19. Taylor's Theorem

GUIDE: Elementary Digital Filter Theory. Taylor's Theorem

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Taylor's Theorem

Theorem. (Taylor) Every functional $J:\ in ${\ has the representation

\

for some $\ between $0$ and $1$, where $J^\ is the ${\ gradientvector evaluated at ${\, and $J^{\ is the ${\Hessian matrix of $J$ at ${\, i.e.,
$\$\$\(52)
$\$\$\(53)

Proof. See Goldstein [Goldstein 1967] p. 119. The Taylor infinite series is treated in Williamson and Crowell [Williamson et al. 1972]. The present form is typically more useful for computing bounds on the error incurred by neglecting higher order terms in the Taylor expansion.

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