Hall's marriage theorem says that a finite bipartite graph with parts has a matching covering if and only if for every . Necessity follows because matching edges send the vertices of to distinct neighbours.
For sufficiency, choose a maximum matching . If it misses , explore all alternating paths from , taking unmatched edges from left to right and matched edges from right to left. Let and be the reached vertices. No vertex of can be unmatched, since flipping the edges along the resulting augmenting path would enlarge .
Every neighbour of a reached left vertex is reached on the right: unmatched edges are exploration steps, and a matched edge leads back to an already reached matching partner. Thus . Each right vertex in is matched to a reached left vertex other than , and every reached left vertex other than arose this way. These matching partners give a bijection . Hence , contradicting the assumed inequality. Therefore the maximum matching covers .
Write the bipartition as . Counting edges by their left and right ends gives , so the parts have equal size. Put . If some violated Hall's marriage theorem in , let , so .
There are edges of incident with , of which at most can end in . Thus at least end in . All those edges must have been deleted, by the definition of . This contradicts . Hence has a matching covering , and equal part sizes make it a perfect matching avoiding every edge of .
False. The path graph on four vertices is bipartite and its first and last edges form a perfect matching. It has no cycle at all, so it has no Hamiltonian cycle. This counterexample is connected as well.
True. Every cycle in a bipartite graph has even length because its vertices alternate between the two parts. On a Hamiltonian cycle, choose every other edge. These edges are disjoint and cover every vertex exactly once, so they form a perfect matching.
False. The complete bipartite graph is -connected. Deleting fewer than vertices leaves at least one vertex in each part and therefore a connected complete bipartite graph; deleting the smaller part disconnects the larger independent set. But its two parts have unequal sizes, so a matching cannot cover them both. Equivalently it has an odd number of vertices. Thus it has no perfect matching.
For a finite simple loopless graph, counts proper vertex colorings with labelled available colors, initially for nonnegative integer . For an edge , proper colorings of split into those with different endpoint colors, counted by , and those with equal endpoint colors, counted by the contracted graph. Hence the deletion-contraction recurrence for the chromatic polynomial isParallel edges created by contraction can be suppressed since they impose the same coloring constraint. A graph with no edges has . Induction by this recurrence therefore gives a polynomial agreeing with the counting function on all nonnegative integers. That polynomial is unique because two distinct polynomials cannot agree at infinitely many points.
Induct using the same deletion-contraction recurrence for the chromatic polynomial. The edgeless graph has polynomial , so its leading coefficient is one and the others are zero. All nonempty-vertex chromatic polynomials have zero constant term, since no coloring uses zero colors.
For an existing edge, write the alternating coefficient lists of the deletion and simplified contraction as and . The contraction has vertices, so subtracting its polynomial changes its leading sign by one place. Thuswith nonexistent indices understood as zero. Both summands are nonnegative by induction. The leading coefficient is , and the next isThis proves the alternating expansion and nonnegativity of every . The coefficient assertion for is relevant when ; the one-vertex graph simply has polynomial .
Set . The coefficient formula givesEvery summand is nonnegative and the leading term is , since . Therefore
Use induction on the number of vertices, and for fixed on the number of missing edges. If is not complete, choose a missing edge and put . The recurrence rearranges asThe first term is positive by the missing-edge induction. The second graph has vertices, so the vertex induction makes its polynomial positive for , in particular for the present range. The one-vertex base case is . Thus for all , including noninteger ; counting colorings alone would not establish that real-variable claim.
For disjoint nonempty vertex sets, their edge density is . The pair is epsilon-regular or epsilon-uniform if for all , with and ,It controls density on every sufficiently large subpair, rather than merely on average over chosen subpairs.
An epsilon-uniform partition has disjoint classes covering the vertex set, with , equal nonexceptional class sizes , and at most unordered pairs of distinct nonexceptional classes failing epsilon-uniformity. The exceptional set need not have the common size.
Szemerédi regularity lemma states that for every and positive integer , there is such that every sufficiently large finite graph, for example every graph of order at least after enlarging if needed, has such a partition with . The bound depends only on the accuracy and minimum class count, not on the graph's order.
Let be the vertices with fewer than neighbours in . If , its density to all of is below . But epsilon-uniformity applies to and requiresa contradiction. Therefore .
Apply part (c) to the pairs and . Outside a union of at most exceptional vertices, every has sets and of size at least .
These sets are large enough for epsilon-uniformity of , because . HenceEvery such edge completes a distinct triangle through . Thus at most vertices of fail the claimed triangle count. Summing these triangles over the good vertices counts each triangle with one vertex in each class exactly once. Since and ,
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