Content

  • Research in progress and future directions
  • A motivation on computing unstable solutions
  • A short history on critical point theory

Research in progress and future directions

Starting from investigating multiple solutions for the Henon Equation via a Newton Homotopy Continuation Method, we have now shifted our gears to the computational theory and numerical methods on multiple (unstable) solutions to nonlinear elliptic problems including cooperative and noncooperative elliptic systems, Hamiltonian elliptic systems(e.g., the Lane-Emden system, semilinear biharmonic problems). Instability analysis of the solutions is also among the scope of our study. Since the Morse index (refer to my favourite torus or the Morse theory) plays a significant role in the Critical Point Theory, estimates of the Morse index or relative Morse index (arising in noncooperative and Hamiltonian cases) need to be established. While we will continue our study on noncooperative and Hamiltonian cases, our long-term goal is to extend the methods we have developed to more challenging nonlinear problems such as nonvariational systems, nonlinear wave equations (or even systems of coupled nonlinear wave equations), Hamiltonian PDE systems (often referred to as infinite dimensional Hamiltonian systems) and Hamiltonian ODE systems (often referred to as finite dimensional Hamiltonian systems or Hamilton equations) which are not necessarily separable and/or autonomous (time-independent). We note that there are a number of symplectic or splitting methods as well as relavant solvers available now, most of which are mainly devoted to solving separable and/or autonomous Hamiltonian systems (see, e.g., "Symplectic Methods for Separable Hamiltonian Systems" by Mark Sofroniou and Giulia Spaletta). For general Hamiltonian systems (non-separable and/or non-autonomous), many challenges arise and need to be overcome, such as how to eliminate or reduce the effect of round-off errors, how to preserve the symplectic structure while conserving the energy (unfortunately, it has been shown that this is in general impossible, see, e.g., Symplectic Methods for Hamiltonian Systems). By incorporating minimax and variational methods and/or techniques, we shall develop some reliable methods to solve them.

A motivation on finding unstable solutions

When problems to be solved are variational, they can be viewed as the Euler-Lagrange equations of certain functionals whose critical points correspond to their weak solutions under some standard hypothesis. Critical points that are local extrema (i.e., maxima or minima) are the main subject of traditional critical point theory and well-studied in calculus of variations since 1743 (initiated by Euler). Critical points correponding neither to local maxima nor to local minima are the so-called saddle points which appear as unstable equilibria or transient excited states in physical systems, and are usually thought to be too hard to reach or obtain in applications. With new atomic, optical and/or synchrotronic technologies, however, scientists now are able to successfully trap or secure them and start to search for their very promising applications. These new technologies and other advanced studies in related areas are changing the traditional view on unstable solutions and starting to draw more and more attention. As a result, there is a growing need to develop more efficient and reliable numerical methods for finding those unstable solutions (i.e., excited states) in order to get a better understanding of their intrinsic behaviors and dynamics, since analytic solutions are in general too difficult to obtain.

A short history on critical point theory

Followed by the work of Poincare who made a valuable contribution to the calculus of variations in 1905, Birkhoff succeeded to obtain a minimax principle where a saddle point is characterized as a minimax in 1917. This serves as the beginning of modern critical point theory which is devoted to studies of saddle points. A theory of minimax was elaborated in the late 1920s and early 1930s independently by Morse and by Ljusternik and Schnirelman. Their results contain the basic ingredients of modern minimax theorems and form a substantial part of modern critical point theory. The well-known Mountain Pass Theorem, proved in 1973 by Ambrosetti and Rabinowitz, set undoubtedly a milestone in critical point theory. It influenced its "successors" so much that it can be considered as the beginning of a postmodern era in this theory. The theorem was demonstrated to be so useful and was repeatedly used as a model or framework for a number of other critical point theorems (such as Saddle Point Theorem, Linking Theorem, etc) followed.