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Statement

Let VV be a finite-dimensional vector space over a field FF, let A⊂VA\subset V be finite, and let ss be a nonnegative integer. Let p(x,y)p(\mathbf x,\mathbf y) be a polynomial in 2⋅dim⁡V2\cdot\dim V variables with coefficients in FF and degree at most 2s+12s+1. Let Mp,AM_{p,A} be the matrix with rows and columns indexed by AA whose (a,b)(a,b) entry is p(a,b)p(a,b); it is the matrix of the bilinear form on FAF^A

Φp(f,g)=∑a,b∈Ap(a,b)f(a)g(b)(f,g:A→F),\Phi_p(f,g)=\sum_{a,b\in A}p(a,b)f(a)g(b)\qquad(f,g:A\to F),

which need not be symmetric, and Φp(f,f)\Phi_p(f,f) is the associated quadratic form. Write rank⁡(p,A)\operatorname{rank}(p,A) for the rank of Mp,AM_{p,A}; when F=RF=\mathbb{R}, write r+(p,A)r_+(p,A) and r−(p,A)r_-(p,A) for the positive and negative inertia indices of the quadratic form Φp(f,f)\Phi_p(f,f) (the printed definition writes them r+(p)r_+(p), r−(p)r_-(p); the conclusion writes r±(p,A)r_\pm(p,A)). Let dim⁡s(A)\dim_s(A) be the dimension of the space of polynomials of degree at most ss regarded as functions on AA.

Theorem 1.2 (p. 2). Under these hypotheses:

  1. "rank⁡(p,A)⩽2dim⁡s(A)\operatorname{rank}(p,A)\leqslant 2\dim_s(A)."
  2. "if F=R\mathbb{F}=\mathbb{R}, then max⁡{r+(p,A),r−(p,A)}⩽dim⁡s(A)\max\{r_+(p,A),r_-(p,A)\}\leqslant\dim_s(A)."

The paper presents this as a slightly improved real version of the Croot--Lev--Pach lemma (its reference [4], Lemma 1); part 1 is, in its words (p. 2), "more or less the original Croot-Lev-Pach lemma in disguise", and only part 2 is used for Theorem 1.1.

Source. Fedor Petrov and Cosmin Pohoata, A remark on sets with few distances in Rd\mathbb{R}^{d}, Proc. Amer. Math. Soc. 149 (2021), 569--571, read in the arXiv:1912.08181v1 edition identified on the source card: Theorem 1.2 stated on p. 2, proved in Section 2, pp. 2--3.

Read depth. Claims checked: the statement was read clause by clause on the print; the proof (pp. 2--3) was read for structure.

Proof pointer

Let Ω⊆FA\Omega\subseteq F^A be the functions orthogonal, under the coordinate pairing ∑a∈Af(a)g(a)\sum_{a\in A}f(a)g(a), to every polynomial of degree at most ss restricted to AA; its dimension is at least ∣A∣−dim⁡s(A)|A|-\dim_s(A). Each monomial xαyβ\mathbf x^\alpha\mathbf y^\beta of pp has ∣α∣≤s|\alpha|\le s or ∣β∣≤s|\beta|\le s, so the double sum it contributes factors into two single sums, one of which vanishes on Ω\Omega; hence Φp\Phi_p is zero on Ω×Ω\Omega\times\Omega. In a basis extending one of Ω\Omega, the nonzero entries of the matrix lie in ∣A∣−dim⁡Ω|A|-\dim\Omega rows and as many columns, which gives part 1. Over R\mathbb{R}, a subspace on which Φp(f,f)\Phi_p(f,f) is positive definite meets Ω\Omega only in 00, which bounds r+(p,A)r_+(p,A) by ∣A∣−dim⁡Ω|A|-\dim\Omega; the same argument for −Φp-\Phi_p bounds r−(p,A)r_-(p,A), giving part 2. The displayed factorization on p. 2 indexes its second sum by "b∈Bb\in B" [sic]; BB is not defined, and b∈Ab\in A is meant.

Dependencies

Linear algebra only: the dimension of an annihilator under a nondegenerate pairing and Sylvester's law of inertia. No result of another paper is used.

Bears on

  • Problem 502: part 2 is the lemma from which Theorem 1.1 derives the upper bound (d+22)\binom{d+2}{2} on two-distance sets in Rd\mathbb{R}^d; on its own it bounds no distance set.