799.2 642.3 942 770.7 799.4 699.4 799.4 756.5 571 742.3 770.7 770.7 1056.2 770.7 /FirstChar 33 /LastChar 196 59 0 obj A random graph process on n vertices, Ge(t), is a sequence of ¡ n 2 ¢ graphs, where Ge(0) is the edgeless graph on n vertices, and Ge(t) is the result of adding an edge to Ge(t ¡ 1), uniformly distributed over all the missing edges. /Subtype/Type1 570 517 571.4 437.2 540.3 595.8 625.7 651.4 277.8] 458.6 458.6 458.6 458.6 693.3 406.4 458.6 667.6 719.8 458.6 837.2 941.7 719.8 249.6 708.3 708.3 826.4 826.4 472.2 472.2 472.2 649.3 826.4 826.4 826.4 826.4 0 0 0 0 0 492.9 510.4 505.6 612.3 361.7 429.7 553.2 317.1 939.8 644.7 513.5 534.8 474.4 479.5 531.3 826.4 826.4 826.4 826.4 0 0 826.4 826.4 826.4 1062.5 531.3 531.3 826.4 826.4 /FontDescriptor 56 0 R /FontDescriptor 23 0 R 295.1 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 295.1 295.1 /Type/Font 1062.5 1062.5 826.4 288.2 1062.5 708.3 708.3 944.5 944.5 0 0 590.3 590.3 708.3 531.3 510.9 484.7 667.6 484.7 484.7 406.4 458.6 917.2 458.6 458.6 458.6 0 0 0 0 0 0 0 0 319.4 575 319.4 319.4 559 638.9 511.1 638.9 527.1 351.4 575 638.9 319.4 351.4 606.9 489.6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 611.8 816 Preview. /FontDescriptor 38 0 R >> 892.9 892.9 892.9 892.9 892.9 892.9 892.9 892.9 892.9 892.9 892.9 1138.9 1138.9 892.9 /Widths[1222.2 638.9 638.9 1222.2 1222.2 1222.2 963 1222.2 1222.2 768.5 768.5 1222.2 24 0 obj /Widths[1000 500 500 1000 1000 1000 777.8 1000 1000 611.1 611.1 1000 1000 1000 777.8 277.8 500 555.6 444.4 555.6 444.4 305.6 500 555.6 277.8 305.6 527.8 277.8 833.3 555.6 /LastChar 196 /Subtype/Type1 45 0 obj 1000 1000 1055.6 1055.6 1055.6 777.8 666.7 666.7 450 450 450 450 777.8 777.8 0 0 846.3 938.8 854.5 1427.2 1005.7 973 878.4 1008.3 1061.4 762 711.3 774.4 785.2 1222.7 /BaseFont/DWUTAO+CMR17 249.6 719.8 432.5 432.5 719.8 693.3 654.3 667.6 706.6 628.2 602.1 726.3 693.3 327.6 1222.2 1222.2 963 365.7 1222.2 833.3 833.3 1092.6 1092.6 0 0 703.7 703.7 833.3 638.9 /Subtype/Type1 /LastChar 196 /FontDescriptor 53 0 R 323.4 569.4 569.4 569.4 569.4 569.4 569.4 569.4 569.4 569.4 569.4 569.4 323.4 323.4 500 500 500 500 500 500 500 500 500 500 500 277.8 277.8 777.8 500 777.8 500 530.9 /Name/F13 Probab. 298.4 878 600.2 484.7 503.1 446.4 451.2 468.8 361.1 572.5 484.7 715.9 571.5 490.3 /FontDescriptor 11 0 R /Type/Font 500 555.6 527.8 391.7 394.4 388.9 555.6 527.8 722.2 527.8 527.8 444.4 500 1000 500 /LastChar 196 667.6 719.8 667.6 719.8 0 0 667.6 525.4 499.3 499.3 748.9 748.9 249.6 275.8 458.6 343.8 593.8 312.5 937.5 625 562.5 625 593.8 459.5 443.8 437.5 625 593.8 812.5 593.8 /LastChar 196 << 762.8 642 790.6 759.3 613.2 584.4 682.8 583.3 944.4 828.5 580.6 682.6 388.9 388.9 /FontDescriptor 29 0 R << 756 339.3] 21 0 obj /FirstChar 33 575 575 575 575 575 575 575 575 575 575 575 319.4 319.4 350 894.4 543.1 543.1 894.4 542.4 542.4 456.8 513.9 1027.8 513.9 513.9 513.9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Two other applications are to random processes which generate independent sets of vertices in random $r$-regular graphs. 585.3 831.4 831.4 892.9 892.9 708.3 917.6 753.4 620.2 889.5 616.1 818.4 688.5 978.6 /Type/Font /Name/F14 /Type/Font << As one application we consider random graph processes in which the maximum degree is bounded and show that the numbers of vertices of given degree exhibit this convergence as the total number of vertices tends to infinity. /LastChar 196 12 0 obj Ann. 275 1000 666.7 666.7 888.9 888.9 0 0 555.6 555.6 666.7 500 722.2 722.2 777.8 777.8 The theory of random graphs began in the late 1950s in several papers by Erd¨os and R´enyi.

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