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Complex Langevin dynamics at finite chemical potential: mean field analysis in the relativistic Bose gas

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arxiv 0902.4686 v2 pith:VRLYHQBO submitted 2009-02-26 hep-lat hep-phnucl-th

classification hep-lathep-phnucl-th
keywords complexfieldmeanbosechemicaldynamicsfinitelangevin
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Stochastic quantization can potentially be used to simulate theories with a complex action due to a nonzero chemical potential. We study complex Langevin dynamics in the relativistic Bose gas analytically, using a mean field approximation. We concentrate on the region with a Silver Blaze problem and discuss convergence, stability, fixed points, and the severeness of the sign problem. The real distribution satisfying the extended Fokker-Planck equation is constructed and its nonlocal form is explained. Finally, we compare the mean field results in finite volume with the numerical data presented in Ref. [1].

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Lefschetz thimble-inspired weight regularizations for complex Langevin simulations

    hep-lat 2024-12 conditional novelty 7.0 of 10

    A single compact Lefschetz thimble restores correct complex Langevin convergence, and a Dyson-Schwinger bias correction recovers the original expectation values.

  2. Diffusion models learn distributions generated by complex Langevin dynamics

    hep-lat 2024-12 conditional novelty 6.0 of 10

    Diffusion models reproduce the distributions sampled by complex Langevin dynamics in a Gaussian and a quartic toy model with complex mass.

  3. Combining complex Langevin dynamics with score-based and energy-based diffusion models

    hep-lat 2025-10 conditional novelty 5.0 of 10

    Energy-based diffusion models trained on complex Langevin data produce an explicit energy function for the sampled distribution, enabling MCMC without re-simulation.

  4. Thermodynamic Diagnostics for Complex Langevin Simulations: The Role of Configurational Temperature

    hep-lat 2025-09 conditional novelty 4.0 of 10

    Configurational temperature from action gradients and Hessians offers a sensitive new correctness diagnostic for complex Langevin simulations, reproducing input temperature to 0.2-3% in 1D PT-symmetric models.

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