Probabilistic Number Theory I: Mean-Value Theorems

Volume I.- About This Book.- 1. Necessary Results from Measure Theory.- Steinhaus' Lemma.- Cauchy's Functional Equation.- Slowly Oscillating Functions.- Halasz' Lemma.- Fourier Analysis on the Line: Plancherel's Theory.- The Theory of Probability.- Weak Convergence.- Lévy's Metric.- Characteristic Functions.- Random Variables.- Concentration Functions.- Infinite Convolutions.- Kolmogorov's Inequality.- Lévy's Continuity Criterion.- Purity of Type.- Wiener's Continuity Criterion.- Infinitely Divisible Laws.- Convergence of Infinitely Divisible Laws.- Limit Theorems for Sums of Independent Infinitesimal Random Variables.- Analytic Characteristic Functions.- The Method of Moments.- Mellin - Stieltjes Transforms.- Distribution Functions (mod 1).- Quantitative Fourier Inversion.- Berry-Esseen Theorem.- Concluding Remarks.- 2. Arithmetical Results, Dirichlet Series.- Selberg's Sieve Method; a Fundamental Lemma.- Upper Bound.- Lower Bound.- Distribution of Prime Numbers.- Dirichlet Series.- Euler Products.- Riemann Zeta Function.- Wiener-Ikehara Tauberian Theorem.- Hardy-Littlewood Tauberian Theorem.- Quadratic Class Number, Dirichlet's Identity.- Concluding Remarks.- 3. Finite Probability Spaces.- The Model of Kubilius.- Large Deviation Inequality.- A General Model.- Multiplicative Functions.- Concluding Remarks.- 4. The Turán-Kubilius Inequality and Its Dual.- A Principle of Duality.- The Least Pair of Quadratic Non-Residues (mod p).- Further Inequalities.- More on the Duality Principle.- The Large Sieve.- An Application of the Large Sieve.- Concluding Remarks.- 5. The Erdös-Wintner Theorem.- The Erdös-Wintner Theorem.- Examples ?(n),?(n).- Limiting Distributions with Finite Mean and Variance.- The Function ?(n).- Modulus of Continuity, an Example of an Erdös Proof.- Commentary on Erdös' Proof.- Concluding Remarks.- Alternative Proof of the Continuity of the Limit Law.- 6. Theorems of Delange, Wirsing, and Halász.- Statement of the Main Theorems.- Application of Parseval's Formula.- Montgomery's Lemma.- Product Representation of Dirichlet Series (Lemma 6.6).- Quantitative form of Halász' Theorem for Mean-Value Zero.- Concluding Remarks.- 7. Translates of Additive and Multiplicative Functions.- Translates of Additive Functions.- Finitely Distributed Additive Functions.- The Surrealistic Continuity Theorem (Theorem 7.3).- Additive Functions with Finite First and Second Means.- Distribution of Multiplicative Functions.- Criterion for Essential Vanishing.- Modified-weak Convergence.- Main Theorems for Multiplicative Functions.- Examples.- Concluding Remarks.- 8. Distribution of Additive Functions (mod 1).- Existence of Limiting Distributions.- Erdös' Conjecture.- The Nature of the Limit Law.- The Application of Schnirelmann Density.- Falsity of Erdös' Conjecture.- Translation of Additive Functions (mod 1), Existence of Limiting Distribution.- Concluding Remarks.- 9. Mean Values of Multiplicative Functions, Halász' Method.- Halász' Main Theorem (Theorem (9.1)).- Halász' Lemma (Lemma (9.4)).- Connections with the Large Sieve.- Halász's Second Lemma (Lemma (9.5)).- Quantitative Form of Perron's Theorem (Lemma (9.6)).- Proof of Theorem (9.1).- Remarks.- 10. Multiplicative Functions with First and Second Means.- Statement of the Main Result (Theorem 10.1).- Outline of the Argument.- Application of the Dual of the Turán-Kubilius Inequality.- Study of Dirichlet Series.- Removal of the Condition p p0.- Application of a Method of Halász.- Application of the Hardy-Little wood Tauberian Theorem.- Application of a Theorem of Halász.- Conclusion of Proof.- Concluding Remarks.- References (Roman).- References (Cyrillic).- Author Index xxm.