Incidence Bounds on Edge Partitions of
Abstract
We solve a problem conjectured by Cheriyan, giving sharp bounds for incidence of certain edge partitions of the connected graph on -vertices. We briefly discuss the history of the problem and relation to node connectivity of strongly regular graphs. We show that the bound cannot be made sharper.
1 Introduction
Several characterizations of edge-connectivity are known within the literature. See, for instance, [5], [3], or [6]. In recent years there has been a push to understand an analogous notion of connectivity for nodes [2]. One earlier result within this area is found in [4].
Theorem 1.
Let be a -regular -node connected graph such that for every set of nodes with we have . Then every Eulerian orientation of is strongly -node connected.
Here is, of course, the number of nodes in adjacent to . This theorem is then used to prove the following within the same paper.
Theorem 2.
Every Eulerian orientation of the hypercube of degree is strongly -node connected.
In an effort to extend this to a larger family of strongly regular graphs the Johnson (the line graph of ) was considered. It was remarked that this problem is equivalent to proving the main theorem within this work. Since then, the analogue for theorem 1 on was proven in [1] but the incidence bound remained an open question.
In this paper we provide an alternate proof to the one found in [1] of the parallel result for the line graph of the connected graph . In doing so we prove certain incidence bounds for edge partitions of .
The author would like to thank Joseph Cheriyan for his comments and encouragements. Without him this paper would not have been possible.
2 The main result
Let be the connected graph on vertices. Partition the edges of into sets ,, and with . We prove that the incidence of and is at least the minimum of the incidence of either and or and .
Label the vertices and let the degree in of be , respectfully. We prove
Theorem 3.
We begin with an elementary observation, since the degree of each node is ,it follows that . Suppose are the nodes with degree in equal to , let be the nodes with degree in being . We let , , .
Assume for contradiction that and . We first prove a few quick lemmas:
Lemma 1.
We have:
And:
(1) |
Proof.
From
Write to get
And by symmetry we have the other inequality. For the last inequality simply sum the incidence inequalities (note that ):
And divide through by . ∎
Lemma 2.
Proof.
We have exactly non-zero degree in vertices so for each we have and similarily . Then for we must have . Using this we bound the sum , since . The maximum over and is achieved when term dominates, so is at most . ∎
Lemma 3.
Proof.
The sum of squares is smallest when they are evenly distributed, in this case this is achieved when for of the vertices and for the remaining . We also know :
∎
Contradiction.
We can WLOG assume . Assume . Then by summing the first two lines of 1
(3) |
Rearranging and simplifying terms now gives us:
The goal is to prove the RHS is larger than the LHS for contradiction. Notice:
The last is from at least for all , otherwise implies there is some vertex with all edges in meaning .
And bounding .
Substituting the above in and collecting yields
We assumed that is at least . The worst case for the above is when with the largest zero of the RHS occurring at
(4) |
Recall the bound . This gives . Substitute this for in the above. What one obtains is a polynomial that is
positive for all . Our contradictive assumption was that this expression is negative, contradiction.
We have only a few cases left to consider: . One can verify by computer that the conjecture is true for for the given . For larger we use the following technique.
By symmetry we can assume that and that is at least . Consider the vertices, in . Let be the subset of vertices in connected to both and via an edge in . Use to denote . We must then have by degree considerations on . Also, by pigeonhole principle. This comes from the realization that in the worst case we have ( comes from edges contained in ) for the case where edges going to the vertices in . A double count occurs at least many times.
We intend to show
Indeed
(5) |
Where . Comparing the above to gives a difference of
That is, we wish to show
(6) |
for a contradiction.
Lemma 4.
Proof.
From the above we have or
And since is at most (we can have adjacent edge among the in )
∎
The penultimate step is using this easy bound on
Lemma 5.
We can finally simplify the fraction on (6) to
by finding common denominators and reducing.
So we are left with , the theorem is true for , as required.
To summarize, we are left with
Theorem 4.
Suppose is an edge partition of with . Then
(7) |
Where are the respective degrees of vertex in .
3 Sharp Bounds
We now demonstrate that the bound obtained on the incidence is in some sense the best possible. Suppose we strengthened the condition on the size of to be instead of . In this case we can construct a family of counterexamples.
Let and consider the edge partition
The incidence of and is then while the incidence of and is . The incidence between and is at least . Therefore,
the bound from 4 fails.
We’ve added an illustration of the case below.
The blue edges are in , the black, , and red, .
4 Eulerian Orientations of the Line Graph of
Recall theorem 1. Following the logic of the proof as in [4] we see that
implies, for ,
where are induced vertex subsets of coming from edges in after taking the line graph. As a consequence of the incidence bounds,
Theorem 5.
Every Eulerian orientation of the line graph of of degree is strongly -node connected.
References
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