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A106109
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Let S_0 = {1}; let S_n be the image of S_{n-1} under the morphism 1->{3}, 2->{3, 4}, 3->{6, 5, 6}, 4->{6, 6, 6}, 5->{1}, 6->{1, 2}; sequence gives the concatenation S_0, S_1, S_2, ...
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1, 3, 6, 5, 6, 1, 2, 1, 1, 2, 3, 3, 4, 3, 3, 3, 4, 6, 5, 6, 6, 5, 6, 6, 6, 6, 6, 5, 6, 6, 5, 6, 6, 5, 6, 6, 6, 6, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 3, 3, 4, 3, 3, 3, 4, 3, 3, 4, 3, 3, 3, 4, 3, 3, 4, 3, 3, 4, 3, 3, 4, 3, 3, 4, 3, 3, 3, 4, 3
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OFFSET
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0,2
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COMMENTS
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This simulates a three-level two-state neural net on six symbols: Fibonacci-Cantor-Fibonacci.
This sequence is a morphic sequence, i.e., the letter-to-letter image of a fixed point of a morphism. Let
alpha: 1->3, 2->34, 3->656, 4->666, 5->1, 6->12
be the defining morphism for this sequence.
Define the morphism beta on {1,2,3,4,5,6,7} as follows:
beta(j) = alpha(j) for j<7, beta(7) = 73.
Let y be the fixed point of beta starting with 7.
Define the letter-to-letter map lambda by lambda(j) = j for j<7, and lambda(7) = 1. Then we have for all n:
lambda(beta^n(7)) = 1 alpha(1) ... alpha^n(1) = S_0 S_1 ... S_n.
This is easily proved by induction, using that
lambda(beta^n(3)) = alpha^n(3) = alpha^{n+1}(1).
Letting n tend to infinity we find that
lambda(y) = (a(n)).
(End)
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LINKS
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FORMULA
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1->{3}, 2->{3, 4}, 3->{6, 5, 6}, 4->{6, 6, 6}, 5->{1}, 6->{1, 2}.
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MATHEMATICA
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s[1] = {3}; s[2] = {3, 4}; s[3] = {6, 5, 6}; s[4] = {6, 6, 6}; s[5] = {1}; s[6] = {1, 2}; t[a_] := Flatten[s /@ a]; p[0] = {1}; p[1] = t[p[0]]; p[n_] := t[p[n - 1]] aa = Flatten[Table[p[i], {i, 1, 8}]]
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CROSSREFS
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KEYWORD
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nonn,tabf
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AUTHOR
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EXTENSIONS
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STATUS
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approved
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