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A115109 Marriage system row permutation vector Matrix Markov M1 intial condition. +0
1
1, 2, 12, 18, 62, 420, 682, 5828, 16852, 61952, 201184, 669920, 2184064, 7126784, 23147776, 75118592, 243460096, 788658176, 2553683968, 8267055104, 26758955008, 86606348288, 280288952320, 907084169216, 2935485890560 (list; graph; listen)
OFFSET

0,2

COMMENT

Using only M0 and intitial condition v[0]={1,0,1} the system is Fibonacci. The system in intial matrix sensative. The permutation of row condition is such that if the population number divides by three a permutation is selected. The Matrices are based on {aa,2ab,bb} dominant/recessive gene pairings relating father to mother. It doesn't appear that such marriage systems based on permutations are effective in preventing harmful combinations of genes, but they do change population growth statisics.

REFERENCES

Kemeny,Snell and Thompson,Introduction to Finite Mathematics,1966,Printice-Hall, N,J.,Section 6, Chapter VII

FORMULA

M0 = {{2, 2, 0}, {1, 0, 1}, {0, 2, 2}}; M1 = {{1, 0, 1}, {2, 2, 0}, {0, 2, 2}}; M2 = {{2, 2, 0}, {0, 2, 2}, {1, 0, 1}}; M[n_] := M[n] = If[Mod[v[n][[1]], 3] == 0, M1, If[Mod[v[n][[2]], 3] == 0, M0, M2]] v[0] = {1, 1, 1}; M[0] = {{1, 0, 1}, {2, 2, 0}, {0, 2, 2}}; v[n_] := v[n] = M[n - 1].v[n - 1] a(n) =v[n][[1]]

MATHEMATICA

M0 = {{2, 2, 0}, {1, 0, 1}, {0, 2, 2}}; M1 = {{1, 0, 1}, {2, 2, 0}, {0, 2, 2}}; M2 = {{2, 2, 0}, {0, 2, 2}, {1, 0, 1}}; M[n_] := M[n] = If[Mod[v[n][[1]], 3] == 0, M1, If[Mod[v[n][[2]], 3] == 0, M0, M2]] v[0] = {1, 1, 1}; M[0] = {{1, 0, 1}, {2, 2, 0}, {0, 2, 2}}; v[n_] := v[n] = M[n - 1].v[n - 1] a0 = Table[v[n][[1]], {n, 0, 25}]

CROSSREFS

Sequence in context: A032413 A066238 A101074 this_sequence A048001 A109299 A073257

Adjacent sequences: A115106 A115107 A115108 this_sequence A115110 A115111 A115112

KEYWORD

nonn,uned

AUTHOR

Roger Bagula (rlbagulatftn(AT)yahoo.com), Mar 03 2006

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Last modified July 26 23:19 EDT 2008. Contains 142293 sequences.


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