Exponents, symmetry groups and classification of operator fractional Brownian motions
Gustavo Didier, Vladas Pipiras

TL;DR
This paper analyzes the symmetry groups and exponents of operator fractional Brownian motions (OFBMs), providing a spectral domain-based classification and exploring their structural properties in various dimensions.
Contribution
It offers a spectral domain integral representation approach to classify OFBMs by their symmetry groups and exponents, extending previous results to higher dimensions.
Findings
OFBMs have minimal symmetry groups generally, leading to unique exponents.
Explicit classification of OFBMs based on symmetry groups in dimensions 2 and 3.
Spectral domain parametrization is unaffected by exponent multiplicity.
Abstract
Operator fractional Brownian motions (OFBMs) are zero mean, operator self-similar (o.s.s.), Gaussian processes with stationary increments. They generalize univariate fractional Brownian motions to the multivariate context. It is well-known that the so-called symmetry group of an o.s.s. process is conjugate to subgroups of the orthogonal group. Moreover, by a celebrated result of Hudson and Mason, the set of all exponents of an operator self-similar process can be related to the tangent space of its symmetry group. In this paper, we revisit and study both the symmetry groups and exponent sets for the class of OFBMs based on their spectral domain integral representations. A general description of the symmetry groups of OFBMs in terms of subsets of centralizers of the spectral domain parameters is provided. OFBMs with symmetry groups of maximal and minimal types are studied in any…
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