Stochastic Calculus for the Theta Process

Fuente: arXiv
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Main Authors: Cellarosi, Francesco, Selk, Zachary
Format: Preprint
Published: 2024
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author Cellarosi, Francesco
Selk, Zachary
author_facet Cellarosi, Francesco
Selk, Zachary
contents The theta process is a stochastic process of number theoretical origin arising as a scaling limit of quadratic Weyl sums. It can be described in terms of the geodesic flow and an automorphic function on a homogeneous space. This process has several properties in common with Brownian motion such as its Hölder regularity, uncorrelated increments and quadratic variation. However, crucially, we show that the theta process is not a semimartingale, making Itô calculus techniques inapplicable. Instead, we use the celebrated rough paths theory to develop the stochastic calculus for the theta process. We do so by constructing the iterated integrals - the ``rough path" - above the theta process. Rough paths theory takes a signal and its iterated integrals and produces a vast and robust theory of stochastic differential equations. In addition, the rough path we construct can be described in terms of higher rank theta sums, via equidistribution of horocycle lifts.
format Preprint
id arxiv_https___arxiv_org_abs_2406_05523
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stochastic Calculus for the Theta Process
Cellarosi, Francesco
Selk, Zachary
Probability
Dynamical Systems
Group Theory
Number Theory
Representation Theory
The theta process is a stochastic process of number theoretical origin arising as a scaling limit of quadratic Weyl sums. It can be described in terms of the geodesic flow and an automorphic function on a homogeneous space. This process has several properties in common with Brownian motion such as its Hölder regularity, uncorrelated increments and quadratic variation. However, crucially, we show that the theta process is not a semimartingale, making Itô calculus techniques inapplicable. Instead, we use the celebrated rough paths theory to develop the stochastic calculus for the theta process. We do so by constructing the iterated integrals - the ``rough path" - above the theta process. Rough paths theory takes a signal and its iterated integrals and produces a vast and robust theory of stochastic differential equations. In addition, the rough path we construct can be described in terms of higher rank theta sums, via equidistribution of horocycle lifts.
title Stochastic Calculus for the Theta Process
topic Probability
Dynamical Systems
Group Theory
Number Theory
Representation Theory
url https://arxiv.org/abs/2406.05523