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Principles of mathematical analysis

Walter Rudin
TLDR
The real and complex number system as discussed by the authors is a real number system where the real number is defined by a real function and the complex number is represented by a complex field of functions.
Abstract
Chapter 1: The Real and Complex Number Systems Introduction Ordered Sets Fields The Real Field The Extended Real Number System The Complex Field Euclidean Spaces Appendix Exercises Chapter 2: Basic Topology Finite, Countable, and Uncountable Sets Metric Spaces Compact Sets Perfect Sets Connected Sets Exercises Chapter 3: Numerical Sequences and Series Convergent Sequences Subsequences Cauchy Sequences Upper and Lower Limits Some Special Sequences Series Series of Nonnegative Terms The Number e The Root and Ratio Tests Power Series Summation by Parts Absolute Convergence Addition and Multiplication of Series Rearrangements Exercises Chapter 4: Continuity Limits of Functions Continuous Functions Continuity and Compactness Continuity and Connectedness Discontinuities Monotonic Functions Infinite Limits and Limits at Infinity Exercises Chapter 5: Differentiation The Derivative of a Real Function Mean Value Theorems The Continuity of Derivatives L'Hospital's Rule Derivatives of Higher-Order Taylor's Theorem Differentiation of Vector-valued Functions Exercises Chapter 6: The Riemann-Stieltjes Integral Definition and Existence of the Integral Properties of the Integral Integration and Differentiation Integration of Vector-valued Functions Rectifiable Curves Exercises Chapter 7: Sequences and Series of Functions Discussion of Main Problem Uniform Convergence Uniform Convergence and Continuity Uniform Convergence and Integration Uniform Convergence and Differentiation Equicontinuous Families of Functions The Stone-Weierstrass Theorem Exercises Chapter 8: Some Special Functions Power Series The Exponential and Logarithmic Functions The Trigonometric Functions The Algebraic Completeness of the Complex Field Fourier Series The Gamma Function Exercises Chapter 9: Functions of Several Variables Linear Transformations Differentiation The Contraction Principle The Inverse Function Theorem The Implicit Function Theorem The Rank Theorem Determinants Derivatives of Higher Order Differentiation of Integrals Exercises Chapter 10: Integration of Differential Forms Integration Primitive Mappings Partitions of Unity Change of Variables Differential Forms Simplexes and Chains Stokes' Theorem Closed Forms and Exact Forms Vector Analysis Exercises Chapter 11: The Lebesgue Theory Set Functions Construction of the Lebesgue Measure Measure Spaces Measurable Functions Simple Functions Integration Comparison with the Riemann Integral Integration of Complex Functions Functions of Class L2 Exercises Bibliography List of Special Symbols Index

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Obfuscation, Learning, and the Evolution of Investor Sophistication

TL;DR: In this article, the authors developed a dynamic model to study the interaction between obfuscation and investor sophistication in mutual fund markets and characterized the optimal timing of obfuscation for financial institutions who offer retail products.
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On the characterizations of (S,N)-implications

TL;DR: This paper shows that some assumptions are needless and presents two characterizations of S-implications with mutually independent requirements and also presents characterization of (S,N)-implications obtained from continuous fuzzy negations or strict negations.
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Commitment vs. Flexibility

TL;DR: In this article, the authors study the optimal trade-off between commitment and flexibility in an intertemporal consumption/savings choice model, which combines the representations of preferences for flexibility introduced by Kreps (1979) with its recent antithesis for commitment proposed by Gul and Pesendorfer (2002), which nests the hyperbolic discounting model.
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Uniqueness and Complete Dynamics in Heterogeneous Competition-Diffusion Systems

TL;DR: In the weak competition case, the uniqueness is established, hence the global asymptotic stability, of coexistence steady states under various circumstances, and thereby a complete understanding of the change in dynamics when one of the interspecific competition coefficients is small is obtained.
Journal ArticleDOI

Asymptotics of Estimating Equations under Natural Conditions

TL;DR: In this article, the authors consider the large sample properties of estimators generated from samples that are not necessarily identically distributed and give general assumptions that lead to the existence, strong consistency, and asymptotic normality of the estimators.