TL;DR: In this paper, the authors present a list of applications of the path integral formula in statistical mechanics, including the application of the Path Integral formula to Statistical Mechanics, asymptotic analysis, and the phase space path integral.
Abstract: Partial table of contents: Probabilities and Probability Amplitudes for Paths. Correspondence Limit for the Path Integral (Heuristic). Vector Potentials and Another Proof of the Path Integral Formula. Doing the Integral: Free Particle and Quadratic Lagrangians. Brownian Motion and the Wiener Integral Kac's Proof. Perturbation Theory and Feynman Diagrams. SELECTED APPLICATIONS OF THE PATH INTEGRAL. Asymptotic Analysis. The Calculus of Variations. WKB Near Caustics. The Phase of the Semiclassical Amplitude. Scattering Theory. Geometrical Optics. The Polaron. Spin and Related Matters. Quantum Mechanics on Curved Spaces. Relativistic Propagators and Black Holes. Applications to Statistical Mechanics. Critical Droplets. Alias Instantons, and Metastability. Phase Space Path Integral. Omissions, Miscellany, and Prejudices. Indexes.
TL;DR: In this paper, a pair of Gauss-Chebyshev integration formulas for singular integrals are developed and a simple numerical method for solving a system of singular integral equations is described.
Abstract: In this paper a pair of Gauss-Chebyshev integration formulas for singular integrals are developed. Using these formulas a simple numerical method for solving a system of singular integral equations is described. To demonstrate the effectiveness of the method, a numerical example is given. In order to have a basis of comparison, the example problem is solved also by using an alternate method.
TL;DR: In this article, the authors propose the integration of Monotone Functions on Intervals and the construction of measures using topology, based on the Radon-Nikodym Theorem.
Abstract: Preface. 1. Integration of Monotone Functions on Intervals. 2. Set Functions and Caratheodory Measurability. 3. Construction of Measures using Topology. 4. Distribution Functions, Measurability and Comonotonicity of Functions. 5. The Asymmetric Integral. 6. The Subadditivity Theorem. 7. The Symmetric Integral. 8. Sequences of Functions and Convergence Theorems. 9. Nullfunctions and the Lebesgue Spaces Lp. 10. Families of Measures and their Envelopes. 11. Densities and the Radon-Nikodym Theorem. 12. Products. 13. Representing Functionals as Integrals. References. Index.
TL;DR: In this paper, the authors discuss the relationship between Riemann-Stieltjes and Lebesgue Integrals, and the Lp spaces, and apply the Heine-Borel Theorem for the convergence of Fourier coefficients.
Abstract: Preface to the Second Edition Preface to the First Edition Authors Preliminaries Points and Sets in Rn Rn as a Metric Space Open and Closed Sets in Rn, and Special Sets Compact Sets and the Heine-Borel Theorem Functions Continuous Functions and Transformations The Riemann Integral Exercises Functions of Bounded Variation and the Riemann-Stieltjes Integral Functions of Bounded Variation Rectifiable Curves The Riemann-Stieltjes Integral Further Results about Riemann-Stieltjes Integrals Exercises Lebesgue Measure and Outer Measure Lebesgue Outer Measure and the Cantor Set Lebesgue Measurable Sets Two Properties of Lebesgue Measure Characterizations of Measurability Lipschitz Transformations of Rn A Nonmeasurable Set Exercises Lebesgue Measurable Functions Elementary Properties of Measurable Functions Semicontinuous Functions Properties of Measurable Functions and Theorems of Egorov and Lusin Convergence in Measure Exercises The Lebesgue Integral Definition of the Integral of a Nonnegative Function Properties of the Integral The Integral of an Arbitrary Measurable f Relation between Riemann-Stieltjes and Lebesgue Integrals, and the Lp Spaces, 0 Riemann and Lebesgue Integrals Exercises Repeated Integration Fubini's Theorem Tonelli's Theorem Applications of Fubini's Theorem Exercises Differentiation The Indefinite Integral Lebesgue's Differentiation Theorem Vitali Covering Lemma Differentiation of Monotone Functions Absolutely Continuous and Singular Functions Convex Functions The Differential in Rn Exercises Lp Classes Definition of Lp Holder's Inequality and Minkowski's Inequality Classes l p Banach and Metric Space Properties The Space L2 and Orthogonality Fourier Series and Parseval's Formula Hilbert Spaces Exercises Approximations of the Identity and Maximal Functions Convolutions Approximations of the Identity The Hardy-Littlewood Maximal Function The Marcinkiewicz Integral Exercises Abstract Integration Additive Set Functions and Measures Measurable Functions and Integration Absolutely Continuous and Singular Set Functions and Measures The Dual Space of Lp Relative Differentiation of Measures Exercises Outer Measure and Measure Constructing Measures from Outer Measures Metric Outer Measures Lebesgue-Stieltjes Measure Hausdorff Measure Caratheodory-Hahn Extension Theorem Exercises A Few Facts from Harmonic Analysis Trigonometric Fourier Series Theorems about Fourier Coefficients Convergence of S[f] and SP[f] Divergence of Fourier Series Summability of Sequences and Series Summability of S[f] and SP[f] by the Method of the Arithmetic Mean Summability of S[f] by Abel Means Existence of f P Properties of f P for f Lp, 1 Application of Conjugate Functions to Partial Sums of S[f] Exercises The Fourier Transform The Fourier Transform on L1 The Fourier Transform on L2 The Hilbert Transform on L2 The Fourier Transform on Lp, 1 2 Exercises Fractional Integration Subrepresentation Formulas and Fractional Integrals L1, L1 Poincare Estimates and the Subrepresentation Formula Holder Classes Norm Estimates for Ialpha Exponential Integrability of Ialphaf Bounded Mean Oscillation Exercises Weak Derivatives and Poincare-Sobolev Estimates Weak Derivatives Approximation by Smooth Functions and Sobolev Spaces Poincare-Sobolev Estimates Exercises Notations Index