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In model-based reinforcement learning, the transition matrix and reward vector are often estimated from random samples subject to noise. Even if the estimated model is an unbiased estimate of the true underlying model, the value function…

Machine Learning · Computer Science 2023-02-09 Xun Tang , Lexing Ying , Yuhua Zhu

In this paper we provide a step towards the understanding of the O($n$) bulk operator algebra. By using a mixture of analytical and numerical methods, we compute (ratios of) structure constants, and analyse the logarithmic structure of the…

Mathematical Physics · Physics 2015-05-05 Benoit Estienne , Yacine Ikhlef

A linear-scaling algorithm is presented for computing the Hartree-Fock (HF) exchange matrix using concentric atomic density fitting. The algorithm utilizes the stronger distance dependence of the three-center electron repulsion integrals…

Chemical Physics · Physics 2014-10-21 David S. Hollman , Henry F. Schaefer , Edward F. Valeev

In 1994, Talagrand showed a generalization of the celebrated KKL theorem. In this work, we prove that the converse of this generalization also holds. Namely, for any sequence of numbers $0<a_1,a_2,\ldots,a_n\le 1$ such that $\sum_{j=1}^n…

Discrete Mathematics · Computer Science 2015-06-24 Saleet Klein , Amit Levi , Muli Safra , Clara Shikhelman , Yinon Spinka

The primary goal of this paper is to provide a general multiplicity estimate. Our main theorem allows to reduce a proof of multiplicity lemma to the study of ideals stable under some appropriate transformation of a polynomial ring. In…

Number Theory · Mathematics 2012-11-02 Evgeniy Zorin

We study the most-informative Boolean function conjecture using a differential equation approach. This leads to a formulation of a functional inequality on finite-dimensional random variables. We also develop a similar inequality in the…

Information Theory · Computer Science 2025-02-17 Zijie Chen , Amin Gohari , Chandra Nair

Sign changes in sums of arithmetic functions and their inverses are a subtle topic with room to grow new results. Suppose that $S_f(x) := \sum_{n \leq x} f(n)$ is the summatory function of some arithmetic function $f$ such that $f(1) \neq…

Number Theory · Mathematics 2026-03-10 Maxie Dion Schmidt

Consider a_1,a_2,...,a_n, arbitrary elements of R. We characterize those real functions f that decompose into the sum of a_j-periodic functions, i.e., f=f_1+...+f_n with D_{a_j}f(x):=f(x+a_j)-f(x)=0. We show that f has such a decomposition…

Classical Analysis and ODEs · Mathematics 2007-05-25 Bálint Farkas , Viktor Harangi , Tamás Keleti , Szilárd Gy. Révész

The algebraic degree is an important parameter of Boolean functions used in cryptography. When a function in a large number of variables is not given explicitly in algebraic normal form, it might not be feasible to compute its degree.…

Cryptography and Security · Computer Science 2023-06-22 Ana Salagean , Percy Reyes-Paredes

We use spin-density-functional theory (SDFT) ab initio calculations to theoretically explore the possibility of achieving useful gate control over exchange coupling between cobalt clusters placed on a graphene sheet. By applying an electric…

Materials Science · Physics 2013-04-11 Hua Chen , Qian Niu , Zhenyu Zhang , Allan H. MacDonald

One matrix structure in the area of monotone Boolean functions is defined here. Some of its combinatorial, algebraic and algorithmic properties are derived. On the base of these properties, three algorithms are built. First of them…

Discrete Mathematics · Computer Science 2019-02-19 Valentin Bakoev

As for the Fourier transforms of positive and integrable functions supported in the unit interval, we make a list of improvements for P\'olya's results on the distribution of their positive zeros and give new sufficient conditions under…

Classical Analysis and ODEs · Mathematics 2021-10-06 Yong-Kum Cho , Young Woong Park

We perform accurate numerical experiments with fully-connected (FC) one-hidden layer neural networks trained with a discretized Langevin dynamics on the MNIST and CIFAR10 datasets. Our goal is to empirically determine the regimes of…

Disordered Systems and Neural Networks · Physics 2024-01-23 P. Baglioni , R. Pacelli , R. Aiudi , F. Di Renzo , A. Vezzani , R. Burioni , P. Rotondo

A mixed basis approach based on density functional theory is employed for low dimensional systems. The basis functions are taken to be plane waves for the periodic direction multiplied by B-spline polynomials in the non-periodic direction.…

Computational Physics · Physics 2015-05-20 Chung-Yuan Ren , Chen-Shiung Hsue , Yia-Chung Chang

We numerically investigate the Spin Density Functional theory for superconductors (SpinSCDFT) and the approximated exchange-correlation functional, derived and presented in the preceding paper I. As a test system we employ a free electron…

Superconductivity · Physics 2016-05-10 A. Linscheid , A. Sanna , E. K. U. Gross

We calculate the beta-functions for an open string sigma-model in the presence of a U(1) background. Passing to N=2 boundary superspace, in which the background is fully characterized by a scalar potential, significantly facilitates the…

High Energy Physics - Theory · Physics 2011-07-19 S. Nevens , A. Sevrin , W. Troost , A. Wijns

Thermal noise in a cellular automaton refers to a random perturbation to its function which eventually leads this automaton to an equilibrium state controlled by a temperature parameter. We study the 1-dimensional majority-3 cellular…

Statistical Mechanics · Physics 2015-06-17 Rémi Lemoy , Alexander Mozeika , Shinnosuke Seki

We investigate the expressive power of $\mathsf{MATLANG}$, a formal language for matrix manipulation based on common matrix operations and linear algebra. The language can be extended with the operation $\mathsf{inv}$ of inverting a matrix.…

Databases · Computer Science 2017-09-26 Robert Brijder , Floris Geerts , Jan Van den Bussche , Timmy Weerwag

We present a general theory of the magnetic susceptibility of insulators that can be extended to treat spatially varying and finite frequency fields. While there are existing results in the literature for the zero frequency response that…

Mesoscale and Nanoscale Physics · Physics 2025-04-04 Alistair H. Duff , Aidan Lau , J. E. Sipe

Given a Boolean function $f:\{0,1\}^n\to\{0,1\}$, the goal in the usual query model is to compute $f$ on an unknown input $x \in \{0,1\}^n$ while minimizing the number of queries to $x$. One can also consider a "distinguishing" problem…

Quantum Physics · Physics 2024-08-23 Arjan Cornelissen , Nikhil S. Mande , Subhasree Patro