The Mathematics of ChanceCHANCE / MATHEMATICS

The Mathematics of Chance / ContentsPage progress

Proof Scope of the Early Six Chapters

This table records the historical proof scope of the early six-chapter manuscript, not the current book’s completion state. Chapters 11–12 and the foundation companions provide later proofs. Consult the topic index for current ownership and pending results.

G. The Limits of the Proofs of Deeper Theorems

Location in the text What this book actually supplies What is still invoked as a known result
Chapter 2: long-run frequencies and posteriors Finite-variance weak law of large numbers; specific beta–Bernoulli calculations The reference to the strong law does not include a complete proof of the general strong law
Chapter 3: characteristic-function approach Second-order expansion and product limit; Appendix D supplies remainder control Lévy's continuity theorem and uniqueness of characteristic functions; the integral calculation of the Cauchy characteristic function remains a known example
Section 4.7 Interpolation, path space, and the distinction between finite-dimensional convergence and tightness The complete tightness proof for Donsker's invariance principle
Section 4.8 Consistent finite-dimensional distributions and a fourth-moment continuity estimate Complete proofs of the Kolmogorov extension and continuous-modification theorems
Section 4.10 Increment scaling, quadratic variation, and its conflict with smoothness The complete proof of almost-sure nowhere differentiability; an argument at a fixed time cannot be applied directly across uncountably many times
Section 4.11 The pathwise idea of reflection and the maximum formula Measure preservation of the reflection transformation can be established using the strong Markov property; the strong Markov theorem itself is not proved in the six chapters
Section 5.8 The original proof strategy; Appendices A and B supply closure, additivity, and treatment of cover endpoints The listed gaps have now been filled here
Section 6.12 The original route through rectangles, simple functions, and convergence; Appendix C supplies the intermediate set argument The \pi-\lambda theorem is invoked as a set-theoretic tool