Title Information
Title
Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening
Name: Personal
Name Part
Klobusicky, Joe J
Role
Role Term: Text
creator
Origin Information
Copyright Date
2014
Physical Description
Extent
11, 139 p.
digitalOrigin
born digital
Note
Thesis (Ph.D. -- Brown University (2014)
Name: Personal
Name Part
Menon, Govind
Role
Role Term: Text
Director
Name: Personal
Name Part
Ramanan, Kavita
Role
Role Term: Text
Reader
Name: Personal
Name Part
Pego, Robert
Role
Role Term: Text
Reader
Name: Corporate
Name Part
Brown University. Applied Mathematics
Role
Role Term: Text
sponsor
Genre (aat)
theses
Abstract
The subject of this thesis is the development of a stochastic process that can be interpreted as a model of grain coarsening, a central problem in material science. Namely, our objective is the creation of piecewise-deterministic Markov processes (PDMPs) on particles whose empirical densities converge to solutions of kinetic equations. We begin with a study of a simplified model, where particles drift toward the origin on $\mathbb{R}^+$. When particles hit the origin, they are redistributed to $\mathbb{R}^+$ according to a fixed probability density $p(x)$. This ``dynamic shuffler" is shown to be an instance of a PDMP. From the infinitesimal generator associated with the dynamic shuffler, we then construct a martingale that we show is an approximation to a weak solution to limiting kinetic equations of the density of particles. Properties of these equations are then investigated using Laplace transforms and renewal theory. We then generalize the one-tier model by considering a $k$-species model, where particles travel on several tiers, and are redistributed with probability distributions that change with time. Obtaining the ``correct" martingale in this ``$k$-species model" involves an augmented PDMP, which adds variables that keep track of certain types of jumps. The main theorem of this thesis is the existence of limiting kinetic equations for densities of each species. We end by aligning the $k$-species model to a mean field model of grain coarsening. Several basic properties of this model which are inherent for grain systems are then shown. Finally, we run simulations of the grain coarsening PDMP and raise several conjectures on the universality of certain grain statistics.
Subject
Topic
grain coarsening
Subject
Topic
kinetic equations
Subject (FAST) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/1010347")
Topic
Markov processes
Record Information
Record Content Source (marcorg)
RPB
Record Creation Date (encoding="iso8601")
20141006
Language
Language Term: Code (ISO639-2B)
eng
Language Term: Text
English
Identifier: DOI
10.7301/Z0ZW1J9R
Access Condition: rights statement (href="http://rightsstatements.org/vocab/InC/1.0/")
In Copyright
Access Condition: restriction on access
Collection is open for research.
Type of Resource (primo)
dissertations