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We build upon a recently introduced class of quasi-graph random features (q-GRFs), which have demonstrated the ability to yield lower variance estimators of the 2-regularized Laplacian kernel (Choromanski 2023). Our research investigates…

Machine Learning · Computer Science 2024-10-14 Brooke Feinberg , Aiwen Li

We study various mathematical aspects of discrete models on graphs, specifically the Dimer and the Ising models. We focus on proving gluing formulas for individual summands of the partition function. We also obtain partial results regarding…

Combinatorics · Mathematics 2011-10-30 Igor Kriz , Martin Loebl , Petr Somberg

We extend the formula for correlation functions of free scalar field theories and Dirac field theories in terms of quantum $A_{\infty}$ algebras presented in arXiv:2305.11634 to general scalar-Dirac systems. We obtain the result that the…

High Energy Physics - Theory · Physics 2024-11-26 Keisuke Konosu

Meson correlation functions are studied in the model with four-fermion interaction Lagrangian. We demonstrate that despite the singular character of system mean energy and corresponding quark condensate found out the meson observables are…

High Energy Physics - Phenomenology · Physics 2009-06-02 S. V. Molodtsov , M. K. Volkov , G. M. Zinovjev

We identify natural degrees of freedom of polycrystalline materials -- affine transformations of grains -- with those of a three-dimensional lattice theory for $(T\otimes\Omega)(\mathbb{R}^3)$. We define a lattice Dirac operator on this…

High Energy Physics - Theory · Physics 2007-05-23 I. Schmelzer

Dynkin's (Bull. Amer. Math. Soc. 3 (1980) 975-999) seminal work associates a multidimensional transient symmetric Markov process with a multidimensional Gaussian random field. This association, known as Dynkin's isomorphism, has profoundly…

Statistics Theory · Mathematics 2015-07-28 Debashis Mondal

In a series of publications of the second author, including some with coauthors, globally strictly convex Tikhonov-like functionals were constructed for some nonlinear ill-posed problems. The main element of such a functional is the…

Analysis of PDEs · Mathematics 2016-08-10 Anatoly B. Bakushinskii , Michael V. Klibanov , Nikolaj A. Koshev

The Euclidian thermal Green function of the two-dimensional (2D) free massless scalar field in coordinate space is written as the real part of a complex analytic function of a variable that conformally maps the infinite strip…

High Energy Physics - Theory · Physics 2008-11-26 Leonardo Mondaini , E. C. Marino

Given a 0-dimensional scheme X in a n-dimensional projective space P^n_K over an arbitrary field K, we use Liaison theory to characterize the Cayley-Bacharach property of X. Our result extends the result for sets of K-rational points given…

Commutative Algebra · Mathematics 2019-04-02 Martin Kreuzer , Tran N. K. Linh , Le Ngoc Long , Nguyen Chanh Tu

Applying advances in exact computations of supersymmetric gauge theories, we study the structure of correlation functions in two-dimensional N=(2,2) Abelian and non-Abelian gauge theories. We determine universal relations among correlation…

High Energy Physics - Theory · Physics 2018-08-01 Andreas Gerhardus , Hans Jockers , Urmi Ninad

We reformulate time evolution of systems in mixed states in terms of the classical observables of correlators using the Weyl correspondence rule. The resulting equation of motion for the Wigner functional of the density matrix is found to…

High Energy Physics - Theory · Physics 2007-05-23 Herbert Nachbagauer

In this article, we study the continuous correlations of the near-critical Ising model in two dimensions with plus boundary conditions, and prove that doubled correlation functions of primary fields (spin, disorder, fermions, energy) in the…

Mathematical Physics · Physics 2025-12-15 S. C. Park , Tuomas Virtanen , Christian Webb

We uncover a combinatorial structure governing the differential equations satisfied by wavefunction coefficients of scalar fields with generic masses in de Sitter space. Using an integral representation of the massive mode functions, we…

High Energy Physics - Theory · Physics 2026-04-13 Daniel Baumann , Austin Joyce , Hayden Lee , Kamran Salehi Vaziri

We derive non-linear differential equations for correlation functions of U(1) twist fields in the two-dimensional massive Dirac theory. Primary U(1) twist fields correspond to exponential fields in the sine-Gordon model at the free-fermion…

High Energy Physics - Theory · Physics 2011-06-21 Benjamin Doyon , James Silk

Determinantal point processes are characterized by a special structural property of the correlation functions: they are given by minors of a correlation kernel. However, unlike the correlation functions themselves, this kernel is not…

Probability · Mathematics 2022-06-15 Grigori Olshanski

We consider a class of constant-coefficient partial differential operators on a finite-dimensional real vector space which exhibit a natural dilation invariance. Typically, these operators are anisotropic, allowing for different degrees in…

Analysis of PDEs · Mathematics 2020-01-22 Evan Randles , Laurent Saloff-Coste

We study free scalar field theory on a graph, which gives rise to a modified version of discrete Green's function on a graph studied in \cite{CY}. We show that this gives rise to a graph invariant, which is closely related to the 2-dim…

Combinatorics · Mathematics 2015-06-18 An Huang , Shing-Tung Yau , Mei-Heng Yueh

Dyson's short-distance universality of the correlation functions implies the universality of P(s), the level-spacing distribution. We first briefly review how this property is understood for unitary invariant ensembles and consider next a…

Mesoscale and Nanoscale Physics · Physics 2009-10-30 E. Brezin , S. Hikami

We solve a family of Gaussian two-matrix models with rectangular Nx(N+v) matrices, having real asymmetric matrix elements and depending on a non-Hermiticity parameter mu. Our model can be thought of as the chiral extension of the real…

High Energy Physics - Theory · Physics 2010-05-07 G. Akemann , M. J. Phillips , H. -J. Sommers

This paper is an attempt to bridge the conceptual gaps between researchers working on the two widely used approaches based on positive definite kernels: Bayesian learning or inference using Gaussian processes on the one side, and…

Machine Learning · Statistics 2018-07-10 Motonobu Kanagawa , Philipp Hennig , Dino Sejdinovic , Bharath K Sriperumbudur