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We have obtained the exact asymptotics of the determinant $\det_{1\leq r,s\leq L}[\binom{r+s-2}{r-1}+\exp(i\theta)\delta_{r,s}]$. Inverse symbolic computing methods were used to obtain exact analytical expressions for all terms up to…

Mathematical Physics · Physics 2008-11-15 Saibal Mitra

Dawar and Wilsenach (ICALP 2020) introduce the model of symmetric arithmetic circuits and show an exponential separation between the sizes of symmetric circuits for computing the determinant and the permanent. The symmetry restriction is…

Computational Complexity · Computer Science 2024-09-02 Anuj Dawar , Gregory Wilsenach

Deterministic black-box polynomial identity testing (PIT) for read-once oblivious algebraic branching programs (ROABPs) is a central open problem in algebraic complexity, particularly in the absence of variable ordering. Prior deterministic…

Computational Complexity · Computer Science 2026-02-17 Shalender Singh , Vishnupriya Singh

We present a structural resolution to the exact evaluation of the partition function $p_k(n)$, systematically overcoming the limitations of traditional recursive and asymptotic methods. By framing the partition polytope $\mathcal{P}_{n,k}$…

Combinatorics · Mathematics 2026-03-17 Antonio Bonelli

The problem of expressing a specific polynomial as the determinant of a square matrix of affine-linear forms arises from algebraic geometry, optimisation, complexity theory, and scientific computing. Motivated by recent developments in this…

Commutative Algebra · Mathematics 2023-09-18 Ada Boralevi , Jasper van Doornmalen , Jan Draisma , Michiel E. Hochstenbach , Bor Plestenjak

Calculating the permanent of a (0,1) matrix is a #P-complete problem but there are some classes of structured matrices for which the permanent is calculable in polynomial time. The most well-known example is the fixed-jump (0,1) circulant…

Combinatorics · Mathematics 2009-09-29 Mordecai J. Golin , Yiu Cho Leung , Yajun Wang

Arithmetic circuit complexity studies the complexity of computing polynomials using only arithmetic operations such as addition, multiplication, subtraction, and division. Polynomials over rings of integers model counting problems.…

Computational Complexity · Computer Science 2026-05-12 Balagopal Komarath , Harshil Mittal , Jayalal Sarma

Every real hyperbolic form in three variables can be realized as the determinant of a linear net of Hermitian matrices containing a positive definite matrix. Such representations are an algebraic certificate for the hyperbolicity of the…

Algebraic Geometry · Mathematics 2015-04-24 Daniel Plaumann , Rainer Sinn , David E. Speyer , Cynthia Vinzant

In this work, we study the computational complexity of quantum determinants, a $q$-deformation of matrix permanents: Given a complex number $q$ on the unit circle in the complex plane and an $n\times n$ matrix $X$, the $q$-permanent of $X$…

Computational Complexity · Computer Science 2023-02-17 Shih-Han Hung , En-Jui Kuo

A rational number can be naturally presented by an arithmetic computation (AC): a sequence of elementary arithmetic operations starting from a fixed constant, say 1. The asymptotic complexity issues of such a representation are studied e.g.…

Computational Complexity · Computer Science 2007-05-23 Sergey P. Tarasov , Mikhail N. Vyalyi

We exhibit an algorithm to compute the strongest polynomial (or algebraic) invariants that hold at each location of a given affine program (i.e., a program having only non-deterministic (as opposed to conditional) branching and all of whose…

Logic in Computer Science · Computer Science 2018-05-03 Ehud Hrushovski , Joël Ouaknine , Amaury Pouly , James Worrell

We introduce a variant of PCPs, that we refer to as rectangular PCPs, wherein proofs are thought of as square matrices, and the random coins used by the verifier can be partitioned into two disjoint sets, one determining the row of each…

Computational Complexity · Computer Science 2022-11-24 Amey Bhangale , Prahladh Harsha , Orr Paradise , Avishay Tal

We construct a deterministic approximation algorithm for computing a permanent of a $0,1$ $n$ by $n$ matrix to within a multiplicative factor $(1+\epsilon)^n$, for arbitrary $\epsilon>0$. When the graph underlying the matrix is a constant…

Combinatorics · Mathematics 2007-05-23 David Gamarnik , Dmitriy Katz

The paper addresses the calculation of correlation functions of permanental polynomials of matrices with random entries. By exploiting a convenient contour integral representation of the matrix permanent some explicit results are provided…

Mathematical Physics · Physics 2007-05-23 Yan V Fyodorov

We study robust Markov decision processes (RMDPs) with non-rectangular uncertainty sets, which capture interdependencies across states unlike traditional rectangular models. While non-rectangular robust policy evaluation is generally…

Artificial Intelligence · Computer Science 2025-02-14 Navdeep Kumar , Adarsh Gupta , Maxence Mohamed Elfatihi , Giorgia Ramponi , Kfir Yehuda Levy , Shie Mannor

Analytic combinatorics studies the asymptotic behaviour of sequences through the analytic properties of their generating functions. This article provides effective algorithms required for the study of analytic combinatorics in several…

Symbolic Computation · Computer Science 2016-05-03 Stephen Melczer , Bruno Salvy

Assuming the Generalised Riemann Hypothesis (GRH), we show that for all k, there exist polynomials with coefficients in $\MA$ having no arithmetic circuits of size O(n^k) over the complex field (allowing any complex constant). We also build…

Computational Complexity · Computer Science 2013-04-23 Hervé Fournier , Sylvain Perifel , Rémi de Verclos

The image of a polynomial map is a constructible set. While computing its closure is standard in computer algebra systems, a procedure for computing the constructible set itself is not. We provide a new algorithm, based on algebro-geometric…

Algebraic Geometry · Mathematics 2019-10-16 Corey Harris , Mateusz Michałek , Emre Can Sertöz

We consider systems of polynomial equations and inequalities in $\mathbb{Q}[\boldsymbol{y}][\boldsymbol{x}]$ where $\boldsymbol{x} = (x_1, \ldots, x_n)$ and $\boldsymbol{y} = (y_1, \ldots,y_t)$. The $\boldsymbol{y}$ indeterminates are…

Symbolic Computation · Computer Science 2025-01-27 Louis Gaillard , Mohab Safey El Din

The dimension of partial derivatives (Nisan and Wigderson, 1997) is a popular measure for proving lower bounds in algebraic complexity. It is used to give strong lower bounds on the Waring decomposition of polynomials (called Waring rank).…

Computational Complexity · Computer Science 2024-07-16 Vishwas Bhargava , Anamay Tengse