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arxiv: 1111.6123 · v2 · pith:2DL3EFIWnew · submitted 2011-11-25 · ❄️ cond-mat.stat-mech

Supersymmetric formulation of multiplicative white--noise stochastic processes

classification ❄️ cond-mat.stat-mech
keywords formulationequilibriummultiplicativeprescriptionprocessessupersymmetricdefinedepend
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We present a supersymmetric formulation of Markov processes, represented by a family of Langevin equations with multiplicative white-noise. The hidden symmetry encodes equilibrium properties such as fluctuation-dissipation relations. The formulation does not depend on the particular prescription to define the Wiener integral. In this way, different equilibrium distributions, reached at long times for each prescription, can be formally treated on the same footing.

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  1. Matrix-noise Jacobians in stochastic-calculus inference and optimal paths

    cond-mat.stat-mech 2026-05 unverdicted novelty 6.0

    A matrix-noise Jacobian J_σ = ∂_j σ_ik ∂_i σ_jk − (∂_i σ_ik)(∂_l σ_lk) survives scalar cancellations and measurably affects path likelihoods and Onsager-Machlup paths in multidimensional systems.