Sequence operator and transform

AI Thread Summary
The discussion focuses on defining a shift polynomial sequence operator, S, which operates on a sequence by applying a sum of shift operations. The user seeks a general formula for the k-th composition of this operator, T^k(a)_n, and its inverse, T^{-k}(b)_n, specifically when S is any shift polynomial operator. There is a suggestion to clarify the definition of S(a)_n, as the current definition may lead to confusion regarding the sequence's components. Additionally, the importance of creating simple examples to refine the definitions of S and T is emphasized. The user is looking for assistance in resolving these issues.
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Define a shift polynomial sequence operator as
S=\sum_{i=0}^mc_i\mathbf E^i

where \mathbf E is the shift operator and c_i are some constants, variables, functions, etc. When S is applied to a sequence \{a_n\}, then S(a)_n=\sum_{i=0}^mc_i\mathbf E^ia_n.

If S is composed with itself k times with the sequence, then define
S^k(a)_n=\left[\sum_{i=0}^mc_i\mathbf E^i\right]^ka_n.

If the first elements from each new sequence for each k are taken, define this as S^n(a)_0=b_n=T(a)_n. This is a problem I'm having. I know what T^k(a)_n=b_n and T^{-k}(b)_n=a_n are when m=1, c_0=\pm k when c_1=1 and c_0=\pm 1 when c_1=-1.

I want to find a general formula for T^k(a)_n=b_n and it's inverse, T^{-k}(b)_n=a_n where S is any shift polynomial operator. Any help would be greatly appreciated.Thanks
bq
 
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The definition ##S(a)_n := S(a_n)## looks a bit strange, as I would have expected ##S(a)_n = (S(a))_n## because shifts from other positions could end up at position ##n##, whereas you defined it componentwise, i.e. ##S(a)_n## is itself a finite sequence.

Before you go ahead, this has to be clarified. Also a general rule for such equations is always to make some easy examples. E.g. start with ##E(n)=n+1## and ##a_n=\frac{1}{n}## and then write down a few more complicated examples. This should help you to define a precise definition for ##S(a)## as well as ##T##.
 
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