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On the uniform layer of the Boolean cube ${\Omega }_r$, every multilinear polynomial of polynomial degree at most $s\le r$ is in the span of the degree-$s$ square-free monomials. For $T\subseteq [n]$, $|T|=j\le s$, and $x_T={\prod }_{i\in T}{x}_i$, the identity isAt the characteristic vector of a set $A$ of size $r$, both sides vanish if $T⊈A$. Otherwise exactly $\left(\genfrac{}{}{0ex}{}{r-j}{s-j}\right)$ summands are $1$. Hence the dimension of the restricted polynomial space is at most $\left(\genfrac{}{}{0ex}{}{n}{s}\right)$. No assertion of independence of the spanning monomials is needed, so no condition $r+s\le n$ is required. Unlike ordinary homogenization, this operation preserves degree bounds by using the fixed-weight evaluation domain.

Write $\left(\genfrac{}{}{0ex}{}{[n]}{k}\right)$ for the $k$th uniform layer of the Boolean cube. For $\mathcal{F}\subseteq \left(\genfrac{}{}{0ex}{}{[n]}{k}\right)$, $1\le k\le n$, its lower shadow is $\partial \mathcal{F}=\{B:|B|=k-1,B\subset A\text{ for some }A\in \mathcal{F}\}$. The Local LYM inequality statesTo prove it, count pairs $(B,A)$ with $A\in \mathcal{F}$, $B\subset A$ and $|B|=k-1$. Each $A$ contributes $k$ pairs; each member of the lower shadow contributes at most $n-k+1$. Thus $k|\mathcal{F}|\le (n-k+1)|\partial \mathcal{F}|$, which is exactly the displayed Local LYM inequality. The corresponding upper shadow inequality follows either by taking complements or by counting upward inclusion pairs.

For an antichain $\mathcal{A}\subseteq \mathcal{P}([n])$, put ${\mathcal{A}}_k=\mathcal{A}\cap \left(\genfrac{}{}{0ex}{}{[n]}{k}\right)$. The LYM inequality isFor the first proof, set ${\mathcal{B}}_n={\mathcal{A}}_n$ and recursively ${\mathcal{B}}_k={\mathcal{A}}_k\cup \partial {\mathcal{B}}_{k+1}$. Every member of ${\mathcal{B}}_{k+1}$ is a subset of an original member of $\mathcal{A}$ of size at least $k+1$. Consequently ${\mathcal{A}}_k$ and $\partial {\mathcal{B}}_{k+1}$ are disjoint: otherwise one original member would properly contain another, contradicting the antichain condition. The Local LYM inequality now givesIterating down to $k=0$ bounds the desired sum by $|{\mathcal{B}}_0|\le 1$, proving the LYM inequality.

For the second proof, a permutation $(i_1,\dots ,i_n)$ determines a maximal chain in a Boolean lattice through the successive initial subsets $\varnothing ,\{i_1\},\dots ,[n]$. A member $A$ of size $k$ lies on exactly $k!(n-k)!$ of these $n!$ maximal chains in a Boolean lattice. An antichain meets each such chain in a partially ordered set at most once. Counting its incidences with the maximal chains in a Boolean lattice therefore yields ${\sum }_{A\in \mathcal{A}}|A|!(n-|A|)!\le n!$. Division by $n!$ is the LYM inequality again.

The Sperner theorem says that an antichain has at most $M=\left(\genfrac{}{}{0ex}{}{n}{\lfloor n/2\rfloor }\right)$ members. Indeed $\left(\genfrac{}{}{0ex}{}{n}{k}\right)\le M$ for every $k$, soThe middle uniform layer of the Boolean cube attains the bound. For equality in Sperner theorem, equality throughout forces every member to lie in a layer of maximum size. If $n=2k$, this forces $\mathcal{A}=\left(\genfrac{}{}{0ex}{}{[n]}{k}\right)$.

If $n=2k+1$, only ranks $k$ and $k+1$ are possible. Let $\mathcal{L}={\mathcal{A}}_k$, $\mathcal{U}={\mathcal{A}}_{k+1}$, and $\mathcal{S}=\nabla \mathcal{L}$ be the upper shadow. The antichain condition gives $\mathcal{U}\cap \mathcal{S}=\varnothing$. The Local LYM inequality for the two equally sized middle layers gives $|\mathcal{S}|\ge |\mathcal{L}|$, while $|\mathcal{L}|+|\mathcal{U}|=M$ forces $|\mathcal{S}|=|\mathcal{L}|$ and $\mathcal{U}=\left(\genfrac{}{}{0ex}{}{[n]}{k+1}\right)\setminus \mathcal{S}$.

Consider the inclusion bipartite graph between these two middle layers. It is a $(k+1)$-regular graph. Since $|\mathcal{S}|=|\mathcal{L}|$, all $(k+1)|\mathcal{S}|$ edges incident to $\mathcal{S}$ must come from $\mathcal{L}$; there are no edges from its complement on the lower side into $\mathcal{S}$. This bipartite graph is a connected graph: any two $k$-subsets can be joined by single-element exchanges, and each exchange passes through their common $(k+1)$-superset; every upper vertex has a lower neighbour. For $k=0$ it is just one edge. Hence either $\mathcal{L}=\varnothing$ or $\mathcal{L}$ is the whole lower layer. We have proved the complete classification:The two possibilities coincide for even $n$; for $n=0$ the unique maximum antichain is $\{\varnothing \}$.

Finally enumerate the members of the separating set system as $A_1,\dots ,A_m$ and encode each point $i\in [n]$ by $T_i=\{a\in [m]:i\in A_a\}$. Separation of the ordered pair $(i,j)$ means $T_i\setminus T_j\ne \varnothing$. Applying the hypothesis also to $(j,i)$ shows that the $n$ sets $T_i$ are distinct and pairwise incomparable. They form an antichain in $\mathcal{P}([m])$, so the Sperner theorem immediately gives

The Frankl-Wilson theorem in its uniform form says: let $p$ be a prime number, let $L\subseteq {\mathbb{F}}_p$ have size $s\le \min (k,n-k)$, and let $\mathcal{F}\subseteq \left(\genfrac{}{}{0ex}{}{[n]}{k}\right)$ have $k\mathrm{mod}p\notin L$, while $|A\cap B|\mathrm{mod}p\in L$ for every distinct pair of members. Then

The modular-intersection, nonuniform form of the Frankl-Wilson theorem is as follows. Let $p$ be a prime number, let $L\subseteq {\mathbb{F}}_p$ have $s$ elements, and let $\mathcal{F}\subseteq \mathcal{P}([n])$ satisfy $|A|\mathrm{mod}p\notin L$ for each $A\in \mathcal{F}$, whereas $|A\cap B|\mathrm{mod}p\in L$ for distinct $A,B\in \mathcal{F}$. ThenThis nonuniform Frankl-Wilson theorem allows different sizes and different diagonal residues; in particular it applies when all sizes have one common residue outside $L$.

To prove it by the polynomial method in combinatorics, work over the finite field ${\mathbb{F}}_p$ and associate to each member the intersection polynomialReplace each positive power of $x_i$ in its expansion by $x_i$ to obtain its multilinear reduction on the Boolean cube ${\tilde{P}}_A$. This preserves evaluation on every characteristic vector, whose coordinates are zero or one, and leaves degree at most $s$. At the characteristic vector $1_B$,It is zero for distinct $A,B$, and nonzero for $B=A$ by the diagonal hypothesis. If ${\sum }_{A\in \mathcal{F}}{c}_A{\tilde{P}}_A=0$, evaluating at each $1_B$ forces $c_B=0$. Thus the multilinear polynomials are linearly independent. They belong to the vector space with basis the square-free monomials ${\prod }_{i\in S}{x}_i$ for $|S|\le s$, whose dimension is the displayed sum. This proves the nonuniform form, including $s=0$, where distinct members are impossible and the empty product is one.

For the sharp uniform form, we need the low-degree evaluation rank on a uniform layer. Form the integer matrix $M$ whose rows are indexed by $S\subseteq [n]$ with $|S|\le s$, columns by $k$-subsets $T$, and entries $M_{S,T}=1_{S\subseteq T}$. These are evaluations of the square-free monomials. Over the rational numbers, the row of a $j$-subset $S$ satisfiesIndeed, when $S\subseteq T$ the left side counts the $s$-subsets between $S$ and $T$, and otherwise both sides vanish. Since $s\le k$, the coefficient is a positive integer. Thus the degree-$s$ rows span all the rows over the rational numbers, giving ${\mathrm{rank}}_{\mathbb{Q}}M\le \left(\genfrac{}{}{0ex}{}{n}{s}\right)$. Every square submatrix of larger size has integer determinant zero, so its determinant remains zero modulo $p$. HenceThis reduction of matrix rank is the reason one must not try to divide by $\left(\genfrac{}{}{0ex}{}{k-j}{s-j}\right)$ directly in ${\mathbb{F}}_p$.

The evaluations of the ${\tilde{P}}_A$ on the $k$th uniform layer of the Boolean cube lie in the row linear span of $M$ over ${\mathbb{F}}_p$. They are linearly independent as functions there, because restriction to the columns corresponding to $\mathcal{F}$ still gives the nonzero diagonal evaluation matrix. Their number is consequently at most $\left(\genfrac{}{}{0ex}{}{n}{s}\right)$. This completes the proof of the uniform Frankl-Wilson theorem as well.

For the odd-cardinality problem the sharper Oddtown theorem follows directly from linear algebra. Let $v_A=1_A\in {\mathbb{F}}_2^n$ be the characteristic vector. The parity conditions sayFor any linear combination ${\sum }_A{c}_A{v}_A=0$, take its dot product with $v_B$. All off-diagonal terms vanish, leaving $c_B=0$. Hence these vectors are linearly independent in an $n$-dimensional vector space, givingThe singleton sets show that the bound can be attained. Notice why the constant term in the general nonuniform Frankl-Wilson theorem is unnecessary here: these dot products already give a diagonal evaluation matrix using only the $n$ coordinate functions.

For even $n$, partition $[n]$ into the pairs $\{1,2\},\{3,4\},\dots ,\{n-1,n\}$ and take every union of a selection of these pairs. This gives exactly $2^{n/2}$ distinct sets, including the empty set. Each has even size; every pairwise intersection is again a union of entire pairs and therefore has even size. This attains the proposed bound.

For any set family satisfying the even-cardinality conditions, let $W$ be the linear span of its characteristic vectors over ${\mathbb{F}}_2$. Now the self-dot products vanish as well as the off-diagonal ones. By bilinearity, $u\cdot v=0$ for all $u,v\in W$, so $W\subseteq W^{\perp }$: it is a self-orthogonal binary subspace.

For completeness the standard bilinear form on ${\mathbb{F}}_2^n$ is nondegenerate, because a vector orthogonal to every coordinate vector has every coordinate zero. Thus the map $v\mapsto (w\mapsto v\cdot w)$ from ${\mathbb{F}}_2^n$ onto the dual space $W^{\ast }$ is surjective: every linear functional on $W$ extends to the whole vector space by extending a basis, and every such functional on ${\mathbb{F}}_2^n$ is a dot product with a vector. Its kernel is $W^{\perp }$. The rank-nullity theorem consequently gives $\dim W^{\perp }=n-\dim W$. The inclusion $W\subseteq W^{\perp }$ implies $\dim W\le n/2$. Finally, distinct members have distinct characteristic vectors, all in $W$, and a $k$-dimensional vector space over ${\mathbb{F}}_2$ has exactly $2^k$ elements. ThereforeThis proves the Eventown theorem and also explains the suggested dimension contradiction if the set family had more than $2^{n/2}$ members.

Write $[n{]}^{(r)}$ for the rank-$r$ uniform layer of the Boolean cube. For a uniform set family $\mathcal{F}\subseteq [n{]}^{(r)}$, with $1\le r\le n$, let $\partial \mathcal{F}$ be its lower shadow. The Local LYM inequality isFor its proof, count incidences $(B,A)$ with $A\in \mathcal{F}$, $B\subset A$, and $|B|=r-1$. Each member of $\mathcal{F}$ contributes $r$ incidences, while each member of the lower shadow contributes at most $n-r+1$. Thus $r|\mathcal{F}|\le (n-r+1)|\partial \mathcal{F}|$, which is the displayed bound by the ratio of consecutive binomial coefficients. Complementing every set gives the corresponding upper shadow bound, $|\nabla \mathcal{F}|/\left(\genfrac{}{}{0ex}{}{n}{r+1}\right)\ge |\mathcal{F}|/(\genfrac{}{}{0ex}{}{n}{r})$ for $r<n$.

For an antichain $\mathcal{A}$ in the Boolean lattice, the LYM inequality isHere is the proof using the Local LYM inequality. Denote the rank-$r$ part by ${\mathcal{A}}_r$, and let ${\mathcal{D}}_r$ consist of the $r$-sets containing some member of $\mathcal{A}$ of size at most $r$. These families satisfyThe union is disjoint because a member of the antichain cannot contain a strictly smaller member. Apply the upper shadow form of the Local LYM inequality to ${\mathcal{D}}_{r-1}$:Iterating gives a bound for the entire sum by $|{\mathcal{D}}_n|/(\genfrac{}{}{0ex}{}{n}{n})\le 1$. This also covers the empty antichain and an antichain containing the empty set.

For the second proof, each permutation of $[n]$ specifies a maximal chain in a Boolean lattice by taking its successive prefixes. There are $n!$ such maximal chains in a Boolean lattice, and a fixed $r$-set belongs to $r!(n-r)!$ of them. A maximal chain in a Boolean lattice meets an antichain at most once. Double counting these incidences therefore gives ${\sum }_r|{\mathcal{A}}_r|r!(n-r)!\le n!$, exactly the LYM inequality.

The Sperner theorem says that an antichain in $\mathcal{P}([n])$ has at most $\left(\genfrac{}{}{0ex}{}{n}{\lfloor n/2\rfloor }\right)$ members; a full middle rank attains this bound. Indeed, every binomial coefficient $\left(\genfrac{}{}{0ex}{}{n}{r}\right)$ is at most the central one, so the LYM inequality givesNow let $\mathcal{F}$ be an intersection-free uniform set family. If it is empty, there is nothing to prove. Fix $X\in \mathcal{F}$ and consider the tracesIf $A,B\ne X$ are distinct and $X\cap A\subseteq X\cap B$, then $X\cap A\subseteq B$. This contradicts the defining restriction on the three distinct members $X,A,B$. The intersection has size less than $r$, so it is a proper subset of $B$ even if the printed subset symbol is interpreted strictly. In particular, equal traces are impossible, and the traces form an antichain. Thus $|\mathcal{T}|=|\mathcal{F}|-1$. Applying the Sperner theorem to the $r$-element ground set $X$ proves the antichain trace bound for intersection-free familiesThe argument also handles $r=0$: a uniform set family then has at most one member.

Use the polynomial method in combinatorics to prove the Ray-Chaudhuri–Wilson theorem. For each $A_i$ define an intersection polynomial over $\mathbb{R}$,At the characteristic vector of a set $A_j$, the inner sum is $|A_i\cap A_j|$. ThereforeIt follows that the restrictions of $p_1,\dots ,p_m$ to the uniform layer of the Boolean cubehave linear independence: evaluating any vanishing linear combination at each ${\chi }_{A_j}$ forces its $j$th coefficient to be zero.

Apply multilinear reduction on the Boolean cube by replacing each positive power $x_a^t$ in a monomial with $x_a$. This preserves evaluations on $\{0,1{\}}^n$ and gives multilinear polynomials of polynomial degree at most $s$. Counting all monomials of degrees up to $s$ would give only ${\sum }_{j=0}^s\left(\genfrac{}{}{0ex}{}{n}{j}\right)$, which is too weak. Instead use homogenisation on a uniform layer.

Because $L$ has $s$ distinct integers in $\{0,\dots ,r-1\}$, we have $s\le r$. For $T\subseteq [n]$ with $|T|=j\le s$, write $x_T={\prod }_{a\in T}{x}_a$, with $x_{\varnothing }=1$. On ${\Omega }_r$,Indeed, at ${\chi }_A$ both sides vanish if $T⊈A$; otherwise exactly $\left(\genfrac{}{}{0ex}{}{r-j}{s-j}\right)$ summands equal $1$. The denominator is positive since $j\le s\le r$. Thus every monomial of degree at most $s$, restricted to ${\Omega }_r$, lies in the span of the $\left(\genfrac{}{}{0ex}{}{n}{s}\right)$ degree-$s$ monomials. This vector space consequently has dimension at most $\left(\genfrac{}{}{0ex}{}{n}{s}\right)$. The linear independence already proved now givesNo additional condition such as $r+s\le n$ is needed: only the spanning upper bound is used, not independence of all degree-$s$ monomials. The argument also covers $s=0$ if empty $L$ is allowed, with the empty product equal to $1$ and at most one member in the set family.