1990
DOI: 10.1103/physrevd.41.1269
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Convergence of the Langevin simulation for complex Gaussian integrals

Abstract: We solve the two-variable Fokker-Planck equation for the real probability distribution generated by the complex Langevin equation for a complex Gaussian integral. We find the eigenvalues, eigenvectors, and time-dependent behavior.

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Cited by 9 publications
(11 citation statements)
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“…We begin by searching for solutions of Pϕ 0 = E 0 ϕ 0 in the form where we set A R = cosh 2 α/4, A I = sinh 2 α/4. For α = 0 this reduces to the result in [7,6]. The solution becomes non-normalizable for θ → π − as ϕ 0 (x, y) → 1.…”
Section: A: the Langevin Methods For Quadratic Complex Actionsmentioning
confidence: 71%
“…We begin by searching for solutions of Pϕ 0 = E 0 ϕ 0 in the form where we set A R = cosh 2 α/4, A I = sinh 2 α/4. For α = 0 this reduces to the result in [7,6]. The solution becomes non-normalizable for θ → π − as ϕ 0 (x, y) → 1.…”
Section: A: the Langevin Methods For Quadratic Complex Actionsmentioning
confidence: 71%
“…[25][26][27][28][29][30]. This method was successful in several cases including statistical mechanics problems with complex chemical potentials,…”
Section: The Langevin Methodsmentioning
confidence: 99%
“…Refs. [15,16,17,18]) and hence the analysis of P(x, y) requires its explicit construction using the Langevin equation.…”
Section: Complex Langevin Dynamicsmentioning
confidence: 99%