Explore BrainMass

# Extrapolation formula for numerical derivative

Not what you're looking for? Search our solutions OR ask your own Custom question.

This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

Derive the extrapolation formula and show its error converges to zero more rapidly than does the error of (*).

Please see the attachment for the formula.

https://brainmass.com/math/derivatives/extrapolation-formula-numerical-derivative-514210

## SOLUTION This solution is FREE courtesy of BrainMass!

If f(x) is twice differentiable, we have:

f(x+h) = f(x) + h f'(x) + h^2/2 f''(x) + o(h^2) (1)

where the "little o" error term o(h^2) denotes a function that goes to zero for h to zero, faster than h^2: For every epsilon > 0 there exists a delta>0 such that:

|o(h^2)| < epsilon h^2 when |h| < delta.

If f(x) is 3 times differentiable then we know that o(h^2) will be proportional to h^3, but we don't need to make that asssumption here. From (1) it follows that:

D_h f(x) = [f(x+h) - f(x)]/h = f'(x) + h/2 f''(x) + o(h) (2)

where o(h) is, analogous to o(h^2), a term that goes to zero faster than any term proportional to h. Due to the presence of the term h/2 f''(x), the error in D_hf(x) as an estimate of the derivative is thus of order h (this is denoted in the big O notation as O(h), which means a term that goes to zero if h goes to zero as a constant times h). We can get rid of the contribution of h/2 f''(x) in this error as follows. If we make h twice as large, this term becomes twice as large, so if we take 2 times D_h minus D_{2h}, this term cancels:

2 D_h f(x) - D_{2h}f(x) = f'(x) + o(h)

We see that the error has been reduced to o(h), i.e. a term that goes to zero faster than anything that is proportional to h.

This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!