A Carleman contraction method for inverse initial data recovery in the Navier-Stokes equations with unknown body force

Fuente: arXiv
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Auteurs principaux: Nguyen, Phuong M., Nguyen, Loc H.
Format: Preprint
Publié: 2026
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author Nguyen, Phuong M.
Nguyen, Loc H.
author_facet Nguyen, Phuong M.
Nguyen, Loc H.
contents We solve an inverse initial data problem for the incompressible Navier-Stokes system. The objective is to recover the initial velocity and pressure from lateral boundary observations, without assuming that the time-independent body force is known. To eliminate this unknown force, we differentiate the momentum equation with respect to time and then apply a Legendre polynomial-exponential time-dimensional reduction. This procedure yields a coupled system of elliptic equations for the expansion coefficients. We then construct a contractive map for this reduced system on a suitable admissible set equipped with a Carleman-weighted norm. Its fixed point yields an approximate solution of the time-dimensional reduction model, and the contraction property gives rise to a globally convergent Picard iteration. Finally, we present a numerical algorithm based on this framework and numerical experiments showing accurate reconstructions of the initial velocity and pressure from synthetic boundary data.
format Preprint
id arxiv_https___arxiv_org_abs_2604_09934
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Carleman contraction method for inverse initial data recovery in the Navier-Stokes equations with unknown body force
Nguyen, Phuong M.
Nguyen, Loc H.
Analysis of PDEs
We solve an inverse initial data problem for the incompressible Navier-Stokes system. The objective is to recover the initial velocity and pressure from lateral boundary observations, without assuming that the time-independent body force is known. To eliminate this unknown force, we differentiate the momentum equation with respect to time and then apply a Legendre polynomial-exponential time-dimensional reduction. This procedure yields a coupled system of elliptic equations for the expansion coefficients. We then construct a contractive map for this reduced system on a suitable admissible set equipped with a Carleman-weighted norm. Its fixed point yields an approximate solution of the time-dimensional reduction model, and the contraction property gives rise to a globally convergent Picard iteration. Finally, we present a numerical algorithm based on this framework and numerical experiments showing accurate reconstructions of the initial velocity and pressure from synthetic boundary data.
title A Carleman contraction method for inverse initial data recovery in the Navier-Stokes equations with unknown body force
topic Analysis of PDEs
url https://arxiv.org/abs/2604.09934