Find the derivative of a function

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SUMMARY

The derivative of the functional V, defined as V=exp [ ∫0Ts(t)dt ], is calculated as dV/ds(k) = V, where the integral of ds(t)/ds(k) equals 0 for all t except t=k, where it equals 1. This indicates that the functional derivative measures how the functional V changes with respect to variations in the function s at a specific point k. The practical meaning of this derivative relates to understanding the sensitivity of the functional V to changes in the function s at that point.

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Homework Statement


If V=exp [ [itex]\int[/itex][itex]^{T}_{0}[/itex]s(t)dt ]

Homework Equations


What is dV/ds(k), where 0<k<T
What does this derivative even mean??

The Attempt at a Solution


write
V=exp(Y)
dV/ds(k) = dV/dY . dY/ds(k)
=V.[itex]\int[/itex][itex]^{T}_{0}[/itex]ds(t)/ds(k)dt
=V because ds(t)/ds(k) = 0 for all t except t=k where it is 1.

I just want to check that this derivative is correct; and more importantly what it means practically. Thank you very much for the help!

Regards,
 
Last edited:
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Hello all,
I've been thinking about the concept of the functional derivative all night/day but I still can not see the practical meaning of such a measure. Scalar derivative - no problem. It is simply the rate of change wrt the scalar variable. But when you have a function argument, and you take the rate of change with regards to just a point on that function argument, then what are you measuring exactly? Any help much appreciated! Thanks!
 
A way to look at it:
s, f, g ##\in## M the function space; ##V:M\to \mathbb R## a functional.

- ##< f, g> = \int f(x)g(x)\,dx## is a bilinear, symetric and "almost" non-degenerate form. It associate a fuction with a form: $$f\in M \mapsto <f,\cdot> \,or\,<\cdot,f>\in M^*$$

- The Dirac delta function ##\delta (x) = \delta_0## or ##\delta(x-y) = \delta_y## ##\in## M, y fixed, is the function that correspond to the form $$<\delta_y,\cdot>\in M^*\quad s.t. \quad <\delta_y,f> = f(y)\in \mathbb R$$

- The functional derivative of a functional at the point(=function) ##g\in M## is the function ##\frac{\delta V}{\delta g}## or ##\frac{\delta V}{\delta g(x)}## (as the notations f or f(x)) such that: $$<\frac{\delta V}{\delta g},\cdot>\in M^* = \mathbf D_g V(\cdot)$$ ##D_g V(\cdot)## the derivative of V at g. It's a linear map sending a vector h at g (h=function again) to the directional derivative of V at g in the direction h:$$D_g V(\cdot): h\mapsto D_g V(h) = \lim_{\epsilon \rightarrow 0}{\frac{V(g+\epsilon h)-V(g)}{\epsilon}}\in \mathbb R$$

Then ##<\delta_y,\frac{\delta V}{\delta g}> = \frac{\delta V}{\delta g(y)}## the value of the function ##\frac{\delta V}{\delta g(x)}## at x=y.
 

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