等差数列倍增规律

更新时间:2022-10-27 17:59:44 阅读: 评论:0

规律

等差数列倍增规律包含两个规律:

第一规律:

自3开始到43共包含5个数列项36个非数列项。延长一倍后到第9项83,自43到83共包含5个数列项和36个非数列项。数列项个数和非数列项个数与前半部分是一样的。这是等差数列倍增规律的第一个重要结论。

第二规律:

自3 和自43开始的各数列项位置是重复的,非数列项位置也是重复的,与前半部分是一模一样的。这是等差数列倍增规律的第二个结论。

将很多等差数列叠加在一起,也同样具有这一性质。

有若干整数等差数列,在这些等差数列重叠部分截取较长一段长度N,在这些等差数列中有不同项M1个。当这些等差数列全部向同方向增加长度N后,在N-2N内有不同项M2个。根据容斥原理,M1=M2。只是因为N在等差数列中与项的位置不同,会有一些小的误差,故这里应该是M1≈M2。也就是说,多个等差数列叠加在一起后,延长一倍,则其中不同项的个数也会大致增加一倍。增加的倍数会在1附近稍有变化。类似于量子力学的概率说法。

比如:

2的倍数数列24681012141618
3的倍数数列369121518
叠加234689101214151618
倍增关系2到8叠加后共5个项2、3、4、6、8、及2个非数列项5、712到18叠加后也有5个项12、14、15、16、18及2个非数列项13、17

有关应用

所有的合数都可以写成公式XY格式,这里的Xu003e1.yu003e1,同时XY也构成了所有合数。XY的结果可以组成了很多行的等差数列,这些等差数列上的项构成了全体合数,而不在项上的整数数字就是素数。或者说非数列项就是素数。因此,等差数列倍增规律第一规律将在素数个数问题上可以发挥重要作用,第二规律将在素数分布问题上发挥重要作用。

孪生素数猜想、三胞胎素数猜想、四胞胎素数猜想、六素数猜想等许多涉及素数个数的数论猜想均可以通过等差数列倍增规律来证明。如通过等差数列形成的孪生素数筛法可以筛选孪生素数,再利用等差数列倍增规律就可以证明孪生素数猜想,而且是孪生素数猜想初等证明。

参看下面两个表格

素数的个位为1素数的个位为3如11-13类型孪生素数四胞胎素数
素数个数倍增比值素数个数倍增比值孪生素数个数倍增比值四胞胎素数个数倍增比值
2911.000031.500011.000011.0000
4933.000041.333322.000011.0000
8951.666771.750031.500011.0000
16981.6000101.428641.333322.0000
329162.0000181.800071.750031.5000
649281.7500301.6667111.571431.0000
1289501.7857541.8000171.545541.3333
2569921.8400971.7963271.588271.7500
51291681.82611751.8041461.703791.2857
102493131.86313171.8114681.4783111.2222
204895761.84035831.83911191.7500181.6364
4096910591.838510861.86282051.7227231.2778
8192919861.875420021.84353461.6878331.4348
16384937481.887237551.87566041.7457451.3636
32768970351.877070711.883110821.7914721.6000
655369132821.8880133381.886319381.79111241.7222
1310729251721.8952252091.890034421.77612141.7258
2621449478211.8998478511.898262201.80713631.6963
5242889909571.9020911101.9040112651.81115601.5427
104857691736331.90901737561.9071206521.83339301.6607
209715293319691.91193322011.9119375501.818215291.6441
419430496359721.91586361081.9148684051.821724871.6266
8388608912205771.919212207651.91911258681.840041891.6844
16777216923461421.922223465301.92222323021.845670541.6839
33554432945168001.925245174281.92524298781.8505120061.7020
67108864987077731.927987078221.92767978561.8560205571.7122
1342177289168091601.9304168103461.930514868821.8636358481.7438
2684354569324866971.9327324878521.932627764611.8673623871.7403
5368709129628589651.9349628595101.934951957861.87141091131.7490
107374182491217560741.93701217574901.937097473281.87601913561.7537

每亿之间四胞胎素数统计结果(四胞胎素数省略了个位,如首个四胞胎素数1填上个位后就是11-13-17-19)

范围首位四胞胎素数末位四胞胎素数个数相邻区间个数比值
0-1亿199982244767
1-2亿100005461999322833290.698342773
2-3亿200036532999570828760.8639231
3-4亿300028453999977227400.9527121
4-5亿400057124999982226180.955474453
5-6亿500227335999355725080.957983193
6-7亿600035746999891124360.971291866
7-8亿700014647999376823850.979064039
8-9亿800008638999943724221.015513627
9-10亿900025669999861723060.952105698
10-11亿10000252610999601522080.957502168
11-12亿11002581411999786222171.004076087
12-13亿12000184312998189521370.963915201
13-14亿13000043513999922821110.987833411
14-15亿14000359914998554721020.995736618
15-16亿15000488815999415020360.968601332
16-17亿16000185716999341420250.99459725
17-18亿17000384217999698619990.987160494
18-19亿18000112018999960120431.022011006
19-20亿19000088219998292619960.976994616
20-21亿20001277920999695618900.946893788
21-22亿21001854421999699718610.984656085
22-23亿22000080722999320719691.058033315
23-24亿23000302623999612519440.9873032
24-25亿24000097624999010919000.977366255
25-26亿25000627025999949819331.017368421
26-27亿26000038926999712719060.986032074
27-28亿27000075727999592919281.011542497
28-29亿28000505528999726318750.972510373
29-30亿29000269329999644318730.998933333
30-31亿30000417430999910017860.953550454
31-32亿31000143431998645117570.983762598
32-33亿32000530632999170017651.004553216
33-34亿33000565633999700317410.986402266
34-35亿34000156034999788717731.018380241
35-36亿35000418435999612217220.971235195
36-37亿36000220036999215517661.025551684
37-38亿37000125737999878117691.001698754
38-39亿38000530938999866617290.977388355
39-40亿39000843139998875317631.019664546
40-41亿40000208840999426617280.980147476
41-42亿41000342241999802418081.046296296
42-43亿42000138442999462416800.92920354
43-44亿43000151243998837716360.973809524
44-45亿44000805444998973216961.036674817
45-46亿45000010645999909717121.009433962
46-47亿46001216246999884716730.977219626
47-48亿47000710047999837517101.022115959
48-49亿48001959448998975517241.008187135
49-50亿49000268249999725116710.969257541
50-51亿50000202150999562416931.013165769
51-52亿51000505351999910316650.983461311
52-53亿52000078052999360017201.033033033
53-54亿53001272253998650116140.938372093
54-55亿54000042754999739316751.0377943
55-56亿55000173755999939616841.005373134
56-57亿56000400756999460116480.978622328
57-58亿57000955057999488216491.000606796
58-59亿58000218158999011715830.959975743
59-60亿59000041959999209315931.006317119
60-61亿60000095560999647215590.978656623
61-62亿61001831261999781516001.02629891
62-63亿62000341062998740116001
63-64亿63001232563999714416401.025
64-65亿64000762364999639015480.943902439
65-66亿65000891565998751515661.011627907
66-67亿66000062266999981115761.006385696
67-68亿67001766467998466315710.996827411
68-69亿68000088468999770314990.954169319
69-70亿69000372169999357715731.049366244
70-71亿70000104470998740515881.009535919
71-72亿71001174471997101215780.993702771
72-73亿72000942472999839815160.960709759
73-74亿73000051073999802215461.019788918
74-75亿74000108574999823115320.990944373
75-76亿75000250675999379914650.956266319
76-77亿76000081376999736215511.058703072
77-78亿77000661177999283715170.978078659
78-79亿78000022678999735115000.988793672
79-80亿79000119479999102915081.005333333
80-81亿80000720280999738514940.99071618
81-82亿81000160381999940015011.004685408
82-83亿82000279382999788715321.020652898
83-84亿83000666583999801515771.029373368
84-85亿84000403084999342715400.97653773
85-86亿85000273085999716416181.050649351
86-87亿86002736586999475115220.940667491
87-88亿87000020287999810114520.954007884
88-89亿88000640888999701114931.028236915
89-90亿89000929389999438515281.023442733
90-91亿90000150490998886415050.984947644
91-92亿91000224191999494114720.97807309
92-93亿92001262692999908014961.016304348
93-94亿93000211693999450114850.992647059
94-95亿94000566494997731315331.032323232
95-96亿95001674295999193114390.938682322
96-97亿96001261696999966114731.023627519
97-98亿97000192997998507714380.976238968
98-99亿98001160998999374914661.019471488
99-100亿99000345199998572914580.994542974
100-101亿1000005742100999488415121.037037037
101-102亿1010020147101999988414650.968915344
102-103亿1020027520102999102114691.002730375
103-104亿1030006843103999751214160.963921035
104-105亿1040024119104999709114641.033898305
105-106亿1050008335105997711014841.013661202
106-107亿1060013125106999209414690.989892183
107-108亿1070001178107999875014250.970047651
108-109亿1080001933108998279213910.976140351
109-110亿1090010332109999172814261.025161754
110-111亿1100006773110999767314761.035063114
111-112亿1110008737111998762214660.993224932
112-113亿1120003813112999244514530.991132333
113-114亿1130002879113999976114701.011699931
114-115亿1140001843114999651714670.997959184
115-116亿1150003366115999126014470.986366735
116-117亿1160009569116999004114701.015894955
117-118亿1170002053117999545814260.970068027
118-119亿1180003081118999724514190.995091164
119-120亿1190010013119999894514821.044397463
120-121亿1200007336120999373014740.994601889
121-122亿1210002403121999747914160.960651289
122-123亿1220001868122999165213870.979519774
123-124亿1230000628123999901313520.974765681
124-125亿1240003621124999458114721.088757396
125-126亿1250000314125999512614050.954483696
126-127亿1260002320126999712314371.022775801
127-128亿1270012906127999118214100.981210856
128-129亿1280008903128999723813650.968085106
129-130亿1290002785129999225113971.023443223
130-131亿1300003570130999300014401.030780243
131-132亿1310008990131999422914140.981944444
132-133亿1320027409132999984414581.031117397
133-134亿1330003771133999703214761.012345679
134-135亿1340008279134998890414230.964092141
135-136亿1350016648135998238714551.022487702

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