5720 Introduction to Applied Math
II:
Calculus of Variations, Equations of Physics, and Games
Addressed to graduate and senior undergraduate students in math,
science, and engineering. Grade is based on several homework
assignments and a course project.
Text:
Robert Weinstock. Calculus of Variations with Applications to Physics and
Engineering. Dover, 1974.
Instructors notes (will be distributed).
Recommended advanced reading:
-
I.M. Gelfand and S.V. Fomin. Calculus of variations. Prentice-Hall, 1963.
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Andrej Cherkaev. Variational Methods for Structural Optimization. Springer
NY, 2000.
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Guillermo Owen. Game Theory
Why study extremal problems?
The desire for optimality (perfection) is inherent for humans. The search
for extremes inspires mountaineers, scientists, mathematicians, and the
rest of the human race. Theory of extremal problems is a mathematical reflection
of this noble desire. It formulates and answers the question: What
function -- curve or surface -- is the "best?" or: Why there is no
"best" solution at all? Deep and elegant methods of Calculus of Variations
were originated by Bernoulli, Newton, Euler and actively developed for
the last three centuries. The ill-posed problems and problems without solutions
are of a special interest: Extremal principles allow for redefinition of
a solution itself and restate these problem so that they do possess a unique
generalized solution.
Variational problems also root in natural laws of physics. The general
principle by Maupertuis proclaims: "If there occur some changes
in nature, the amount of action necessary for this change must be as small
as possible." This principle is responsible for many philosophical
speculations. We use natural variational principles to derive and comment
on basic equations of physics and mechanics.
The minimax and Game theories address another basic human passion: Gambling
and decision making. This theory, originated in 30-s by Von Neumann and
Morgenstern, is now widely used in economics, biology, political and military
science.
Preliminary Sillabus:
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Basic techniques of Calculus of Variations (2 weeks)
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Convexity and symmetrization.
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Euler equations, Legendre and Weierstrass tests.
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Geometrical optics, brahistohrone, minimal surface of revolution.
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Variation of the interval and boundary conditions.
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Restricted extremum (2 weeks)
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Isoperimentic problem and catenoid problem
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Introduction to Optimal control problems.
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Duality and Legendre-Young transform.
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Hamiltonian mechanics, Symmetries and invariants
(1 week)
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Multivariable variational problems: (3 weeks)
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Reminder of multivariable calculus: Green and Stokes theorems.
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Euler-Lagrande equations (minimal surfaces, bubbles),
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Differential constraints and integrability, duality.
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Stability of solutions and the notion of quasiconvexity
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Variation of the domain and of the boundary conditions.
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Direct methods and Finite elements.
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Variational principles: Do we live in an "optimal"
world? (2 weeks)
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Conductivity; Stokes flow.
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Elasticity.
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Eigenvalues and vibrations (Rayleigh principle)
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Dissipative media (Minimal principles for complex-valued variables)
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Ill-posed variational problems: "Solving" problems that do not have solutions
(2
weeks)
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Why some problems are ill posed and how to address them?
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Regularization and relaxation of ill-posed problems.
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Introduction to Game Theory (2 weeks)
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Zero-sum and Non-zero-sum games: Strategies and equilibria
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Cooperative games and markets
Related URLs:
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My
Methods of Optimization page
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Links and JAVA
examples of optimal curves by Alexey Ivanov
-
Chronology
of the game theory by Paul Walker
Class Notes
1.
Intoduction, convexity, symmetrization
Webpage
about Dido problem.
Webpage about brachistochrone. An interesting prove of its extremal
property
2. Euler and Weierstrass tests, Null-Lagrangians.
Home work
The pdf file with the homework is Here