B How do we obtain a Taylor expansion of a non-linear functional?

naima
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Hi PF
I try to understand how we get get a Taylor expansion of a non linear functional.
I found this good paper
here F maps functions to scalars. F[f] is defined. It has not scalars as arguments. I agree with A13 and A18.
In another paper (in french) skip to page 9
the fisrt term is ##\int dx P_0 (x)## and all the terms have one more variable.
Do you understand the second point of view? we did not start with densities.
 
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Could you explain into some more detail what exactly is confusing you?

In my experience, "functional derivative" usually means what mathematicians call a Gâteaux derivative. Sometimes it refers to the stronger concept of Fréchet derivative. Using the latter notion it is possible to set up a calculus that looks very much identical to the ordinary multivariable calculus for functions defined on open subsets of ##\mathbb{R}^n##. For this it is necessary to specify the domain of the nonlinear functional (or operator) in question as a suitable open subset of a normed linear space. Once this is done, familiar theorems such as Taylor's hold almost verbatim.

Now, I know that physicists often do not like to talk about the function spaces that underpin their work, but in this case I believe it really does pay off to break that habit. Unfortunately I cannot read texts that lack rigor (your first link presents itself like that), so for a more rigorous but still gentle reference I would also like to mention "A Primer of Nonlinear Analysis" by Ambrosetti and Prodi.
 
naima said:
Hi PF
I try to understand how we get get a Taylor expansion of a non linear functional.
I found this good paper
here F maps functions to scalars. F[f] is defined. It has not scalars as arguments. I agree with A13 and A18.
In another paper (in french) skip to page 9
the fisrt term is ##\int dx P_0 (x)## and all the terms have one more variable.
Do you understand the second point of view? we did not start with densities.

I think you mean page 7 of the second paper.

In the second paper, they seem to be assuming that the functional F[f] can be written in the form:

F[f] = \int dx F(f(x))

This is a very confusing notation. If you look at the bottom of page 7, you'll see they define:

S[x(t)] = \int dt L(x, \dot{x})

which doesn't fit the pattern of F[f]. What I think they mean is something like this: They are assuming that the functional F[f] can be written in the form:

F[f] = \int dx \tilde{F}

Where the expression \tilde{F} inside the integral can involve f and its derivatives evaluated at the point x. Writing this as F(f(x)) gives the mistaken impression that it is an ordinary function F(y) evaluated at the point y=f(x).

But in any case, the two papers seem to agree about the functional derivative: Look at equation A.28 in section A.3 in the first paper, and compare it with equation 1.13 page 6 of the second paper. What's confusing about the second paper is that they seem to be making the distinction between

  1. \frac{\delta F[f(y)]}{\delta f(x)}, and
  2. \frac{\delta F[f]}{\delta f(x)}
They seem to be treating the second expression as the integral of the first expression:

\frac{\delta F[f]}{\delta f(x)} = \int dy \frac{\delta F[f(y)]}{\delta f(x)}

To me, this is an extremely confusing convention. And the author is not even consistent about it, because in equation 1.26 on page 8, they write \frac{\delta S[x(t)]}{\delta x(t)}, when it would seem like they should be writing \frac{\delta S[x]}{\delta x(t)} (with no argument t on the function x in the expression S[x]). It's very confusing, because it's unclear when they are using x(t) to mean a function, and when they are using it to mean a number, the value at point t.

I think it's bad notation, but that the two papers probably mean the same thing.
 
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stevendaryl said:
they seem to be assuming that the functional F[f] can be written in the form:

F[f] = \int dx F(f(x))

I found the "trick"
When you have number a and a normalized function G (such that ##\int dx G(x)= 1## you can write ## a = \int dx aG(x)##
Here the author expands the functional like in the first paper and then he takes any normalized function G and calls it F(f(x))
 
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