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  • Letter

Path integrals for fractional Brownian motion and fractional Gaussian noise

Baruch Meerson1,*, Olivier Bénichou2,†, and Gleb Oshanin2,3,‡

  • 1Racah Institute of Physics, Hebrew University of Jerusalem, Jerusalem 91904, Israel
  • 2Laboratoire de Physique Théorique de la Matière Condensée, UMR CNRS 7600, CNRS, Sorbonne Université, 4 Place Jussieu, 75252 Paris Cedex 05, France
  • 3Dipartimento di Scienze Matematiche, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy

  • *meerson@mail.huji.ac.il
  • †olivier.benichou@sorbonne-universite.fr
  • ‡gleb.oshanin@sorbonne-universite.fr

Phys. Rev. E 106, L062102 – Published 14 December, 2022

DOI: https://doi.org/10.1103/PhysRevE.106.L062102

Abstract

Wiener's path integral plays a central role in the study of Brownian motion. Here we derive exact path-integral representations for the more general fractional Brownian motion (FBM) and for its time derivative process, fractional Gaussian noise (FGN). These paradigmatic non-Markovian stochastic processes, introduced by Kolmogorov, Mandelbrot, and van Ness, found numerous applications across the disciplines, ranging from anomalous diffusion in cellular environments to mathematical finance. Their exact path-integral representations were previously unknown. Our formalism exploits the Gaussianity of the FBM and FGN, relies on the theory of singular integral equations, and overcomes some technical difficulties by representing the action functional for the FBM in terms of the FGN for the subdiffusive FBM and in terms of the derivative of the FGN for the super-diffusive FBM. We also extend the formalism to include external forcing. The exact and explicit path-integral representations make inroads in the study of the FBM and FGN.

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Corrections

22 May, 2023

Correction: The caption to Figure 1 contained typographical errors and has been fixed.

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