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IN ECONOMICS |
1. Introduction and Examples.
2. Vector Spaces.
2.1.
Definitions and examples ([12]: 2.2.)
2.2.
Subspaces ([12]: 2.3.)
2.3 Conexity
and cones ([12]: 2.4.)
2.4 Linear
independence and dimension ([12]: 2.5.)
3. Normed Spaces
3.1 Definitions
and examples ([12]: 2.6.)
3.2 Tpology
in normed spaces ([12]: 2.7, 2.8, 2.9.)
3.3.
The spaces lp and Lp ([12]: 2.10.)
3.4.
Banach spaces ([12]: 2.11, 2.12.)
3.5 Maximization
and compactness ([12]: 2.13)
4. Hilbert spaces
4.1.
Inner products ([12]: 3.2.)
4.2.
The projection Theorem ([12]: 3.3.)
4.3.
Orthogonal complements ([12]: 3.4.)
4.4.
The Gram-Schmidt procedure ([12]: 3.5.)
4.5.
The dual problem ([12]: 3.10.)
4.6 Minimal
distance to a convex set ([12]: 3.12.)
5. Dual Spaces
5.1.
Basic concepts ([12]: 5.2.)
5.2.
Examples ([12]: 5.3.)
5.3.
Extensions of linear functionals. The Hahn-Banach Theorem ([12]: 5.4.)
5.4.
The dual of C ([a,b] ([12]: 5.5.)
5.5.
Orthogonal complements ([12]: 5.7.)
5.6.
Minimun norms problems ([12]: 5.8.)
5.7.
Applications and examples ([12]: 5.9.)
5.8.
Weak convergence ([12]: 5.10.)
5.9.
Geometric form of the Hahn-Banach Theorem ([12]: 5.11, 5.12, 5.13.)
6 Linear Operators
6.1.
Fundamental properties ([12]: 6.2.)
6.2.
Inverses of linear operators ([12]: 6.3, 6.4.)
6.3.
Adjoints ([12]: 6.5, 6.6, 6.8.)
6.4. Optimizacion in Hilbert spaces ([12]: 6.9,
6.10)
7. Optimization in Normed Spaces
7.1 Introduction
7.2 Differentiation in Normed Spaces ([12]: 7.2,
7.3.)
7.3.
The implicit and Inverse Theorems in Normed Spaces ([12]:
9.2.)
7.4. Extrema. First order conditions for non-constrained
optimization ([12]: 7.4.)
7.5. Optimization with equality constrains. Lagrange
Multiplier ([12]: 9.3.)
7.6. Optimizacion with inequality constrains. Kuhn-Tucker
Theorem. ([12]: 9.4.)
8. Calculus of Variations
8.1 Introduction
8.2. Problems with fixed end points. Euler-Lagrange
equations. Second order conditions. legendre condition ([12]: 7.5, ([1]
2.3.)
8.3. Problems with variable end points ([12]: 7.6,
([1] 2.4. chapter 3)
9. Optimal Control Theory in continuous time.
9.1. Introduction ([1]: 4.1, 4.2.)
9.2. Basic necessary conditions ([12]: 9.5)
9.3.
Pontryagin's Maximum Principle ([12]: 9.6), ([1]: 4.3).
9.4. Economic interpretation of Pontryagin's Maximum
Principle
9.5. Sufficient conditions ([1]: 4.6.)
REFERENCES
1. E. Cerdá. Optimización dinámica, Prenctice Hall,
2001
2. S.E. Dreyfus, Dynamic programming and the calculus of variations,
Academic Press, 1965.
3. Nelson Dunford and Jacob T. Schwartz, Linear operators, John Wiley
& Sons, 1988
4. Gerald B. Folland, Real analysis: modern techniques and their applications,
Jhon Wiley & Sons, [1999]
5. I.M. Gelfand, S.V. Fomin, Calculus of variations, Prentice-Hall,
1963
6. G. Hadley, M.C. Kemp, Variational methods in economic, North-Holland,
1973
7. Michael D. Intriligator, Mathematical optimization and economic
theory, Prentice-Hall, cop, 1971
8. I. kamien and Nancy L. Schawartz, Dynamic optimization: the calculus
of variations and optimal control in economics and management, North-Holland,
cop.1981
9. A.N, Kolmogorov and S.V. Fomin, Elements of the theory of functions
and functional analysis, vo, 1, Graylock Press, 1957-1961
10. A.N. Lolmogorov and S.V. Fomin, Introductory real analysis, New
York: Dover, 1975
11. Daniel Leonard, ngo van Long, Optimal control theory and statc
optimization in economics, Cambridge University Press, 1992
12. D. G. Luenberger, Optimization by Vector Space Methods, Wiley 1997
13. Magnus R. Hestenes, Calculus of variations and optimal control
theory, John Wiley & Sons, cop.1966
Comentarios y sugerencias:
Luis Miguel Sánchez Sánchez - luismi@pa.uc3m.es
Última actualización:
17 de enero de 2002
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