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Many statistical problems involve the estimation of a $\left(d\times d\right)$ orthogonal matrix $\textbf{Q}$. Such an estimation is often challenging due to the orthonormality constraints on $\textbf{Q}$. To cope with this problem, we…

Methodology · Statistics 2019-06-04 Luca Bagnato , Antonio Punzo

We study finite memory belief approximation for partially observable (PO) stochastic optimal control (SOC) problems. While belief states are sufficient for SOC in partially observable Markov decision processes (POMDPs), they are generally…

Systems and Control · Electrical Eng. & Systems 2026-01-07 Mintae Kim

Using Monte Carlo simulations, we consider the lattice version of the $O(N)\otimes O(M)$ sigma model for $2\leq M\leq4$ and $M\leq N \leq8$. We find a continuous transition for $N\geq M+4$. Estimates of the critical exponents for cases of…

High Energy Physics - Lattice · Physics 2022-05-17 A. O. Sorokin

We consider the hermitian matrix model with an external field entering the quadratic term $\tr(\Lambda X\Lambda X)$ and Penner--like interaction term $\alpha N(\log(1+X)-X)$. An explicit solution in the leading order in $N$ is presented.…

High Energy Physics - Theory · Physics 2015-06-26 L. Chekhov , Yu. Makeenko

We present a new method for compressing matrix product operators (MPOs) which represent sums of local terms, such as Hamiltonians. Just as with area law states, such local operators may be fully specified with a small amount of information…

Strongly Correlated Electrons · Physics 2020-09-22 Daniel E. Parker , Xiangyu Cao , Michael P. Zaletel

Let $(u,p)$ solve the incompressible Navier--Stokes equations in a regime in which an energy inequality is available and each constant in that inequality is computable from declared data. We construct a reduced-order model $u_n$ constrained…

Numerical Analysis · Mathematics 2026-02-18 Chandrasekhar Gokavarapu , Naveen Kumar Kakumanu , Anjali Datla , Githa Harshitha Noolu

We present a numerical study of 2D random-bond Potts ferromagnets. The model is studied both below and above the critical value $Q_c=4$ which discriminates between second and first-order transitions in the pure system. Two geometries are…

Statistical Mechanics · Physics 2009-10-31 Christophe Chatelain , Bertrand Berche

Typical behavior of the linear programming (LP) problem is studied as a relaxation of the minimum vertex cover, a type of integer programming (IP) problem. A lattice-gas model on the Erd\"os-R\'enyi random graphs of $\alpha$-uniform…

Disordered Systems and Neural Networks · Physics 2016-06-01 Satoshi Takabe , Koji Hukushima

We introduce an approach to find approximate numerical solutions of truncated bootstrap equations for Conformal Field Theories (CFTs) in arbitrary dimensions. The method is based on a stochastic search via a Metropolis algorithm guided by…

High Energy Physics - Theory · Physics 2022-08-17 Alessandro Laio , Uriel Luviano Valenzuela , Marco Serone

The minimal representation $\pi$ of the indefinite orthogonal group $O(m+1,2)$ is realized on the Hilbert space of square integrable functions on $\mathbb R^m$ with respect to the measure $|x|^{-1} dx_1... dx_m$. This article gives an…

Representation Theory · Mathematics 2011-06-23 Toshiyuki Kobayashi , Gen Mano

The analysis of correlation function data obtained by Monte Carlo simulations of the two-dimensional 4-state Potts model, XY model, and self-dual disordered Ising model at criticality are presented. We study the logarithmic corrections to…

Statistical Mechanics · Physics 2009-11-10 Bertrand Berche , Lev Shchur

Let $m\ge 2$ be an integer, $K$ an algebraic number field and $\alpha\in K\setminus \{0,-1\}$ with sufficiently small absolute value. In this article, we provide a new lower bound for linear form in…

Number Theory · Mathematics 2019-04-04 Makoto Kawashima

We present new $L^\infty$ a priori estimates for weak solutions of a wide class of subcritical $p$-laplacian equations in bounded domains. No hypotheses on the sign of the solutions, neither of the non-linearities are required. This method…

Analysis of PDEs · Mathematics 2022-09-15 Rosa Pardo

Random constraint satisfaction problems (CSPs) such as random $3$-SAT are conjectured to be computationally intractable. The average case hardness of random $3$-SAT and other CSPs has broad and far-reaching implications on problems in…

Computational Complexity · Computer Science 2019-11-11 Jonah Brown-Cohen , Prasad Raghavendra

Monte Carlo (MC) simulations have been performed to refine the estimation of the correction-to-scaling exponent $\omega$ in the 2D $\varphi^4$ model, which belongs to one of the most fundamental universality classes. If corrections have the…

Statistical Mechanics · Physics 2025-04-08 Jevgenijs Kaupuzs , Roderick Melnik

We consider the MIN-r-LIN(R) problem: given a system S of length-r linear equations over a ring R, find a subset of equations Z of minimum cardinality such that S-Z is satisfiable. The problem is NP-hard and UGC-hard to approximate within…

Data Structures and Algorithms · Computer Science 2024-11-20 Konrad K. Dabrowski , Peter Jonsson , Sebastian Ordyniak , George Osipov , Magnus Wahlström

A quantitative regularity theory is developed for weak solutions to the parabolic system $$ \partial_t u-\mathrm{div}\,{\boldsymbol{\mathsf A}}(x,t,Du)=0 \quad\text{in }E_T\subset \mathbb{R}^N\times\mathbb{R}, $$ which features the…

Analysis of PDEs · Mathematics 2026-01-14 Verena Bögelein , Frank Duzaar , Ugo Gianazza , Naian Liao

We describe a general way of constructing integrable defect theories as perturbations of conformal field theory by local defect operators. The method relies on folding the system onto a boundary field theory of twice the central charge. The…

High Energy Physics - Theory · Physics 2014-11-18 A. LeClair , A. W. W. Ludwig

The paper concerns the $d$-dimensional stochastic approximation recursion, $$ \theta_{n+1}= \theta_n + \alpha_{n + 1} f(\theta_n, \Phi_{n+1}) $$ where $ \{ \Phi_n \}$ is a stochastic process on a general state space, satisfying a…

Statistics Theory · Mathematics 2024-11-18 Vivek Borkar , Shuhang Chen , Adithya Devraj , Ioannis Kontoyiannis , Sean Meyn

We give improved algorithms for the $\ell_{p}$-regression problem, $\min_{x} \|x\|_{p}$ such that $A x=b,$ for all $p \in (1,2) \cup (2,\infty).$ Our algorithms obtain a high accuracy solution in $\tilde{O}_{p}(m^{\frac{|p-2|}{2p + |p-2|}})…

Data Structures and Algorithms · Computer Science 2024-12-20 Deeksha Adil , Rasmus Kyng , Richard Peng , Sushant Sachdeva
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