Extended framework for the hybrid Monte Carlo in lattice gauge theory

We develop an extended framework for the hybrid Monte Carlo (HMC) algorithm in lattice gauge theory by embedding the <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>S</a:mi><a:mi>U</a:mi><a:mo stretchy="false">(</a:mo><a:mi>N</a:mi><a:mo stretchy="false">)</a:mo></a:math> group into the space of general complex matrices, <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:msub><e:mi>M</e:mi><e:mi>N</e:mi></e:msub><e:mo stretchy="false">(</e:mo><e:mi mathvariant="double-struck">C</e:mi><e:mo stretchy="false">)</e:mo></e:math>. Auxiliary directions will be completely factorized in the path integral, and the embedding does not alter the expectation values of the original theory. We perform the molecular dynamics updates by using the matrix elements of <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline"><j:mi>W</j:mi><j:mo>∈</j:mo><j:msub><j:mi>M</j:mi><j:mi>N</j:mi></j:msub><j:mo stretchy="false">(</j:mo><j:mi mathvariant="double-struck">C</j:mi><j:mo stretchy="false">)</j:mo></j:math> as the dynamical variables without group theoretic constraints. The framework enables us to introduce nonseparable Hamiltonians for the HMC in lattice gauge theory exactly, whose immediate application includes the Riemannian manifold HMC.

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Journal
Physical review. D/Physical review. D.
Published
2025-08-25
DOI
https://doi.org/10.1103/k6dm-lj56
Primary Topic
Markov Chains and Monte Carlo Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Extended framework for the hybrid Monte Carlo in lattice gauge theory

Luchang Jin, Norman H. Christ, Nobuyuki Matsumoto, Christoph Lehner et al.
Physical review. D/Physical review. D.
Markov Chains and Monte Carlo Methods
article

Extended framework for the hybrid Monte Carlo in lattice gauge theory

Luchang Jin, Norman H. Christ, Nobuyuki Matsumoto, Christoph Lehner, Erik Lundstrum
article en

Abstract

We develop an extended framework for the hybrid Monte Carlo (HMC) algorithm in lattice gauge theory by embedding the <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>S</a:mi><a:mi>U</a:mi><a:mo stretchy="false">(</a:mo><a:mi>N</a:mi><a:mo stretchy="false">)</a:mo></a:math> group into the space of general complex matrices, <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:msub><e:mi>M</e:mi><e:mi>N</e:mi></e:msub><e:mo stretchy="false">(</e:mo><e:mi mathvariant="double-struck">C</e:mi><e:mo stretchy="false">)</e:mo></e:math>. Auxiliary directions will be completely factorized in the path integral, and the embedding does not alter the expectation values of the original theory. We perform the molecular dynamics updates by using the matrix elements of <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline"><j:mi>W</j:mi><j:mo>∈</j:mo><j:msub><j:mi>M</j:mi><j:mi>N</j:mi></j:msub><j:mo stretchy="false">(</j:mo><j:mi mathvariant="double-struck">C</j:mi><j:mo stretchy="false">)</j:mo></j:math> as the dynamical variables without group theoretic constraints. The framework enables us to introduce nonseparable Hamiltonians for the HMC in lattice gauge theory exactly, whose immediate application includes the Riemannian manifold HMC.

Physical review. D/Physical review. D.Vol. 112(3)
Boston University (US), University of Connecticut (US), University of Regensburg (DE), Columbia University (US)
U.S. Department of Energy, Office of Science
Openalex Percentile: Top 79%
Markov Chains and Monte Carlo Methods
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