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In this article, we propose a geometric programming method in order to compute lower bounds for real polynomials. We provide new sufficient conditions for polynomials to be nonnegative as well as to have a sum of binomial squares…

Optimization and Control · Mathematics 2016-02-26 Sadik Iliman , Timo de Wolff

In this paper, we construct two classes of planar polynomial Hamiltonian systems having a center at the origin, and obtain the lower bounds for the number of critical periods for these systems. For polynomial potential systems of degree…

Dynamical Systems · Mathematics 2020-05-06 Xiuli Cen

We study how the complexity of modular circuits computing AND depends on the depth of the circuits and the prime factorization of the modulus they use. In particular our construction of subexponential circuits of depth 2 for AND helps us to…

Computational Complexity · Computer Science 2021-06-08 Paweł M. Idziak , Piotr Kawałek , Jacek Krzaczkowski

Kayal, Saha and Tavenas [Theory of Computing, 2018] showed that for all large enough integers $n$ and $d$ such that $d\geq \omega(\log{n})$, any syntactic depth four circuit of bounded individual degree $\delta = o(d)$ that computes the…

Computational Complexity · Computer Science 2021-07-21 Suryajith Chillara

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

Let $ACC \circ THR$ be the class of constant-depth circuits comprised of AND, OR, and MOD$m$ gates (for some constant $m > 1$), with a bottom layer of gates computing arbitrary linear threshold functions. This class of circuits can be seen…

Computational Complexity · Computer Science 2014-01-13 Ryan Williams

We prove a downward separation for $\mathsf{\Sigma}_2$-time classes. Specifically, we prove that if $\Sigma_2$E does not have polynomial size non-deterministic circuits, then $\Sigma_2$SubEXP does not have \textit{fixed} polynomial size…

Computational Complexity · Computer Science 2017-01-18 D. M. Stull

We compare ordinary and symmetric variants of two classical measures of pseudorandomness for binary sequences, the $2$-adic complexity and the linear complexity. In the periodic setting, we show that for binary periodic sequences…

Number Theory · Mathematics 2026-03-25 Yixin Ren , Arne Winterhof

We provide a list of new natural $\mathsf{VNP}$-intermediate polynomial families, based on basic (combinatorial) $\mathsf{NP}$-complete problems that are complete under parsimonious reductions. Over finite fields, these families are in…

Computational Complexity · Computer Science 2016-03-16 Meena Mahajan , Nitin Saurabh

The polynomial Szemer\'{e}di theorem implies that, for any $\delta \in (0,1)$, any family $\{P_1,\ldots, P_m\} \subset \mathbb{Z}[y]$ of nonconstant polynomials with constant term zero, and any sufficiently large $N$, every subset of…

Combinatorics · Mathematics 2025-03-21 Vitaly Bergelson , Andrew Best

The problems of determining the minimum-sized \emph{identifying}, \emph{locating-dominating} and \emph{open locating-dominating codes} of an input graph are special search problems that are challenging from both theoretical and…

Combinatorics · Mathematics 2026-04-08 Dipayan Chakraborty , Florent Foucaud , Aline Parreau , Annegret K. Wagler

This paper introduces a framework to study discrete optimization problems which are parametric in the following sense: their constraint matrices correspond to matrices over the ring $\mathbb{Z}[x]$ of polynomials in one variable. We…

Optimization and Control · Mathematics 2024-03-08 Marcel Celaya , Stefan Kuhlmann , Robert Weismantel

We study the problem of constructing explicit families of matrices which cannot be expressed as a product of a few sparse matrices. In addition to being a natural mathematical question on its own, this problem appears in various…

Computational Complexity · Computer Science 2019-04-03 Mrinal Kumar , Ben Lee Volk

The \emph{sum-of-squares (SoS) complexity} of a $d$-multiquadratic polynomial $f$ (quadratic in each of $d$ blocks of $n$ variables) is the minimum $s$ such that $f = \sum_{i=1}^s g_i^2$ with each $g_i$ $d$-multilinear. In the case $d=2$,…

Computational Complexity · Computer Science 2025-12-02 Benjamin Rossman , Davidson Zhu

Circuits play a fundamental role in polyhedral theory and linear programming. For instance, circuits are used as step directions in various augmentation schemes for solving linear programs or to leave degenerate vertices while running the…

Optimization and Control · Mathematics 2019-07-01 Steffen Borgwardt , Charles Viss

Given a directed graph, we show how to efficiently find a shortest (directed, simple) cycle on an even number of vertices. As far as we know, no polynomial-time algorithm was previously known for this problem. In fact, finding any even…

Data Structures and Algorithms · Computer Science 2021-11-05 Andreas Björklund , Thore Husfeldt , Petteri Kaski

Given an input matrix polynomial whose coefficients are floating point numbers, we consider the problem of finding the nearest matrix polynomial which has rank at most a specified value. This generalizes the problem of finding a nearest…

Symbolic Computation · Computer Science 2017-12-13 Mark Giesbrecht , Joseph Haraldson , George Labahn

In a recent paper by Harada, Seceleanu, and \c{S}ega, the Hilbert function, betti table, and graded minimal free resolution of a general principal symmetric ideal are determined when the number of variables in the polynomial ring is…

Commutative Algebra · Mathematics 2026-04-21 Noah Walker

A linear principal minor polynomial or lpm polynomial is a linear combination of principal minors of a symmetric matrix. By restricting to the diagonal, lpm polynomials are in bijection to multiaffine polynomials. We show that this…

Algebraic Geometry · Mathematics 2024-07-22 Grigoriy Blekherman , Mario Kummer , Raman Sanyal , Kevin Shu , Shengding Sun

We provide a generic technique for constructing families of submodular functions to obtain lower bounds for submodular function minimization (SFM). Applying this technique, we prove that any deterministic SFM algorithm on a ground set of…

Data Structures and Algorithms · Computer Science 2022-07-12 Deeparnab Chakrabarty , Andrei Graur , Haotian Jiang , Aaron Sidford