On periodic solutions for one-phase and two-phase problems of the Navier-Stokes equations
Thomas Eiter, Mads Kyed, Yoshihiro Shibata

TL;DR
This paper proves the existence of time-periodic solutions for one-phase and two-phase Navier-Stokes problems with small periodic forces, using advanced functional analysis techniques in time-dependent domains.
Contribution
It introduces novel methods involving $ ext{R}$-solvers and Fourier multipliers to establish maximal regularity for periodic solutions in complex moving boundary problems.
Findings
Existence of periodic solutions under small external forces.
Development of maximal $L_p$-$L_q$ regularity theorem for these problems.
Application of $ ext{R}$-solvers and transference theorems in the analysis.
Abstract
This paper is devoted to proving the existence of time-periodic solutions of one-phase or two-phase problems for the Navier-Stokes equations with small periodic external forces when the reference domain is close to a ball. Since our problems are formulated in time-dependent unknown domains, the problems are reduced to quasiliner systems of parabolic equations with non-homogeneous boundary conditions or transmission conditions in fixed domains by using the so-called Hanzawa transform. We separate solutions into the stationary part and the oscillatory part. The linearized equations for the stationary part have eigen-value , which is avoided by changing the equations with the help of the necessary conditions for the existence of solutions to the original problems. To treat the oscillatory part, we establish the maximal - regularity theorem of the periodic solutions for the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Physics Problems · Differential Equations and Boundary Problems · Stability and Controllability of Differential Equations
