A method to compute derivatives of functions of large complex matrices
M. Puhr, P. V. Buividovich

TL;DR
This paper introduces a numerical method for efficiently computing derivatives of functions of large complex matrices, especially useful in lattice gauge theory applications like the overlap Dirac operator at finite chemical potential.
Contribution
The paper presents a new method for derivatives of matrix functions that integrates with implicit approximation algorithms and improves performance with a generalized deflation approach.
Findings
Method effectively computes derivatives of non-Hermitian matrix functions.
Test results show efficiency on large lattice configurations.
Applicable to lattice gauge theory simulations at finite density.
Abstract
A recently developed numerical method for the calculation of derivatives of functions of general complex matrices, which can also be combined with implicit matrix function approximations such as Krylov-Ritz type algorithms, is presented. An important use case for the method in the context of lattice gauge theory is the overlap Dirac operator at finite quark chemical potential. Derivatives of the lattice Dirac operator are necessary for the computation of conserved lattice currents or the fermionic force in Hybrid Monte-Carlo and Langevin simulations. To calculate the overlap Dirac operator at finite chemical potential the product of the sign function of a non-Hermitian matrix with a vector has to be computed. For non-Hermitian matrices it is not possible to efficiently approximate the sign function with polynomials or rational functions. Implicit approximation algorithms, like…
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Taxonomy
TopicsQuantum Chromodynamics and Particle Interactions · Particle physics theoretical and experimental studies · High-Energy Particle Collisions Research
