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偏微分方程算法和应用研讨会

Nehari manifold optimization and its application for finding unstable solutions of semilinear elliptic PDEs

Speaker

谢资清 , 湖南师范大学

Time

23 Mar, 15:15 - 16:00

Abstract

A Nehari manifold optimization method (NMOM) is introduced for finding 1-saddles, i.e., unstable saddle points with the Morse index equal to 1 of a generic nonlinear functional in Hilbert spaces. Actually, it is based on the variational characterization that 1-saddles are local minimizers of the generic functional restricted on the associated Nehari manifold. The framework contains two important ingredients: one is the retraction mapping to make the iteration points always lie on the Nehari manifold; the other one is the tangential search direction to decrease the generic functional with suitable step-size search rules. Particularly, the global convergence is rigorously established by virtue of some crucial analysis techniques (including a weak conver gence method) overcoming difficulties in the infinite-dimensional setting. In practice, combining with an easy-to-implement Nehari retraction and the negative Riemannian gradient direction, the NMOM is successfully applied to compute the unstable ground-state solutions of a class of typical semilinear elliptic PDEs such as the Henon equation and nonlinear Schrodinger equation. In particular, the symmetry-breaking phenomenon of the ground states of the Henon equation is explored numerically in 1D and 2D with interesting numerical findings on the critical value of symmetry-breaking reported.