Optimal bounds with semidefinite programming: an application to stress driven shear flows
G. Fantuzzi, A. Wynn

TL;DR
This paper presents a novel convex optimization-based numerical method using semidefinite programming to compute rigorous bounds on fluid flow dissipation, improving accuracy and applicability over traditional approaches.
Contribution
It introduces a new SDP-based technique for variational problems in fluid flows that accounts for all modes and handles boundary fluxes effectively.
Findings
Achieved over 10 times tighter bounds than previous analytical results.
Bounds become independent of domain aspect ratio as viscosity vanishes.
Demonstrated the method's efficiency in analyzing flow stability.
Abstract
We introduce an innovative numerical technique based on convex optimization to solve a range of infinite dimensional variational problems arising from the application of the background method to fluid flows. In contrast to most existing schemes, we do not consider the Euler--Lagrange equations for the minimizer. Instead, we use series expansions to formulate a finite dimensional semidefinite program (SDP) whose solution converges to that of the original variational problem. Our formulation accounts for the influence of all modes in the expansion, and the feasible set of the SDP corresponds to a subset of the feasible set of the original problem. Moreover, SDPs can be easily formulated when the fluid is subject to imposed boundary fluxes, which pose a challenge for the traditional methods. We apply this technique to compute rigorous and near-optimal upper bounds on the dissipation…
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