Spectral dimension and diffusion in multi-scale spacetimes

TL;DR

This paper derives diffusion equations for multiscale spacetimes from a stochastic Langevin model, providing a comprehensive classification of spacetime geometries via spectral dimension and resolving previous open issues in the field.

Contribution

It introduces a derivation of diffusion equations for multiscale spacetimes from a Langevin approach, clarifying the spectral dimension and addressing prior unresolved problems.

Findings

Derived diffusion equations for three classes of multiscale spacetimes.

Computed spectral dimensions consistent with previous studies.

Resolved open issues in the diffusion modeling of multifractional spacetimes.

Abstract

Starting from a classical-mechanics stochastic model encoded in a Langevin equation, we derive the natural diffusion equation associated with three classes of multiscale spacetimes (with weighted, ordinary, and "q-Poincar\'e" symmetries). As a consistency check, the same result is obtained by inspecting the propagation of a quantum-mechanical particle in a disordered environment. The solution of the diffusion equation displays a time-dependent diffusion coefficient and represents a probabilistic process, classified according to the statistics of the noise in the Langevin equation. We thus illustrate, also with pictorial aids, how spacetime geometries can be more completely catalogued not only through their Hausdorff and spectral dimension, but also by a stochastic process. The spectral dimension of multifractional spacetimes is then computed and compared with what was found in previous studies, where a diffusion equation with some open issues was assumed rather than derived. These issues are here discussed and solved, and they point towards the model with q-Poincar\'e symmetries.