no vertex colored red, go to Step (2). Else choose a red vertex and add a new vertex and an edge . Color black and go to Step (2).
Let be a graph constructed by Procedure 4.1. Henceforth the unique cycle in will be denoted by . is a forest. Consider the components of this forest as rooted trees with the root being the blue vertex of . The notions of parent, child, descendant etc. are used with respect to these rooted trees. Note that leaves are always colored black. See Figure 2 for an example of such graph.
Lemma 4.2**.**
If a graph constructed by Procedure 4.1 is unicyclic non-KE, then the graph obtained from after applying Step 3 once is also unicyclic non-KE.
Proof.
We may add the new edge to any matching in and the vertex to any independent set of to get a new matching in and an independent set of . This implies
Since the added two extra vertices are adjacent, . Also the two added edges have a vertex in common. Thus . This yields . Therefore, . ∎
Theorem 4.3**.**
There exists a largest independent set that contains all the black vertices of a graph constructed by Procedure 4.1.
Proof.
Note that black vertices are added one at a time in Step (3) or Step (4) of Procedure 4.1. We use induction on the number of black vertices to prove this theorem.
Base Case: If there are no black vertices the result is trivially true.
Induction Hypothesis: There exists a largest independent set that contains all the black vertices when the number of black vertices is .
Induction Step: Number of black vertices is . Look at the most recently added black vertex in by Step (3) or Step (4). Call it and its parent (which is a red vertex) .
Case 1: is added by Step (3).
The graph can be constructed by Procedure 4.1 and the number of black vertices in is . By induction hypothesis, there exists a largest independent set of containing all the black vertices. Note that is a largest independent set of and it contains all the black vertices of .
Case 2: is added by Step (4).
The graph can be constructed by Procedure 4.1 and the number of black vertices in is . By induction hypothesis, there exists a largest independent set of containing all the black vertices. The vertex , which is the parent , has at least one black child other than . This implies . Hence is a largest independent of and it contains all the black vertices of . ∎
Theorem 4.4**.**
Every largest matching in a graph constructed by Procedure 4.1 covers all the red vertices.
Proof.
We prove this by induction on the number of red vertices.
Base Case: Result is true when the number of red vertices is zero.
Induction Hypothesis: Every largest matching covers all the red vertices when the number of red vertices is .
Induction Step: Number of red vertices is .
Let the most recently added red vertex be . The only descendants of are black leaves, , where . Let be a largest matching in . It may be verified that can be obtained by Procedure 4.1 (it can be realized as a subsequence of steps that produced ) and the number of red vertices in is .
Let . Observe that . Now is a largest matching in , otherwise there exists a matching in with . But is a matching in larger than , a contradiction. By induction hypothesis, covers all the red vertices of . Now cannot be a largest matching of as is a larger matching in . Thus and hence covers all the red vertices in . ∎
Corollary 4.5**.**
If a graph constructed by Procedure 4.1 is unicyclic non-KE, then the graph obtained from after applying Step (4) once is also unicyclic non-KE.
Proof.
Let be the graph obtained from after an application of Step (4) with a new black leaf attached to a red vertex of . Since is matched by all largest matchings in , . Also by Theorem 4.3, (in fact equality holds here). Thus is unicyclic non-KE.
∎
Theorem 4.6**.**
A graph obtained by Procedure 4.1 is a connected unicyclic non-KE graph.
Proof.
Follows from Lemma 4.2 and Corollary 4.5 and the fact that an odd cycle is a non-KE graph. ∎
Now we shall show that every connected unicyclic non-KE graph can be obtained by Procedure 4.1. The notation is continued to denote the unique cycle in . If is an even cycle, then is bipartite and thus KE. Hence must be an odd cycle. Consider the forest obtained from by deleting the edges in the cycle . Define the vertices in the cycle as the roots of the trees in this forest. Let be the component of the forest rooted at . The root is not considered a leaf even if the degree of in is 1. is called nontrivial if it has more than one vertex.
Lemma 4.7**.**
If is a unicyclic non-KE graph with the cycle , then does not have a leaf attached to .
Proof.
Suppose to the contrary that there exists a leaf attached to a vertex of . If , then is a forest (hence KE) and thus .
Now if is a largest independent set of , then is an independent set of , and if is a largest matching in , then is a matching in . Thus , and . Hence , implying is a KE graph, a contradiction. ∎
Lemma 4.8**.**
Let be a connected unicyclic non-KE graph with the (unique) cycle and be the forest obtained from by deleting all the edges belonging to . If is the component of rooted at , then every nontrivial contains a non-root vertex with one of the following properties:
- (i)
* is the parent of more than one leaves.* 2. (ii)
* is the parent of only one leaf and the degree of is .*
Proof.
Suppose does not contain any non-root vertex with property (i). We assert that must contain a vertex with property (ii). Suppose not, then each leaf has a parent of degree more than 2 and the parent does not have another leaf as a child. Let be the set of leaves of . From Lemma 4.7 it follows that . Let . Clearly ( denotes disjoint union of sets). It follows from the assumption that and for all . Also , for all , , and for all , . Hence sum of the vertex degrees in
[TABLE]
Thus . But implies
[TABLE]
∎
Theorem 4.9**.**
Any connected unicyclic non-KE graph can be constructed by Procedure 4.1.
Proof.
Let be a minimal connected unicyclic non-KE graph that cannot be constructed by Procedure 4.1. By Lemma 4.8, it follows that contains a nontrivial and a vertex of with one of the two properties listed in the lemma.
Case 1: satisfies property (i).
Let be the parent of the leaves , where . Note that all the leaves belong to any largest independent set of . Let . Note that and (in fact equality holds). This implies
[TABLE]
Thus is a connected unicyclic non-KE subgraph of . Minimality of implies can be constructed by Procedure 4.1. But can be obtained from by applying Step (4) and hence can also be constructed by Procedure 4.1, a contradiction.
Case 2: satisfies property (ii).
Let the unique child of be the leaf and . Note that if is a largest independent set of , then either or (but not both). Also if is the parent of and is a largest matching in , then either or , but not both. Thus and . This implies
[TABLE]
Thus is a connected unicyclic non-KE subgraph of . Minimality of implies can be constructed by Procedure 4.1. But can be obtained from by applying Step (3) and hence can also be constructed by Procedure 4.1, a contradiction. ∎
Theorem 4.10**.**
For any connected unicyclic non-KE graph the vertex coloring generated by Procedure 4.1 is independent of the particular sequence of steps that results in .
Proof of this theorem is omitted. Reduction steps similar to the ones used in the proof of Theorem 4.9 may be used here as for each reduction step the choice of color(s) for the deleted vertex (vertices) is unique. It may be noted that though the coloring is unique the same graph can be generated by different sequence of steps.
Let be a connected unicyclic non-KE graph with the odd cycle . For the rest of this section we assume is of length . Also we assume the unique coloring of the vertices of induced by Procedure 4.1. Define and to be the set of black and red vertices of respectively.
Theorem 4.11**.**
For any connected unicyclic non-KE graph , and .
Proof.
By Theorem 4.3 there exists a largest independent set of containing , so there is no red vertex in . The set is a largest independent set of the graph . Thus . For any , there exists a largest independent set of such that . Note that is a largest independent of . Hence for any , . Thus and . Also . ∎
An edge is called red-black if one endpoint of the edge is a red vertex and the other endpoint is a black vertex.
Lemma 4.12**.**
There is a largest matching in any connected unicyclic non-KE graph such that is covered by only red-black edges.
Proof.
We use induction on to prove this lemma.
Base Case: , where it is trivially true.
Induction Hypothesis: Let the assertion be true for .
Induction Step: Let and be the last red vertex added in by Procedure 4.1. Note that the only descendants of are black leaves , where . Now is also a unicyclic non-KE graph with red vertices. By induction hypothesis, has a largest matching which covers all the red vertices by only red-black edges. Note that is a largest matching in . Since is a red-black edge, the lemma is proved. ∎
Corollary 4.13**.**
For any connected unicyclic non-KE graph , .
Proof.
Let be a largest matching in that covers all the red vertices by only red-black edges. If is not a red-black edge, then . Thus number of non-red-black edges in is the size of a largest matching in the graph , which is . Hence . ∎
Theorem 4.14**.**
For any connected unicyclic non-KE graph , is a critical set of .
Proof.
Note that (Theorem 2.2 and Theorem 4.11). Observe that in Procedure 4.1 whenever a red vertex is added, an adjacent black vertex is also added. Thus . Also a black vertex is never attached to another black vertex or a blue vertex (vertex belonging to the unique cycle ). Thus . Also by Lemma 4.12, there is a matching from into . Hence by Theorem 2.15, is critical. ∎
Corollary 4.15**.**
For any connected unicyclic non-KE graph , .
Proof.
Follows from Theorem 4.11, Corollary 4.13 and Theorem 4.14. ∎
If is a disconnected unicyclic non-KE graph, then , ( denotes disjoint union of graphs), where is the component of containing the unique (odd) cycle and is a nonempty forest. Observe that is a connected unicyclic non-KE graph. Conversely, if is any connected unicyclic non-KE graph and is an arbitrary forest, then is a unicyclic non-KE graph.
By the corollary above, . It is known that for KE graphs the critical difference equals the difference between independence number and matching number [6]. Hence . It may be verified that , and . Thus . Hence holds for any disconnected unicyclic non-KE graph too and thus Conjecture 1.3 is proved.
Corollary 4.16**.**
Let be a connected unicyclic non-KE graph. Consider any sequence of Steps in Procedure 4.1 that results in . Then the critical difference of is the number of times a black vertex is added by Step (4) in the sequence.
Proof.
As the red vertices in the construction of a graph are in a one-to-one correspondence with the black vertices added by Step (3), the result follows. ∎
5 Concluding Observations
Core, ker, diadem of a graph and other related notions have been well studied, but some basic questions still remain. Two of the least understood problems are:
Problem 5.1**.**
[3, 9]** Characterize graphs such that is critical.
Problem 5.2**.**
[3, 9]** Characterize graphs with .
We tried to use Edmonds-Gallai decomposition to understand better. The observations in this section seem to be insufficient to address the above problems but may be useful in further work. For the completeness and to fix the notation Edmonds-Gallai decomposition is stated below.
Let be any finite simple graph. Let be the set of vertices not covered (missed) by a largest matching in and be the set of neighbors of outside . The set contains the remaining vertices. Note that . Edmonds-Gallai decomposition of is the partition of into the three sets and .
Theorem 5.3** (Edmonds-Gallai Structure Theorem).**
[11*]**
Let , and be the sets in the Edmonds-Gallai decomposition of a graph . Let , …, be the components of . If is a largest matching in , then the following properties hold.*
- (i)
All the vertices in are matched amongst themselves by (which implies has a perfect matching). 2. (ii)
If is a nonempty subset of , then has a vertex in at least distinct components of . 3. (iii)
All the vertices in are matched with vertices belonging to distinct components of by . In other words, for any pair of vertices and belonging to , there are distinct integers and in such that and are matched with a vertex belonging to and a vertex belonging to respectively by . 4. (iv)
Each of , …, is “factor-critical” (a graph is called factor-critical if for all , the graph has a perfect matching).
First a simple observation is stated.
Lemma 5.4**.**
Let be a disjoint union of factor critical graphs each of order strictly greater than 1. If and , then .
Proof.
Without loss of generality it may be assumed that is connected. Since is connected and , each vertex of has at least one neighbor. This implies (as ), . Now choose a vertex . Let . Since is a factor critical graph, has a perfect matching. As is an independent set of and admits a perfect matching, . Observe that . Thus . Therefore, . ∎
Theorem 5.5**.**
Let be a critical independent set of . If are the components of , then
[TABLE]
Proof.
Let
[TABLE]
and
[TABLE]
We need to show that . Suppose to the contrary that .
Assertion: .
Let and .
Let , for and . Note that . Since for all , is factor critical, Lemma 5.4 implies that for , . Thus
[TABLE]
Case 1: .
Since in this case ,
[TABLE]
Case 2: .
Let . Now we shall show that when . By Theorem 5.3(ii), has neighbors in at least components of . Thus has neighbors in at least components of different from , for . Hence . Also
[TABLE]
Therefore,
[TABLE]
Thus in both the cases and the assertion is proved.
Next note that
[TABLE]
In other words, all the vertices in belong to either the set or the singleton components of . Now vertices belonging to the singleton components of do not have neighbors in any component of . Also it follows from Edmonds-Gallai decomposition that there are no edges joining vertices in and vertices in . Thus and in particular . This implies
[TABLE]
Thus . From these observations it follows that
[TABLE]
This contradicts the criticality of . ∎
Corollary 5.6**.**
If are the components of , then
[TABLE]
Proof.
Since is a critical independent set of , Theorem 5.5 implies that
[TABLE]
Let . We shall show that . Suppose to the contrary that . By Theorem 5.3(i), vertices in are matched amongst themselves by any largest matching. Thus there is a matching from into , which implies . Now observe that
[TABLE]
In other words, is a set of vertices belonging to the singleton components of . It follows from Edmonds-Gallai decomposition that there are no edges joining vertices in and vertices in . Thus vertices belonging to the singleton components of have neighbors (if any) only in . In particular, , and hence
[TABLE]
Therefore,
[TABLE]
a contradiction to the minimality of as a critical independent set. ∎
It would also be nice to generalize the results proved for unicyclic non-KE graphs to graphs for which , where is a constant. It would be interesting to look at properties of , , etc. for graphs that are “close” to bipartite graphs.
6 Acknowledgement
Amitava Bhattacharya would like to thank Vadim Levit for introducing this topic to him during his short visit to TIFR, Mumbai in 2014. His initial insights and slides helped us start this project. His continued support has been very helpful. Srinivasa Murthy would like to express deep gratitude to his thesis advisor S. M. Hegde for his support and making this collaboration possible, which started during his thesis work. Srinivasa Murthy also thanks The Institute of Mathematical Sciences, Chennai, India, along with National Board for Higher Mathematics, India, for the post doctoral fellowship.
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