In this paper, we analyze the stability of the system of partial differential equations modelling scalar image velocimetry. We first revisit a successful numerical technique to reconstruct velocity vectors u {{u}} from images of a passive scalar field ψ by minimizing a cost functional that penalizes the difference between the reconstructed scalar field φ and the measured scalar field ψ, under the constraint that φ is advected by the reconstructed velocity field u {{u}}, which again is governed by the Navier-Stokes equations. We investigate the stability of the reconstruction by applying this method to synthetic scalar fields in two-dimensional turbulence that are generated by numerical simulation. Then we present a mathematical analysis of the nonlinear coupled problem and prove that, in the two-dimensional case, smooth solutions of the Navier-Stokes equations are uniquely determined by the measured scalar field. We also prove a conditional stability estimate showing that the map from the measured scalar field ψ to the reconstructed velocity field u, on any interior subset, is Hölder continuous.
CITATION STYLE
Burman, E., Gillissen, J. J. J., & Oksanen, L. (2023). Stability estimate for scalar image velocimetry. Journal of Inverse and Ill-Posed Problems, 31(6), 811–822. https://doi.org/10.1515/jiip-2020-0107
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