Calculate
ln ⎝ ⎛ γ 1 ∈ { − 1 , 1 } ∑ … γ 2 0 1 4 ∈ { − 1 , 1 } ∑ e γ 1 γ 2 e γ 2 γ 3 … e γ 2 0 1 3 γ 2 0 1 4 ⎠ ⎞ .
Note: This kind of summation has applications in the statistical mechanics of magnets and simple models of neural networks.
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Why not ln S n = 2 0 1 4 ln ( e + e − 1 ) by the method of generating functions?
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Letting S n be the sum, we note that S n = e S n − 1 + e − 1 S n − 1 by separating it into the cases where γ n = γ n − 1 and γ n = − γ n − 1 .
So S n = ( e + e − 1 ) S n − 1 .
Applying this inductively, we get S n = ( e + e − 1 ) n − 2 S 2 .
Since S 2 = 2 ( e + e − 1 ) , we get S n = 2 ( e + e − 1 ) n − 1 .
So ln S n = ln 2 + ( n − 1 ) ln ( e + e − 1 ) .
Plug in n = 2 0 1 4 to get ln ( S 2 0 1 4 ) ≈ 2 2 6 9 . 2 .