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Initial condition

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Every empirical law has the disquieting quality that one does not know its limitations. We have seen that there are regularities in the events in the world around us which can be formulated in terms of mathematical concepts with an uncanny accuracy. There are, on the other hand, aspects of the world
149:. A corresponding problem exists for discrete time situations. While a closed form solution is not always possible to obtain, future values of a discrete time system can be found by iterating forward one time period per iteration, though rounding error may make this impractical over long horizons. 1176: 1627:, while each remaining on the attractor, will diverge from each other over time. Thus even on a single attractor the precise values of the initial conditions make a substantial difference for the future positions of the iterates. This feature makes accurate 1631:
of future values difficult, and impossible over long horizons, because stating the initial conditions with exact precision is seldom possible and because rounding error is inevitable after even only a few iterations from an exact initial condition.
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such that state variables with initial conditions in that basin (and nowhere else) will evolve toward that attractor. Even nearby initial conditions could be in basins of attraction of different attractors (see for example
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can exhibit a substantially richer variety of behavior than linear systems can. In particular, the initial conditions can affect whether the system diverges to infinity or whether it
943: 1540: 836: 263: 213: 509: 1715:"The unreasonable effectiveness of mathematics in the natural sciences. Richard Courant lecture in mathematical sciences delivered at New York University, May 11, 1959" 1210: 973: 875: 317: 290: 1209: – 1 derivatives, all at some point in time such as time zero. The initial conditions do not affect the qualitative nature of the system's behavior. The 503:. Again the initial conditions do not affect the qualitative nature of the variable's long-term evolution. The solution of this equation is found by using its 1603:
of the system. Each attractor, a (possibly disconnected) region of values that some dynamic paths approach but never leave, has a (possibly disconnected)
1620: 1216: 1377: 700: 364: 1714: 51: 495:, so the necessary number of initial conditions to trace the system through time, either iteratively or via closed form solution, is 1694: 1768: 1789: 1784: 89: 37: 1320: 504: 1325: 648: 1171:{\displaystyle {\frac {d^{k}x}{dt^{k}}}+a_{k-1}{\frac {d^{k-1}x}{dt^{k-1}}}+\cdots +a_{1}{\frac {dx}{dt}}+a_{0}x=0.} 1642:
concerning which we do not believe in the existence of any accurate regularities. We call these initial conditions.
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Its behavior through time can be traced with a closed form solution conditional on an initial condition vector
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Here the number of initial conditions necessary for obtaining a closed form solution is the dimension
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initial conditions are needed in order to trace the system's variables forward through time.
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for the state variables as a function of time and of the initial conditions is called the
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is called the vector of initial conditions or simply the initial condition, and contains
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initial pieces of information will typically not be different values of the variable
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of initial conditions on the individual variables that are stacked into the vector;
1616: 1312:{\displaystyle \lambda ^{k}+a_{k-1}\lambda ^{k-1}+\cdots +a_{1}\lambda +a_{0}=0,} 137:
in discrete time, initial conditions affect the value of the dynamic variables (
65: 1628: 344: 1763: 1600: 1738: 1471:{\displaystyle x(t)=c_{1}e^{\lambda _{1}t}+\cdots +c_{k}e^{\lambda _{k}t}.} 782:{\displaystyle x_{t}=c_{1}\lambda _{1}^{t}+\cdots +c_{k}\lambda _{k}^{t}.} 17: 1579: 975:. The number of required initial pieces of information is the dimension 84:
at some point in time designated as the initial time (typically denoted
1567: 477:{\displaystyle x_{t}=a_{1}x_{t-1}+a_{2}x_{t-2}+\cdots +a_{k}x_{t-k}.} 141:) at any future time. In continuous time, the problem of finding a 114:
different evolving variables, which together can be denoted by an
1623:: the iterated values of any two very nearby points on the same 842:
different equations based on this equation, each using one of
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Parameter in differential equations and dynamical systems
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A differential equation system of the first order with
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Evolution of this initial condition for an example PDE
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at different points in time, but rather the values of
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Alternatively, a dynamic process in a single variable
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London: Collier-Macmillan. 994:order linear equation in a single variable 1621:sensitive dependence on initial conditions 1619:, the evolution of the variables exhibits 43:An initial condition of a vibrating string 1523: 1504: 1498: 1454: 1449: 1439: 1415: 1410: 1400: 1379: 1352: 1333: 1327: 1294: 1278: 1253: 1237: 1224: 1218: 1153: 1126: 1120: 1092: 1068: 1061: 1049: 1033: 1015: 1008: 1006: 959: 953: 903: 901: 861: 855: 850:for which the specific initial condition 822: 803: 797: 770: 765: 755: 736: 731: 721: 708: 702: 675: 656: 650: 616: 594: 569: 559: 540: 530: 517: 511: 459: 449: 424: 414: 395: 385: 372: 366: 351:but not based on the initial conditions. 303: 297: 276: 270: 249: 239: 226: 220: 199: 177: 171: 1371:these are used in the solution equation 1670: 1542:given the known initial conditions on 1636:Empirical laws and initial conditions 1550:– 1 derivatives' values at some time 1489:equations that can be solved for the 7: 1610:Newton's method#Basins of attraction 938:{\displaystyle {\frac {dX}{dt}}=AX.} 57:Evolution from the initial condition 1535:{\displaystyle c_{1},\dots ,c_{k},} 1685:Economic Dynamics: An Introduction 831:{\displaystyle c_{1},\dots ,c_{k}} 327:being the dimension of the vector 25: 1485:– 1 derivatives form a system of 983: = 1 of the system, or 838:are found by solving a system of 694:for use in the solution equation 88: = 0). For a system of 1762: 1578: 1566: 491: = 1 and the order is 258:{\displaystyle X_{t}=A^{t}X_{0}} 50: 36: 1185: = 1 times the order 1390: 1384: 979:of the system times the order 889:variables stacked in a vector 358:having multiple time lags is 208:{\displaystyle X_{t+1}=AX_{t}} 1: 1481:This equation and its first 1213:of this dynamic equation is 95:(the number of time lags in 80:, is a value of an evolving 76:, in some contexts called a 1806: 164:matrix difference equation 1573:Another initial condition 642:solutions, which are the 343:or unstable based on the 265:predicated on the vector 215:has closed form solution 1319:whose solutions are the 1211:characteristic equation 638:to obtain the latter's 505:characteristic equation 323:pieces of information, 133:in continuous time and 1790:Differential equations 1767:Quotations related to 1739:10.1002/cpa.3160130102 1644: 1536: 1472: 1365: 1313: 1172: 969: 939: 871: 832: 783: 688: 632: 487:Here the dimension is 478: 313: 286: 259: 209: 131:differential equations 1748:on February 12, 2021. 1658:Initialization vector 1537: 1473: 1366: 1321:characteristic values 1314: 1173: 970: 968:{\displaystyle X_{0}} 940: 872: 870:{\displaystyle x_{t}} 833: 784: 689: 644:characteristic values 633: 479: 314: 312:{\displaystyle X_{0}} 287: 285:{\displaystyle X_{0}} 260: 210: 147:initial value problem 1785:Recurrence relations 1497: 1378: 1326: 1217: 1005: 952: 900: 854: 846:different values of 796: 701: 649: 510: 365: 296: 269: 219: 170: 143:closed form solution 135:difference equations 68:and particularly in 1731:1960CPAM...13....1W 1605:basin of attraction 1193:. In this case the 792:Here the constants 775: 741: 339:; that behavior is 1679:Baumol, William J. 1653:Boundary condition 1599:to one or another 1532: 1468: 1361: 1309: 1168: 965: 935: 867: 828: 779: 761: 727: 684: 628: 474: 309: 282: 255: 205: 1769:Initial condition 1711:Wigner, Eugene P. 1660:, in cryptography 1625:strange attractor 1593:Nonlinear systems 1558:Nonlinear systems 1144: 1105: 1040: 921: 120:coordinate vector 74:initial condition 16:(Redirected from 1797: 1766: 1750: 1749: 1747: 1741:. Archived from 1707: 1701: 1700: 1688: 1675: 1617:chaotic behavior 1582: 1570: 1541: 1539: 1538: 1533: 1528: 1527: 1509: 1508: 1477: 1475: 1474: 1469: 1464: 1463: 1459: 1458: 1444: 1443: 1425: 1424: 1420: 1419: 1405: 1404: 1370: 1368: 1367: 1362: 1357: 1356: 1338: 1337: 1318: 1316: 1315: 1310: 1299: 1298: 1283: 1282: 1264: 1263: 1248: 1247: 1229: 1228: 1177: 1175: 1174: 1169: 1158: 1157: 1145: 1143: 1135: 1127: 1125: 1124: 1106: 1104: 1103: 1102: 1083: 1079: 1078: 1062: 1060: 1059: 1041: 1039: 1038: 1037: 1024: 1020: 1019: 1009: 974: 972: 971: 966: 964: 963: 944: 942: 941: 936: 922: 920: 912: 904: 876: 874: 873: 868: 866: 865: 837: 835: 834: 829: 827: 826: 808: 807: 788: 786: 785: 780: 774: 769: 760: 759: 740: 735: 726: 725: 713: 712: 693: 691: 690: 685: 680: 679: 661: 660: 637: 635: 634: 629: 621: 620: 605: 604: 580: 579: 564: 563: 551: 550: 535: 534: 522: 521: 483: 481: 480: 475: 470: 469: 454: 453: 435: 434: 419: 418: 406: 405: 390: 389: 377: 376: 318: 316: 315: 310: 308: 307: 291: 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613: 609: 606: 601: 598: 595: 591: 587: 584: 581: 576: 573: 570: 566: 560: 556: 552: 547: 544: 541: 537: 531: 527: 523: 518: 514: 506: 502: 499: =  498: 494: 490: 471: 466: 463: 460: 456: 450: 446: 442: 439: 436: 431: 428: 425: 421: 415: 411: 407: 402: 399: 396: 392: 386: 382: 378: 373: 369: 361: 360: 359: 357: 352: 350: 346: 342: 338: 334: 330: 326: 322: 304: 300: 277: 273: 250: 246: 240: 236: 232: 227: 223: 200: 196: 192: 189: 184: 181: 178: 174: 165: 158:Discrete time 157: 153:Linear system 152: 150: 148: 144: 140: 136: 132: 127: 125: 122:), generally 121: 118:-dimensional 117: 113: 109: 106: 102: 98: 97:discrete time 94: 91: 87: 83: 79: 75: 71: 67: 53: 39: 27: 19: 1771:at Wikiquote 1743:the original 1722: 1718: 1705: 1684: 1673: 1640: 1614: 1591: 1551: 1547: 1543: 1490: 1486: 1482: 1480: 1206: 1202: 1198: 1194: 1190: 1189:, or simply 1186: 1182: 1180: 995: 991: 989: 984: 980: 976: 947: 890: 886: 884: 847: 843: 839: 791: 639: 500: 496: 492: 488: 486: 355: 353: 348: 336: 332: 328: 324: 320: 161: 128: 123: 115: 111: 107: 92: 85: 77: 73: 63: 26: 1725:(1): 1–14. 1493:parameters 345:eigenvalues 66:mathematics 1779:Categories 1665:References 1629:simulation 877:Is known. 78:seed value 18:Seed value 1601:attractor 1597:converges 1514:… 1452:λ 1430:⋯ 1413:λ 1350:λ 1343:… 1331:λ 1285:λ 1269:⋯ 1258:− 1251:λ 1242:− 1222:λ 1111:⋯ 1097:− 1073:− 1054:− 990:A single 813:… 763:λ 746:⋯ 729:λ 673:λ 666:… 654:λ 610:− 607:λ 599:− 588:− 585:⋯ 582:− 574:− 567:λ 553:− 545:− 538:λ 524:− 515:λ 464:− 440:⋯ 429:− 400:− 162:A linear 105:dimension 1713:(1960). 1681:(1970). 1647:See also 1546:and its 129:In both 82:variable 1727:Bibcode 1693:  341:stable 103:) and 1746:(PDF) 90:order 72:, an 1691:ISBN 331:and 1735:doi 1612:). 998:is 893:is 64:In 1781:: 1733:. 1723:13 1721:. 1717:. 1554:. 1166:0. 497:nk 321:nk 124:nk 1737:: 1729:: 1699:. 1552:t 1548:k 1544:x 1530:, 1525:k 1521:c 1517:, 1511:, 1506:1 1502:c 1491:k 1487:k 1483:k 1466:. 1461:t 1456:k 1447:e 1441:k 1437:c 1433:+ 1427:+ 1422:t 1417:1 1408:e 1402:1 1398:c 1394:= 1391:) 1388:t 1385:( 1382:x 1359:; 1354:k 1346:, 1340:, 1335:1 1307:, 1304:0 1301:= 1296:0 1292:a 1288:+ 1280:1 1276:a 1272:+ 1266:+ 1261:1 1255:k 1245:1 1239:k 1235:a 1231:+ 1226:k 1207:k 1203:x 1199:x 1195:k 1191:k 1187:k 1183:n 1163:= 1160:x 1155:0 1151:a 1147:+ 1141:t 1138:d 1133:x 1130:d 1122:1 1118:a 1114:+ 1108:+ 1100:1 1094:k 1090:t 1086:d 1081:x 1076:1 1070:k 1066:d 1057:1 1051:k 1047:a 1043:+ 1035:k 1031:t 1027:d 1022:x 1017:k 1013:d 996:x 992:k 985:n 981:k 977:n 961:0 957:X 933:. 930:X 927:A 924:= 918:t 915:d 910:X 907:d 891:X 887:n 863:t 859:x 848:t 844:k 840:k 824:k 820:c 816:, 810:, 805:1 801:c 777:. 772:t 767:k 757:k 753:c 749:+ 743:+ 738:t 733:1 723:1 719:c 715:= 710:t 706:x 682:, 677:k 669:, 663:, 658:1 640:k 626:0 623:= 618:k 614:a 602:1 596:k 592:a 577:2 571:k 561:2 557:a 548:1 542:k 532:1 528:a 519:k 501:k 493:k 489:n 472:. 467:k 461:t 457:x 451:k 447:a 443:+ 437:+ 432:2 426:t 422:x 416:2 412:a 408:+ 403:1 397:t 393:x 387:1 383:a 379:= 374:t 370:x 356:x 349:A 337:X 333:k 329:X 325:n 305:0 301:X 278:0 274:X 251:0 247:X 241:t 237:A 233:= 228:t 224:X 201:t 197:X 193:A 190:= 185:1 182:+ 179:t 175:X 116:n 112:n 108:n 93:k 86:t 20:)

Index

Seed value
A nonsmooth initial condition for a vibrating string, and the evolution thereof

mathematics
dynamic systems
variable
order
discrete time
continuous time
dimension
coordinate vector
differential equations
difference equations
state variables
closed form solution
initial value problem
matrix difference equation
stable
eigenvalues
characteristic equation
characteristic values
characteristic equation
characteristic values


Nonlinear systems
converges
attractor
basin of attraction
Newton's method#Basins of attraction

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