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Iterated logarithm

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The iterated logarithm grows at an extremely slow rate, much slower than the logarithm itself, or repeats of it. This is because the tetration grows much faster than iterated exponential:
27: 359: 1201: 1004: 430: 1163: 931: 1355: 1192: 450: 379: 314: 138: 106: 79: 780: ≤ 2, which is far more than the estimated number of atoms in the known universe), the iterated logarithm with base 2 has a value no more than 5. 37:(x) from the input n, to the interval . In this case, b = e. The zig-zagging entails starting from the point (n, 0) and iteratively moving to (n, log 33:
Demonstrating log* 4 = 2 for the base-e iterated logarithm. The value of the iterated logarithm can be found by "zig-zagging" on the curve y = log
1258: 698:{\displaystyle {^{y}b}=\underbrace {b^{b^{\cdot ^{\cdot ^{b}}}}} _{y}\gg \underbrace {b^{b^{\cdot ^{\cdot ^{b^{y}}}}}} _{n}} 271:{\displaystyle \log ^{*}n:={\begin{cases}0&{\mbox{if }}n\leq 1;\\1+\log ^{*}(\log n)&{\mbox{if }}n>1\end{cases}}} 1362: 710: 1384: 1061: 1364:
Proceedings of the 16th Annual IEEE Conference on Computational Complexity, Chicago, Illinois, USA, June 18-21, 2001
960: 880: 543: 1309: 937: 485: 473: 876: 323: 20: 966: 388: 1406: 1123: 1051: 1266: 1119: 1050:(2009) . "The iterated logarithm function, in Section 3.2: Standard notations and common functions". 178: 894: 887:, the number of times someone must replace the number by the sum of its digits before reaching its 1317: 884: 1168: 510: 1014: 941: 481: 469: 1368: 1340: 1287: 1232: 1104: 1039: 8: 1411: 141: 1236: 1210: 435: 364: 299: 123: 91: 64: 1331: 1380: 1057: 776:
relevant to counting the running times of algorithms implemented in practice (i.e.,
320:). Mathematically, the iterated logarithm is well defined for any base greater than 1372: 1326: 1275: 1220: 1090: 1035: 1017:, an even more slowly growing function also used in computational complexity theory 293: 54: 1336: 1301: 1283: 1240: 1228: 1100: 948: 476:, appearing in the time and space complexity bounds of some algorithms such as: 1310:"Deterministic coin tossing with applications to optimal parallel list ranking" 1047: 952: 489: 1224: 1400: 1376: 888: 524:
Finding an approximate maximum (element at least as large as the median):
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International Journal of Computational Geometry & Applications
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iterated logarithm (although differing in minor details of
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The simplest formal definition is the result of this 246: 187: 1171: 1126: 969: 897: 713: 577: 438: 391: 367: 326: 302: 153: 126: 94: 67: 120:applied before the result is less than or equal to 1356:"On separators, segregators and time versus space" 1186: 1157: 998: 925: 761: 697: 444: 424: 373: 353: 308: 270: 132: 100: 73: 875:The iterated logarithm is closely related to the 1398: 762:{\displaystyle \log _{b}^{*}x\ll \log _{b}^{n}x} 867:Higher bases give smaller iterated logarithms. 316:) instead of the natural logarithm (with base 1300: 456:) and forms an inverse to the operation of 19:For the theorem in probability theory, see 1076: 1353: 1330: 1214: 1117: 1094: 463: 1253: 544:distributed algorithm for 3-coloring an 432:is "essentially equivalent" to the base 25: 354:{\displaystyle e^{1/e}\approx 1.444667} 1399: 999:{\displaystyle n{\sqrt {\log ^{*}n}}.} 425:{\displaystyle \mathrm {slog} _{b}(n)} 870: 16:Inverse function to a tower of powers 1077:Furuya, Isamu; Kida, Takuya (2019). 468:The iterated logarithm is useful in 565:) synchronous communication rounds. 13: 1172: 1158:{\displaystyle O(n\log ^{\ast }n)} 403: 400: 397: 394: 14: 1423: 1118:Devillers, Olivier (March 1992). 385:. The "super-logarithm" function 1259:"Finding an approximate maximum" 961:non-deterministic Turing machine 881:symmetric level-index arithmetic 1079:"Compaction of Church numerals" 938:computational complexity theory 707:the inverse grows much slower: 486:Euclidean minimum spanning tree 484:of a set of points knowing the 112:"), is the number of times the 1347: 1294: 1247: 1181: 1175: 1152: 1130: 1111: 1070: 1028: 920: 901: 877:generalized logarithm function 784:The base-2 iterated logarithm 513:for integer multiplication: O( 419: 413: 288:is often used to indicate the 240: 228: 1: 1332:10.1016/S0019-9958(86)80023-7 1120:"Randomization yields simple 1021: 926:{\displaystyle O(\log ^{*}n)} 21:Law of the iterated logarithm 1257:; Azar, Yossi (April 1989). 953:deterministic Turing machine 535:− 1 ± 3 parallel operations. 7: 1008: 940:, Santhanam shows that the 10: 1428: 1187:{\displaystyle \Omega (n)} 1053:Introduction to Algorithms 1015:Inverse Ackermann function 18: 1354:Santhanam, Rahul (2001). 1267:SIAM Journal on Computing 1225:10.1142/S021819599200007X 1165:algorithms for difficult 959:— computation time for a 290:binary iterated logarithm 474:computational complexity 1377:10.1109/CCC.2001.933895 1318:Information and Control 942:computational resources 885:persistence of a number 1188: 1159: 1000: 927: 763: 699: 482:Delaunay triangulation 470:analysis of algorithms 464:Analysis of algorithms 446: 426: 375: 355: 310: 272: 134: 102: 75: 50: 1369:IEEE Computer Society 1189: 1160: 1040:Leiserson, Charles E. 1001: 963:— are distinct up to 928: 764: 700: 447: 427: 376: 356: 311: 292:, which iterates the 281:In computer science, 273: 135: 103: 76: 29: 1371:. pp. 286–294. 1169: 1124: 967: 895: 711: 575: 436: 389: 365: 361:, not only for base 324: 300: 151: 124: 92: 65: 1407:Asymptotic analysis 785: 752: 728: 142:recurrence relation 1184: 1155: 996: 923: 871:Other applications 783: 772:For all values of 759: 738: 714: 695: 694: 687: 639: 632: 442: 422: 371: 351: 306: 268: 263: 250: 191: 130: 116:function must be 98: 71: 59:iterated logarithm 51: 1096:10.3390/a12080159 1044:Rivest, Ronald L. 1036:Cormen, Thomas H. 991: 865: 864: 645: 643: 597: 595: 538:Richard Cole and 511:Fürer's algorithm 445:{\displaystyle b} 374:{\displaystyle 2} 309:{\displaystyle 2} 249: 190: 133:{\displaystyle 1} 101:{\displaystyle n} 74:{\displaystyle n} 41:(n) ), to (0, log 1419: 1391: 1390: 1360: 1351: 1345: 1344: 1334: 1314: 1298: 1292: 1291: 1263: 1251: 1245: 1244: 1218: 1198: 1193: 1191: 1190: 1185: 1164: 1162: 1161: 1156: 1145: 1144: 1115: 1109: 1108: 1098: 1074: 1068: 1067: 1032: 1005: 1003: 1002: 997: 992: 984: 983: 974: 949:computation time 932: 930: 929: 924: 913: 912: 858: 848: 838: 828: 818: 808: 797: 786: 782: 768: 766: 765: 760: 751: 746: 727: 722: 704: 702: 701: 696: 693: 688: 683: 682: 681: 680: 679: 678: 677: 676: 675: 674: 638: 633: 628: 627: 626: 625: 624: 623: 622: 621: 591: 587: 586: 559: 529: 501: 451: 449: 448: 443: 431: 429: 428: 423: 412: 411: 406: 380: 378: 377: 372: 360: 358: 357: 352: 344: 343: 339: 315: 313: 312: 307: 294:binary logarithm 286: 277: 275: 274: 269: 267: 266: 251: 247: 224: 223: 192: 188: 163: 162: 139: 137: 136: 131: 107: 105: 104: 99: 86: 80: 78: 77: 72: 55:computer science 1427: 1426: 1422: 1421: 1420: 1418: 1417: 1416: 1397: 1396: 1395: 1394: 1387: 1358: 1352: 1348: 1312: 1299: 1295: 1280:10.1137/0218017 1261: 1252: 1248: 1196: 1170: 1167: 1166: 1140: 1136: 1125: 1122: 1121: 1116: 1112: 1075: 1071: 1064: 1048:Stein, Clifford 1033: 1029: 1024: 1011: 979: 975: 973: 968: 965: 964: 908: 904: 896: 893: 892: 883:. The additive 873: 856: 847:(16, 65536] 846: 836: 826: 816: 806: 795: 747: 742: 723: 718: 712: 709: 708: 689: 670: 666: 665: 661: 660: 656: 655: 651: 650: 646: 644: 634: 617: 613: 612: 608: 607: 603: 602: 598: 596: 582: 579: 578: 576: 573: 572: 557: 527: 517: log  499: 466: 437: 434: 433: 407: 393: 392: 390: 387: 386: 366: 363: 362: 335: 331: 327: 325: 322: 321: 301: 298: 297: 284: 262: 261: 245: 243: 219: 215: 206: 205: 186: 184: 174: 173: 158: 154: 152: 149: 148: 125: 122: 121: 108:(usually read " 93: 90: 89: 84: 66: 63: 62: 48: 44: 40: 36: 24: 17: 12: 11: 5: 1425: 1415: 1414: 1409: 1393: 1392: 1385: 1346: 1293: 1274:(2): 258–267. 1246: 1183: 1180: 1177: 1174: 1154: 1151: 1148: 1143: 1139: 1135: 1132: 1129: 1110: 1089:(8) 159: 159. 1069: 1062: 1026: 1025: 1023: 1020: 1019: 1018: 1010: 1007: 995: 990: 987: 982: 978: 972: 922: 919: 916: 911: 907: 903: 900: 872: 869: 863: 862: 859: 857:(65536, 2] 853: 852: 849: 843: 842: 839: 833: 832: 829: 823: 822: 819: 813: 812: 809: 803: 802: 792: 758: 755: 750: 745: 741: 737: 734: 731: 726: 721: 717: 692: 686: 673: 669: 664: 659: 654: 649: 642: 637: 631: 620: 616: 611: 606: 601: 594: 590: 585: 581: 567: 566: 536: 522: 508: 465: 462: 441: 421: 418: 415: 410: 405: 402: 399: 396: 370: 350: 347: 342: 338: 334: 330: 305: 279: 278: 265: 260: 257: 254: 244: 242: 239: 236: 233: 230: 227: 222: 218: 214: 211: 208: 207: 204: 201: 198: 195: 185: 183: 180: 179: 177: 172: 169: 166: 161: 157: 129: 97: 70: 46: 45:(n) ), to (log 42: 38: 34: 15: 9: 6: 4: 3: 2: 1424: 1413: 1410: 1408: 1405: 1404: 1402: 1388: 1386:0-7695-1053-1 1382: 1378: 1374: 1370: 1366: 1365: 1357: 1350: 1342: 1338: 1333: 1328: 1324: 1320: 1319: 1311: 1308:(July 1986). 1307: 1303: 1302:Cole, Richard 1297: 1289: 1285: 1281: 1277: 1273: 1269: 1268: 1260: 1256: 1250: 1242: 1238: 1234: 1230: 1226: 1222: 1217: 1212: 1209:(1): 97–111. 1208: 1204: 1203: 1195: 1178: 1149: 1146: 1141: 1137: 1133: 1127: 1114: 1106: 1102: 1097: 1092: 1088: 1084: 1080: 1073: 1065: 1063:0-262-03384-4 1059: 1055: 1054: 1049: 1045: 1041: 1037: 1031: 1027: 1016: 1013: 1012: 1006: 993: 988: 985: 980: 976: 970: 962: 958: 954: 950: 946: 943: 939: 934: 917: 914: 909: 905: 898: 890: 886: 882: 878: 868: 860: 855: 854: 850: 845: 844: 840: 835: 834: 830: 825: 824: 820: 815: 814: 810: 805: 804: 801: 793: 791: 788: 787: 781: 779: 775: 770: 756: 753: 748: 743: 739: 735: 732: 729: 724: 719: 715: 705: 690: 684: 671: 667: 662: 657: 652: 647: 640: 635: 629: 618: 614: 609: 604: 599: 592: 588: 583: 580: 570: 564: 560: 553: 549: 547: 541: 537: 534: 530: 523: 520: 516: 512: 509: 506: 502: 495: 491: 488:: randomized 487: 483: 479: 478: 477: 475: 471: 461: 459: 455: 439: 416: 408: 384: 368: 348: 345: 340: 336: 332: 328: 319: 303: 295: 291: 287: 258: 255: 252: 237: 234: 231: 225: 220: 216: 212: 209: 202: 199: 196: 193: 181: 175: 170: 167: 164: 159: 155: 147: 146: 145: 143: 127: 119: 115: 111: 95: 87: 68: 60: 56: 32: 28: 22: 1363: 1349: 1325:(1): 32–53. 1322: 1316: 1306:Vishkin, Uzi 1296: 1271: 1265: 1249: 1206: 1200: 1113: 1086: 1082: 1072: 1052: 1030: 935: 889:digital root 874: 866: 799: 789: 777: 773: 771: 706: 571: 568: 562: 555: 551: 545: 532: 525: 518: 514: 504: 497: 493: 480:Finding the 467: 382: 317: 289: 282: 280: 109: 82: 58: 52: 30: 837:(4, 16] 807:(−∞, 1] 540:Uzi Vishkin 296:(with base 118:iteratively 1412:Logarithms 1401:Categories 1255:Alon, Noga 1216:cs/9810007 1083:Algorithms 1022:References 827:(2, 4] 817:(1, 2] 81:, written 1194:problems" 1173:Ω 1147:⁡ 1142:∗ 986:⁡ 981:∗ 915:⁡ 910:∗ 754:⁡ 736:≪ 730:⁡ 725:∗ 685:⏟ 663:⋅ 658:⋅ 641:≫ 630:⏟ 615:⋅ 610:⋅ 521: 2). 458:tetration 381:and base 346:≈ 235:⁡ 226:⁡ 221:∗ 197:≤ 165:⁡ 160:∗ 114:logarithm 49:(n), 0 ). 31:Figure 1. 1009:See also 879:used in 454:rounding 349:1.444667 248:if  189:if  110:log star 1341:0853994 1288:0986665 1233:1159844 1105:3998658 507:) time. 1383:  1339:  1286:  1239:  1231:  1103:  1060:  955:— and 951:for a 798:  561:  548:-cycle 531:  503:  496:  88:  57:, the 1359:(PDF) 1313:(PDF) 1262:(PDF) 1241:60203 1237:S2CID 1211:arXiv 1197:(PDF) 957:NTIME 945:DTIME 891:, is 1381:ISBN 1058:ISBN 472:and 256:> 1373:doi 1327:doi 1276:doi 1221:doi 1138:log 1091:doi 977:log 936:In 906:log 740:log 716:log 556:log 542:'s 498:log 232:log 217:log 156:log 83:log 61:of 53:In 1403:: 1379:. 1367:. 1361:. 1337:MR 1335:. 1323:70 1321:. 1315:. 1304:; 1284:MR 1282:. 1272:18 1270:. 1264:. 1235:. 1229:MR 1227:. 1219:. 1205:. 1199:. 1101:MR 1099:. 1087:12 1085:. 1081:. 1046:; 1042:; 1038:; 947:— 933:. 861:5 851:4 841:3 831:2 821:1 811:0 794:lg 769:. 550:: 526:lg 460:. 283:lg 171::= 144:: 1389:. 1375:: 1343:. 1329:: 1290:. 1278:: 1243:. 1223:: 1213:: 1207:2 1182:) 1179:n 1176:( 1153:) 1150:n 1134:n 1131:( 1128:O 1107:. 1093:: 1066:. 994:. 989:n 971:n 921:) 918:n 902:( 899:O 800:x 796:* 790:x 778:n 774:n 757:x 749:n 744:b 733:x 720:b 691:n 672:y 668:b 653:b 648:b 636:y 619:b 605:b 600:b 593:= 589:b 584:y 563:n 558:* 554:( 552:O 546:n 533:n 528:* 519:n 515:n 505:n 500:* 494:n 492:( 490:O 440:b 420:) 417:n 414:( 409:b 404:g 401:o 398:l 395:s 383:e 369:2 341:e 337:/ 333:1 329:e 318:e 304:2 285:* 259:1 253:n 241:) 238:n 229:( 213:+ 210:1 203:; 200:1 194:n 182:0 176:{ 168:n 128:1 96:n 85:* 69:n 47:b 43:b 39:b 35:b 23:.

Index

Law of the iterated logarithm

computer science
log*
logarithm
iteratively
recurrence relation
binary logarithm
rounding
tetration
analysis of algorithms
computational complexity
Delaunay triangulation
Euclidean minimum spanning tree
O
log*
Fürer's algorithm
lg*
Uzi Vishkin
distributed algorithm for 3-coloring an n-cycle
log*
generalized logarithm function
symmetric level-index arithmetic
persistence of a number
digital root
computational complexity theory
computational resources
DTIME
computation time
deterministic Turing machine

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