Part of CALC-02 — Methods of Differentiation

Higher-Order Derivatives and Leibniz's Theorem

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Leibniz's Theorem: The nth derivative of a product of two functions u and v: (uv)^(n) = sum(r=0 to n) C(n,r) * u^(n-r) * v^(r)

where u^(k) denotes the kth derivative of u, and C(n,r) = n!/(r!(n-r)!).

Expanding: (uv)^(n) = u^(n)v + nu^(n-1)*v' + C(n,2)*u^(n-2)v'' + ... + uv^(n)

This is analogous to the binomial expansion but with derivatives.

Common application: Find the nth derivative of x2x^2 * exe^x. Let u = exe^x (all derivatives are exe^x) and v = x2x^2 (v' = 2x, v'' = 2, v''' = 0...). (x2x^2exe^x)^(n) = C(n,0)exe^xx2x^2 + C(n,1)exe^x2x + C(n,2)exe^x*2 = exe^x * [x2x^2 + 2nx + n(n-1)]

Useful nth derivatives:

  • (e^(ax))^(n) = ana^n * e^(ax)
  • (xmx^m)^(n) = m!/(m-n)! * x^(m-n) for n <= m; = 0 for n > m
  • (sin(ax+b))^(n) = ana^n * sin(ax + b + n*pi/2)
  • (cos(ax+b))^(n) = ana^n * cos(ax + b + n*pi/2)
  • (ln x)^(n) = (-1)^(n-1) * (n-1)! / xnx^n

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