Polynomial equations in function fields
Pierre-Yves Bienvenu

TL;DR
This paper applies polynomial methods to bound the size of polynomial solution-free sets over finite fields, achieving exponential bounds that improve upon previous integer-based results.
Contribution
It introduces new bounds for solution-free polynomial sets over finite fields, extending polynomial method applications to new algebraic equations.
Findings
Bound of the form q^{cn} for some c<1 on solution-free polynomial sets
Contrast with integer case bounds that have only logarithmic savings
Applicable for equations with at least 2r^2+1 variables
Abstract
The breakthrough paper of Croot, Lev, Pach \cite{CLP} on progression-free sets in introduced a polynomial method that has generated a wealth of applications, such as Ellenberg and Gijswijt's solutions to the cap set problem \cite{EG}. Using this method, we bound the size of a set of polynomials over of degree less than that is free of solutions to the equation , where the coefficients are polynomials that sum to 0 and the number of variables satisfies . The bound we obtain is of the form for some constant . This is in contrast to the best bounds known for the corresponding problem in the integers, which offer only a logarithmic saving, but work already with as few as variables.
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Taxonomy
TopicsLimits and Structures in Graph Theory · Analytic Number Theory Research · Mathematical Dynamics and Fractals
Polynomial equations in
Pierre-Yves Bienvenu
Abstract.
The breakthrough paper of Croot, Lev, Pach [3] on progression-free sets in introduced a polynomial method that has generated a wealth of applications, such as Ellenberg and Gijswijt’s solutions to the cap set problem [4]. Using this method, we bound the size of a set of polynomials over of degree less than that is free of solutions to the equation , where the coefficients are polynomials that sum to 0 and the number of variables satisfies . The bound we obtain is of the form for some constant . This is in contrast to the best bounds known for the corresponding problem in the integers, which offer only a logarithmic saving, but work already with as few as variables.
Let be a ring and be elements of which sum to 0, i.e. . Then the equation
[TABLE]
possesses a wealth of trivial solutions , namely constant tuples , even though it is not a translation-invariant equation. This suggests that if a subset is free of non-trivial solutions, then it should be small. For the ring , this question was studied first by Smith [9], Keil [7] and Henriot [6]; they replaced the single equation by a system comprising the initial equation and a linear equation in order to ensure invariance under translation and dilation. Recently, Browning and Prendiville [1] showed that if and , and satisfies and is large enough, then equation (1) necessarily admits non-trivial solutions in . Their method relies on the transference principle. Further, Chow [2] proved that any relatively dense subset of the primes contains a solution to any equation of the form (1), as long as .
Similarly, one may ask whether any dense subset of the ring is bound to contain a non-trivial solution to (1). In this note, we answer the question under a natural condition on the number of variables, namely . In the function field setting, the polynomial method of Croot, Lev and Pach [3] can be fruitfully applied and delivers much stronger bounds than any method known in the integers. This was already noticed by Green [5] in the case of Sarközy’s theorem.
We now precisely state our main theorem. We fix a prime power and write for the set of polynomials of degree strictly less than over , so that .
Theorem 1**.**
Let and be integers satisfying . Suppose are polynomials over of degree at most satisfying . Then there exist constants and such that any satisfying must contain a non-trivial solution to the equation (1).
The aforementioned paper of Chow [2] implies that is sufficient in the integers, but the bound on the size of obtained by his analytic method is much weaker (we get a power saving, as opposed to his logarithmic saving).
We reduce the theorem to the following proposition, which is then tractable by the polynomial method of Croot-Lev-Pach.
Proposition 2**.**
For any , there exists a constant such that the following holds. Let be a polynomial map of degree at most (i.e. each coordinate is a polynomial of degree at most ) and . Suppose that for any , the equality holds if, and only if, for some . Finally, suppose that . Then .
We prove that Proposition 2 implies Theorem 1. Each polynomial can be seen as a vector . Now so we see it as the vector
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We notice that where is a polynomial map of degree . Similarly, if of degree at most , we see that is a polynomial map (of degree 1). Thus,
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induces a polynomial map of degree
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where and
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We observe that if does not contain any non-trivial solution to (1), the set contains only trivial solutions to the equation .
Moreover, given that , we have
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Hence if , we have , with
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We can then apply Proposition 2 and obtain for some constant . Taking care separately of the small values of , one can find a constant such that the bound
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is valid for all .
We now prove Proposition 2. We remark, in the spirit of Tao’s blog post [10], that the fact that
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implies that
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where is 0 if and 1 otherwise. We now recall the notion of slice-rank, as in Tao’s blog post or the article of Kleinberg, Sawin and Speyer [8]. Take a subset and a map . Let be the set of functions . This set of functions is naturally in bijection with the set of polynomials in in which no indeterminate is raised to a power greater than (see for instance [5] for a proof of this bijection).
Definition**.**
A polynomial cover for is a tuple such that for each and , there exists a function from to such that for any , we have
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The slice rank of is the minimum size of a polynomial cover.
We find that the slice-rank of the right-hand side of (2) is ; indeed, this is [10, Lemma 1]. The left-hand side of (2) is a polynomial in variables denoted for and , and its total degree is at most . Now is a sum of monomials of the form
[TABLE]
where each is a monomial in variables. For each monomial , by the pigeonhole principle, there exists such that .
Being interested in as a function on , we reduce it modulo the ideal generated by the polynomials for and . We continue to use for the only polynomial in the class modulo which has degree at most in each variable . Further, we denote by the set of monomials in variables, of degree at most in each variable and at most in total.
We infer from the data above that there exist sets of monomials and functions for such that
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Now may be interpreted as the probability that the sum of independent, uniform random variables on is at most . To bound this probability, we use Hoeffding’s concentration inequality, which implies that
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where . This implies that the slice-rank of is at most and concludes the proof of Proposition 2.
In fact, we observe that the scope of our theorem encompasses more general equations than the diagonal equation (1), because Proposition 2 does not require any information on other than its degree.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] T. Browning and S. Prendiville. A transference approach to a Roth-type theorem in the squares. Ar Xiv e-prints , October 2015.
- 2[2] S. Chow. Roth–Waring–Goldbach. Ar Xiv e-prints , February 2016.
- 3[3] E. Croot, V.F. Lev, and P.P. Pach. Progression-free sets in ℤ 4 n superscript subscript ℤ 4 𝑛 \mathbb{Z}_{4}^{n} are exponentially small. Ann. Math. , 185(1):331–337, 2017.
- 4[4] J. Ellenberg and D Gijswijt. On large subsets of 𝔽 3 n superscript subscript 𝔽 3 𝑛 \mathbb{F}_{3}^{n} with no three-term arithmetic progression. Ann. Math. , 185 (1):339–343, 2017.
- 5[5] B. Green. Sarkozy’s theorem in function fields. Ar Xiv e-prints , May 2016.
- 6[6] Kevin Henriot. Logarithmic bounds for translation-invariant equations in squares. Int. Math. Res. Not. IMRN , (23):12540–12562, 2015.
- 7[7] Eugen Keil. On a diagonal quadric in dense variables. Glasg. Math. J. , 56(3):601–628, 2014.
- 8[8] R. Kleinberg, W. F. Sawin, and D. E. Speyer. The Growth Rate of Tri-Colored Sum-Free Sets. Ar Xiv e-prints , June 2016.
