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The Hall marriage theorem states that a finite bipartite graph with vertex classes $U$ and $V$ has a matching in a graph saturating $U$ if and only ifNecessity is immediate: distinct vertices of $A$ must be matched to distinct vertices of $N(A)$.

For sufficiency, induct on $|U|$. If every nonempty proper $A\subset U$ satisfies the strict bound $|N(A)|\ge |A|+1$, choose any edge $uv$ and delete its endpoints. Every $A\subseteq U\setminus \{u\}$ loses at most the neighbour $v$, so Hall's condition remains true; induction supplies a matching of the smaller graph, to which $uv$ is added.

Otherwise there is a nonempty proper tight set $A\subset U$ with $|N(A)|=|A|$. Hall's condition holds on the induced graph with parts $A,N(A)$, so induction matches $A$. For $B\subseteq U\setminus A$, Hall's condition on $A\cup B$ givesand hence $|N(B)\setminus N(A)|\ge |B|$. Induction therefore matches $U\setminus A$ into $V\setminus N(A)$. The two matchings are disjoint and together saturate $U$, completing the proof through Hall induction through a tight set.

Identify a subset of $[n]$ with its binary characteristic vector. Then $Q$ is the hypercube graph, and every edge changes set size by exactly one. The induced subgraph on $X_{i-1}\cup X_i$ is therefore bipartite with those two levels as its vertex classes.

Let $\mathcal{A}\subseteq X_{i-1}$. Every member of $\mathcal{A}$ has $n-i+1$ neighbours in $X_i$, obtained by adding one element, while every member of $N(\mathcal{A})$ is incident with at most $i$ of these edges. Double-counting the edges between the two families givesSince $i\le n/2$, we have $n-i+1\ge i$, and hence $|N(\mathcal{A})|\ge |\mathcal{A}|$. Hall's theorem yields the requested adjacent-level matching in a Boolean lattice, saturating $X_{i-1}$.

Finally, every chain in a partially ordered set in the Boolean lattice contains at most one member of the middle level $X_{n/2}$. Any chain partition therefore uses at leastchains.

For every $i\le n/2$, choose one of the matchings just constructed and orient its edges upward. These edges partition all levels at or below $n/2$ into chains ending at distinct middle-level sets. Taking complements gives, for every $i\ge n/2$, a matching from $X_{i+1}$ into $X_i$; orienting its edges upward extends those chains through all upper levels. Every subset belongs to exactly one resulting chain and every chain meets $X_{n/2}$ exactly once. Thus this symmetric chain decomposition of a Boolean lattice has one chain per middle-level set, and the minimum is

Let $G$ have $n$ vertices and $e$ edges. Its complement graph $\overline{G}$ hasedges. If both graphs were planar, the planar graph edge bound would giveEquivalently, $n^2-13n+24\le 0$, whose larger root is $(13+\sqrt{73})/2<11$. Thus an integer $n\ge 11$ is impossible, proving that

Now suppose that $G$ and $\overline{G}$ are both bipartite. In a bipartition $V(G)=A\bigsqcup B$, every pair within $A$ and every pair within $B$ is adjacent in $\overline{G}$. Since a bipartite graph contains no triangle, $|A|,|B|\le 2$, and hence $|V(G)|\le 4$. Equality is attained by the path $P_4$, whose complement is again a copy of $P_4$. Therefore the maximum order is

If the edge $uv$ lies in no triangle, no vertex can be adjacent to both endpoints; hence the neighbourhoods satisfy $\Gamma (u)\cap \Gamma (v)=\varnothing$.

Suppose $|\Gamma (u)|+|\Gamma (v)|=2n$. The two disjoint neighbourhoods then partition $V(G)$. If both were independent, every edge would run between these two parts, so $G$ would be bipartite andcontrary to $e(G)=n^2+1$. Thus at least one neighbourhood contains an edge, and that edge forms a triangle with $u$ or $v$.

We now prove by induction on $n\ge 2$ the Triangle lower bound one edge above the Mantel threshold: every graph on $2n$ vertices with at least $n^2+1$ edges has at least $n$ triangles. Part (ii) is the base case. For $n\ge 3$, if every edge lies in a triangle, part (iii) givesOtherwise choose an edge $uv$ lying in no triangle and put $s=d(u)+d(v)\le 2n$. Deleting $u,v$ removes $s-1$ edges, so the graph $G^{\prime }=G-u-v$ hasIf $s=2n$, induction gives at least $n-1$ triangles in $G^{\prime }$, while the nonindependence proved above supplies a further triangle through $u$ or $v$.

If $s\le 2n-1$, then $e(G^{\prime })\ge (n-1{)}^2+2$. Induction first supplies a triangle $\Delta$ in $G^{\prime }$. Delete one edge of $\Delta$; the remaining graph still has at least $(n-1{)}^2+1$ edges, so induction supplies $n-1$ triangles avoiding that edge. Together with $\Delta$, these give at least $n$ distinct triangles in $G$.

Let $X$ count the triangles of the binomial random graph $G(n,p)$. ThenTwo distinct triangle indicators are dependent only when the triangles share an edge. Hence their ordered Janson dependency sum is

If $0<p\le n^{-1/2}$, then $\Delta =O(\mu )$. The first Janson inequality givesFor the reverse bound, the events that individual triangles are absent are decreasing, so Harris' inequality giveswhere $p<1/2$ keeps the logarithmic estimate uniform. Thus the probability is $e^{-\Theta (p^3{n}^3)}$.

If $n^{-1/2}\le p<1/2$, the extended Janson bound givesFor a lower bound, fix a balanced bipartition of the vertices and require every edge inside either part to be absent. The resulting graph is bipartite, hence triangle-free, and this event has probabilityCombining the bounds proves the second regime.

Factor the proposed polynomial:In particular,By the two-colourability criterion for bipartite graphs, every finite bipartite graph has at least one proper two-colouring, so its chromatic polynomial is positive at $2$. Therefore $f$ cannot be the chromatic polynomial of a bipartite graph.

It is nevertheless a chromatic polynomial. Start with the complete graph $K_3$, whose vertices may be coloured inways, and attach one leaf to any vertex. After the triangle is coloured, the leaf has $t-1$ available colours. The chromatic polynomial after attaching a leaf therefore gives

The Hall marriage theorem says that a bipartite graph with classes $A,B$ has a matching saturating $A$ if and only ifwhere $N(S)$ is the graph neighbourhood of $S$. Necessity follows because the matching sends the vertices of $S$ to distinct vertices of $N(S)$.

For sufficiency, add vertices $x,y$, join $x$ to every vertex of $A$, and join every vertex of $B$ to $y$. Let $W$ be an $x$-$y$ vertex separator, and write $W_A=W\cap A$ and $W_B=W\cap B$. If an edge joined a vertex of $A\setminus W_A$ to a vertex of $B\setminus W_B$, it would give an $x$-$y$ path avoiding $W$. HenceHall's condition givesand therefore $|W|\ge |A|$. By Menger theorem, there are $|A|$ internally vertex-disjoint $x$-$y$ paths. Each has the form $xaby$ with $a\in A$ and $b\in B$; disjointness makes all the $a$ and all the $b$ distinct. Their middle edges form a matching saturating $A$.

Construct a bipartite graph with left vertices $A_1,\dots ,A_k$, right vertices $B_1,\dots ,B_k$, and an edge $A_i{B}_j$ exactly when $A_i\cap B_j\ne \varnothing$. For $S\subseteq [k]$, every point of ${\bigcup }_{i\in S}{A}_i$ lies in some $B_j$ adjacent to one of those $A_i$. ThusUsing finite additivity of Lebesgue measure and the equal-volume hypotheses,Hence $|N(S)|\ge |S|$ for every $S$. The Hall marriage theorem supplies a perfect matching, which has the form $A_i{B}_{\sigma (i)}$ for a permutation $\sigma$ of $[k]$. Every matched edge means precisely that $A_i\cap B_{\sigma (i)}\ne \varnothing$.

Write $r=|V_0|$, $s=|V_1|$, and $e=|E(G)|=\alpha |X||Y|$. We construct a random graph homomorphism $\Psi :T\to G$. Choose a root of the tree. Map it according to the degree-biased vertex distribution on the corresponding side of the bipartite graph; after mapping any vertex, map each child independently and uniformly to a neighbour of its parent's image.

Every oriented tree edge is then mapped uniformly onto the $e$ edges of $G$. Every tree vertex in $V_0$ has the degree-biased marginal on $X$, of entropy $H_X$, and every vertex in $V_1$ has the analogous marginal of entropy $H_Y$. Repeated use of the chain rule for information entropy along the rooted tree givesSince a $k$-vertex tree has $k-1$ edges,The maximum entropy distribution on a finite set gives $H_X\le \log |X|$ and $H_Y\le \log |Y|$. HenceIf $N$ is the number of bipartition-respecting graph homomorphisms $T\to G$, the support of $\Psi$ has size $N$, so the maximum entropy distribution on a finite set also gives $H(\Psi )\le \log N$. ThusThere are $|X{|}^r|Y{|}^s$ bipartition-respecting maps in total, so a uniformly chosen one is a graph homomorphism with probability at least ${\alpha }^{k-1}$. This proves the Sidorenko inequality for trees.

A popular sum of a finite set $A$ is an element having at least a specified number $u$ of ordered representations as $a+b$, with $a,b\in A$. Popular sums define a dense bipartite graph when additive energy is large. Since the total representation count is $|A{|}^2$, there are at most $|A{|}^2/u$ popular sums.

Every finite graph with $m$ edges has a cut of a graph of size at least $m/2$, and hence a spanning bipartite graph with at least $m/2$ edges. Put each vertex independently on either side with equal probability. Every edge crosses with probability $1/2$, so linearity of expectation gives expected cut size $m/2$.

Let $X=X_1\bigsqcup \cdots \bigsqcup X_r$ and $Y=Y_1\bigsqcup \cdots \bigsqcup Y_s$ be set partitions of the two parts of a bipartite graph. The pair of partitions is $\epsilon$-regular whenThus a uniformly random pair in $X\times Y$ lies in an irregular cell pair with probability at most $\epsilon$.

For finite sets in an abelian group and a bipartite graph $\Gamma \subseteq A\times B$, the restricted sumset is $\{a+b:(a,b)\in \Gamma \}$. It retains only sums corresponding to graph edges.

The Sidorenko conjecture states that every bipartite graph $H$ satisfiesfor every bipartite host graph $G$. Thus a random map is at least as likely to preserve every edge as the heuristic that treats the edge constraints independently predicts.

If a graph and its complement graph are both bipartite, then the graph has at most four vertices. Indeed, each part of a bipartition of the original graph induces a clique in the complement and therefore has at most two vertices. The bound is attained by the four-vertex path, whose complement is another four-vertex path.

The staggered magnetization weights the local magnetization with opposite signs on the two sublattices of a bipartite graph. It is nonzero in a Néel state even when the uniform magnetization vanishes.

Replace every degree-three vertex of a graph in one class of a bipartite graph by a triangle with one port for each incident edge. A self-avoiding walk whose endpoints remain in the other class cannot make two completed passages through the same triangle: each passage needs two unused ports and only three exist. Each old two-edge passage has exactly two replacements, of lengths three and four. Therefore the restricted generating functions satisfy $Z_H^0(x)=Z_G^0(\sqrt{x^3+x^4})$. If the old radius is $1/\mu$, the new radius obeys ${\rho }^3+{\rho }^4={\mu }^{-2}$.

A tripartite graph has a set partition of its vertices into three classes, with every edge joining different classes. Each pair of classes induces a bipartite graph, and every triangle in a graph uses one vertex from each class.

A finite graph is bipartite exactly when it has a proper colouring with two colours. Equivalently,for its chromatic polynomial.