Document Type
Dissertation
Date of Award
12-31-2019
Degree Name
Doctor of Philosophy in Mathematical Sciences - (Ph.D.)
Department
Mathematical Sciences
First Advisor
David Shirokoff
Second Advisor
Cyrill B. Muratov
Third Advisor
Brittany Froese Hamfeldt
Fourth Advisor
Andrew J. Bernoff
Fifth Advisor
Travis Askham
Abstract
In this dissertation, the global minimization of a large deviations rate function (the Helmholtz free energy functional) for the Boltzmann distribution is discussed. The Helmholtz functional arises in large systems of interacting particles — which are widely used as models in computational chemistry and molecular dynamics. Global minimizers of the rate function (Helmholtz functional) characterize the asymptotics of the partition function and thereby determine many important physical properties such as self-assembly, or phase transitions. Finding and verifying local minima to the Helmholtz free energy functional is relatively straightforward. However, finding and verifying global minima is much more difficult since the Helmholtz energy is nonconvex and nonlocal. Instead of minimizing the original nonconvex functional, the approach in this dissertation is to find minimizers to a convex lower bound functional. The so-called relaxed problem consists of a linear variational problem with an infinite number of Fourier constraints, leading to a variety of computational challenges. A fast solver (for the relaxed problem) based on matrix-free interior-point algorithms is developed by exploiting the Fourier structure in the problem in conjunction with a new preconditioner.
Recommended Citation
Bandegi, Mahdi, "Convex relaxations of a continuum aggregation model, and their efficient numerical solution" (2019). Dissertations. 1430.
https://digitalcommons.njit.edu/dissertations/1430
