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221:). A simpler proof of this based on left-sets was given by Ogihara and Watanabe in 1991. Mahaney's argument does not actually require the sparse language to be in NP (because the existence of an NP-hard sparse set implies the existence of an NP-complete sparse set), so there is a sparse 316: 135: 357:
Jin-Yi Cai. Lecture 11: P=poly, Sparse Sets, and Mahaney's Theorem. CS 810: Introduction to Complexity Theory. The University of Wisconsin–Madison. September 18, 2003 (PDF)
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M. Ogiwara and O. Watanabe. On polynomial time bounded truth-table reducibility of NP sets to sparse sets.
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In 1999, Jin-Yi Cai and D. Sivakumar, building on work by Ogihara, showed that if there exists a sparse
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are sparse. An example of a nontrivial sparse language is the set of binary strings containing exactly
73:, and if a language only contains polynomially many of these, then the proportion of strings of length 482: 218: 101: 98: 33: 460: 435:
Juris Hartmanis, Neil Immerman, Vivian Sewelson. Sparse Sets in NP-P: EXPTIME versus NEXPTIME.
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Jin-Yi Cai and D. Sivakumar. Sparse hard sets for P: resolution of a conjecture of Hartmanis.
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S. R. Mahaney. Sparse complete sets for NP: Solution of a conjecture by Berman and Hartmanis.
263: 55: 488: 247: 193: 50: 25: 356: 499: 336: 330: 267: 241: 186: 159: 82: 513: 478: 504: 48:. They are used primarily in the study of the relationship of the complexity class 203: 440: 322: 41: 464: 222: 168: 311:{\displaystyle {\textbf {NP}}\subseteq {\textbf {P}}/{\text{poly}}} 202:. Mahaney used this to show in 1982 that if any sparse language is 407:
Balcázar, José Luis; Díaz, Josep; Gabarró, Joaquim (1990).
162:, since these have at most one string of any one length. 274:-complete language to a sparse language if and only if 185:
Fortune showed in 1979 that if any sparse language is
280: 104: 310: 129: 121: 108: 69:because there are a total of 2 strings of length 251:if and only if there exist sparse languages in 138:strings in the language, which is bounded by 8: 367:S. Fortune. A note on sparse complete sets. 36:, counting the number of strings of length 439:, volume 65, issue 2/3, pp.158–181. 1985. 303: 298: 292: 291: 282: 281: 279: 146:Relationships to other complexity classes 120: 107: 105: 103: 77:that it contains rapidly goes to zero as 455:, volume 58, issue 2, pp.280–296. 1999. 453:Journal of Computer and System Sciences 382:Journal of Computer and System Sciences 349: 371:, volume 8, issue 3, pp.431–433. 1979. 7: 293: 283: 112: 58:of all sparse languages is called 14: 40:in the language, is bounded by a 493:Sparse Sets (Tribute to Mahaney) 270:from Mahaney's theorem) from an 176:polynomial-time Turing reduction 525:Computational complexity theory 130:{\displaystyle {\binom {n}{k}}} 18:computational complexity theory 167:Although not all languages in 1: 483:Favorite Theorems: Small Sets 397:volume 20, pp.471–483. 1991. 65:Sparse languages are called 182:/poly to a sparse language. 541: 395:SIAM Journal on Computing 369:SIAM Journal on Computing 409:Structural Complexity II 54:with other classes. The 437:Information and Control 174:are sparse, there is a 441:At ACM Digital Library 312: 131: 89:1 bits for some fixed 313: 178:from any language in 132: 415:. pp. 130–131. 278: 102: 266:(as opposed to the 228:set if and only if 34:complexity function 308: 127: 485:. April 18, 2006. 384:25:130–143. 1982. 306: 295: 285: 219:Mahaney's theorem 119: 97:, there are only 532: 520:Formal languages 495:. June 29, 2007. 467: 449: 443: 433: 427: 426: 404: 398: 391: 385: 378: 372: 365: 359: 354: 317: 315: 314: 309: 307: 304: 302: 297: 296: 287: 286: 264:Turing reduction 255:that are not in 136: 134: 133: 128: 126: 125: 124: 111: 56:complexity class 32:) such that the 540: 539: 535: 534: 533: 531: 530: 529: 510: 509: 489:William Gasarch 475: 470: 450: 446: 434: 430: 423: 406: 405: 401: 392: 388: 379: 375: 366: 362: 355: 351: 347: 276: 275: 160:unary languages 158:, the class of 148: 106: 100: 99: 83:unary languages 26:formal language 22:sparse language 12: 11: 5: 538: 536: 528: 527: 522: 512: 511: 508: 507: 500:Complexity Zoo 496: 486: 474: 473:External links 471: 469: 468: 444: 428: 421: 399: 386: 373: 360: 348: 346: 343: 342: 341: 328:problem, then 319: 301: 290: 268:Karp reduction 260: 237: 183: 164: 163: 147: 144: 123: 118: 115: 110: 13: 10: 9: 6: 4: 3: 2: 537: 526: 523: 521: 518: 517: 515: 506: 502: 501: 497: 494: 490: 487: 484: 480: 479:Lance Fortnow 477: 476: 472: 466: 462: 458: 454: 448: 445: 442: 438: 432: 429: 424: 422:3-540-52079-1 418: 414: 410: 403: 400: 396: 390: 387: 383: 377: 374: 370: 364: 361: 358: 353: 350: 344: 339: 338: 333: 332: 327: 325: 320: 299: 288: 273: 269: 265: 261: 258: 254: 250: 249: 244: 243: 238: 235: 231: 227: 225: 220: 216: 212: 208: 206: 201: 200: 196: 191: 189: 184: 181: 177: 173: 171: 166: 165: 161: 157: 153: 150: 149: 145: 143: 141: 137: 116: 113: 96: 92: 88: 84: 80: 76: 72: 68: 63: 61: 57: 53: 52: 47: 43: 39: 35: 31: 27: 23: 19: 498: 452: 447: 436: 431: 408: 402: 394: 389: 381: 376: 368: 363: 352: 335: 329: 323: 271: 256: 252: 246: 240: 233: 229: 223: 214: 210: 204: 198: 194: 187: 179: 169: 155: 151: 139: 94: 90: 86: 78: 74: 70: 66: 64: 59: 49: 45: 44:function of 37: 21: 15: 465:At Citeseer 262:There is a 93:; for each 81:grows. All 514:Categories 345:References 42:polynomial 28:(a set of 461:0022-0000 326:-complete 289:⊆ 239:Further, 217:(this is 207:-complete 190:-complete 154:contains 413:Springer 209:, then 192:, then 30:strings 505:SPARSE 459:  419:  152:SPARSE 67:sparse 60:SPARSE 226:-hard 188:co-NP 172:/poly 156:TALLY 24:is a 457:ISSN 417:ISBN 305:poly 20:, a 16:In 516:: 503:: 491:. 481:. 463:. 411:. 334:= 284:NP 272:NP 253:NP 248:NE 245:≠ 234:NP 232:= 224:NP 215:NP 213:= 205:NP 199:NP 197:= 142:. 62:. 51:NP 425:. 340:. 337:P 331:L 324:P 318:. 300:/ 294:P 259:. 257:P 242:E 236:. 230:P 211:P 195:P 180:P 170:P 140:n 122:) 117:k 114:n 109:( 95:n 91:k 87:k 79:n 75:n 71:n 46:n 38:n

Index

computational complexity theory
formal language
strings
complexity function
polynomial
NP
complexity class
unary languages
( n k ) {\displaystyle {\binom {n}{k}}}
unary languages
P/poly
polynomial-time Turing reduction
co-NP-complete
P = NP
NP-complete
Mahaney's theorem
NP-hard
E
NE
Turing reduction
Karp reduction
P-complete
L
P
Jin-Yi Cai. Lecture 11: P=poly, Sparse Sets, and Mahaney's Theorem. CS 810: Introduction to Complexity Theory. The University of Wisconsin–Madison. September 18, 2003 (PDF)
Springer
ISBN
3-540-52079-1
At ACM Digital Library
ISSN

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