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Polynomial inequalities lie at the heart of many mathematical disciplines. In this paper, we consider the fundamental computational task of automatically searching for proofs of polynomial inequalities. We adopt the framework of…

Machine Learning · Computer Science 2019-06-06 Alhussein Fawzi , Mateusz Malinowski , Hamza Fawzi , Omar Fawzi

Cluster algebras are a recent topic of study and have been shown to be a useful tool to characterize structures in several knowledge fields. An important problem is to establish whether or not a given cluster algebra is of finite type.…

Commutative Algebra · Mathematics 2015-07-15 Elisângela Silva Dias , Diane Castonguay

Recently, it has been observed that a sparse trigonometric polynomial, i.e. having only a small number of non-zero coefficients, can be reconstructed exactly from a small number of random samples using Basis Pursuit (BP) or Orthogonal…

Numerical Analysis · Mathematics 2008-04-06 Holger Rauhut

We study polynomial systems with prescribed monomial supports in the Cox rings of toric varieties built from complete polyhedral fans. We present combinatorial formulas for the dimensions of their associated subvarieties under genericity…

Symbolic Computation · Computer Science 2024-02-21 Matías Bender , Pierre-Jean Spaenlehauer

We propose a general methodology for testing whether a given polynomial with integer coefficients is identically zero. The methodology evaluates the polynomial at efficiently computable approximations of suitable irrational points. In…

Data Structures and Algorithms · Computer Science 2007-05-23 Zhi-Zhong Chen , Ming-Yang Kao

We study global distribution of zeros for a wide range of ensembles of random polynomials. Two main directions are related to almost sure limits of the zero counting measures, and to quantitative results on the expected number of zeros in…

Probability · Mathematics 2015-05-19 Igor E. Pritsker

This report answers queries about extending the blinding index approach to a situation with measurements at multiple time points. The key question is how to test if there is progressive unblinding. A related question is how to apportion…

Applications · Statistics 2018-06-13 Anil Gore , Sharayu Paranjpe

Here the polynomial interpolation approach is used to introduce the main results on multivariate normal algebraic systems. Next we bring a construction which shows that any standard algebraic system, with finite set of solutions, can be…

Numerical Analysis · Mathematics 2025-10-20 H. Hakopian

We consider each of the three classes of representations of cyclic groups that arise in the study of rational sphere maps. We study the possible number of terms for invariant polynomials with non-negative coefficients that are constant on…

Complex Variables · Mathematics 2025-12-08 John P. D'Angelo , Dusty E. Grundmeier , Daniel A. Lichtblau

We consider linear sparse recovery problems where additional structure regarding the support of the solution is known. The form of the structure considered is non-overlapping sets of indices that each contain part of the support. An…

Numerical Analysis · Mathematics 2021-10-05 Joseph S. Donato , Howard W. Levinson

We take the trace of Von-Neumann's ergodic theorem and get a trace formula of a unitary matrix family. It is an extension of Poisson summation formula in higher dimension. We also construct a family of crystalline measure with complex…

Mathematical Physics · Physics 2025-05-22 Tianhong Zhao

Certificates to a linear algebra computation are additional data structures for each output, which can be used by a-possibly randomized- verification algorithm that proves the correctness of each output. Wiede-mann's algorithm projects the…

Symbolic Computation · Computer Science 2015-07-07 Jean-Guillaume Dumas , Erich Kaltofen , Emmanuel Thomé

We propose a novel method for establishing the sparsity of the coefficients of the Laguerre generalized polynomial chaos expansion of solutions to parametric elliptic PDEs with log-gamma inputs on $\mathbb{R}_+^\infty$. The established…

Numerical Analysis · Mathematics 2026-03-17 Dinh Dũng , Van Kien Nguyen , Viet Ha Hoang

The study of substructures in random objects has a long history, beginning with Erd\H{o}s and R\'enyi's work on subgraphs of random graphs. We study the existence of certain substructures in random subsets of vector spaces over finite…

Combinatorics · Mathematics 2020-04-02 Changhao Chen , Catherine Greenhill

We survey recent progress in the proof complexity of strong proof systems and its connection to algebraic circuit complexity, showing how the synergy between the two gives rise to new approaches to fundamental open questions, solutions to…

Computational Complexity · Computer Science 2016-07-05 Tonnian Pitassi , Iddo Tzameret

The technique of degree of randomness is used to model the correlations in sequences containing various subsignals and noise. Kolmogorov stochasticity parameter enables to quantify the randomness in number sequences and hence appears as an…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-03 S. Sargsyan

We investigate the use of piecewise linear systems, whose coefficient matrix is a piecewise constant function of the solution itself. Such systems arise, for example, from the numerical solution of linear complementarity problems and in the…

Numerical Analysis · Mathematics 2012-06-21 Luigi Brugnano , Alessandra Sestini

In this short paper, we give a complete and affirmative answer to a conjecture on matrix trace inequalities for the sum of positive semidefinite matrices. We also apply the obtained inequality to derive a kind of generalized Golden-Thompson…

Functional Analysis · Mathematics 2010-08-23 Shigeru Furuichi , Minghua Lin

In this article we study the limiting empirical measure of zeros of higher derivatives for sequences of random polynomials. We show that these measures agree with the limiting empirical measure of zeros of corresponding random polynomials.…

Probability · Mathematics 2018-01-30 Sung-Soo Byun , Jaehun Lee , Tulasi Ram Reddy

The statistics of gap ratios between consecutive energy levels is a widely used tool, in particular in the context of many-body physics, to distinguish between chaotic and integrable systems, described respectively by Gaussian ensembles of…

Disordered Systems and Neural Networks · Physics 2022-02-28 Olivier Giraud , Nicolas Macé , Eric Vernier , Fabien Alet
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