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arXiv · 2002.10690

Searching the solution landscape by generalized high-index saddle dynamics

Abstract

We introduce a generalized numerical algorithm to construct the solution landscape, which is a pathway map consisting of all stationary points and their connections. Based on the high-index optimization-based shrinking dimer (HiOSD) method for gradient systems, a generalized high-index saddle dynamics (GHiSD) is proposed to compute any-index saddles of dynamical systems. Linear stability of the index-$k$ saddle point can be proved for the GHiSD system. A combination of the downward search algorithm and the upward search algorithm is applied to systematically construct the solution landscape, which not only provides a powerful and efficient way to compute multiple solutions without tuning initial guesses, but also reveals the relationships between different solutions. Numerical examples, including a three-dimensional example and the phase field model, demonstrate the novel concept of the solution landscape by showing the connected pathway maps.

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BibTeXRIS

Jianyuan Yin, Bing Yu, Lei Zhang. 2020-02-25. Searching the solution landscape by generalized high-index saddle dynamics. https://doi.org/10.1007/s11425-020-1737-1

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