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The paper discusses relations between the structure of the complex Fermi surface below the spectrum of a second order periodic elliptic equation and integral representations of certain classes of its solutions. These integral…

Analysis of PDEs · Mathematics 2007-09-03 Peter Kuchment

In many applications, one is faced with an inverse problem, where the known signal depends in a bilinear way on two unknown input vectors. Often at least one of the input vectors is assumed to be sparse, i.e., to have only few non-zero…

Information Theory · Computer Science 2018-04-25 Jakob Geppert , Felix Krahmer , Dominik Stöger

We introduce and compare new compression approaches to obtain regularized solutions of large linear systems which are commonly encountered in large scale inverse problems. We first describe how to approximate matrix vector operations with a…

Numerical Analysis · Mathematics 2016-08-12 Sergey Voronin , Dylan Mikesell , Guust Nolet

We consider six-dimensional heavenly equation as a reduction in the framework of general six-dimensional linearly degenerate dispersionless hierarchy. We characterise the reduction in terms of wave functions, introduce generating relation,…

Exactly Solvable and Integrable Systems · Physics 2018-11-14 L. V. Bogdanov , M. V. Pavlov

This preliminary note presents a heuristic for determining rank constrained solutions to linear matrix equations (LME). The method proposed here is based on minimizing a non-convex quadratic functional, which will hence-forth be termed as…

Optimization and Control · Mathematics 2018-09-10 Shravan Mohan

This paper defines a linear representation for nonlinear maps $F:\mathbb{F}^n\rightarrow\mathbb{F}^n$ where $\mathbb{F}$ is a finite field, in terms of matrices over $\mathbb{F}$. This linear representation of the map $F$ associates a…

Symbolic Computation · Computer Science 2024-04-04 Ramachandran Anantharaman , Virendra Sule

In this paper, we study a machine-learning-based solver for high-dimensional partial differential equations (PDEs). Computing accurate solutions efficiently for such problems remains challenging because of the curse of dimensionality, which…

Numerical Analysis · Mathematics 2026-04-27 Phuoc-Toan Huynh , Feng Bao , Haizhao Yang , Ahmed Zytoon

The Schlesinger equations $S_{(n,m)}$ describe monodromy preserving deformations of order $m$ Fuchsian systems with $n+1$ poles. They can be considered as a family of commuting time-dependent Hamiltonian systems on the direct product of $n$…

Differential Geometry · Mathematics 2007-05-23 B. Dubrovin , M. Mazzocco

We extend similarity reductions of the coupled (2+1)-dimensional three-wave resonant interaction system to its Lax pair. Thus we obtain new 3x3 matrix Fuchs--Garnier pairs for the third and fifth Painleve' equations, together with the…

Classical Analysis and ODEs · Mathematics 2007-11-15 N. Joshi , A. V. Kitaev , P. A. Treharne

In this paper, we propose a systematic approach to design a four-component zoom system with fixed spacing between focal points based on matrix optics. Since the more complex model the higher degree of freedom it has, the task of determining…

Optics · Physics 2022-02-24 Zichao Fan , Shili Wei , Yan Mo , Zhengbo Zhu , Donglin Ma

The Schwinger representation gives a systematic procedure for recasting large N field theory amplitudes as integrals over closed string moduli space. This procedure has recently been applied to a class of free field four point functions by…

High Energy Physics - Theory · Physics 2010-02-03 Justin R. David , Rajesh Gopakumar

An integrable semi-discretization of complex and multi-component coupled dispersionless systems via Lax pairs is presented. A Lax pair is proposed for the complex sdCD system. We derive the Lax pair for the multi-component sdCD system…

Exactly Solvable and Integrable Systems · Physics 2019-01-17 H. Wajahat A. Riaz , Mahmood ul Hassan

Multi-parameter persistent homology is a recent branch of topological data analysis. In this area, data sets are investigated through the lens of homology with respect to two or more scale parameters. The high computational cost of many…

Algebraic Topology · Mathematics 2020-10-30 Michael Kerber , Alexander Rolle

A new approximation format for solutions of partial differential equations depending on infinitely many parameters is introduced. By combining low-rank tensor approximation in a selected subset of variables with a sparse polynomial…

Numerical Analysis · Mathematics 2025-06-25 Markus Bachmayr , Huqing Yang

Integrable self-adaptive moving mesh schemes for short pulse type equations (the short pulse equation, the coupled short pulse equation, and the complex short pulse equation) are investigated. Two systematic methods, one is based on…

Exactly Solvable and Integrable Systems · Physics 2014-04-03 Bao-Feng Feng , Ken-ichi Maruno , Yasuhiro Ohta

We derive new Lax representations for the hyper-CR equation of Einstein--Weyl structures and for the associated integrable hierarchy.

Exactly Solvable and Integrable Systems · Physics 2020-03-31 Oleg I. Morozov

A surface integral equation (SIE) formulation under the magneto-quasi-static assumption is proposed to efficiently and accurately model arbitrarily shaped interconnects in packages. Through decently transferring all electromagnetic…

Computational Engineering, Finance, and Science · Computer Science 2022-10-12 Zekun Zhu , Zhizhang Chen , Shunchuan Yang

This paper develops the technique of constructing Lax representations for PDEs via non-central extensions of their contact symmetry algebras. We show that the method is applicable to the Lax representations with non-removable spectral…

Exactly Solvable and Integrable Systems · Physics 2018-12-11 Oleg I. Morozov

In this paper, we derive and study two versions of the short pulse equation (SPE) in $(2+1)-$dimensions. Using Maxwell's equations as a starting point, and suitable Kramers-Kronig formulas for the permittivity and permeability of the…

Pattern Formation and Solitons · Physics 2015-06-05 Y. Shen , N. Whitaker , P. G. Kevrekidis , N. L. Tsitsas , D. J. Frantzeskakis

We propose a new framework -- Square Root Principal Component Pursuit -- for low-rank matrix recovery from observations corrupted with noise and outliers. Inspired by the square root Lasso, this new formulation does not require prior…

Machine Learning · Computer Science 2021-11-01 Junhui Zhang , Jingkai Yan , John Wright