Dynamical  Systems and Processes

A subscription is required to access this book.

	FrontmatterDownload pp. i–iv
	PrefaceDownload pp. v–vii
	ContentsDownload pp. ix–xii
I	Part I Spectral theorems and convergence in meanp. 1
1	The von Neumann theorem and spectral regularizationpp. 3–60
2	Spectral representation of weakly stationary processespp. 61–89
II	Part II Ergodic Theoremsp. 91
3	Dynamical systems – ergodicity and mixingpp. 93–128
4	Pointwise ergodic theoremspp. 129–199
5	Banach principle and continuity principlepp. 200–229
6	Maximal operators and Gaussian processespp. 230–266
7	The central limit theorem for dynamical systemspp. 267–337
III	Part III Methods arising from the theory of stochastic processesp. 339
8	The metric entropy methodpp. 341–432
9	The majorizing measure methodpp. 433–490
10	Gaussian processespp. 491–546
IV	Part IV Three studiesp. 547
11	Riemann sumspp. 549–600
12	A study of the system $(f (n x))$ pp. 601–658
13	Divisors and random walkspp. 659–728
	Bibliographypp. 729–757
	Indexpp. 759–761