The inverse initial data problem for anisotropic Navier-Stokes equations via Legendre time reduction method

Fuente: arXiv
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Main Authors: Van, Cong B., Le, Thuy T., Nguyen, Loc H.
Format: Preprint
Published: 2025
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author Van, Cong B.
Le, Thuy T.
Nguyen, Loc H.
author_facet Van, Cong B.
Le, Thuy T.
Nguyen, Loc H.
contents We consider an inverse initial-data problem for the compressible anisotropic Navier--Stokes equations, in which the goal is to reconstruct the initial velocity field from noisy lateral boundary observations. In the formulation studied here, the density, pressure, anisotropic viscosity tensor, and body force are assumed known, while the initial velocity is the quantity to be recovered. We introduce a new computational framework based on Legendre time-dimensional reduction, in which the velocity field is projected onto an exponentially weighted Legendre basis in time. This transformation reduces the original time-dependent inverse problem to a coupled system of time-independent elliptic equations for the Fourier coefficients of the velocity field. The resulting reduced model is solved using a combination of quasi-reversibility and a damped Picard iteration. Numerical experiments in two dimensions show that the proposed method accurately and robustly reconstructs initial velocity fields, even in the presence of significant measurement noise, geometrically complex structures, and anisotropic effects. The method provides a flexible and computationally tractable approach for inverse fluid problems in anisotropic media.
format Preprint
id arxiv_https___arxiv_org_abs_2507_16810
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The inverse initial data problem for anisotropic Navier-Stokes equations via Legendre time reduction method
Van, Cong B.
Le, Thuy T.
Nguyen, Loc H.
Numerical Analysis
We consider an inverse initial-data problem for the compressible anisotropic Navier--Stokes equations, in which the goal is to reconstruct the initial velocity field from noisy lateral boundary observations. In the formulation studied here, the density, pressure, anisotropic viscosity tensor, and body force are assumed known, while the initial velocity is the quantity to be recovered. We introduce a new computational framework based on Legendre time-dimensional reduction, in which the velocity field is projected onto an exponentially weighted Legendre basis in time. This transformation reduces the original time-dependent inverse problem to a coupled system of time-independent elliptic equations for the Fourier coefficients of the velocity field. The resulting reduced model is solved using a combination of quasi-reversibility and a damped Picard iteration. Numerical experiments in two dimensions show that the proposed method accurately and robustly reconstructs initial velocity fields, even in the presence of significant measurement noise, geometrically complex structures, and anisotropic effects. The method provides a flexible and computationally tractable approach for inverse fluid problems in anisotropic media.
title The inverse initial data problem for anisotropic Navier-Stokes equations via Legendre time reduction method
topic Numerical Analysis
url https://arxiv.org/abs/2507.16810