dc.contributor.author | Yaptieu, Sylvia | |
dc.date.accessioned | 2015-06-19T09:40:14Z | |
dc.date.available | 2015-06-19T09:40:14Z | |
dc.date.issued | 2010-12-06 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/123456789/246 | |
dc.identifier.uri | http://library.aust.edu.ng:8080/xmlui/handle/123456789/246 | |
dc.description.abstract | This project lies at the interface between Nonlinear Functional Anal-
ysis,
unconstrained Optimization and Critical point theory. It concerns
mainly the Ambrosetti-Rabinowitz's Mountain Pass Theorem which
is a min-max theorem at the heart of deep mathematics and plays
a crucial role in solving many variational problems. As application,
a model of Lane-Emden equation is considered.
Minmax theorems characterize a critical value
c
of a functonal
de ned on a Banach spaces as minmax over a suitable class
subsets of
X,
A
f
of
that is :
c = inf sup f (x) .
A∈S x∈A
Variational methods refer to proofs established by showing that a
suitable auxilliary function attains a minimum or has a critical point
(see below).
Minimum Variational principle can be viewed as a
mathematical form of the principle of least action in Physics and
justi es why so many results in Mathematics are related to varia-
tional techniques since they have their origin in the physical sciences.
The application of the Mountain Pass Theorem and more gen-
erally those of Variational Techniques cover numerous theoretic as
well as applied areas of mathematical sciences such as Partial Dif-
ferential Equations, Optimization, Banach space geometry, Control
theory, Economics and Game theory. | en_US |
dc.language.iso | en | en_US |
dc.subject | Yaptieu Djeungue Odette Sylvia | en_US |
dc.subject | Sylvia | en_US |
dc.subject | The Mountain Pass Theorem and Applications | en_US |
dc.subject | 2010 | en_US |
dc.subject | Mountain Pass Theorem | en_US |
dc.subject | Guy Degla | en_US |
dc.subject | Mathematics | en_US |
dc.title | The Mountain Pass Theorem and Applications | en_US |
dc.type | Thesis | en_US |