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We study a 1 dimensional spin-orbital model using both analytical and numerical methods. Renormalization group calculations are performed in the vicinity of a special integrable point in the phase diagram with SU(4) symmetry. These indicate…

Strongly Correlated Electrons · Physics 2009-10-31 Chigak Itoi , Shaojin Qin , Ian Affleck

We study the triangular plaquette model (TPM, also known as the Newman-Moore model) in the presence of a transverse magnetic field on a lattice with periodic boundaries in both spatial dimensions. We consider specifically the approach to…

Statistical Mechanics · Physics 2025-07-31 Konstantinos Sfairopoulos , Luke Causer , Jamie F. Mair , Juan P. Garrahan

A new method to analytically determine the partition function zeroes of weakly coupled theories on finite-size lattices is developed. Applied to the lattice Schwinger model, this reveals the possible absence of a phase transition at fixed…

High Energy Physics - Lattice · Physics 2015-06-25 R. Kenna , C. Pinto , J. C. Sexton

We study the zero-temperature phase diagrams of Majorana-Hubbard models with SO($N$) symmetry on two-dimensional honeycomb and $\pi$-flux square lattices, using mean-field and renormalization group approaches. The models can be understood…

Strongly Correlated Electrons · Physics 2022-03-21 Lukas Janssen , Urban F. P. Seifert

We consider a nonlocal evolution equation representing the continuum limit of a large ensemble of interacting particles on graphs forced by noise. The two principle ingredients of the continuum model are a nonlocal term and Q-Wiener process…

Numerical Analysis · Mathematics 2022-04-05 Georgi Medvedev , Gideon Simpson

We study discrete period matrices associated with graphs cellularly embedded on closed surfaces, resembling classical period matrices of Riemann surfaces. Defined via integrals of discrete harmonic 1-forms, these period matrices are known…

Complex Variables · Mathematics 2026-02-04 Wai Yeung Lam , On-Hei Solomon Lo , Chi Ho Yuen

We present an exact formula for moments and cumulants of several real compound Wishart matrices in terms of an Euler characteristic expansion, similar to the genus expansion for complex random matrices. We consider their asymptotic values…

Probability · Mathematics 2015-03-25 C. Emily I. Redelmeier

In this study, we explore the application of the $\Gamma_{3}$ modular group, which is isomorphic to the $A_{4}$ symmetric group in developing a model for neutrino mass. We realized a non-supersymmetric left-right asymmetric model…

High Energy Physics - Phenomenology · Physics 2025-07-23 Bhabana Kumar , Mrinal Kumar Das

Irregular distribution in latent space causes posterior collapse, misalignment between posterior and prior, and ill-sampling problem in Variational Autoencoders (VAEs). In this paper, we introduce a novel adaptable three-stage Uniform…

Machine Learning · Computer Science 2024-07-04 Ye Shi , C. S. George Lee

In this review paper we consider the polynuclear growth (PNG) model in one spatial dimension and its relation to random matrix ensembles. For curved and flat growth the scaling functions of the surface fluctuations coincide with limit…

Mathematical Physics · Physics 2011-11-10 Patrik L. Ferrari , Michael Praehofer

We study $q$-deformed random unitary ensembles associated with the weight function of the Al-Salam--Carlitz orthogonal polynomials, indexed by a parameter $a < 0$. In the special case $a = -1$, the model reduces to the $q$-deformed Gaussian…

Mathematical Physics · Physics 2025-07-25 Sung-Soo Byun , Yeong-Gwang Jung , Jaeseong Oh

Using complex Langevin dynamics we examine the phase structure of complex unitary matrix models and compare the numerical results with analytic results found at large $N$. The actions we consider are manifestly complex, and thus the…

High Energy Physics - Theory · Physics 2018-08-15 Pallab Basu , Kasi Jaswin , Anosh Joseph

We use the method of the exact renormalization group to study the renormalization group flows of an O(N) invariant Yukawa model in three dimensional Euclidean space consisting of one real scalar and N real spinor fields. We obtain a phase…

High Energy Physics - Theory · Physics 2011-08-03 Hidenori Sonoda

Let $X = G/\Gamma$, where $G$ is a Lie group and $\Gamma$ is a lattice in $G$, and let $U$ be a subset of $X$ whose complement is compact. We use the exponential mixing results for diagonalizable flows on $X$ to give upper estimates for the…

Dynamical Systems · Mathematics 2019-08-27 Dmitry Kleinbock , Shahriar Mirzadeh

This work builds on an existing model of discrete canonical evolution and applies it to the general case of a linear dynamical system, i.e., a finite-dimensional system with configuration space isomorphic to $ \mathbb{R}^{q} $ and linear…

Mathematical Physics · Physics 2021-06-30 Jakub Káninský

We observe that the large $N$ world sheet RG in $c=1$ matrix model, formulated in hep-th/0310106, hep-th/0311177, with $N^2$ quantum mechanical degrees of freedom at small compactification radius is capable of capturing dimensional…

High Energy Physics - Theory · Physics 2007-05-23 Satabhisa Dasgupta , Tathagata Dasgupta

We present a robust scheme to derive effective models non-perturbatively for quantum lattice models when at least one degree of freedom is gapped. A combination of graph theory and the method of continuous unitary transformations (gCUTs) is…

Strongly Correlated Electrons · Physics 2011-04-18 H-Y. Yang , K. P. Schmidt

We study an interacting $\lambda\,\phi^4_{\star}$ scalar field defined on Snyder-de Sitter space. Due to the noncommutativity as well as the curvature of this space, the renormalization of the two-point function differs from the commutative…

High Energy Physics - Theory · Physics 2021-04-01 S. A. Franchino-Viñas , S. Mignemi

We study leptogenesis in two seesaw models where maximal atmospheric neutrino mixing and $U_{e3} = 0$ result from symmetries. Salient features of those models are the existence of three Higgs doublets and a twofold degeneracy of the…

High Energy Physics - Phenomenology · Physics 2009-11-10 W. Grimus , L. Lavoura

Deep generative models such as diffusion and flow matching are powerful machine learning tools capable of learning and sampling from high-dimensional distributions. They are particularly useful when the training data appears to be…

High Energy Physics - Phenomenology · Physics 2026-04-30 Zachary Bogorad , Ibrahim Elsharkawy , Yonatan Kahn , Andrew J. Larkoski , Noam Levi
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