Brownian Motion

Höfundar: Peter Mörters; Yuval Peres (Útgáfa: 1)
Brownian Motion

Kaup valmöguleikar

Þessi langþráða kennslubók fjallar um allt sem framhaldsnemi í líkindafræði þarf að vita um Brown-hreyfingu, auk nýjustu rannsókna á sviðinu. Fyrst er farið yfir smíði Brown-hreyfingar og síðan eiginleika úrtaksferla, svo sem samfelldni og hvergi deildanleika. Hugtök um brotavídd eru kynnt snemma og notuð bókina á enda til að lýsa nákvæmum eiginleikum Brown-ferla.

Tengsl Brown-hreyfingar og slembigöngu eru könnuð frá ýmsum sjónarhornum, meðal annars með þróun kenningarinnar um staðartíma Brown-hreyfingar út frá ívörpun slembigöngu. Slembiheildun er kynnt sem verkfæri og aðgengileg umfjöllun um mættisfræði Brown-hreyfingar greiðir fyrir ítarlegri umfjöllun um skurðpunkta Brown-ferla. Rannsókn á sérstökum punktum Brown-ferla og viðauki um SLE-ferli eftir Oded Schramm og Wendelin Werner tengjast beint nýlegum rannsóknarefnum.

Nánar um bókina

Útgefandi
Cambridge University Press
ISBN
9781139930789
Print ISBN
9780521760188
Format
ePub
Útgáfa
1
Höfundar
Peter Mörters; Yuval Peres
Tungumál
English
Útgefið
2010-03-25
Prent takmörkun á líftíma
10
Prent takmörkun
5
Afritunar takmörkun
5

Kaflar

  • Cover
  • Half Title
  • Series Page
  • Title Page
  • Copyright
  • Contents
  • Preface
  • Frequently used notation
  • Motivation
  • 1. Brownian motion as a random function
  • 1.1 Paul Lévy’s construction of Brownian motion
  • 1.2 Continuity properties of Brownian motion
  • 1.3 Nondifferentiability of Brownian motion
  • 1.4 The Cameron–Martin theorem
  • Exercises
  • Notes and comments
  • 2. Brownian motion as a strong Markov process
  • 2.1 The Markov property and Blumenthal’s 0-1 law
  • 2.2 The strong Markov property and the reflection principle
  • 2.3 Markov processes derived from Brownian motion
  • 2.4 The martingale property of Brownian motion
  • Exercises
  • Notes and comments
  • 3. Harmonic functions, transience and recurrence
  • 3.1 Harmonic functions and the Dirichlet problem
  • 3.2 Recurrence and transience of Brownian motion
  • 3.3 Occupation measures and Green’s functions
  • 3.4 The harmonic measure
  • Exercises
  • Notes and comments
  • 4. Hausdorff dimension: Techniques and applications
  • 4.1 Minkowski and Hausdorff dimension
  • 4.2 The mass distribution principle
  • 4.3 The energy method
  • 4.4 Frostman’s lemma and capacity
  • Exercises
  • Notes and comments
  • 5. Brownian motion and random walk
  • 5.1 The law of the iterated logarithm
  • 5.2 Points of increase for random walk and Brownian motion
  • 5.3 Skorokhod embedding and Donsker’s invariance principle
  • 5.4 The arcsine laws for random walk and Brownian motion
  • 5.5 Pitman’s 2M − B theorem
  • Exercises
  • Notes and comments
  • 6. Brownian local time
  • 6.1 The local time at zero
  • 6.2 A random walk approach to the local time process
  • 6.3 The Ray–Knight theorem
  • 6.4 Brownian local time as a Hausdorff measure
  • Exercises
  • Notes and comments
  • 7. Stochastic integrals and applications
  • 7.1 Stochastic integrals with respect to Brownian motion
  • 7.2 Conformal invariance and winding numbers
  • 7.3 Tanaka’s formula and Brownian local time
  • 7.4 Feynman–Kac formulas and applications
  • Exercises
  • Notes and comments
  • 8. Potential theory of Brownian motion
  • 8.1 The Dirichlet problem revisited
  • 8.2 The equilibrium measure
  • 8.3 Polar sets and capacities
  • 8.4 Wiener’s test of regularity
  • Exercises
  • Notes and comments
  • 9. Intersections and self-intersections of Brownian paths
  • 9.1 Intersection of paths: Existence and Hausdorff dimension
  • 9.2 Intersection equivalence of Brownian motion and percolation limit sets
  • 9.3 Multiple points of Brownian paths
  • 9.4 Kaufman’s dimension doubling theorem
  • Exercises
  • Notes and comments
  • 10. Exceptional sets for Brownian motion
  • 10.1 The fast times of Brownian motion
  • 10.2 Packing dimension and limsup fractals
  • 10.3 Slow times of Brownian motion
  • 10.4 Cone points of planar Brownian motion
  • Exercises
  • Notes and comments
  • Appendix A: Further developments
  • 11. Stochastic Loewner evolution and planar Brownian motion
  • 11.1 Some subsets of planar Brownian paths
  • 11.2 Paths of stochastic Loewner evolution
  • 11.3 Special properties of SLE(6)
  • 11.4 Exponents of stochastic Loewner evolution
  • Notes and comments
  • Appendix B: Background and prerequisites
  • 12.1 Convergence of distributions
  • 12.2 Gaussian random variables
  • 12.3 Martingales in discrete time
  • 12.4 Trees and flows on trees
  • Hints and solutions for selected exercises
  • Selected open problems
  • Bibliography
  • Index