LaTeX Generalized Product Rule D^(n-m) (x^2 -1)^n (LaTeX inside)

AI Thread Summary
The discussion revolves around proving the generalized product rule for the expression D^(n-m)(x^2 - 1)^n. The hint suggests using the factorization of (x^2 - 1) into (x - 1)^n and (x + 1)^n, applying the Leibniz rule for differentiation. The user attempts to expand the differentiation using the Leibniz rule but struggles with simplifying the summation and imposing conditions on the summing index. There is a request for guidance on how to proceed with the proof and clarification on the differentiation process. The conversation highlights the complexities involved in higher-order differentiation and the application of combinatorial techniques.
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Homework Statement



Show: ##D^{(n-m)} (x^2-1)^n = \frac{(n-m)!}{(n+m)!} (x^2-1)^m D^{(n+m)} (x^2-1)^n##

Hint: ##D^{(n-m)} (x^2-1)^n = D^{(n-m)} [(x-1)^n (x+1)^n]##

Homework Equations


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Leibniz Rule for Differentiation:

$$D^k (uv) = \sum_{j=0}^k \binom{k}{j} D^j (u) D^{(k-j)} (v)$$

The Attempt at a Solution


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$$D^{(n-m)}[(x-1)^n (x+1)^n] = \sum_{j=0}^{n-m} \binom{n-m}{j} D^j (x-1)^n D^{(n-m-j)} (x+1)^n$$

$$D^{(n-m)}[(x-1)^n (x+1)^n] = \sum_{j=0}^{n-m} \frac{(n-m)!}{j! (n-m-j)!} D^j (x-1)^n D^{(n-m-j)} (x+1)^n$$

I don't know where to go from here. Somehow we're supposed to get rid of the sum by imposing conditions on the summing index such as ##j \leq n## but I'm still not getting it.

Any help would be appreciated. Thanks in advance.
 
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What will you get, if you differentiate ##x^n\,j-##times? Does it differ from ##D^j(x+c)^n\,##?
 
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