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This course, intended for undergraduates familiar with elementary calculus and linear algebra, introduces the extension of differential calculus to functions on more general vector spaces, such as functions that take as input a matrix and…

History and Overview · Mathematics 2025-01-28 Paige Bright , Alan Edelman , Steven G. Johnson

A procedure to obtain differentiation matrices is extended straightforwardly to yield new differentiation matrices useful to obtain derivatives of complex rational functions. Such matrices can be used to obtain numerical solutions of some…

Numerical Analysis · Mathematics 2007-05-23 Rafael G. Campos , Claudio Meneses

Quiver representations arise naturally in many areas across mathematics. Here we describe an algorithm for calculating the vector space of sections, or compatible assignments of vectors to vertices, of any finite-dimensional representation…

Representation Theory · Mathematics 2021-11-25 Anna Seigal , Heather A. Harrington , Vidit Nanda

Partition functions of some two-dimensional statistical models can be represented by means of Grassmann integrals over loops living on two-dimensional torus. It is shown that those Grassmann integrals are topological invariants, which…

High Energy Physics - Theory · Physics 2007-05-23 C. Klimcik

Differential reformulations of field theories are often used for explicit computations. We derive a one-matrix differential formulation of two-matrix models, with the help of which it is possible to diagonalize the one- and two-matrix…

Mathematical Physics · Physics 2022-10-05 Joren Brunekreef , Luca Lionni , Johannes Thürigen

We evaluate partition functions of matrix models which are given by topologically twisted and dimensionally reduced actions of d=4 N=1 super Yang-Mills theories with classical (semi-)simple gauge groups, SO(2N), SO(2N+1) and USp(2N). The…

High Energy Physics - Theory · Physics 2008-11-26 H. Itoyama , H. Kihara , R. Yoshioka

Diagonalization, or eigenvalue decomposition, is very useful in many areas of applied mathematics, including signal processing and quantum physics. Matrix decomposition is also a useful tool for approximating matrices as the product of a…

Spectral Theory · Mathematics 2016-06-07 Théo Trouillon , Christopher R. Dance , Éric Gaussier , Guillaume Bouchard

An arbitrary Mueller matrix can be decomposed into a sum of up to four deterministic Mueller-Jones matrices, with strengths given by the eigenvalues of an associated Hermitian matrix. A geometrical representation of the eigenvalues in terms…

Optics · Physics 2015-10-06 Colin J. R. Sheppard

In this letter we continue the development of $W$-representations. We propose several generalizations of the known models, such as the hypergeometric Hurwitz $\tau$-functions. We construct $W$-representations for multi-character expansions,…

High Energy Physics - Theory · Physics 2023-02-01 Lu-Yao Wang , V. Mishnyakov , A. Popolitov , Fan Liu , Rui Wang

Probabilistic graphical models have emerged as a powerful modeling tool for several real-world scenarios where one needs to reason under uncertainty. A graphical model's partition function is a central quantity of interest, and its…

Artificial Intelligence · Computer Science 2021-05-25 Durgesh Agrawal , Yash Pote , Kuldeep S Meel

In this note, we are interested in the *-version of various special functions. Noting that many special functions are defined by integrals involving the exponential functions, we define *-special functions by similar integral formula…

Mathematical Physics · Physics 2011-11-09 Hideki Omori , Yoshiaki Maeda , Naoya Miyazaki , Akira Yoshioka

New identities on traces of representations of the Hecke algebra on the spaces of paths on graphs are presented. These identities are relevant in the computation of partition functions with fixed boundary conditions and of two-point…

q-alg · Mathematics 2009-10-30 S. Loesch , Y-K Zhou , J-B Zuber

When studying boundary value problems for some partial differential equations arising in applied mathematics, we often have to study the solution of a system of partial differential equations satisfied by hypergeometric functions and find…

Classical Analysis and ODEs · Mathematics 2020-05-26 Michael Ruzhansky , Anvar Hasanov

We derive exact matrix integral representations for different sums over partitions. The characteristic feature of all obtained matrix models is the presence of logarithmic (or, vice versa, exponential) terms in the potential. Our derivation…

High Energy Physics - Theory · Physics 2011-07-19 A. Alexandrov

The exactly solvable four-vertex model with the fixed boundary conditions in the presence of inhomogeneous linearly growing external field is considered. The partition function of the model is calculated and represented in the determinantal…

Statistical Mechanics · Physics 2020-11-23 Nikolay Bogoliubov , Cyril Malyshev

We consider a simple model of the dynamics of a single electron in a crystal lattice. Although this is a standard problem in condensed matter physics, alternative ways of evaluating a partition function for such a system lead to equalities,…

Mathematical Physics · Physics 2007-12-10 Jakub Jȩdrak

We study a class of holomorphic matrix models. The integrals are taken over middle dimensional cycles in the space of complex square matrices. As the size of the matrices tends to infinity, the distribution of eigenvalues is given by a…

High Energy Physics - Theory · Physics 2009-11-10 Giovanni Felder , Roman Riser

$W$-representation is a miraculous possibility to define a non-perturbative (exact) partition function as an exponential action of somehow integrated Ward identities on unity. It is well known for numerous eigenvalue matrix models when the…

High Energy Physics - Theory · Physics 2021-10-15 A. Mironov , V. Mishnyakov , A. Morozov

We present exactly solvable modifications of the two-matrix Zinn-Justin-Zuber model and write it as a tau function. The grand partition function of these matrix integrals is written as the fermion expectation value. The perturbation theory…

High Energy Physics - Theory · Physics 2023-10-04 E. N. Antonov , A. Yu. Orlov

We gather several results on the eigenvalues of the spatial sign covariance matrix of an elliptical distribution. It is shown that the eigenvalues are a one-to-one function of the eigenvalues of the shape matrix and that they are closer…

Computation · Statistics 2016-03-21 Alexander Dürre , David E. Tyler , Daniel Vogel