A unifying representation of path integrals for fractional Brownian motions
O. Benichou, G. Oshanin

TL;DR
This paper develops a unifying path integral representation for different definitions of fractional Brownian motion, demonstrating they are fundamentally the same process with variations only in integration limits.
Contribution
It introduces a unified path integral framework for all three main types of fBm using Riemann-Liouville fractional integrals, clarifying their fundamental equivalence.
Findings
Unified path integral representation for all three fBm types.
Shows the action involves the same fractional integral form for all cases.
Differences among fBms are only in the integration limits.
Abstract
Fractional Brownian motion (fBm) is an experimentally-relevant, non-Markovian Gaussian stochastic process with long-ranged correlations between the increments, parametrised by the so-called Hurst exponent ; depending on its value the process can be sub-diffusive , diffusive or super-diffusive . There exist three alternative equally often used definitions of fBm -- due to L\'evy and due to Mandelbrot and van Ness (MvN), which differ by the interval on which the time variable is formally defined. Respectively, the covariance functions of these fBms have different functional forms. Moreover, the MvN fBms have stationary increments, while for the L\'evy fBm this is not the case. One may therefore be tempted to conclude that these are, in fact, different processes which only accidentally bear the same name. Recently determined explicit path…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Advanced Thermodynamics and Statistical Mechanics
