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Fractional Derivatives
Leibniz wrote, "Thus it follows that d1/2x will be equal to
x (dx:x)(1/2), an apparent paradox, from which one day
useful consequences will be drawn." G.W. Leibniz, Letter from
Hanover, Germany, September 30, 1695 to G.A. L'Hospital.
The fractional derivative can be computed in a number of ways, one
such way is in the frequency domain. Denoting the Fourier transform
of the function f(x) as F(w), it is straight-forward to
show that the Fourier transform of the nth-order
derivative, f(n)(x), is (jw)nF(w),
for any integer order n. Of course, there is no reason why
n must be an integer, n can be any real (or complex)
number - hence the fractional derivative. If n<0, then we
have fractional integration.
Illustrated below are the zeroth through fourth-order normalized
derivatives of a Gaussian in steps of 0.5. The last panel illustrates
a continuum of derivatives from first to fourth (top to bottom)
"stacked" on top of one another.
Matlab routine for computing fractional
derivatives.
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