03323oam 2200433 450 991082049350332120190911112728.0981-4447-51-X(OCoLC)842932677(MiFhGG)GVRL8RED(EXLCZ)99267000000036184020130204h20132013 uy 0engurun|---uuuuatxtccrRandom walk in random and non-random environments /Pal Revesz, Technische Universitat Wien, Austria, and Renyi Institute Budapest, Hungary3rd ed.Singapore World Scientific2013New Jersey :World Scientific,[2013]�20131 online resource (xviii, 402 pages) illustrationsGale eBooksIncludes index. 981-4447-50-1 Includes bibliographical references (p. 379-396) and indexes.I. Simple symmetric random walk in [symbol]. Notations and abbreviations. 1. Introduction of part I. 2. Distributions. 3. Recurrence and the zero-one Law. 4. From the strong law of large numbers to the law of iterated logarithm. 5. Lévy classes. 6. Wiener process and invariance principle. 7. Increments. 8. Strassen type theorems. 9. Distribution of the local time. 10. Local time and invariance principle. 11. Strong theorems of the local time. 12. Excursions. 13. Frequently and rarely visited sites. 14. An embedding theorem. 15. A few further results. 16. Summary of part I -- II. Simple symmetric random walk in [symbol]. Notations. 17. The recurrence theorem. 18. Wiener process and invariance principle. 19. The law of iterated logarithm. 20. Local time. 21. The range. 22. Heavy points and heavy balls. 23. Crossing and self-crossing. 24. Large covered balls. 25. Long excursions. 26. Speed of escape. 27. A few further problems -- III. Random walk in random environment. Notations. 28. Introduction of part III. 29. In the first six days. 30. After the sixth day. 31. What can a physicist say about the local time [symbol]? 32. On the favourite value of the RWIRE. 33. A few further problems -- IV. Random walks in graphs. 34. Introduction of part IV. 35. Random walk in comb. 36. Random walk in a comb and in a brush with crossings. 37. Random walk on a spider. 38. Random walk in half-plane-half-comb.The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results - mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case of coin tossing. Taking advantage of this simplicity, the reader is familiarized with limit theorems (especially strong ones) without the burden of technical tools and difficulties. An easy way of considering the Wiener process is also given, through the study of the random walk.Random walks (Mathematics)Random walks (Mathematics)519.282Revesz Pal12634MiFhGGMiFhGGBOOK9910820493503321Random walk in random and non-random environments1491019UNINA