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Real Analysis with Economic
Applications Efe
A. Ok Book Description and
Endorsements |
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Chapter
A: Preliminaries of
Real Analysis Addenda Corrections: Typos |
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Chapter
B: Countability Addenda: Section
B.4.3 (Rewritten) Corrections: Typos |
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Chapter
C: Metric Spaces Addenda Corrections: Typos |
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Chapter
D: Continuity I Addenda: The Ekeland Variational Principle / Proof of Brouwer’s Fixed Point Theorem / Motzkin’s Characterization of Convex Sets Corrections: The Thoughtful Correction of Footnote 47 by
Douglas Bridges / Typos |
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Chapter
E: Continuity II Addenda Corrections Chapter
F: Linear Spaces Addenda Corrections: Typos Chapter
G: Convexity Addenda Corrections: Typos Chapter
H: Economic Applications Addenda Corrections Chapter
I: Metric Linear Spaces Addenda Corrections: Typos Chapter
J: Normed Linear Spaces Addenda Corrections Chapter
K: Differential Calculus Addenda: On the
Existence of Approximate Stationary Points Corrections: Typos Hints to Selected Exercises Addenda Corrections: Correction to Exercise
F.3 References
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PROBABILITY THEORY with ECONOMIC APPLICATIONS Efe A. Ok |
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Preface
(TBW) Table
of Contents |
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Chapter
A: Preliminaries |
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Chapter
B: Probability via Measue Theory Event Spaces / Probability Spaces / Constructing
of Probability Spaces / The Sierpinski Class Lemma / Random Variables Chapter
C: Expectation via the Lebesgue Integral
The Expectation Functional / Application:
First-Order Stochastic Dominance / Almost Sure Convergence Theorems / The
Lebesgue Integral / Elementary
Inequalities / Spaces of Integrable Random Variables /
Probability Measures Induced by Expectations Chapter
D: Expectation via the Stieltjes Integral The Stieltjes Integral / The Expectation
Functional as a Stieltjes Integral / Integration by Parts / Stochastic
Dominance Theory / Economic Applications of Stochastic
Dominance Theory Chapter
E: Weak Convergence Weak Convergence of Probability Measures /
Convergence of Random Variables / The Prokhorov Metrization / Properties of P(X)
/ An Alternative Metrization of P(X) Chapter
F: Applications to Decision-Making
under Risk and Uncertainty The
Expected Utility Theorem / Decision-Making Under Uncertainty Chapter
G: Stochastic Independence Infinite Products of Probability Spaces Chapter
H: A Primer on Probability Limit Theorems Preliminaries / Laws of Large Numbers / The
Borel-Cantelli Lemmas / Convergence of Series of Random Variables /
Kolmogorov’s 0-1 Law Chapter
I: Conditional Expectation Conditional Expectation / Properties of
Conditional Expectation Chapter
J: Martingales Martingales / Stopped
Martingales / The Martingale Convergence Theorems / Applications Appendix
1: Metric Spaces Appendix
2: Linear and Normed Linear Spaces Hints
to Selected Exercises References
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Elements of ORDER THEORY Efe A. Ok |
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Preface
(TBW) |
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Chapter
1: Preordered Sets, Posets and Lattices Binary Relations / Equivalence Relations /
Order Relations / Representation through Complete Preorders / Maxima and
Minima / Parameters of Posets / Suprema
and Infima / Lattices / Supermodularity |
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Chapter 2: Order-Preserving
Maps and Isomorphisms Order-Preserving Functions / Galois
Connections / Order-Preserving Correspondences / An Application to
Optimization Theory Chapter 3: Mobius Functions Motivation: Inversion Problems on Posets / Incidence
Algebras / Mobius Functions / Application: Preferences for Flexibility / An
Application to Game Theory Chapter
4: Zorn’s Lemma and its Applications The Axiom of Choice / The Hausdorff Maximal
Principle / An Application to Optimization Theory / Zorn’s Lemma /
Applications of Zorn’s Lemma / Digression: Pathological Consequences of Zorn’s
Lemma / The Well-Ordering Principle Chapter
5: Order-Theoretic Fixed Point Theory Fixed Point Theory / Completeness Conditions
for Posets / Iterative Fixed Point Theorems / Tarski’s Fixed Point Theorems /
Converse of the Knaster-Tarski Theorem / The Abian-Brown Fixed Point Theorem
/ Fixed Point Theorems for Set-Valued Maps Chapter
6: The Brezis-Browder Ordering Principle and its Applications A
Selection of Ordering Principles / Applications to Metric Fixed Point Theory
/ Applications to Optimization Theory / An Application to Convex Analysis Chapter
7: Completions and Decompositions of Preordered Sets (TBW) Chapter
8: Functional (Utility) Representation of Preorders Preliminaries / Representation through
Order-Separability / Representation through Semicontinuity / The Open Gap
Lemma / The Debreu-Eilenberg Representation Theorems
/ Multi-Utility Representation / Continuous Multi-Utility Representation / Finite
Multi-Utility Representation Chapter
9: Represesentation of Distributive Lattices Introduction
/ Ideals and Filters / Representation of Distributive Lattices I / Representation
of Distributive Lattices II / Ordered Stone Spaces / Representation of
Distributive Lattices III Chapter
10: Advances in Lattice Theory (TBW) Appendix:
A Primer on Topological Spaces Topological Spaces /
Metric Spaces / The Hausdorff Metric |
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