Multidimensional fractional material derivative: measure-valued solutions and probabilistic properties
Abstract
We analyze a nonlocal operator in space and time, called the multidimensional fractional material derivative. We derive its pointwise representation, which allows us to study its other properties. We define an inverse operator, called fractional material integral, and derive its pointwise representation. Furthermore, we analyze a class of linear partial differential equations, which corresponds to deterministic descriptions of the scaling limits of multidimensional Lévy walks, in which transport is driven by a multidimensional fractional material derivative with a speed vector integrated with respect to a suitable probability measure and a distributional source term. Using Fourier-Laplace transform techniques and a direct convolution-kernel construction, we prove the existence and uniqueness of exponentially integrable measure solutions for measure data. Moreover, we identify a necessary and sufficient condition on the source term for conservation of unit mass and provide separate sufficient conditions for non-negativity and weak convergence to δ0. We also prove weak continuity and self-similarity of the kernel and continuous dependence on the directional distribution.
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BibTeX
@misc{woszczek2026multidimensional,
title = {{Multidimensional fractional material derivative: measure-valued solutions and probabilistic properties}},
author = {Hubert Woszczek},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2609.20060},
eprint = {2609.20060},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.20060},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Multidimensional fractional material derivative: measure-valued solutions and probabilistic properties
AU - Hubert Woszczek
PY - 2026
DA - 2026/10/17
PB - arXiv
DO - 10.48550/arxiv.2609.20060
UR - https://arxiv.org/abs/2609.20060
AB - We analyze a nonlocal operator in space and time, called the multidimensional fractional material derivative. We derive its pointwise representation, which allows us to study its other properties. We define an inverse operator, called fractional material integral, and derive its pointwise representation. Furthermore, we analyze a class of linear partial differential equations, which corresponds to deterministic descriptions of the scaling limits of multidimensional Lévy walks, in which transport is driven by a multidimensional fractional material derivative with a speed vector integrated with respect to a suitable probability measure and a distributional source term. Using Fourier-Laplace transform techniques and a direct convolution-kernel construction, we prove the existence and uniqueness of exponentially integrable measure solutions for measure data. Moreover, we identify a necessary and sufficient condition on the source term for conservation of unit mass and provide separate sufficient conditions for non-negativity and weak convergence to δ_0. We also prove weak continuity and self-similarity of the kernel and continuous dependence on the directional distribution.
ER -