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This technical note is concerned with boundary stabilization of multi-dimensional discrete-velocity kinetic models. By exploiting a certain stability structure of the models and adapting an appropriate Lyapunov functional, we derive…

Optimization and Control · Mathematics 2025-02-24 Haitian Yang , Wen-An Yong

We introduce a subexponential algorithm for geometric solving of multivariate polynomial equation systems whose bit complexity depends mainly on intrinsic geometric invariants of the solution set. From this algorithm, we derive a new…

alg-geom · Mathematics 2008-02-03 M. Giusti , J. Heintz , K. Hägele , J. E. Morais , L. M. Pardo , J. L. Montaña

Let $f$ be a polynomial of degree $d$ in $n$ variables over a finite field $\mathbb{F}$. The polynomial is said to be unbiased if the distribution of $f(x)$ for a uniform input $x \in \mathbb{F}^n$ is close to the uniform distribution over…

Discrete Mathematics · Computer Science 2022-01-21 Abhishek Bhowmick , Shachar Lovett

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

In this paper we derive aggregate separation bounds, named after Davenport-Mahler-Mignotte (\dmm), on the isolated roots of polynomial systems, specifically on the minimum distance between any two such roots. The bounds exploit the…

Symbolic Computation · Computer Science 2010-07-26 Ioannis Z. Emiris , Bernard Mourrain , Elias Tsigaridas

We prove super-polynomial lower bounds for low-depth arithmetic circuits using the shifted partials measure [Gupta-Kamath-Kayal-Saptharishi, CCC 2013], [Kayal, ECCC 2012] and the affine projections of partials measure [Garg-Kayal-Saha, FOCS…

Computational Complexity · Computer Science 2022-11-16 Prashanth Amireddy , Ankit Garg , Neeraj Kayal , Chandan Saha , Bhargav Thankey

A new proof is given for the correctness of the powers of two descent method for computing discrete logarithms. The result is slightly stronger than the original work, but more importantly we provide a unified geometric argument,…

Number Theory · Mathematics 2019-02-13 Thorsten Kleinjung , Benjamin Wesolowski

The search for multivariate quadrature rules of minimal size with a specified polynomial accuracy has been the topic of many years of research. Finding such a rule allows accurate integration of moments, which play a central role in many…

Numerical Analysis · Mathematics 2021-05-04 John D. Jakeman , Akil Narayan

We establish new, and surprisingly tight, connections between propositional proof complexity and finite model theory. Specifically, we show that the power of several propositional proof systems, such as Horn resolution, bounded-width…

Logic in Computer Science · Computer Science 2023-06-22 Erich Grädel , Martin Grohe , Benedikt Pago , Wied Pakusa

In this paper we prove a characterization of continuity for polynomials on a normed space. Namely, we prove that a polynomial is continuous if and only if it maps compact sets into compact sets. We also provide a partial answer to the…

We prove that the most natural low-degree test for polynomials over finite fields is ``robust'' in the high-error regime for linear-sized fields. Specifically we consider the ``local'' agreement of a function $f: \mathbb{F}_q^m \to…

Computational Complexity · Computer Science 2023-11-22 Prahladh Harsha , Mrinal Kumar , Ramprasad Saptharishi , Madhu Sudan

Fomin and Villanger (STACS 2010) proved that Maximum Independent Set, Feedback Vertex Set, and more generally the problem of finding a maximum induced subgraph of treewith at most a constant $t$, can be solved in polynomial time on graph…

Data Structures and Algorithms · Computer Science 2016-07-18 Pedro Montealegre , Ioan Todinca

We present precise bit and degree estimates for the optimal value of the polynomial optimization problem $f^*:=\text{inf}_{x\in \mathscr{X}}~f(x)$, where $\mathscr{X}$ is a semi-algebraic set satisfying some non-degeneracy conditions. Our…

Optimization and Control · Mathematics 2024-07-25 Boulos El Hilany , Elias Tsigaridas

We introduce a new technique for reducing the dimension of the ambient space of low-degree polynomials in the Gaussian space while preserving their relative correlation structure, analogous to the Johnson-Lindenstrauss lemma. As…

Computational Complexity · Computer Science 2017-08-15 Badih Ghazi , Pritish Kamath , Prasad Raghavendra

By providing a new framework, we extend previous results on locally checkable problems in bounded treewidth graphs. As a consequence, we show how to solve, in polynomial time for bounded treewidth graphs, double Roman domination and Grundy…

Discrete Mathematics · Computer Science 2023-04-04 Flavia Bonomo-Braberman , Carolina Lucía Gonzalez

We give a sheaf theoretic interpretation of Potts models with external magnetic field, in terms of constructible sheaves and their Euler characteristics. We show that the polynomial countability question for the hypersurfaces defined by the…

Mathematical Physics · Physics 2015-12-09 Shival Dasu , Matilde Marcolli

We prove several results on the multiplier spectrum of polynomials. We provide a detailed proof of the theorem stating that the multiplier spectrum morphism is generically injective on the moduli space of polynomials. We obtain a…

Dynamical Systems · Mathematics 2026-02-06 Geng-Rui Zhang

We improve certain degree bounds for Grobner bases of polynomial ideals in generic position. We work exclusively in deterministically verifiable and achievable generic positions of a combinatorial nature, namely either strongly stable…

Symbolic Computation · Computer Science 2017-05-09 Amir Hashemi , Werner M. Seiler

Low-degree polynomials have emerged as a powerful paradigm for providing evidence of statistical-computational gaps across a variety of high-dimensional statistical models [Wein25]. For detection problems -- where the goal is to test a…

Machine Learning · Statistics 2026-01-06 Alexandra Carpentier , Simone Maria Giancola , Christophe Giraud , Nicolas Verzelen

We present an alternative view for the study of optimal control of partially observed Markov Decision Processes (POMDPs). We first revisit the traditional (and by now standard) separated-design method of reducing the problem to fully…

Optimization and Control · Mathematics 2024-12-20 Serdar Yüksel
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