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Carleman's condition

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In, Nasiraee et al. showed that, despite previous assumptions, when the integrand is an arbitrary function, Carleman's condition is not sufficient, as demonstrated by a counter-example. In fact, the example violates the bijection, i.e. determinacy, property in the probability sum theorem. When the
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M. Nasiraee, Jav. Kazemitabar and Jal. Kazemitabar, "The Bijection Property in the Law of Total Probability and Its Application in Communication Theory," in IEEE Communications Letters, doi: 10.1109/LCOMM.2024.3447352.
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S. S. Shamai, “Capacity of a pulse amplitude modulated direct detection photon channel,” IEE Proceedings I (Communications, Speech and Vision), vol. 137, no. 6, pp. 424–430, Dec. 1990.
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integrand is an arbitrary function, they further establish a sufficient condition for the determinacy of the moment problem, referred to as the
638:. 5th ed. Cambridge Series in Statistical and Probabilistic Mathematics 49. Cambridge ; New York, NY: Cambridge University Press, 2019. 651: 656: 661: 478: 111: 138: 29: 17: 72: 417: 144: 439: 360: 99: 78: 397: 120: 54: 34: 267:{\displaystyle m_{n}=\int _{-\infty }^{+\infty }x^{n}\,d\mu (x)~,\quad n=0,1,2,\cdots } 25: 645: 114:(the moment problem on the whole real line), the theorem states the following: 350:{\displaystyle \sum _{n=1}^{\infty }m_{2n}^{-{\frac {1}{2n}}}=+\infty ,} 554:{\displaystyle \sum _{n=1}^{\infty }m_{n}^{-{\frac {1}{2n}}}=+\infty .} 628:
The Classical Moment Problem and Some Related Questions in Analysis
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satisfies Carleman's condition, there is no other measure
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gives a sufficient condition for the determinacy of the
487: 442: 420: 400: 363: 280: 169: 147: 123: 81: 57: 37: 553: 461: 428: 406: 382: 349: 266: 155: 129: 90: 63: 43: 481:, the sufficient condition for determinacy is 8: 522: 518: 513: 503: 492: 486: 450: 441: 422: 421: 419: 399: 371: 362: 318: 314: 306: 296: 285: 279: 214: 208: 195: 187: 174: 168: 149: 148: 146: 122: 80: 56: 36: 592: 585: 7: 545: 504: 341: 297: 199: 191: 14: 16:In mathematics, particularly, in 667:Theorems in approximation theory 636:Probability: Theory and Examples 574:generalized Carleman's condition 567:Generalized Carleman's condition 98:The condition was discovered by 634:Chapter 3.3, Durrett, Richard. 236: 456: 443: 377: 364: 227: 221: 1: 469:as its sequence of moments. 429:{\displaystyle \mathbb {R} } 357:then the moment problem for 156:{\displaystyle \mathbb {R} } 683: 163:such that all the moments 566: 626:Akhiezer, N. I. (1965). 479:Stieltjes moment problem 473:Stieltjes moment problem 112:Hamburger moment problem 106:Hamburger moment problem 462:{\displaystyle (m_{n})} 414:is the only measure on 383:{\displaystyle (m_{n})} 555: 508: 463: 430: 408: 384: 351: 301: 268: 157: 131: 92: 65: 45: 652:Mathematical analysis 556: 488: 464: 431: 409: 385: 352: 281: 269: 158: 132: 93: 91:{\displaystyle \mu .} 66: 46: 657:Moment (mathematics) 630:. Oliver & Boyd. 485: 440: 418: 407:{\displaystyle \mu } 398: 361: 278: 167: 145: 130:{\displaystyle \mu } 121: 79: 64:{\displaystyle \nu } 55: 44:{\displaystyle \mu } 35: 22:Carleman's condition 538: 334: 203: 662:Probability theory 551: 509: 459: 426: 404: 380: 347: 302: 264: 183: 153: 127: 88: 61: 41: 535: 331: 232: 674: 631: 613: 610: 604: 601: 595: 590: 560: 558: 557: 552: 537: 536: 534: 523: 517: 507: 502: 468: 466: 465: 460: 455: 454: 435: 433: 432: 427: 425: 413: 411: 410: 405: 389: 387: 386: 381: 376: 375: 356: 354: 353: 348: 333: 332: 330: 319: 313: 300: 295: 273: 271: 270: 265: 230: 213: 212: 202: 194: 179: 178: 162: 160: 159: 154: 152: 136: 134: 133: 128: 100:Torsten Carleman 97: 95: 94: 89: 71:having the same 70: 68: 67: 62: 50: 48: 47: 42: 28:. That is, if a 682: 681: 677: 676: 675: 673: 672: 671: 642: 641: 625: 622: 617: 616: 611: 607: 602: 598: 593:Akhiezer (1965) 591: 587: 582: 569: 563: 527: 483: 482: 475: 446: 438: 437: 416: 415: 396: 395: 367: 359: 358: 323: 276: 275: 274:are finite. If 204: 170: 165: 164: 143: 142: 119: 118: 108: 77: 76: 53: 52: 33: 32: 12: 11: 5: 680: 678: 670: 669: 664: 659: 654: 644: 643: 640: 639: 632: 621: 618: 615: 614: 605: 596: 584: 583: 581: 578: 568: 565: 550: 547: 544: 541: 533: 530: 526: 521: 516: 512: 506: 501: 498: 495: 491: 474: 471: 458: 453: 449: 445: 424: 403: 379: 374: 370: 366: 346: 343: 340: 337: 329: 326: 322: 317: 312: 309: 305: 299: 294: 291: 288: 284: 263: 260: 257: 254: 251: 248: 245: 242: 239: 235: 229: 226: 223: 220: 217: 211: 207: 201: 198: 193: 190: 186: 182: 177: 173: 151: 126: 107: 104: 87: 84: 60: 40: 26:moment problem 13: 10: 9: 6: 4: 3: 2: 679: 668: 665: 663: 660: 658: 655: 653: 650: 649: 647: 637: 633: 629: 624: 623: 619: 609: 606: 600: 597: 594: 589: 586: 579: 577: 575: 564: 561: 548: 542: 539: 531: 528: 524: 519: 514: 510: 499: 496: 493: 489: 480: 472: 470: 451: 447: 401: 393: 372: 368: 344: 338: 335: 327: 324: 320: 315: 310: 307: 303: 292: 289: 286: 282: 261: 258: 255: 252: 249: 246: 243: 240: 237: 233: 224: 218: 215: 209: 205: 196: 188: 184: 180: 175: 171: 140: 124: 115: 113: 105: 103: 101: 85: 82: 74: 58: 38: 31: 27: 23: 19: 635: 627: 608: 599: 588: 573: 570: 562: 476: 391: 116: 109: 21: 15: 394:; that is, 392:determinate 646:Categories 620:References 546:∞ 520:− 505:∞ 490:∑ 402:μ 342:∞ 316:− 298:∞ 283:∑ 262:⋯ 219:μ 200:∞ 192:∞ 189:− 185:∫ 125:μ 102:in 1922. 83:μ 59:ν 39:μ 477:For the 110:For the 18:analysis 139:measure 73:moments 30:measure 231:  580:Notes 436:with 137:be a 117:Let 390:is 141:on 75:as 648:: 576:. 20:, 549:. 543:+ 540:= 532:n 529:2 525:1 515:n 511:m 500:1 497:= 494:n 457:) 452:n 448:m 444:( 423:R 378:) 373:n 369:m 365:( 345:, 339:+ 336:= 328:n 325:2 321:1 311:n 308:2 304:m 293:1 290:= 287:n 259:, 256:2 253:, 250:1 247:, 244:0 241:= 238:n 234:, 228:) 225:x 222:( 216:d 210:n 206:x 197:+ 181:= 176:n 172:m 150:R 86:.

Index

analysis
moment problem
measure
moments
Torsten Carleman
Hamburger moment problem
measure
Stieltjes moment problem
Akhiezer (1965)
Categories
Mathematical analysis
Moment (mathematics)
Probability theory
Theorems in approximation theory

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