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Let $q, m\geq 2$ be integers with $(m,q-1)=1$. Denote by $s_q(n)$ the sum of digits of $n$ in the $q$-ary digital expansion. Further let $p(x)\in mathbb{Z}[x]$ be a polynomial of degree $h\geq 3$ with $p(\mathbb{N})\subset \mathbb{N}$. We…

Number Theory · Mathematics 2011-10-24 Thomas Stoll

We give a sharp lower bound on the capacity of a real stable polynomial, depending only on the value of its gradient at $x = 1$. This result implies a sharp improvement to a similar inequality proved by Linial-Samorodnitsky-Wigderson in…

Combinatorics · Mathematics 2022-09-23 Leonid Gurvits , Jonathan Leake

Let A \subseteq [1,..,N]^2 be a set of cardinality at least N^2/(log log N)^c, where c>0 is an absolute constant. We prove that A contains a triple {(k,m), (k+d,m), (k,m+d)}, where d>0. This theorem is a two-dimensional generalization of…

Number Theory · Mathematics 2007-05-23 I. D. Shkredov

Let $r_k(n)$ denote the maximum cardinality of a set $A \subset \{1,2, \dots, n \}$ such that $A$ does not contain a $k$-term arithmetic progression. In this paper, we give a method of constructing such a set and prove the lower bound…

Combinatorics · Mathematics 2017-11-21 Vladislav Taranchuk

We give a new proof of logarithmic bounds for Roth's theorem on arithmetic progressions, namely that if $A \subset \{1,2,\ldots,N\}$ is free of three-term progressions, then $\lvert A\rvert \leq N/(\log N)^{1-o(1)}$. Unlike previous proofs,…

Combinatorics · Mathematics 2019-05-10 Thomas F. Bloom , Olof Sisask

We prove an asymptotically tight bound (asymptotic with respect to the number of polynomials for fixed degrees and number of variables) on the number of semi-algebraically connected components of the realizations of all realizable sign…

Combinatorics · Mathematics 2009-07-14 Saugata Basu , Richard Pollack , Marie-Francoise Roy

Classical results of Brent, Kuck and Maruyama (IEEE Trans. Computers 1973) and Brent (JACM 1974) show that any algebraic formula of size s can be converted to one of depth O(log s) with only a polynomial blow-up in size. In this paper, we…

Computational Complexity · Computer Science 2023-02-15 Hervé Fournier , Nutan Limaye , Guillaume Malod , Srikanth Srinivasan , Sébastien Tavenas

We prove new bounds on the Betti numbers of real varieties and semi-algebraic sets that have a more refined dependence on the degrees of the polynomials defining them than results known before. Our method also unifies several different…

Algebraic Geometry · Mathematics 2017-11-06 Saugata Basu , Anthony Rizzie

The approximate degree of a Boolean function $f(x_{1},x_{2},\ldots,x_{n})$ is the minimum degree of a real polynomial that approximates $f$ pointwise within $1/3$. Upper bounds on approximate degree have a variety of applications in…

Computational Complexity · Computer Science 2018-01-16 Alexander A. Sherstov

It has been known for almost three decades that many $\mathrm{NP}$-hard optimization problems can be solved in polynomial time when restricted to structures of constant treewidth. In this work we provide the first extension of such results…

Computational Complexity · Computer Science 2016-02-09 Mateus de Oliveira Oliveira

We prove a variant of the multidimensional polynomial Szemer\'edi theorem of Bergelson and Leibman where one replaces polynomial sequences with other sparse sequences defined by functions that belong to some Hardy field and satisfy certain…

Dynamical Systems · Mathematics 2012-02-23 Nikos Frantzikinakis

Let $A$ be a subset of positive relative upper density of $\PP^d$, the $d$-tuples of primes. We prove that $A$ contains an affine copy of any finite set $F\subs\Z^d$, which provides a natural multi-dimensional extension of the theorem of…

Number Theory · Mathematics 2023-09-12 Brian Cook , Ákos Magyar , Tatchai Titichetrakun

We study a (1+1)-dimensional directed polymer in a random environment on the integer lattice with log-gamma distributed weights. Among directed polymers, this model is special in the same way as the last-passage percolation model with…

Probability · Mathematics 2015-08-28 Timo Seppäläinen

We prove quantitative estimates for averages of the von Mangoldt and M\"obius functions along polynomial progressions $n+P_1(m),\ldots, n+P_k(m)$ for a large class of polynomials $P_i$. The error terms obtained save an arbitrary power of…

Number Theory · Mathematics 2024-10-17 Lilian Matthiesen , Joni Teräväinen , Mengdi Wang

We investigate gaps of $n$-term arithmetic progressions $x, x+y, \ldots, x+(n-1)y$ inside a positive measure subset $A$ of the unit cube $[0,1]^d$. If lengths of their gaps $y$ are evaluated in the $\ell^p$-norm for any $p$ other than $1,…

Classical Analysis and ODEs · Mathematics 2022-04-27 Polona Durcik , Vjekoslav Kovač

In analogy with the regularity lemma of Szemer\'edi, regularity lemmas for polynomials shown by Green and Tao (Contrib. Discrete Math. 2009) and by Kaufman and Lovett (FOCS 2008) modify a given collection of polynomials \calF =…

Computational Complexity · Computer Science 2013-11-21 Arnab Bhattacharyya , Pooya Hatami , Madhur Tulsiani

We derive explicit upper bounds for various functions counting primes in arithmetic progressions. By way of example, if $q$ and $a$ are integers with $\gcd(a,q)=1$ and $3 \leq q \leq 10^5$, and $\theta(x;q,a)$ denotes the sum of the…

Number Theory · Mathematics 2018-11-29 Michael A. Bennett , Greg Martin , Kevin O'Bryant , Andrew Rechnitzer

We present several results on the complexity of various forms of Sperner's Lemma in the black-box model of computing. We give a deterministic algorithm for Sperner problems over pseudo-manifolds of arbitrary dimension. The query complexity…

Quantum Physics · Physics 2007-05-23 Katalin Friedl , Gabor Ivanyos , Miklos Santha , Yves F. Verhoeven

We show that there is a defining equation of degree at most $\mathsf{poly}(n)$ for the (Zariski closure of the) set of the non-rigid matrices: that is, we show that for every large enough field $\mathbb{F}$, there is a non-zero…

Computational Complexity · Computer Science 2020-11-06 Mrinal Kumar , Ben Lee Volk

We prove the first superpolynomial lower bounds for learning one-layer neural networks with respect to the Gaussian distribution using gradient descent. We show that any classifier trained using gradient descent with respect to square-loss…

Machine Learning · Computer Science 2020-10-26 Surbhi Goel , Aravind Gollakota , Zhihan Jin , Sushrut Karmalkar , Adam Klivans
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