Diffusions, Markov Processes and Martingales: Volume 2, Itô CalculusThis celebrated book has been prepared with readers' needs in mind, remaining a systematic treatment of the subject whilst retaining its vitality. The second volume follows on from the first, concentrating on stochastic integrals, stochastic differential equations, excursion theory and the general theory of processes. Much effort has gone into making these subjects as accessible as possible by providing many concrete examples that illustrate techniques of calculation, and by treating all topics from the ground up, starting from simple cases. Many of the examples and proofs are new; some important calculational techniques appeared for the first time in this book. Together with its companion volume, this book helps equip graduate students for research into a subject of great intrinsic interest and wide application in physics, biology, engineering, finance and computer science. |
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Contents
II | 1 |
III | 2 |
V | 4 |
VI | 8 |
VII | 9 |
VIII | 10 |
IX | 11 |
X | 14 |
LXXXIX | 239 |
XC | 246 |
XCI | 250 |
XCII | 263 |
XCIV | 264 |
XCV | 264 |
XCVI | 265 |
XCVII | 267 |
XII | 15 |
XIII | 16 |
XIV | 17 |
XV | 18 |
XVI | 20 |
XVII | 21 |
XVIII | 23 |
XIX | 24 |
XX | 25 |
XXI | 27 |
XXII | 29 |
XXIII | 30 |
XXV | 33 |
XXVI | 37 |
XXVII | 42 |
XXX | 45 |
XXXI | 46 |
XXXII | 47 |
XXXIII | 50 |
XXXIV | 52 |
XXXVII | 57 |
XXXVIII | 58 |
XXXIX | 63 |
XL | 64 |
XLI | 69 |
XLII | 73 |
XLIII | 75 |
XLIV | 79 |
XLV | 83 |
XLVI | 86 |
XLVII | 89 |
XLVIII | 93 |
XLIX | 95 |
L | 99 |
LI | 102 |
LII | 106 |
LIII | 108 |
LIV | 110 |
LV | 112 |
LVI | 113 |
LVII | 114 |
LIX | 117 |
LX | 119 |
LXI | 122 |
LXII | 124 |
LXIII | 125 |
LXIV | 128 |
LXV | 132 |
LXVI | 136 |
LXVII | 141 |
LXVIII | 144 |
LXIX | 149 |
LXX | 151 |
LXXI | 155 |
LXXII | 158 |
LXXIII | 160 |
LXXIV | 162 |
LXXV | 163 |
LXXVI | 166 |
LXXVII | 170 |
LXXVIII | 173 |
LXXIX | 175 |
LXXX | 177 |
LXXXI | 178 |
LXXXII | 181 |
LXXXIII | 182 |
LXXXIV | 186 |
LXXXV | 193 |
LXXXVI | 198 |
LXXXVII | 203 |
LXXXVIII | 224 |
XCVIII | 268 |
C | 269 |
CI | 271 |
CII | 274 |
CIII | 282 |
CIV | 287 |
CV | 289 |
CVI | 293 |
CVII | 295 |
CVIII | 298 |
CIX | 299 |
CX | 302 |
CXIV | 306 |
CXV | 311 |
CXVI | 313 |
CXVII | 315 |
CXVIII | 316 |
CXIX | 317 |
CXX | 320 |
CXXI | 325 |
CXXII | 327 |
CXXIII | 329 |
CXXIV | 330 |
CXXVI | 332 |
CXXVII | 334 |
CXXVIII | 336 |
CXXIX | 338 |
CXXX | 341 |
CXXXI | 344 |
CXXXII | 345 |
CXXXIV | 347 |
CXXXV | 348 |
CXXXVI | 350 |
CXXXVII | 352 |
CXXXVIII | 356 |
CXXXIX | 357 |
CXL | 358 |
CXLI | 359 |
CXLII | 362 |
CXLIII | 365 |
CXLV | 367 |
CXLVI | 370 |
CXLVII | 372 |
CXLVIII | 373 |
CXLIX | 374 |
CL | 375 |
CLI | 380 |
CLIII | 386 |
CLIV | 389 |
CLV | 392 |
CLVII | 396 |
CLIX | 398 |
CLX | 403 |
CLXI | 404 |
CLXII | 408 |
CLXIII | 411 |
CLXIV | 414 |
CLXV | 416 |
CLXVI | 418 |
CLXVII | 423 |
CLXVIII | 426 |
CLXIX | 429 |
CLXX | 430 |
CLXXI | 431 |
CLXXII | 436 |
CLXXIII | 437 |
CLXXIV | 440 |
CLXXV | 443 |
CLXXVI | 447 |
467 | |
Other editions - View all
Diffusions, Markov Processes, and Martingales: Volume 1, Foundations L. C. G. Rogers,David Williams No preview available - 2000 |
Diffusions, Markov Processes and Martingales: Volume 2, Itô Calculus L. C. G. Rogers,David Williams No preview available - 2000 |
Common terms and phrases
1-dimensional adapted apply argument assume bounded Brownian motion calculus called Chapter consider constant construct continuous coordinates course decomposition define definition denote derivative described differential diffusion distribution element equation example excursion Exercise exists extension fact finite fixed follows formula function give given Hence holds idea immediately implies important increasing process independent integral interval Itô Lemma locally manifold Markov martingale problem mean measure metric Meyer Moreover natural notation Note null obtain obvious optional path pathwise positive previsible probability projection Proof prove random Recall regular relative Remarks respect result satisfies scale semimartingale sequence set-up smooth solution solves space starting stochastic integral stopping strong Suppose tangent tangent vector Theorem theory true unique usual values variation vector fields weak write zero