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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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Journal ArticleDOI

Convexity and the separability problem of quantum mechanical density matrices

TL;DR: In this paper, the role of densities ρ as operators on the Hilbert space H[N] and also as points in a real Hilbert space M is discussed, and the Euclidean distance between the two in M is used to quantify the entanglement of ρ0.
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Metabolic isotopomer labeling systems. Part II: structural flux identifiability analysis.

TL;DR: Flux identifiability is investigated for the network of the central metabolic pathways of a microorganism and a new algorithm based on integer arithmetic enables an a priori local Identifiability analysis to be performed for networks of arbitrary size.
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Reduced-order prediction of rogue waves in two-dimensional deep-water waves

TL;DR: In this article, a decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes is proposed to predict large wave formation in two-dimensional water waves.
Proceedings ArticleDOI

Discretization of sliding mode based control schemes

TL;DR: An approach to discretization of non-linear control laws with a Lipschitz property, where the sampling time is defined as a parameter which must be selected sufficiently small so that the closed loop system is stable.
Journal ArticleDOI

Generalized Meta-Analysis for Multiple Regression Models Across Studies with Disparate Covariate Information

TL;DR: In this article, a generalized meta-analysis approach is proposed to combine information on multivariate regression parameters across multiple studies that have varying levels of covariate information using algebraic relationships among regression parameters in different dimensions.