Abstract:Relaxation to equilibrium of a drifted Brownian motion is quantified by a probability density function, whose main (multiplicative) entry is an inferred Feynman-Kac kernel of the Schrödinger semigroup operator. Although seemingly devoid of a natural probabilistic significance (except for its explicit path integral definition), the pertinent kernel relaxes to equilibrium as well. The implicit Feynman-Kac potential ${\cal{V}}(x)$, continuous, confining and bounded from below, may take negative values. If positive, ${\cal{V}}(x)$ can be interpreted as the killing rate of the decaying diffusion process. In case of relaxing F-K kernels the killing effects are tamed (often overcompensated). The taming inavoidably appears in conjunction with the existence of the negativity subdomains of ${\cal{V}}(x)$ in $R$. If locally ${\cal{V}}(x) < 0$, its sign inversion $- {\cal{V}}(x)$ can be interpreted as the branching (cloning, alternatively bifurcation) rate in the course of the other wise free random motion. The arising killed diffusion processes with branching, we interpret as the possible path-wise background of tamed (relaxing) Feynman-Kac diffusions. We present acomputer-assisted path-wise arguments, towards a consistency of the killing/branching taming scenario, for a number of nonlinear model systems in one space dimension. Special attention is paid to Feynman-Kac potential shapes, presumed to be in the double well form, where an analytic access to eigenvalues and eigenfunctions is scarce beyond the semiclassical regime.
| Comments: | 33 pp. 26 figures |
| Subjects: | Statistical Mechanics (cond-mat.stat-mech); Mathematical Physics (math-ph); Probability (math.PR); Exactly Solvable and Integrable Systems (nlin.SI); Quantum Physics (quant-ph) |
| Cite as: | arXiv:2605.07824 [cond-mat.stat-mech] |
| (or arXiv:2605.07824v1 [cond-mat.stat-mech] for this version) | |
| https://doi.org/10.48550/arXiv.2605.07824 arXiv-issued DOI via DataCite |
From: Piotr Garbaczewski [view email]
[v1]
Fri, 8 May 2026 14:53:10 UTC (2,460 KB)
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