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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 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) Table
of Contents |
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Chapter
1: Preordered Sets, Posets and Lattices Binary Relations / Equivalence Relations /
Order Relations / Maxima and Minima / Suprema and Infima / Lattices /
Order-Preserving Maps / Galois Connections / Order-Preserving Correspondences |
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Chapter 2: The Brezis-Browder Ordering Principle and its
Applications The Brezis-Browder Ordering Principle /
Applications to Fixed Point Theory / Applications to Optimization Theory Chapter
3: Zorn’s Lemma and its Applications The Axiom of Choice / Zorn’s Lemma / Application:
Representation of Preorders / Application: Existence of Maximal Elements / The Dilworth Decomposition Theorem Chapter
4: Order-Theoretic Fixed Point Theory The Abian-Brown Fixed Point Theorem / The Tarski-Davis
Theorem / Applications / Zhou’s Fixed Point Theorem Chapter 5: Supermodularity
(TBW) Chapter
6: Theory of Utility Representation Preliminaries / Representation through
Order-Separability / Representation through Semicontinuity / The Open Gap
Lemma / The Debreu-Eilenberg Representation Theorems
/ Continuous Multi-Utility Representation / Finite Multi-Utility
Representation Appendix:
A Primer on Topological Spaces Topological Spaces / Metric
Spaces / The Hausdorff Metric References |
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