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This paper presents some parallel developments in Quiver/Dimer Models, Hypergeometric Systems and Dessins d'Enfants. The setting in which Gelfand, Kapranov and Zelevinsky have formulated the theory of hypergeometric systems, provides also a…

Algebraic Geometry · Mathematics 2007-11-12 Jan Stienstra

We construct a Hamiltonian H whose discrete spectrum contains, in a certain limit, the Riemann zeros. H is derived from the action of a massless Dirac fermion living in a domain of Rindler spacetime, in 1+1 dimensions, that has a boundary…

Mathematical Physics · Physics 2014-08-04 German Sierra

We present a general result which shows that the winding of the branches in a uniform spanning tree on a planar graph converge in the limit of fine mesh size to a Gaussian free field. The result holds true assuming only convergence of…

Probability · Mathematics 2018-11-28 Nathanaël Berestycki , Benoit Laslier , Gourab Ray

The same complex matrix model calculates both tachyon scattering for the c=1 non-critical string at the self-dual radius and certain correlation functions of half-BPS operators in N=4 super-Yang-Mills. It is dual to another complex matrix…

High Energy Physics - Theory · Physics 2011-10-11 T. W. Brown

Applying Feynman diagrammatics to non-fermionic strongly correlated models with local constraints might seem generically impossible for two separate reasons: (i) the necessity to have a Gaussian (non-interacting) limit on top of which the…

Statistical Mechanics · Physics 2016-11-24 Lode Pollet , Mikhail N. Kiselev , Nikolay V. Prokof'ev , Boris V. Svistunov

In a recent paper [ F. Wang and F. Y. Wu, Phys. Rev. E 75 (2007) 040105(R) ] we reported exact results on the enumeration of close-packed dimers on an infinite kagome lattice. We computed the per-dimer free energy using both the Pfaffian…

Statistical Mechanics · Physics 2008-05-13 Fa Wang , F. Y. Wu

We construct the multilevel correlation kernel for the rising GUE eigenvalue process starting from a fixed initial configuration $x^{(m)}$, and show that it converges on short time scales (as quickly as $\text{polylog}(m)$) to the extended…

Probability · Mathematics 2026-05-01 Zoe Himwich

The Pfaffian structure of the boundary monomer correlation functions in the dimer-covering planar graph models is rederived through a combinatorial / topological argument. These functions are then extended into a larger family of…

Mathematical Physics · Physics 2017-09-12 Michael Aizenman , Manuel Laínz Valcázar , Simone Warzel

We prove bosonization identities for the scaling limits of the critical Ising correlations in finitely-connected planar domains, expressing those in terms of correlations of the compactified Gaussian free field. This, in particular, yields…

Mathematical Physics · Physics 2026-05-08 Baran Bayraktaroglu , Konstantin Izyurov , Tuomas Virtanen , Christian Webb

Deformation quantization for any Grassmann scalar free field is described via the Weyl-Wigner-Moyal formalism. The Stratonovich-Weyl quantizer, the Moyal $\star$-product and the Wigner functional are obtained by extending the formalism…

High Energy Physics - Theory · Physics 2011-07-19 I. Galaviz , H. Garcia-Compean , M. Przanowski , F. J. Turrubiates

We consider height functions on symmetric spaces $M\cong G/K$ embedded in the associated matrix Lie group $G$. In particular we study the relationship between the critical sets of the height function on $G$ and its restriction to $M$. Also…

Differential Geometry · Mathematics 2013-07-24 E. Macías-Virgós , M. J. Pereira-Sáez

A very elementary model of a single positive hermitian random matrix coupled to an external matrix is defined and studied. Expanding the exact effective action around its classical solution leads to the ``quantum Penner action'', from which…

High Energy Physics - Theory · Physics 2008-02-03 Camillo Imbimbo , Sunil Mukhi

Most correlation inequalities for high-dimensional functions in the literature, such as the Fortuin-Kasteleyn-Ginibre (FKG) inequality and the celebrated Gaussian Correlation Inequality of Royen, are qualitative statements which establish…

Probability · Mathematics 2020-12-23 Anindya De , Shivam Nadimpalli , Rocco A. Servedio

We revisit the classical phenomenon of duality between random integer-valued height functions with positive definite potentials and abelian spin models with O(2) symmetry. We use it to derive new results in quite high generality including:…

Probability · Mathematics 2025-10-15 Diederik van Engelenburg , Marcin Lis

This paper presents an analysis of properties of two hybrid discretization methods for Gaussian derivatives, based on convolutions with either the normalized sampled Gaussian kernel or the integrated Gaussian kernel followed by central…

Numerical Analysis · Mathematics 2025-01-31 Tony Lindeberg

We study a class of close-packed dimer models on the square lattice, in the presence of small but extensive perturbations that make them non-determinantal. Examples include the 6-vertex model close to the free-fermion point, and the dimer…

Mathematical Physics · Physics 2020-07-14 Alessandro Giuliani , Vieri Mastropietro , Fabio Lucio Toninelli

In this work, building up on [1] we present momentum space Ward identities related to broken higher spin symmetry as an alternate approach to computing correlators of spinning operators in interacting theories such as the quasi-fermionic…

High Energy Physics - Theory · Physics 2021-07-28 Sachin Jain , Renjan Rajan John , Vinay Malvimat

An inner-product Hilbert space formulation of the Kemeny distance is defined over the domain of all permutations with ties upon the extended real line, and results in an unbiased minimum variance (Gauss-Markov) correlation estimator upon a…

Methodology · Statistics 2023-05-02 Landon Hurley

Theta identities on genus g Riemann surfaces which decompose simple products of fermion correlation functions with a constraint on their variables are considered. This type of theta identities is, in a sense, dual to Fay s formula, by which…

High Energy Physics - Theory · Physics 2017-11-23 A. G. Tsuchiya

Fisher's linear discriminant analysis is a classical method for classification, yet it is limited to capturing linear features only. Kernel discriminant analysis as an extension is known to successfully alleviate the limitation through a…

Machine Learning · Statistics 2022-07-29 Jiae Kim , Yoonkyung Lee , Zhiyu Liang