English
Related papers

Related papers: Loop Vertex Representation for Cumulants, Part II:…

200 papers

Explicit models for the restricted conformal group of the Einstein static universe of dimension greater than two and for its universal covering group are constructed. Based on these models, as an application we determine all oriented and…

Differential Geometry · Mathematics 2021-01-01 Olimjon Eshkobilov , Emilio Musso , Lorenzo Nicolodi

We derive expressions for the probability distribution of the ratio of two consecutive level spacings for the classical ensembles of random matrices. This ratio distribution was recently introduced to study spectral properties of many-body…

Mathematical Physics · Physics 2013-02-27 Y. Y. Atas , E. Bogomolny , O. Giraud , G. Roux

We consider random matrices that have invariance properties under the action of unitary groups (either a left-right invariance, or a conjugacy invariance), and we give formulas for moments in terms of functions of eigenvalues. Our main tool…

Statistics Theory · Mathematics 2016-09-06 Benoit Collins , Sho Matsumoto , Nadia Saad

Motivated by the success of the non-commutative scalar Grosse-Wulkenhaar model, a non-commutative U(1) gauge field theory including an oscillator-like term in the action has been put forward in arXiv:0705.4205. The aim of the current work…

High Energy Physics - Theory · Physics 2014-11-20 Daniel N. Blaschke , Harald Grosse , Erwin Kronberger , Manfred Schweda , Michael Wohlgenannt

We present a simple way to quantize the well-known Margulis expander map. The result is a quantum expander which acts on discrete Wigner functions in the same way the classical Margulis expander acts on probability distributions. The…

Quantum Physics · Physics 2008-05-29 D. Gross , J. Eisert

A stationary random sequence admits under some assumptions a representation as the sum of two others: one of them is a martingale difference sequence, and another is a so-called coboundary. Such a representation can be used for proving some…

Probability · Mathematics 2008-12-24 Mikhail Gordin

We introduce a random matrix model for the stationary covariance of multivariate Ornstein-Uhlenbeck processes with heterogeneous temperatures, where the covariance is constrained by the Sylvester-Lyapunov equation. Using the replica method,…

Disordered Systems and Neural Networks · Physics 2025-01-30 Leonardo Ferreira , Fernando Metz , Paolo Barucca

We study a connection between random tensors and random matrices through $U(\tau)$ matrix models which generate fully packed, oriented loops on random surfaces. The latter are found to be in bijection with a set of regular edge-colored…

High Energy Physics - Theory · Physics 2014-11-27 Valentin Bonzom , Frédéric Combes

Identifying structural parameters in linear simultaneous-equation models is a longstanding challenge. Recent work exploits information in higher-order moments of non-Gaussian data. In this literature, the structural errors are typically…

Econometrics · Economics 2025-09-11 Ziyu Jiang

We introduce $R$-diagonal and even operators of second order. We give a formula for the second order free cumulants of the square $x^2$ of a second order even element in terms of the second order free cumulants of $x$. Similar formulas are…

Operator Algebras · Mathematics 2023-08-22 Octavio Arizmendi , James A. Mingo

Weingarten functions provide a tool for computing Haar measure matrix integrals of polynomials in the matrix entries. An important property of Weingarten functions, is their particularly simple large $N$ limits. In 2017 Benoit Collins and…

Probability · Mathematics 2026-01-08 Ron Nissim

In this paper, we provide a framework of estimates for describing 2D scaling limits by Schramm's SLE curves. In particular, we show that a weak estimate on the probability of an annulus crossing implies that a random curve arising from a…

Mathematical Physics · Physics 2015-06-15 Antti Kemppainen , Stanislav Smirnov

We consider a one-dimensional harmonic oscillator with a random frequency, focusing on both the standard and the generalized Lyapunov exponents, $\lambda$ and $\lambda^\star$ respectively. We discuss the numerical difficulties that arise in…

Statistical Mechanics · Physics 2015-05-19 C. Anteneodo , R. O. Vallejos

Recent analyses suggest that in TeV scales that will be made accessible at the LHC copious amounts of color scalar parton bound states may be produced. Would this be the case, the scalars would leave long enough to interact and this could…

High Energy Physics - Phenomenology · Physics 2009-10-30 P. Rembiesa

We present a method for calculating the full counting statistics of a nonequilibrium quantum system based on the propagator noncrossing approximation (NCA). This numerically inexpensive method can provide higher order cumulants for extended…

Mesoscale and Nanoscale Physics · Physics 2021-04-07 André Erpenbeck , Emanuel Gull , Guy Cohen

Recently, a convergent series employing a non-Gaussian initial approximation was constructed and shown to be an effective computational tool for the finite size lattice models with a polynomial interaction. Here we numerically examine the…

High Energy Physics - Lattice · Physics 2019-09-04 Aleksandr Ivanov , Vasily Sazonov

Three loop ladder and $V$-topology diagrams contributing to the massive operator matrix element $A_{Qg}$ are calculated. The corresponding objects can all be expressed in terms of nested sums and recurrences depending on the Mellin variable…

High Energy Physics - Phenomenology · Physics 2016-04-20 J. Ablinger , A. Behring , J. Blümlein , A. De Freitas , A. von Manteuffel , C. Schneider

We give an overview of the recursive characterisations of random matrix ensembles that are currently at the forefront of random matrix theory by way of studying two classes of ensembles using two different types of recursive schemes:…

Mathematical Physics · Physics 2023-01-30 Anas A. Rahman

We propose a flexible approach for computing the resolvent of the sum of weakly monotone operators in real Hilbert spaces. This relies on splitting methods where strong convergence is guaranteed. We also prove linear convergence under…

Optimization and Control · Mathematics 2018-09-12 Minh N. Dao , Hung M. Phan

Shape derivative is an important analytical tool for studying scattering problems involving perturbations in scatterers. Many applications, including inverse scattering, optimal design, and uncertainty quantification, are based on shape…

Numerical Analysis · Mathematics 2025-04-23 Gang Bao , Jun Lai , Haoran Ma