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Random dynamical system

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2178: 22: 1985: 1992: 754: 485: 1841: 2173:{\displaystyle M=0.18\left({\begin{array}{cc}0&1\\0&1\end{array}}\right)+0.28\left({\begin{array}{cc}1&0\\1&0\end{array}}\right)+0.42\left({\begin{array}{cc}0&1\\1&0\end{array}}\right)+0.12\left({\begin{array}{cc}1&0\\0&1\end{array}}\right).} 3100: 987:) is a (local, left-sided) random dynamical system. The process of generating a "flow" from the solution to a stochastic differential equation leads us to study suitably defined "flows" on their own. These "flows" are random dynamical systems. 3470: 832: 605: 1671: 1836: 2555: 3656: 2433: 2675: 3011: 2912: 2287: 1980:{\displaystyle M=0.6\left({\begin{array}{cc}0&1\\1&0\end{array}}\right)+0.3\left({\begin{array}{cc}1&0\\0&1\end{array}}\right)+0.1\left({\begin{array}{cc}1&0\\1&0\end{array}}\right).} 1707:
Reversely, can, and how, a given MC be represented by the compositions of i.i.d. random transformations? Yes, it can, but not unique. The proof for existence is similar with Birkhoff–von Neumann theorem for
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for a random dynamical system is not as straightforward to define as in the deterministic case. For technical reasons, it is necessary to "rewind time", as in the definition of a
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While true in most applications, it is not usually part of the formal definition of a random dynamical system to require that the
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that represents the random choice of map. Motion in a random dynamical system can be informally thought of as a state
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consists of a base flow, the "noise", and a cocycle dynamical system on the "physical" phase space. In detail.
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instead of time 0". Thus, the cocycle property can be read as saying that evolving the initial condition
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evolving according to a succession of maps randomly chosen according to the distribution
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into itself that can be thought of as the set of all possible equations of motion, and a
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expressed in terms of deterministic transition matrices. Then a Markov transition matrix
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exists for all positive time and some (small) interval of negative time dependent upon
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have an element of randomness to them. Random dynamical systems are characterized by a
5373: 5212: 4753: 4590: 4585: 4543: 4485: 4307: 4223: 4163: 4076: 2804:; for discrete-time random dynamical systems, one would consider only integer-valued 1831:{\displaystyle M=\left({\begin{array}{cc}0.4&0.6\\0.7&0.3\end{array}}\right)} 3973: 1199:. It is a binary matrix but it has exactly one entry 1 in each row and 0s otherwise. 5270: 5232: 4786: 4718: 4607: 4602: 4414: 4347: 4322: 4158: 3920: 2960: 2784:. For one-sided random dynamical systems, one would consider only positive indices 1701: 923: 284: 4850: 3950:
Bhattacharya, Rabi; Majumdar, Mukul (2003). "Random dynamical systems: a review".
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An i.i.d random dynamical system in the discrete space is described by a triplet
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Crauel, Hans; Debussche, Arnaud; Flandoli, Franco (1997). "Random attractors".
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can be represented by the following decomposition by the min-max algorithm,
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Generalized autoregressive conditional heteroskedasticity (GARCH) model
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Here is an example that illustrates the existence and non-uniqueness.
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In the case of random dynamical systems driven by a Wiener process
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is constructed by means of composition of independent random maps,
3006:{\displaystyle \varphi :\mathbb {R} \times \Omega \times X\to X} 2907:{\displaystyle (\Omega ,{\mathcal {F}},\mathbb {P} ,\vartheta )} 2282:{\displaystyle \vartheta :\mathbb {R} \times \Omega \to \Omega } 558:{\displaystyle W:\mathbb {R} \times \Omega \to \mathbb {R} ^{d}} 4090: 3989:"Stochastic dynamics: Markov chains and random transformations" 759:
In this context, the Wiener process is the coordinate process.
15: 912:{\displaystyle \varphi (t,\omega ,x_{0}):=X(t,\omega ;x_{0})} 209:
Motivation 1: Solutions to a stochastic differential equation
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Autoregressive conditional heteroskedasticity (ARCH) model
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Independent and identically distributed random variables
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The discrete random dynamical system comes as follows,
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Autoregressive integrated moving average (ARIMA) model
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Ye, Felix X.-F.; Wang, Yue; Qian, Hong (August 2016).
376: 256:{\displaystyle f:\mathbb {R} ^{d}\to \mathbb {R} ^{d}} 3897: 3849: 3822: 3802: 3782: 3762: 3742: 3715: 3695: 3668: 3565: 3523: 3483: 3376: 3344: 3317: 3252: 3226: 3203: 3138: 3112: 3019: 2973: 2927: 2870: 2830: 2810: 2790: 2777:{\displaystyle (\Omega ,{\mathcal {F}},\mathbb {P} )} 2746: 2714: 2687: 2624: 2590: 2567: 2506: 2471: 2441: 2369: 2323: 2295: 2255: 2231:{\displaystyle (\Omega ,{\mathcal {F}},\mathbb {P} )} 2200: 1995: 1844: 1785: 1765: 1727: 1679: 1585: 1558: 1495: 1475: 1448: 1389: 1369: 1349: 1322: 1302: 1275: 1247: 1227: 1207: 1175: 1149: 1129: 1062: 1042: 1001: 952: 932: 843: 776: 608: 571: 522: 496: 370: 319: 293: 269: 219: 158: 138: 107: 3993:
Discrete and Continuous Dynamical Systems - Series B
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may be too technical for most readers to understand
3903: 3867: 3835: 3808: 3788: 3768: 3748: 3728: 3701: 3681: 3650: 3548: 3509: 3464: 3356: 3323: 3298:{\displaystyle (t,x)\mapsto \varphi (t,\omega ,x)} 3297: 3238: 3209: 3189: 3124: 3094: 3005: 2945: 2906: 2843: 2816: 2796: 2776: 2740:of measure-preserving transformation of the noise 2728: 2700: 2669: 2610: 2573: 2549: 2485: 2457: 2427: 2348: 2309: 2281: 2230: 2172: 1979: 1830: 1771: 1751: 1692: 1665: 1571: 1537: 1481: 1461: 1431: 1375: 1355: 1335: 1308: 1288: 1253: 1233: 1213: 1187: 1161: 1135: 1113: 1048: 1025: 979: 938: 911: 826: 748: 577: 557: 508: 479: 353: 305: 275: 255: 170: 144: 113: 3796:seconds with the same noise (as started from the 3549:{\displaystyle \vartheta _{s}:\Omega \to \Omega } 3510:{\displaystyle W:\mathbb {R} \times \Omega \to X} 2349:{\displaystyle \vartheta _{s}:\Omega \to \Omega } 4513:Stochastic chains with memory of variable length 3816:seconds mark) gives the same result as evolving 1989:In the meantime, another decomposition could be 1469:is chosen according to the probability measure 1363:is chosen according to the probability measure 4049:Journal of Dynamics and Differential Equations 4102: 1114:{\displaystyle \{s_{1},s_{2},\cdots ,s_{n}\}} 185:An example of a random dynamical system is a 8: 1746: 1734: 1442:Independently of previous maps, another map 1108: 1063: 980:{\displaystyle (\mathbb {R} ^{d},\varphi )} 4641:Autoregressive–moving-average (ARMA) model 4109: 4095: 4087: 4004: 3896: 3848: 3827: 3821: 3801: 3781: 3761: 3741: 3720: 3714: 3694: 3673: 3667: 3582: 3564: 3528: 3522: 3491: 3490: 3482: 3393: 3375: 3343: 3316: 3251: 3225: 3202: 3169: 3161: 3137: 3111: 3074: 3073: 3055: 3054: 3045: 3044: 3034: 3033: 3024: 3023: 3018: 2981: 2980: 2972: 2926: 2891: 2890: 2881: 2880: 2869: 2835: 2829: 2809: 2789: 2767: 2766: 2757: 2756: 2745: 2722: 2721: 2713: 2692: 2686: 2655: 2642: 2629: 2623: 2604: 2603: 2589: 2566: 2529: 2521: 2511: 2505: 2479: 2478: 2470: 2449: 2448: 2440: 2404: 2399: 2388: 2387: 2371: 2370: 2368: 2328: 2322: 2303: 2302: 2294: 2263: 2262: 2254: 2221: 2220: 2211: 2210: 2199: 2135: 2093: 2051: 2009: 1994: 1942: 1900: 1858: 1843: 1796: 1784: 1764: 1726: 1684: 1678: 1654: 1641: 1616: 1603: 1590: 1584: 1563: 1557: 1526: 1513: 1500: 1494: 1474: 1453: 1447: 1420: 1407: 1394: 1388: 1368: 1348: 1327: 1321: 1301: 1280: 1274: 1246: 1226: 1206: 1174: 1148: 1128: 1102: 1083: 1070: 1061: 1041: 1000: 962: 958: 957: 951: 931: 900: 866: 842: 818: 814: 813: 803: 799: 798: 784: 783: 775: 720: 716: 715: 707: 706: 697: 684: 683: 671: 667: 666: 658: 657: 648: 629: 628: 619: 618: 607: 570: 549: 545: 544: 530: 529: 521: 495: 461: 418: 417: 403: 402: 379: 375: 369: 342: 318: 292: 268: 247: 243: 242: 232: 228: 227: 218: 157: 137: 106: 59:Learn how and when to remove this message 43:, without removing the technical details. 1538:{\displaystyle x_{2}=\alpha _{2}(x_{1})} 1432:{\displaystyle x_{1}=\alpha _{1}(x_{0})} 991:Motivation 2: Connection to Markov Chain 361:to the stochastic differential equation 3942: 3879:Attractors for random dynamical systems 593:). Implicitly, this statement uses the 4947:Doob's martingale convergence theorems 4699:Constant elasticity of variance (CEV) 4689:Chan–Karolyi–Longstaff–Sanders (CKLS) 41:make it understandable to non-experts 7: 2863:measure-preserving dynamical system 2611:{\displaystyle s,t\in \mathbb {R} } 2458:{\displaystyle E\in {\mathcal {F}}} 1759:and the set of the transformations 201:dynamical system on the "physical" 83:is a dynamical system in which the 5186:Skorokhod's representation theorem 4967:Law of large numbers (weak/strong) 3543: 3537: 3498: 3357:{\displaystyle \omega \in \Omega } 3351: 3239:{\displaystyle \omega \in \Omega } 3233: 3165: 3162: 3125:{\displaystyle \omega \in \Omega } 3119: 2988: 2874: 2750: 2568: 2544: 2538: 2530: 2525: 2522: 2343: 2337: 2276: 2270: 2204: 1766: 1489:and the system moves to the state 1383:and the system moves to the state 1350: 1248: 1221:is the probability measure of the 1130: 1011: 791: 612: 537: 509:{\displaystyle \omega \in \Omega } 503: 419: 404: 380: 354:{\displaystyle X(t,\omega ;x_{0})} 139: 108: 14: 5385:Stochastic differential equations 5156:Martingale representation theorem 2729:{\displaystyle s\in \mathbb {R} } 2486:{\displaystyle s\in \mathbb {R} } 2310:{\displaystyle s\in \mathbb {R} } 922:(whenever the right hand side is 306:{\displaystyle \varepsilon >0} 5201:Stochastic differential equation 5091:Doob's optional stopping theorem 5086:Doob–Meyer decomposition theorem 3662:This can be read as saying that 187:stochastic differential equation 20: 5071:Convergence of random variables 4957:Fisher–Tippett–Gnedenko theorem 3102:-measurable function such that 1197:deterministic transition matrix 4669:Binomial options pricing model 3875:seconds with that same noise. 3862: 3850: 3682:{\displaystyle \vartheta _{s}} 3645: 3633: 3624: 3606: 3597: 3594: 3588: 3569: 3540: 3501: 3456: 3438: 3429: 3417: 3408: 3405: 3399: 3380: 3292: 3274: 3268: 3265: 3253: 3181: 3154: 3142: 3089: 3086: 3080: 3067: 3061: 3038: 3030: 3020: 2997: 2940: 2928: 2901: 2871: 2844:{\displaystyle \vartheta _{s}} 2771: 2747: 2701:{\displaystyle \vartheta _{s}} 2541: 2422: 2419: 2413: 2392: 2381: 2375: 2340: 2273: 2225: 2201: 1660: 1647: 1532: 1519: 1426: 1413: 1195:matrix representation, called 1162:{\displaystyle S\rightarrow S} 1153: 1020: 1002: 974: 953: 946:(or, more precisely, the pair 906: 881: 872: 847: 809: 729: 726: 703: 690: 677: 654: 633: 609: 540: 451: 445: 432: 426: 399: 393: 348: 323: 238: 1: 5136:Kolmogorov continuity theorem 4972:Law of the iterated logarithm 1026:{\displaystyle (S,\Gamma ,Q)} 5141:Kolmogorov extension theorem 4820:Generalized queueing network 4328:Interacting particle systems 2289:as follows: for each "time" 1269:The system is in some state 313:. Suppose that the solution 4273:Continuous-time random walk 3197:, the identity function on 2824:; in these cases, the maps 1462:{\displaystyle \alpha _{2}} 1336:{\displaystyle \alpha _{1}} 5406: 5281:Extreme value theory (EVT) 5081:Doob decomposition theorem 4373:Ornstein–Uhlenbeck process 4144:Chinese restaurant process 3689:"starts the noise at time 5349: 5161:Optional stopping theorem 4962:Large deviation principle 4714:Heath–Jarrow–Morton (HJM) 4651:Moving-average (MA) model 4636:Autoregressive (AR) model 4461:Hidden Markov model (HMM) 4395:Schramm–Loewner evolution 3966:10.1007/s00199-003-0357-4 3776:seconds and then through 1752:{\displaystyle S=\{1,2\}} 1188:{\displaystyle n\times n} 5380:Random dynamical systems 5076:DolĂ©ans-Dade exponential 4906:Progressively measurable 4704:Cox–Ingersoll–Ross (CIR) 4023:Random Dynamical Systems 3324:{\displaystyle \varphi } 2356:be a measure-preserving 1710:doubly stochastic matrix 939:{\displaystyle \varphi } 127:probability distribution 5296:Mathematical statistics 5286:Large deviations theory 5116:Infinitesimal generator 4977:Maximal ergodic theorem 4896:Piecewise-deterministic 4498:Random dynamical system 4363:Markov additive process 4020:Arnold, Ludwig (1998). 3904:{\displaystyle \omega } 3749:{\displaystyle \omega } 2574:{\displaystyle \Omega } 2189:random dynamical system 1772:{\displaystyle \Gamma } 1356:{\displaystyle \Gamma } 1254:{\displaystyle \Gamma } 1234:{\displaystyle \sigma } 1143:is a family of maps of 1136:{\displaystyle \Gamma } 145:{\displaystyle \Gamma } 114:{\displaystyle \Gamma } 81:random dynamical system 5131:Karhunen–Loève theorem 5066:Cameron–Martin formula 5030:Burkholder–Davis–Gundy 4425:Variance gamma process 3905: 3869: 3837: 3810: 3790: 3770: 3750: 3730: 3703: 3683: 3652: 3550: 3511: 3466: 3358: 3331:satisfies the (crude) 3325: 3299: 3240: 3211: 3191: 3126: 3096: 3007: 2947: 2908: 2845: 2818: 2798: 2778: 2730: 2702: 2671: 2612: 2575: 2551: 2487: 2459: 2429: 2350: 2311: 2283: 2232: 2174: 1981: 1832: 1773: 1753: 1694: 1667: 1573: 1548:The procedure repeats. 1539: 1483: 1463: 1433: 1377: 1357: 1337: 1310: 1290: 1255: 1235: 1215: 1189: 1169:. Each such map has a 1163: 1137: 1115: 1050: 1027: 981: 940: 913: 828: 750: 579: 559: 510: 481: 355: 307: 277: 257: 172: 171:{\displaystyle X\in S} 146: 115: 5261:Actuarial mathematics 5223:Uniform integrability 5218:Stratonovich integral 5146:LĂ©vy–Prokhorov metric 5050:Marcinkiewicz–Zygmund 4937:Central limit theorem 4539:Gaussian random field 4368:McKean–Vlasov process 4288:Dyson Brownian motion 4149:Galton–Watson process 4006:10.3934/dcdsb.2016050 3906: 3870: 3868:{\displaystyle (t+s)} 3838: 3836:{\displaystyle x_{0}} 3811: 3791: 3771: 3751: 3731: 3729:{\displaystyle x_{0}} 3704: 3684: 3653: 3551: 3512: 3467: 3359: 3326: 3300: 3241: 3212: 3192: 3127: 3097: 3008: 2948: 2946:{\displaystyle (X,d)} 2909: 2846: 2819: 2799: 2779: 2731: 2703: 2672: 2613: 2576: 2552: 2488: 2460: 2430: 2351: 2312: 2284: 2233: 2175: 1982: 1833: 1774: 1754: 1695: 1693:{\displaystyle X_{n}} 1668: 1574: 1572:{\displaystyle X_{n}} 1540: 1484: 1464: 1434: 1378: 1358: 1338: 1311: 1291: 1289:{\displaystyle x_{0}} 1256: 1236: 1216: 1190: 1164: 1138: 1116: 1051: 1028: 982: 941: 914: 829: 751: 580: 560: 511: 482: 356: 308: 278: 258: 197:, the "noise", and a 173: 147: 116: 5390:Stochastic processes 5336:Time series analysis 5291:Mathematical finance 5176:Reflection principle 4503:Regenerative process 4303:Fleming–Viot process 4118:Stochastic processes 3895: 3847: 3820: 3800: 3780: 3760: 3740: 3713: 3693: 3666: 3563: 3521: 3481: 3374: 3342: 3315: 3250: 3224: 3201: 3136: 3110: 3017: 2971: 2925: 2868: 2858:instead of a group. 2828: 2808: 2788: 2744: 2712: 2685: 2622: 2588: 2565: 2504: 2469: 2439: 2367: 2321: 2293: 2253: 2198: 1993: 1842: 1783: 1763: 1725: 1677: 1583: 1556: 1552:The random variable 1493: 1473: 1446: 1387: 1367: 1347: 1320: 1300: 1273: 1245: 1225: 1205: 1173: 1147: 1127: 1060: 1056:is the state space, 1040: 999: 950: 930: 841: 774: 606: 569: 520: 494: 368: 317: 291: 267: 217: 156: 136: 105: 5331:Stochastic analysis 5171:Quadratic variation 5166:Prokhorov's theorem 5101:Feynman–Kac formula 4571:Markov random field 4219:Birth–death process 4061:1997JDDE....9..307C 2412: 2358:measurable function 1721:If the state space 193:. It consists of a 85:equations of motion 5301:Probability theory 5181:Skorokhod integral 5151:Malliavin calculus 4734:Korn-Kreer-Lenssen 4618:Time series models 4581:Pitman–Yor process 4069:10.1007/BF02219225 3931:Stochastic control 3901: 3889:pullback attractor 3865: 3833: 3806: 3786: 3766: 3746: 3726: 3699: 3679: 3648: 3556:would be given by 3546: 3507: 3462: 3354: 3321: 3295: 3236: 3207: 3187: 3122: 3092: 3003: 2943: 2904: 2851:would only form a 2841: 2814: 2794: 2774: 2726: 2698: 2667: 2608: 2571: 2547: 2497:Suppose also that 2483: 2455: 2425: 2395: 2346: 2307: 2279: 2246:space. Define the 2228: 2170: 2161: 2119: 2077: 2035: 1977: 1968: 1926: 1884: 1828: 1822: 1769: 1749: 1690: 1663: 1569: 1535: 1479: 1459: 1429: 1373: 1353: 1333: 1306: 1286: 1251: 1231: 1211: 1185: 1159: 1133: 1111: 1046: 1023: 977: 936: 909: 824: 746: 575: 555: 506: 477: 472: 351: 303: 273: 253: 168: 142: 111: 5367: 5366: 5321:Signal processing 5040:Doob's upcrossing 5035:Doob's martingale 4999:Engelbert–Schmidt 4942:Donsker's theorem 4876:Feller-continuous 4744:Rendleman–Bartter 4534:Dirichlet process 4451:Branching process 4420:Telegraph process 4313:Geometric process 4293:Empirical process 4283:Diffusion process 4139:Branching process 4134:Bernoulli process 3926:Diffusion process 3883:The notion of an 3809:{\displaystyle s} 3789:{\displaystyle t} 3769:{\displaystyle s} 3702:{\displaystyle s} 3220:for (almost) all 3210:{\displaystyle X} 2817:{\displaystyle s} 2797:{\displaystyle s} 2559:identity function 2240:probability space 2183:Formal definition 1482:{\displaystyle Q} 1376:{\displaystyle Q} 1309:{\displaystyle S} 1214:{\displaystyle Q} 1049:{\displaystyle S} 768:solution operator 598:probability space 578:{\displaystyle d} 276:{\displaystyle d} 77:dynamical systems 69: 68: 61: 5397: 5341:Machine learning 5228:Usual hypotheses 5111:Girsanov theorem 5096:Dynkin's formula 4861:Continuous paths 4769:Actuarial models 4709:Garman–Kohlhagen 4679:Black–Karasinski 4674:Black–Derman–Toy 4661:Financial models 4527:Fields and other 4456:Gaussian process 4405:Sigma-martingale 4209:Additive process 4111: 4104: 4097: 4088: 4081: 4080: 4044: 4038: 4037: 4017: 4011: 4010: 4008: 3999:(7): 2337–2361. 3984: 3978: 3977: 3947: 3910: 3908: 3907: 3902: 3874: 3872: 3871: 3866: 3842: 3840: 3839: 3834: 3832: 3831: 3815: 3813: 3812: 3807: 3795: 3793: 3792: 3787: 3775: 3773: 3772: 3767: 3755: 3753: 3752: 3747: 3736:with some noise 3735: 3733: 3732: 3727: 3725: 3724: 3708: 3706: 3705: 3700: 3688: 3686: 3685: 3680: 3678: 3677: 3657: 3655: 3654: 3649: 3587: 3586: 3555: 3553: 3552: 3547: 3533: 3532: 3517:, the base flow 3516: 3514: 3513: 3508: 3494: 3471: 3469: 3468: 3463: 3398: 3397: 3363: 3361: 3360: 3355: 3333:cocycle property 3330: 3328: 3327: 3322: 3304: 3302: 3301: 3296: 3245: 3243: 3242: 3237: 3216: 3214: 3213: 3208: 3196: 3194: 3193: 3188: 3174: 3173: 3168: 3131: 3129: 3128: 3123: 3101: 3099: 3098: 3093: 3079: 3078: 3060: 3059: 3050: 3049: 3037: 3029: 3028: 3012: 3010: 3009: 3004: 2984: 2952: 2950: 2949: 2944: 2913: 2911: 2910: 2905: 2894: 2886: 2885: 2850: 2848: 2847: 2842: 2840: 2839: 2823: 2821: 2820: 2815: 2803: 2801: 2800: 2795: 2783: 2781: 2780: 2775: 2770: 2762: 2761: 2735: 2733: 2732: 2727: 2725: 2707: 2705: 2704: 2699: 2697: 2696: 2676: 2674: 2673: 2668: 2666: 2665: 2647: 2646: 2634: 2633: 2617: 2615: 2614: 2609: 2607: 2580: 2578: 2577: 2572: 2556: 2554: 2553: 2548: 2534: 2533: 2528: 2516: 2515: 2492: 2490: 2489: 2484: 2482: 2464: 2462: 2461: 2456: 2454: 2453: 2434: 2432: 2431: 2426: 2411: 2403: 2391: 2374: 2355: 2353: 2352: 2347: 2333: 2332: 2316: 2314: 2313: 2308: 2306: 2288: 2286: 2285: 2280: 2266: 2237: 2235: 2234: 2229: 2224: 2216: 2215: 2179: 2177: 2176: 2171: 2166: 2162: 2124: 2120: 2082: 2078: 2040: 2036: 1986: 1984: 1983: 1978: 1973: 1969: 1931: 1927: 1889: 1885: 1837: 1835: 1834: 1829: 1827: 1823: 1778: 1776: 1775: 1770: 1758: 1756: 1755: 1750: 1699: 1697: 1696: 1691: 1689: 1688: 1672: 1670: 1669: 1664: 1659: 1658: 1646: 1645: 1627: 1626: 1608: 1607: 1595: 1594: 1578: 1576: 1575: 1570: 1568: 1567: 1544: 1542: 1541: 1536: 1531: 1530: 1518: 1517: 1505: 1504: 1488: 1486: 1485: 1480: 1468: 1466: 1465: 1460: 1458: 1457: 1438: 1436: 1435: 1430: 1425: 1424: 1412: 1411: 1399: 1398: 1382: 1380: 1379: 1374: 1362: 1360: 1359: 1354: 1342: 1340: 1339: 1334: 1332: 1331: 1315: 1313: 1312: 1307: 1295: 1293: 1292: 1287: 1285: 1284: 1260: 1258: 1257: 1252: 1240: 1238: 1237: 1232: 1220: 1218: 1217: 1212: 1194: 1192: 1191: 1186: 1168: 1166: 1165: 1160: 1142: 1140: 1139: 1134: 1120: 1118: 1117: 1112: 1107: 1106: 1088: 1087: 1075: 1074: 1055: 1053: 1052: 1047: 1032: 1030: 1029: 1024: 986: 984: 983: 978: 967: 966: 961: 945: 943: 942: 937: 918: 916: 915: 910: 905: 904: 871: 870: 833: 831: 830: 825: 823: 822: 817: 808: 807: 802: 787: 755: 753: 752: 747: 742: 738: 725: 724: 719: 710: 702: 701: 689: 688: 676: 675: 670: 661: 653: 652: 632: 624: 623: 595:classical Wiener 584: 582: 581: 576: 564: 562: 561: 556: 554: 553: 548: 533: 515: 513: 512: 507: 486: 484: 483: 478: 476: 473: 466: 465: 422: 407: 383: 360: 358: 357: 352: 347: 346: 312: 310: 309: 304: 282: 280: 279: 274: 262: 260: 259: 254: 252: 251: 246: 237: 236: 231: 177: 175: 174: 169: 151: 149: 148: 143: 120: 118: 117: 112: 64: 57: 53: 50: 44: 24: 23: 16: 5405: 5404: 5400: 5399: 5398: 5396: 5395: 5394: 5370: 5369: 5368: 5363: 5345: 5306:Queueing theory 5249: 5191:Skorokhod space 5054: 5045:Kunita–Watanabe 5016: 4982:Sanov's theorem 4952:Ergodic theorem 4925: 4921:Time-reversible 4839: 4802:Queueing models 4796: 4792:Sparre–Anderson 4782:CramĂ©r–Lundberg 4763: 4749:SABR volatility 4655: 4612: 4564:Boolean network 4522: 4508:Renewal process 4439: 4388:Non-homogeneous 4378:Poisson process 4268:Contact process 4231:Brownian motion 4201:Continuous time 4195: 4189:Maximal entropy 4120: 4115: 4085: 4084: 4046: 4045: 4041: 4034: 4019: 4018: 4014: 3986: 3985: 3981: 3953:Economic Theory 3949: 3948: 3944: 3939: 3917: 3893: 3892: 3881: 3845: 3844: 3823: 3818: 3817: 3798: 3797: 3778: 3777: 3758: 3757: 3738: 3737: 3716: 3711: 3710: 3691: 3690: 3669: 3664: 3663: 3578: 3561: 3560: 3524: 3519: 3518: 3479: 3478: 3389: 3372: 3371: 3340: 3339: 3313: 3312: 3248: 3247: 3222: 3221: 3199: 3198: 3160: 3134: 3133: 3108: 3107: 3015: 3014: 2969: 2968: 2923: 2922: 2866: 2865: 2831: 2826: 2825: 2806: 2805: 2786: 2785: 2742: 2741: 2710: 2709: 2688: 2683: 2682: 2651: 2638: 2625: 2620: 2619: 2586: 2585: 2563: 2562: 2520: 2507: 2502: 2501: 2467: 2466: 2437: 2436: 2365: 2364: 2324: 2319: 2318: 2291: 2290: 2251: 2250: 2196: 2195: 2185: 2160: 2159: 2154: 2148: 2147: 2142: 2131: 2118: 2117: 2112: 2106: 2105: 2100: 2089: 2076: 2075: 2070: 2064: 2063: 2058: 2047: 2034: 2033: 2028: 2022: 2021: 2016: 2005: 1991: 1990: 1967: 1966: 1961: 1955: 1954: 1949: 1938: 1925: 1924: 1919: 1913: 1912: 1907: 1896: 1883: 1882: 1877: 1871: 1870: 1865: 1854: 1840: 1839: 1821: 1820: 1815: 1809: 1808: 1803: 1792: 1781: 1780: 1761: 1760: 1723: 1722: 1680: 1675: 1674: 1650: 1637: 1612: 1599: 1586: 1581: 1580: 1559: 1554: 1553: 1522: 1509: 1496: 1491: 1490: 1471: 1470: 1449: 1444: 1443: 1416: 1403: 1390: 1385: 1384: 1365: 1364: 1345: 1344: 1323: 1318: 1317: 1298: 1297: 1276: 1271: 1270: 1243: 1242: 1223: 1222: 1203: 1202: 1171: 1170: 1145: 1144: 1125: 1124: 1098: 1079: 1066: 1058: 1057: 1038: 1037: 997: 996: 993: 956: 948: 947: 928: 927: 896: 862: 839: 838: 812: 797: 772: 771: 714: 693: 665: 644: 643: 639: 604: 603: 591:Brownian motion 567: 566: 543: 518: 517: 492: 491: 471: 470: 457: 439: 438: 371: 366: 365: 338: 315: 314: 289: 288: 265: 264: 241: 226: 215: 214: 211: 154: 153: 134: 133: 103: 102: 65: 54: 48: 45: 37:help improve it 34: 25: 21: 12: 11: 5: 5403: 5401: 5393: 5392: 5387: 5382: 5372: 5371: 5365: 5364: 5362: 5361: 5356: 5354:List of topics 5350: 5347: 5346: 5344: 5343: 5338: 5333: 5328: 5323: 5318: 5313: 5311:Renewal theory 5308: 5303: 5298: 5293: 5288: 5283: 5278: 5276:Ergodic theory 5273: 5268: 5266:Control theory 5263: 5257: 5255: 5251: 5250: 5248: 5247: 5246: 5245: 5240: 5230: 5225: 5220: 5215: 5210: 5209: 5208: 5198: 5196:Snell envelope 5193: 5188: 5183: 5178: 5173: 5168: 5163: 5158: 5153: 5148: 5143: 5138: 5133: 5128: 5123: 5118: 5113: 5108: 5103: 5098: 5093: 5088: 5083: 5078: 5073: 5068: 5062: 5060: 5056: 5055: 5053: 5052: 5047: 5042: 5037: 5032: 5026: 5024: 5018: 5017: 5015: 5014: 4995:Borel–Cantelli 4984: 4979: 4974: 4969: 4964: 4959: 4954: 4949: 4944: 4939: 4933: 4931: 4930:Limit theorems 4927: 4926: 4924: 4923: 4918: 4913: 4908: 4903: 4898: 4893: 4888: 4883: 4878: 4873: 4868: 4863: 4858: 4853: 4847: 4845: 4841: 4840: 4838: 4837: 4832: 4827: 4822: 4817: 4812: 4806: 4804: 4798: 4797: 4795: 4794: 4789: 4784: 4779: 4773: 4771: 4765: 4764: 4762: 4761: 4756: 4751: 4746: 4741: 4736: 4731: 4726: 4721: 4716: 4711: 4706: 4701: 4696: 4691: 4686: 4681: 4676: 4671: 4665: 4663: 4657: 4656: 4654: 4653: 4648: 4643: 4638: 4633: 4628: 4622: 4620: 4614: 4613: 4611: 4610: 4605: 4600: 4599: 4598: 4593: 4583: 4578: 4573: 4568: 4567: 4566: 4561: 4551: 4549:Hopfield model 4546: 4541: 4536: 4530: 4528: 4524: 4523: 4521: 4520: 4515: 4510: 4505: 4500: 4495: 4494: 4493: 4488: 4483: 4478: 4468: 4466:Markov process 4463: 4458: 4453: 4447: 4445: 4441: 4440: 4438: 4437: 4435:Wiener sausage 4432: 4430:Wiener process 4427: 4422: 4417: 4412: 4410:Stable process 4407: 4402: 4400:Semimartingale 4397: 4392: 4391: 4390: 4385: 4375: 4370: 4365: 4360: 4355: 4350: 4345: 4343:Jump diffusion 4340: 4335: 4330: 4325: 4320: 4318:Hawkes process 4315: 4310: 4305: 4300: 4298:Feller process 4295: 4290: 4285: 4280: 4275: 4270: 4265: 4263:Cauchy process 4260: 4259: 4258: 4253: 4248: 4243: 4238: 4228: 4227: 4226: 4216: 4214:Bessel process 4211: 4205: 4203: 4197: 4196: 4194: 4193: 4192: 4191: 4186: 4181: 4176: 4166: 4161: 4156: 4151: 4146: 4141: 4136: 4130: 4128: 4122: 4121: 4116: 4114: 4113: 4106: 4099: 4091: 4083: 4082: 4055:(2): 307–341. 4039: 4032: 4012: 3979: 3941: 3940: 3938: 3935: 3934: 3933: 3928: 3923: 3916: 3913: 3911:of the noise. 3900: 3880: 3877: 3864: 3861: 3858: 3855: 3852: 3830: 3826: 3805: 3785: 3765: 3745: 3723: 3719: 3698: 3676: 3672: 3660: 3659: 3647: 3644: 3641: 3638: 3635: 3632: 3629: 3626: 3623: 3620: 3617: 3614: 3611: 3608: 3605: 3602: 3599: 3596: 3593: 3590: 3585: 3581: 3577: 3574: 3571: 3568: 3545: 3542: 3539: 3536: 3531: 3527: 3506: 3503: 3500: 3497: 3493: 3489: 3486: 3475: 3474: 3473: 3472: 3461: 3458: 3455: 3452: 3449: 3446: 3443: 3440: 3437: 3434: 3431: 3428: 3425: 3422: 3419: 3416: 3413: 3410: 3407: 3404: 3401: 3396: 3392: 3388: 3385: 3382: 3379: 3366: 3365: 3353: 3350: 3347: 3320: 3310: 3294: 3291: 3288: 3285: 3282: 3279: 3276: 3273: 3270: 3267: 3264: 3261: 3258: 3255: 3235: 3232: 3229: 3218: 3206: 3186: 3183: 3180: 3177: 3172: 3167: 3164: 3159: 3156: 3153: 3150: 3147: 3144: 3141: 3121: 3118: 3115: 3091: 3088: 3085: 3082: 3077: 3072: 3069: 3066: 3063: 3058: 3053: 3048: 3043: 3040: 3036: 3032: 3027: 3022: 3002: 2999: 2996: 2993: 2990: 2987: 2983: 2979: 2976: 2942: 2939: 2936: 2933: 2930: 2903: 2900: 2897: 2893: 2889: 2884: 2879: 2876: 2873: 2838: 2834: 2813: 2793: 2773: 2769: 2765: 2760: 2755: 2752: 2749: 2724: 2720: 2717: 2695: 2691: 2679: 2678: 2664: 2661: 2658: 2654: 2650: 2645: 2641: 2637: 2632: 2628: 2606: 2602: 2599: 2596: 2593: 2582: 2570: 2546: 2543: 2540: 2537: 2532: 2527: 2524: 2519: 2514: 2510: 2495: 2494: 2481: 2477: 2474: 2452: 2447: 2444: 2424: 2421: 2418: 2415: 2410: 2407: 2402: 2398: 2394: 2390: 2386: 2383: 2380: 2377: 2373: 2345: 2342: 2339: 2336: 2331: 2327: 2305: 2301: 2298: 2278: 2275: 2272: 2269: 2265: 2261: 2258: 2227: 2223: 2219: 2214: 2209: 2206: 2203: 2184: 2181: 2169: 2165: 2158: 2155: 2153: 2150: 2149: 2146: 2143: 2141: 2138: 2137: 2134: 2130: 2127: 2123: 2116: 2113: 2111: 2108: 2107: 2104: 2101: 2099: 2096: 2095: 2092: 2088: 2085: 2081: 2074: 2071: 2069: 2066: 2065: 2062: 2059: 2057: 2054: 2053: 2050: 2046: 2043: 2039: 2032: 2029: 2027: 2024: 2023: 2020: 2017: 2015: 2012: 2011: 2008: 2004: 2001: 1998: 1976: 1972: 1965: 1962: 1960: 1957: 1956: 1953: 1950: 1948: 1945: 1944: 1941: 1937: 1934: 1930: 1923: 1920: 1918: 1915: 1914: 1911: 1908: 1906: 1903: 1902: 1899: 1895: 1892: 1888: 1881: 1878: 1876: 1873: 1872: 1869: 1866: 1864: 1861: 1860: 1857: 1853: 1850: 1847: 1826: 1819: 1816: 1814: 1811: 1810: 1807: 1804: 1802: 1799: 1798: 1795: 1791: 1788: 1768: 1748: 1745: 1742: 1739: 1736: 1733: 1730: 1687: 1683: 1662: 1657: 1653: 1649: 1644: 1640: 1636: 1633: 1630: 1625: 1622: 1619: 1615: 1611: 1606: 1602: 1598: 1593: 1589: 1566: 1562: 1550: 1549: 1546: 1534: 1529: 1525: 1521: 1516: 1512: 1508: 1503: 1499: 1478: 1456: 1452: 1440: 1428: 1423: 1419: 1415: 1410: 1406: 1402: 1397: 1393: 1372: 1352: 1330: 1326: 1305: 1283: 1279: 1263: 1262: 1250: 1230: 1210: 1200: 1184: 1181: 1178: 1158: 1155: 1152: 1132: 1122: 1110: 1105: 1101: 1097: 1094: 1091: 1086: 1082: 1078: 1073: 1069: 1065: 1045: 1022: 1019: 1016: 1013: 1010: 1007: 1004: 992: 989: 976: 973: 970: 965: 960: 955: 935: 920: 919: 908: 903: 899: 895: 892: 889: 886: 883: 880: 877: 874: 869: 865: 861: 858: 855: 852: 849: 846: 821: 816: 811: 806: 801: 796: 793: 790: 786: 782: 779: 757: 756: 745: 741: 737: 734: 731: 728: 723: 718: 713: 709: 705: 700: 696: 692: 687: 682: 679: 674: 669: 664: 660: 656: 651: 647: 642: 638: 635: 631: 627: 622: 617: 614: 611: 587:Wiener process 574: 552: 547: 542: 539: 536: 532: 528: 525: 505: 502: 499: 488: 487: 475: 469: 464: 460: 456: 453: 450: 447: 444: 441: 440: 437: 434: 431: 428: 425: 421: 416: 413: 410: 406: 401: 398: 395: 392: 389: 386: 382: 378: 377: 374: 350: 345: 341: 337: 334: 331: 328: 325: 322: 302: 299: 296: 272: 250: 245: 240: 235: 230: 225: 222: 210: 207: 167: 164: 161: 141: 110: 67: 66: 28: 26: 19: 13: 10: 9: 6: 4: 3: 2: 5402: 5391: 5388: 5386: 5383: 5381: 5378: 5377: 5375: 5360: 5357: 5355: 5352: 5351: 5348: 5342: 5339: 5337: 5334: 5332: 5329: 5327: 5324: 5322: 5319: 5317: 5314: 5312: 5309: 5307: 5304: 5302: 5299: 5297: 5294: 5292: 5289: 5287: 5284: 5282: 5279: 5277: 5274: 5272: 5269: 5267: 5264: 5262: 5259: 5258: 5256: 5252: 5244: 5241: 5239: 5236: 5235: 5234: 5231: 5229: 5226: 5224: 5221: 5219: 5216: 5214: 5213:Stopping time 5211: 5207: 5204: 5203: 5202: 5199: 5197: 5194: 5192: 5189: 5187: 5184: 5182: 5179: 5177: 5174: 5172: 5169: 5167: 5164: 5162: 5159: 5157: 5154: 5152: 5149: 5147: 5144: 5142: 5139: 5137: 5134: 5132: 5129: 5127: 5124: 5122: 5119: 5117: 5114: 5112: 5109: 5107: 5104: 5102: 5099: 5097: 5094: 5092: 5089: 5087: 5084: 5082: 5079: 5077: 5074: 5072: 5069: 5067: 5064: 5063: 5061: 5057: 5051: 5048: 5046: 5043: 5041: 5038: 5036: 5033: 5031: 5028: 5027: 5025: 5023: 5019: 5012: 5008: 5004: 5003:Hewitt–Savage 5000: 4996: 4992: 4988: 4987:Zero–one laws 4985: 4983: 4980: 4978: 4975: 4973: 4970: 4968: 4965: 4963: 4960: 4958: 4955: 4953: 4950: 4948: 4945: 4943: 4940: 4938: 4935: 4934: 4932: 4928: 4922: 4919: 4917: 4914: 4912: 4909: 4907: 4904: 4902: 4899: 4897: 4894: 4892: 4889: 4887: 4884: 4882: 4879: 4877: 4874: 4872: 4869: 4867: 4864: 4862: 4859: 4857: 4854: 4852: 4849: 4848: 4846: 4842: 4836: 4833: 4831: 4828: 4826: 4823: 4821: 4818: 4816: 4813: 4811: 4808: 4807: 4805: 4803: 4799: 4793: 4790: 4788: 4785: 4783: 4780: 4778: 4775: 4774: 4772: 4770: 4766: 4760: 4757: 4755: 4752: 4750: 4747: 4745: 4742: 4740: 4737: 4735: 4732: 4730: 4727: 4725: 4722: 4720: 4717: 4715: 4712: 4710: 4707: 4705: 4702: 4700: 4697: 4695: 4692: 4690: 4687: 4685: 4684:Black–Scholes 4682: 4680: 4677: 4675: 4672: 4670: 4667: 4666: 4664: 4662: 4658: 4652: 4649: 4647: 4644: 4642: 4639: 4637: 4634: 4632: 4629: 4627: 4624: 4623: 4621: 4619: 4615: 4609: 4606: 4604: 4601: 4597: 4594: 4592: 4589: 4588: 4587: 4586:Point process 4584: 4582: 4579: 4577: 4574: 4572: 4569: 4565: 4562: 4560: 4557: 4556: 4555: 4552: 4550: 4547: 4545: 4544:Gibbs measure 4542: 4540: 4537: 4535: 4532: 4531: 4529: 4525: 4519: 4516: 4514: 4511: 4509: 4506: 4504: 4501: 4499: 4496: 4492: 4489: 4487: 4484: 4482: 4479: 4477: 4474: 4473: 4472: 4469: 4467: 4464: 4462: 4459: 4457: 4454: 4452: 4449: 4448: 4446: 4442: 4436: 4433: 4431: 4428: 4426: 4423: 4421: 4418: 4416: 4413: 4411: 4408: 4406: 4403: 4401: 4398: 4396: 4393: 4389: 4386: 4384: 4381: 4380: 4379: 4376: 4374: 4371: 4369: 4366: 4364: 4361: 4359: 4356: 4354: 4351: 4349: 4346: 4344: 4341: 4339: 4336: 4334: 4333:ItĂ´ diffusion 4331: 4329: 4326: 4324: 4321: 4319: 4316: 4314: 4311: 4309: 4308:Gamma process 4306: 4304: 4301: 4299: 4296: 4294: 4291: 4289: 4286: 4284: 4281: 4279: 4276: 4274: 4271: 4269: 4266: 4264: 4261: 4257: 4254: 4252: 4249: 4247: 4244: 4242: 4239: 4237: 4234: 4233: 4232: 4229: 4225: 4222: 4221: 4220: 4217: 4215: 4212: 4210: 4207: 4206: 4204: 4202: 4198: 4190: 4187: 4185: 4182: 4180: 4179:Self-avoiding 4177: 4175: 4172: 4171: 4170: 4167: 4165: 4164:Moran process 4162: 4160: 4157: 4155: 4152: 4150: 4147: 4145: 4142: 4140: 4137: 4135: 4132: 4131: 4129: 4127: 4126:Discrete time 4123: 4119: 4112: 4107: 4105: 4100: 4098: 4093: 4092: 4089: 4078: 4074: 4070: 4066: 4062: 4058: 4054: 4050: 4043: 4040: 4035: 4033:9783540637585 4029: 4025: 4024: 4016: 4013: 4007: 4002: 3998: 3994: 3990: 3983: 3980: 3975: 3971: 3967: 3963: 3959: 3955: 3954: 3946: 3943: 3936: 3932: 3929: 3927: 3924: 3922: 3919: 3918: 3914: 3912: 3898: 3890: 3886: 3878: 3876: 3859: 3856: 3853: 3828: 3824: 3803: 3783: 3763: 3743: 3721: 3717: 3696: 3674: 3670: 3642: 3639: 3636: 3630: 3627: 3621: 3618: 3615: 3612: 3609: 3603: 3600: 3591: 3583: 3579: 3575: 3572: 3566: 3559: 3558: 3557: 3534: 3529: 3525: 3504: 3495: 3487: 3484: 3459: 3453: 3450: 3447: 3444: 3441: 3435: 3432: 3426: 3423: 3420: 3414: 3411: 3402: 3394: 3390: 3386: 3383: 3377: 3370: 3369: 3368: 3367: 3348: 3345: 3338: 3334: 3318: 3311: 3308: 3289: 3286: 3283: 3280: 3277: 3271: 3262: 3259: 3256: 3230: 3227: 3219: 3204: 3184: 3178: 3175: 3170: 3157: 3151: 3148: 3145: 3139: 3116: 3113: 3105: 3104: 3103: 3083: 3070: 3064: 3051: 3041: 3000: 2994: 2991: 2985: 2977: 2974: 2966: 2962: 2959: 2956: 2937: 2934: 2931: 2919: 2917: 2898: 2895: 2887: 2877: 2864: 2859: 2857: 2854: 2836: 2832: 2811: 2791: 2763: 2753: 2739: 2718: 2715: 2693: 2689: 2662: 2659: 2656: 2652: 2648: 2643: 2639: 2635: 2630: 2626: 2600: 2597: 2594: 2591: 2583: 2560: 2535: 2517: 2512: 2508: 2500: 2499: 2498: 2475: 2472: 2445: 2442: 2416: 2408: 2405: 2400: 2396: 2384: 2378: 2363: 2362: 2361: 2359: 2334: 2329: 2325: 2299: 2296: 2267: 2259: 2256: 2249: 2245: 2241: 2217: 2207: 2192: 2190: 2182: 2180: 2167: 2163: 2156: 2151: 2144: 2139: 2132: 2128: 2125: 2121: 2114: 2109: 2102: 2097: 2090: 2086: 2083: 2079: 2072: 2067: 2060: 2055: 2048: 2044: 2041: 2037: 2030: 2025: 2018: 2013: 2006: 2002: 1999: 1996: 1987: 1974: 1970: 1963: 1958: 1951: 1946: 1939: 1935: 1932: 1928: 1921: 1916: 1909: 1904: 1897: 1893: 1890: 1886: 1879: 1874: 1867: 1862: 1855: 1851: 1848: 1845: 1824: 1817: 1812: 1805: 1800: 1793: 1789: 1786: 1743: 1740: 1737: 1731: 1728: 1720: 1716: 1713: 1711: 1705: 1703: 1685: 1681: 1655: 1651: 1642: 1638: 1634: 1631: 1628: 1623: 1620: 1617: 1613: 1609: 1604: 1600: 1596: 1591: 1587: 1564: 1560: 1547: 1527: 1523: 1514: 1510: 1506: 1501: 1497: 1476: 1454: 1450: 1441: 1421: 1417: 1408: 1404: 1400: 1395: 1391: 1370: 1328: 1324: 1303: 1281: 1277: 1268: 1267: 1266: 1228: 1208: 1201: 1198: 1182: 1179: 1176: 1156: 1150: 1123: 1103: 1099: 1095: 1092: 1089: 1084: 1080: 1076: 1071: 1067: 1043: 1036: 1035: 1034: 1017: 1014: 1008: 1005: 990: 988: 971: 968: 963: 933: 925: 901: 897: 893: 890: 887: 884: 878: 875: 867: 863: 859: 856: 853: 850: 844: 837: 836: 835: 819: 804: 794: 788: 780: 777: 769: 765: 762:Now define a 760: 743: 739: 735: 732: 721: 711: 698: 694: 680: 672: 662: 649: 645: 640: 636: 625: 615: 602: 601: 600: 599: 596: 592: 588: 585:-dimensional 572: 550: 534: 526: 523: 500: 497: 467: 462: 458: 454: 448: 442: 435: 429: 423: 414: 411: 408: 396: 390: 387: 384: 372: 364: 363: 362: 343: 339: 335: 332: 329: 326: 320: 300: 297: 294: 286: 283:-dimensional 270: 248: 233: 223: 220: 208: 206: 204: 200: 196: 192: 188: 183: 181: 165: 162: 159: 131: 128: 124: 101: 97: 93: 90: 86: 82: 78: 74: 63: 60: 52: 42: 38: 32: 29:This article 27: 18: 17: 5271:Econometrics 5233:Wiener space 5121:ItĂ´ integral 5022:Inequalities 4911:Self-similar 4881:Gauss–Markov 4871:Exchangeable 4851:CĂ dlĂ g paths 4787:Risk process 4739:LIBOR market 4608:Random graph 4603:Random field 4497: 4415:Superprocess 4353:LĂ©vy process 4348:Jump process 4323:Hunt process 4159:Markov chain 4052: 4048: 4042: 4022: 4015: 3996: 3992: 3982: 3960:(1): 13–38. 3957: 3951: 3945: 3921:Chaos theory 3882: 3661: 3476: 3332: 2964: 2961:metric space 2920: 2860: 2680: 2496: 2247: 2243: 2193: 2188: 2187:Formally, a 2186: 1988: 1718: 1717: 1714: 1706: 1702:Markov Chain 1673:. Clearly, 1551: 1264: 1196: 994: 924:well-defined 921: 767: 763: 761: 758: 489: 285:vector field 212: 190: 184: 179: 129: 122: 91: 80: 73:mathematical 70: 55: 49:January 2022 46: 30: 5316:Ruin theory 5254:Disciplines 5126:ItĂ´'s lemma 4901:Predictable 4576:Percolation 4559:Potts model 4554:Ising model 4518:White noise 4476:Differences 4338:ItĂ´ process 4278:Cox process 4174:Loop-erased 4169:Random walk 2965:phase space 2853:commutative 203:phase space 191:noise terms 132:on the set 89:state space 5374:Categories 5326:Statistics 5106:Filtration 5007:Kolmogorov 4991:Blumenthal 4916:Stationary 4856:Continuous 4844:Properties 4729:Hull–White 4471:Martingale 4358:Local time 4246:Fractional 4224:pure birth 3937:References 3337:almost all 3307:continuous 2736:, forms a 1439:in step 1. 1241:-field of 565:denotes a 287:, and let 5238:Classical 4251:Geometric 4241:Excursion 4077:192603977 3899:ω 3885:attractor 3744:ω 3671:ϑ 3643:ω 3628:− 3622:ω 3592:ω 3580:ϑ 3544:Ω 3541:→ 3538:Ω 3526:ϑ 3502:→ 3499:Ω 3496:× 3454:ω 3436:φ 3427:ω 3415:φ 3412:∘ 3403:ω 3391:ϑ 3378:φ 3352:Ω 3349:∈ 3346:ω 3319:φ 3284:ω 3272:φ 3269:↦ 3234:Ω 3231:∈ 3228:ω 3182:→ 3152:ω 3140:φ 3120:Ω 3117:∈ 3114:ω 3052:⊗ 3042:⊗ 2998:→ 2992:× 2989:Ω 2986:× 2975:φ 2958:separable 2899:ϑ 2875:Ω 2833:ϑ 2751:Ω 2719:∈ 2690:ϑ 2681:That is, 2653:ϑ 2640:ϑ 2636:∘ 2627:ϑ 2601:∈ 2569:Ω 2545:Ω 2542:→ 2539:Ω 2531:Ω 2509:ϑ 2476:∈ 2446:∈ 2406:− 2397:ϑ 2344:Ω 2341:→ 2338:Ω 2326:ϑ 2300:∈ 2277:Ω 2274:→ 2271:Ω 2268:× 2257:ϑ 2248:base flow 2205:Ω 1767:Γ 1639:α 1635:∘ 1632:⋯ 1629:∘ 1621:− 1614:α 1610:∘ 1601:α 1511:α 1451:α 1405:α 1351:Γ 1325:α 1249:Γ 1229:σ 1180:× 1154:→ 1131:Γ 1093:⋯ 1012:Γ 972:φ 934:φ 891:ω 857:ω 845:φ 810:→ 795:× 792:Ω 789:× 778:φ 736:γ 613:Ω 541:→ 538:Ω 535:× 504:Ω 501:∈ 498:ω 415:ε 333:ω 295:ε 239:→ 195:base flow 163:∈ 140:Γ 109:Γ 75:field of 5359:Category 5243:Abstract 4777:BĂĽhlmann 4383:Compound 3974:15055697 3915:See also 3843:through 3106:for all 2955:complete 2921:Now let 2584:for all 2435:for all 1719:Example: 1316:, a map 926:). Then 764:flow map 516:, where 4866:Ergodic 4754:Vašíček 4596:Poisson 4256:Meander 4057:Bibcode 2916:ergodic 199:cocycle 71:In the 35:Please 5206:Tanaka 4891:Mixing 4886:Markov 4759:Wilkie 4724:Ho–Lee 4719:Heston 4491:Super- 4236:Bridge 4184:Biased 4075:  4030:  3972:  3335:: for 2967:. Let 2963:, the 2856:monoid 2557:, the 2317:, let 2242:, the 5059:Tools 4835:M/M/c 4830:M/M/1 4825:M/G/1 4815:Fluid 4481:Local 4073:S2CID 3970:S2CID 3013:be a 2953:be a 2738:group 2244:noise 2238:be a 1700:is a 263:be a 121:from 5011:LĂ©vy 4810:Bulk 4694:Chen 4486:Sub- 4444:Both 4028:ISBN 3756:for 2465:and 2194:Let 2129:0.12 2087:0.42 2045:0.28 2003:0.18 766:or ( 298:> 213:Let 100:maps 94:, a 79:, a 4591:Cox 4065:doi 4001:doi 3962:doi 3305:is 2914:is 2561:on 1936:0.1 1894:0.3 1852:0.6 1818:0.3 1813:0.7 1806:0.6 1801:0.4 1343:in 1296:in 834:by 98:of 96:set 39:to 5376:: 5009:, 5005:, 5001:, 4997:, 4993:, 4071:. 4063:. 4051:. 4026:. 3997:21 3995:. 3991:. 3968:. 3958:23 3956:. 3246:, 3132:, 2918:. 2708:, 2618:, 2360:: 1712:. 1704:. 1033:. 876::= 770:) 637::= 182:. 5013:) 4989:( 4110:e 4103:t 4096:v 4079:. 4067:: 4059:: 4053:9 4036:. 4009:. 4003:: 3976:. 3964:: 3863:) 3860:s 3857:+ 3854:t 3851:( 3829:0 3825:x 3804:s 3784:t 3764:s 3722:0 3718:x 3697:s 3675:s 3658:. 3646:) 3640:, 3637:s 3634:( 3631:W 3625:) 3619:, 3616:s 3613:+ 3610:t 3607:( 3604:W 3601:= 3598:) 3595:) 3589:( 3584:s 3576:, 3573:t 3570:( 3567:W 3535:: 3530:s 3505:X 3492:R 3488:: 3485:W 3460:. 3457:) 3451:, 3448:s 3445:+ 3442:t 3439:( 3433:= 3430:) 3424:, 3421:s 3418:( 3409:) 3406:) 3400:( 3395:s 3387:, 3384:t 3381:( 3364:, 3309:; 3293:) 3290:x 3287:, 3281:, 3278:t 3275:( 3266:) 3263:x 3260:, 3257:t 3254:( 3217:; 3205:X 3185:X 3179:X 3176:: 3171:X 3166:d 3163:i 3158:= 3155:) 3149:, 3146:0 3143:( 3090:) 3087:) 3084:X 3081:( 3076:B 3071:, 3068:) 3065:X 3062:( 3057:B 3047:F 3039:) 3035:R 3031:( 3026:B 3021:( 3001:X 2995:X 2982:R 2978:: 2941:) 2938:d 2935:, 2932:X 2929:( 2902:) 2896:, 2892:P 2888:, 2883:F 2878:, 2872:( 2837:s 2812:s 2792:s 2772:) 2768:P 2764:, 2759:F 2754:, 2748:( 2723:R 2716:s 2694:s 2677:. 2663:t 2660:+ 2657:s 2649:= 2644:t 2631:s 2605:R 2598:t 2595:, 2592:s 2581:; 2536:: 2526:d 2523:i 2518:= 2513:0 2493:; 2480:R 2473:s 2451:F 2443:E 2423:) 2420:) 2417:E 2414:( 2409:1 2401:s 2393:( 2389:P 2385:= 2382:) 2379:E 2376:( 2372:P 2335:: 2330:s 2304:R 2297:s 2264:R 2260:: 2226:) 2222:P 2218:, 2213:F 2208:, 2202:( 2168:. 2164:) 2157:1 2152:0 2145:0 2140:1 2133:( 2126:+ 2122:) 2115:0 2110:1 2103:1 2098:0 2091:( 2084:+ 2080:) 2073:0 2068:1 2061:0 2056:1 2049:( 2042:+ 2038:) 2031:1 2026:0 2019:1 2014:0 2007:( 2000:= 1997:M 1975:. 1971:) 1964:0 1959:1 1952:0 1947:1 1940:( 1933:+ 1929:) 1922:1 1917:0 1910:0 1905:1 1898:( 1891:+ 1887:) 1880:0 1875:1 1868:1 1863:0 1856:( 1849:= 1846:M 1825:) 1794:( 1790:= 1787:M 1747:} 1744:2 1741:, 1738:1 1735:{ 1732:= 1729:S 1686:n 1682:X 1661:) 1656:0 1652:X 1648:( 1643:1 1624:1 1618:n 1605:n 1597:= 1592:n 1588:X 1565:n 1561:X 1545:. 1533:) 1528:1 1524:x 1520:( 1515:2 1507:= 1502:2 1498:x 1477:Q 1455:2 1427:) 1422:0 1418:x 1414:( 1409:1 1401:= 1396:1 1392:x 1371:Q 1329:1 1304:S 1282:0 1278:x 1261:. 1209:Q 1183:n 1177:n 1157:S 1151:S 1121:. 1109:} 1104:n 1100:s 1096:, 1090:, 1085:2 1081:s 1077:, 1072:1 1068:s 1064:{ 1044:S 1021:) 1018:Q 1015:, 1009:, 1006:S 1003:( 975:) 969:, 964:d 959:R 954:( 907:) 902:0 898:x 894:; 888:, 885:t 882:( 879:X 873:) 868:0 864:x 860:, 854:, 851:t 848:( 820:d 815:R 805:d 800:R 785:R 781:: 744:. 740:) 733:, 730:) 727:) 722:d 717:R 712:; 708:R 704:( 699:0 695:C 691:( 686:B 681:, 678:) 673:d 668:R 663:; 659:R 655:( 650:0 646:C 641:( 634:) 630:P 626:, 621:F 616:, 610:( 589:( 573:d 551:d 546:R 531:R 527:: 524:W 468:; 463:0 459:x 455:= 452:) 449:0 446:( 443:X 436:; 433:) 430:t 427:( 424:W 420:d 412:+ 409:t 405:d 400:) 397:X 394:( 391:f 388:= 385:X 381:d 373:{ 349:) 344:0 340:x 336:; 330:, 327:t 324:( 321:X 301:0 271:d 249:d 244:R 234:d 229:R 224:: 221:f 180:Q 166:S 160:X 130:Q 123:S 92:S 62:) 56:( 51:) 47:( 33:.

Index

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mathematical
dynamical systems
equations of motion
state space
set
maps
probability distribution
stochastic differential equation
base flow
cocycle
phase space
vector field
Wiener process
Brownian motion
classical Wiener
probability space
well-defined
Markov Chain
doubly stochastic matrix
probability space
measurable function
identity function
group
commutative
monoid
measure-preserving dynamical system
ergodic

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