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We present an implementation of the method of orthogonal polynomials which is particularly suitable to study the partition functions of Penner random matrix models, to obtain their explicit forms in the exactly solvable cases, and to…

Mathematical Physics · Physics 2014-07-24 Gabriel Álvarez , Luis Martínez Alonso , Elena Medina

In this paper, a systematic approach is developed to embed the dynamical description of a nonlinear system into a linear parameter-varying (LPV) system representation. Initially, the nonlinear functions in the model representation are…

Systems and Control · Electrical Eng. & Systems 2020-11-09 Arash Sadeghzadeh , Roland Toth

We find the analytic expression of the trace of powers of the reduced density matrix on an interval of length L, for a massive boson field in 1+1 dimensions. This is given exactly (except for a non universal factor) in terms of a finite sum…

Other Condensed Matter · Physics 2011-02-16 H. Casini , M. Huerta

It has been known for some time that a hermitian matrix model with a Penner-like potential yields as its large-N free energy the prepotential of N=2 N_f=2 SU(2) SUSY gauge theory. We give a rigorous proof that a unitary matrix model with…

High Energy Physics - Theory · Physics 2020-01-08 Shun'ya Mizoguchi , Hajime Otsuka , Hitomi Tashiro

We derive a formula connecting the derivatives of parallel section functions of an origin-symmetric star body in R^n with the Fourier transform of powers of the radial function of the body. A parallel section function (or (n-1)-dimensional…

Metric Geometry · Mathematics 2016-09-07 Richard J. Gardner , Alexander Koldobsky , Thomas Schlumprecht

Using techniques of conformal bootstrap, we propose analytical expressions for a large class of two-point functions of bulk fields in critical loop models defined on the upper-half plane. Our results include the two-point connectivities in…

Mathematical Physics · Physics 2026-02-13 Max Downing , Jesper Lykke Jacobsen , Rongvoram Nivesvivat , Hubert Saleur

We introduce the concept of Hamiltonian potential variables to map Hamiltonian operators into symplectic operators in a dual space. This generalises the classical trick of switching to a potential variable to obtain a Lagrangian density for…

Exactly Solvable and Integrable Systems · Physics 2026-04-22 Pierandrea Vergallo , Mats Vermeeren

We analyze confining mechanisms for L\'{e}vy flights. When they evolve in suitable external potentials their variance may exist and show signatures of a superdiffusive transport. Two classes of stochastic jump - type processes are…

Statistical Mechanics · Physics 2015-05-13 Piotr Garbaczewski , Vladimir Stephanovich

We introduce a fast algorithm for computing volume potentials - that is, the convolution of a translation invariant, free-space Green's function with a compactly supported source distribution defined on a uniform grid. The algorithm relies…

Numerical Analysis · Mathematics 2016-08-24 Felipe Vico , Leslie Greengard , Miguel Ferrando

The density-density correlation function of the Calogero-Sutherland model is represented as a Fourier transformation of the correlation function of bosonic exponents in the Gaussian model on a curved manifold.

Condensed Matter · Physics 2007-05-23 A. M. Tsvelik

The Fourier coefficients F(t) of a function f on a compact symmetric space U/K are given by integration of f against matrix coefficients of irreducible representations of U. The coefficients depend on a spectral parameter t, which…

Representation Theory · Mathematics 2010-01-24 Gestur Olafsson , Henrik Schlichtkrull

We represent an algorithm allowing one to construct new classes of partially integrable multidimensional nonlinear partial differential equations (PDEs) starting with the special type of solutions to the (1+1)-dimensional hierarchy of…

Exactly Solvable and Integrable Systems · Physics 2015-05-13 A. I. Zenchuk

We consider a Hamiltonian $H$ which is the sum of a deterministic part $H_0$ and of a random potential $V$. For finite $N \times N$ matrices, following a method introduced by Kazakov, we derive a representation of the correlation functions…

Condensed Matter · Physics 2009-10-28 E. Brézin , S. Hikami

The Seiberg-Witten prepotentials for N=2 SUSY gauge theories with N_f<2N_c fundamental multiplets are obtained from conformal N_f=2N_c theory by decoupling 2N_c-N_f multiplets of heavy matter. This procedure can be lifted to the level of…

High Energy Physics - Theory · Physics 2009-12-04 A. Marshakov , A. Mironov , A. Morozov

This paper develops a multipole expansion method for the quasi-periodic elastic single layer potential $\mathcal{S}_D^{\alpha,0}$ associated with the Kelvin tensor in one-dimensional periodic arrays. A key step in this approach is the…

Analysis of PDEs · Mathematics 2026-05-21 Xin Feng

Random tensor models for a generic complex tensor generalize matrix models in arbitrary dimensions and yield a theory of random geometries. They support a 1/N expansion dominated by graphs of spherical topology. Their Schwinger Dyson…

High Energy Physics - Theory · Physics 2015-06-04 Razvan Gurau

Operator product expansion (OPE) of two operators in two-dimensional conformal field theory includes a sum over Virasoro descendants of other operator with universal coefficients, dictated exclusively by properties of the Virasoro algebra…

High Energy Physics - Theory · Physics 2011-04-07 A. Mironov , Al. Morozov , And. Morozov

We discuss the Penner-type matrix model which has been proposed to explain the AGT relation between the 2-dimensional Liouville theory and 4-dimensional N=2 superconformal gauge theories. In our previous communication we have obtained the…

High Energy Physics - Theory · Physics 2014-11-21 Tohru Eguchi , Kazunobu Maruyoshi

What is the connection of random matrices with integrable systems? Is this connection really useful? The answer to these questions leads to a new and unifying approach to the theory of random matrices. Introducing an appropriate time…

solv-int · Physics 2007-05-23 M. Adler , T. Shiota , P. van Moerbeke

In many practical applications including remote sensing, multi-task learning, and multi-spectrum imaging, data are described as a set of matrices sharing a common column space. We consider the joint estimation of such matrices from their…

Statistics Theory · Mathematics 2023-06-07 Rakshith S Srinivasa , Seonho Kim , Kiryung Lee