Is My Understanding of Higher-Order Functional Derivatives Correct?

In summary, the article explores the concept of higher-order functional derivatives, clarifying their definition and application in various fields such as physics and mathematics. It emphasizes the importance of understanding the distinction between functional derivatives and traditional derivatives, detailing the process of deriving higher-order functional derivatives and their implications. The discussion also addresses common misconceptions and provides examples to illustrate correct usage, ultimately affirming the significance of higher-order functional derivatives in analyzing complex systems.
  • #1
Hill
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Homework Statement
Consider the functional ##I[f]=\int_{-1}^1 f(x) \,dx##. Find the functional derivative ##\frac {\delta ^2 I[f^3]} {\delta f(x_0) \delta f(x_1)}##.
Relevant Equations
Definition of the functional derivative: ##\frac {\delta G[f]} {\delta f(x_0)}=\left. \frac d {d \epsilon} G[f(x)+\epsilon \delta(x-x_0)] \right|_{\epsilon=0}##
(To moderators: although the question is mathematical, I post it in the physics forum because the definition and the notation are those used by physicists and because it comes from a QFT textbook; please move it if I'm wrong.)

My issue with this question is that the textbook has neither defined nor discussed higher-order functional derivatives, so I proceed by assuming that

##\frac {\delta ^2 I[f^3]} {\delta f(x_0) \delta f(x_1)}=\left. \frac {d^2} {d \epsilon_0 d \epsilon_1} I[(f(x)+\epsilon_0 \delta(x-x_0)+\epsilon_1 \delta(x-x_1))^3] \right|_{\epsilon_0=\epsilon_1=0}##.

In this case,

##\left. \frac {d^2} {d \epsilon_0 d \epsilon_1} \int_{-1}^1(f(x)+\epsilon_0 \delta(x-x_0)+\epsilon_1 \delta(x-x_1))^3 \,dx \right|_{\epsilon_0=\epsilon_1=0}##

##=\left.\int_{-1}^16(f(x)+\epsilon_0 \delta(x-x_0)+\epsilon_1 \delta(x-x_1))\delta(x-x_0) \delta(x-x_1)\,dx \right|_{\epsilon_0=\epsilon_1=0}##

##=6\int_{-1}^1 f(x) \delta(x-x_0) \delta(x-x_1)\,dx##

##=\begin{cases} 6f(x_0) & \text{ if } -1\leq x_0=x_1 \leq 1\\0 & \text{ otherwise}\end{cases}##

Is this a correct answer?
 
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  • #2
Hill said:
Consider the functional ##I[f]=\int_{-1}^1 f(x) \,dx##. Find the functional derivative ##\frac {\delta ^2 I[f^3]} {\delta f(x_0) \delta f(x_1)}##.
This looks like part of Exercise 1.2 in the text Quantum Field Theory for the Gifted Amateur by Lancaster and Blundell. I'm not skilled in the topic of functional derivatives, so take my comments below with a grain of salt. We have experts here who can set us straight.

Hill said:
My issue with this question is that the textbook has neither defined nor discussed higher-order functional derivatives
Yes, unfortunately, it looks like the textbook expects you to intuit the meaning of a second-order functional derivative.

Hill said:
so I proceed by assuming that

##\frac {\delta ^2 I[f^3]} {\delta f(x_0) \delta f(x_1)}=\left. \frac {d^2} {d \epsilon_0 d \epsilon_1} I[(f(x)+\epsilon_0 \delta(x-x_0)+\epsilon_1 \delta(x-x_1))^3] \right|_{\epsilon_0=\epsilon_1=0}##.
With this assumption, you get the result

Hill said:
##6\int_{-1}^1 f(x) \delta(x-x_0) \delta(x-x_1)\,dx##

##=\begin{cases} 6f(x_0) & \text{ if } -1\leq x_0=x_1 \leq 1\\0 & \text{ otherwise}\end{cases}##
It seems to me that the result should contain a delta function:

##=\begin{cases} 6f(x_0)\delta(x_0-x_1) & \text {if both}\, x_0 \, \text{and} \, x_1 \, \in (-1, 1) \\ \\0 &\text{otherwise}\end{cases}##

What do you think?

When I first saw this exercise, I interpreted the meaning of a second-order functional derivative as a "derivative of a derivative":
$$\frac {\delta ^2 I[f^3]} {\delta f(x_0) \delta f(x_1)}=\frac{\delta}{\delta f(x_0)}\left[\frac{\delta I[f^3]}{\delta f(x_1)}\right]$$ To evaluate the first-order functional derivative ##\large \frac{\delta I[f^3]}{\delta f(x_1)}## you can use the epsilon definition given in the text, or you can use the result of the second example on page 13 where it is shown that $$\frac{\delta}{\delta f(x)}\int \left[ f(y)\right]^p \phi(y) dy= p\left[f(x)\right]^{p-1} \phi(x). $$ Then see if you can go on and take the next functional derivative: ##\large \frac{\delta}{\delta f(x_0)}##. For this, it might be helpful to note the last bulleted comment in Example 1.1 on page 12. With this approach, I get the same result ##6f(x_0)\delta(x_0-x_1)## as I get with your approach.
 
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  • #3
TSny said:
When I first saw this exercise, I interpreted the meaning of a second-order functional derivative as a "derivative of a derivative"
I think that both approaches lead to the same result, but I doubt the delta function gets outside the integral. ##\delta(x_0-x_1)=0## if ##x_0 \neq x_1##.
 
  • #4
TSny said:
It seems to me that the result should contain a delta function
Hmm. I've just got a comment in my other thread, and the article under the second link there shows an example of second order functional derivative that contains a delta function and obtained by your iterative approach:

1700451220727.png
 
  • #5
This link gives a nice way to define higher-order functional derivatives on page 2. As an example, Page 3 gives the first-order and second-order functional derivatives of the functional ##F[f] = \int_a^b [f(x)]^n dx \,##: $$\frac{\delta F[f]}{\delta f(x)} = n [f(x)]^{n-1}$$ $$\frac{\delta^2 F[f]}{\delta f(x) \delta f(x')} = n(n-1)[f(x)]^{n-2} \delta(x-x').$$ For the case ##n = 3##, we have essentially the same functional as yours : ##F[f] = \int_a^b [f(x)]^3 dx##. The second-order functional derivative is then ##\frac{\delta^2 F[f]}{\delta f(x) \delta f(x')} = 6f(x) \delta(x-x')##.
 
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  • #6
TSny said:
This link gives a nice way to define higher-order functional derivatives on page 2. As an example, Page 3 gives the first-order and second-order functional derivatives of the functional ##F[f] = \int_a^b [f(x)]^n dx \,##: $$\frac{\delta F[f]}{\delta f(x)} = n [f(x)]^{n-1}$$ $$\frac{\delta^2 F[f]}{\delta f(x) \delta f(x')} = n(n-1)[f(x)]^{n-2} \delta(x-x').$$ For the case ##n = 3##, we have essentially the same functional as yours : ##F[f] = \int_a^b [f(x)]^3 dx##. The second-order functional derivative is then ##\frac{\delta^2 F[f]}{\delta f(x) \delta f(x')} = 6f(x) \delta(x-x')##.
Thank you very much. This definition resolves my problem of having delta function outside the integral: as (C.6) shows, it is in fact inside the integral.
 
  • #7
Hill said:
Thank you very much. This definition resolves my problem of having delta function outside the integral: as (C.6) shows, it is in fact inside the integral.
1700511199802.png


In C.6 the expression ##\delta f(x)## does not necessarily represent a Dirac delta function. ##\delta f(x)## is just a general small variation in the function ##f(x)##.

As an example, consider our functional ##F[f] = \int_a^b [f(x)]^3dx##. Then we look at ##F[f+\delta f]##. $$\begin{align*} F[f+\delta f] & = \int_a^b [f(x)+\delta f(x)]^3dx = \int_a^b \Bigl\{ [f(x)]^3 + 3[f(x)]^2 \delta f(x) + 3 f(x) [\delta f(x)]^2 + [\delta f(x)]^3 \Bigr\} dx \\ & = F[f] + \int_a^b dx \, 3[f(x)]^2 \delta f(x) + \int_a^b dx \, 3 f(x) [\delta f(x)]^2 + \int_a^b dx \, [\delta f(x)]^3 \,\,\,\,\,\,\,\,\,\,\,\,\,\, (1) \end{align*}$$ We want to get this into the form (C.6). We can use a Dirac delta function to write the second integral in line (1) above as $$\begin{align*}\int_a^b dx \, 3 f(x) \delta f(x) \delta f(x) & = \int_a^b dx \int_a^b dx' \, 3 f(x) \delta(x'-x) \delta f(x) \delta f(x') \\ & = \frac{1}{2!} \int_a^b dx \int_a^b dx' \, 6 f(x) \delta(x'-x) \delta f(x) \delta f(x') \end{align*}$$ We don't need the last integral in (1) if we are only interested in the first-order and second-order functional derivatives. So, we have $$ F[f+\delta f] = F[f] + \int_a^b dx \, 3[f(x)]^2 \delta f(x) +\frac{1}{2!} \int_a^b dx \int_a^b dx' \, 6 f(x) \delta(x'-x) \delta f(x) \delta f(x') + \, ... $$Comparing this with (C.6) we can identity $$\Gamma_1(x) = 3[f(x)]^2 $$ and $$\Gamma_2(x, x') = 6 f(x) \delta(x'-x)$$ But ##\Gamma_1(x)## and ##\Gamma_2(x,x')## are, by definition, the first-order and second-order functional derivatives, respectively. See (C.7) and (C.8) in the link. Note that the second-order functional derivative includes a factor of the Dirac delta function ##\delta(x'-x)##.
 
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  • #8
TSny said:
In C.6 the expression δf(x) does not necessarily represent a Dirac delta function. δf(x) is just a general small variation in the function f(x).
Yes, I understand. When I said,
Hill said:
as (C.6) shows, it is in fact inside the integral.
I did not refer to ##\delta f(x)##, ##\delta f(x')##, etc. I've referred to ##\Gamma_1##, ##\Gamma_2##, etc. They are inside the integrals, and they are the functional derivatives, which include Dirac delta function that was my concern.
Thank you again.
 
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  • #9
Hill said:
I did not refer to ##\delta f(x)##, ##\delta f(x')##, etc. I've referred to ##\Gamma_1##, ##\Gamma_2##, etc. They are inside the integrals, and they are the functional derivatives, which include Dirac delta function that was my concern.
Thank you again.
I see. I misunderstood. Everything's good.
 
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FAQ: Is My Understanding of Higher-Order Functional Derivatives Correct?

What is a higher-order functional derivative?

A higher-order functional derivative is an extension of the concept of a functional derivative, which itself is a generalization of the derivative to functionals (functions of functions). A higher-order functional derivative involves taking the derivative of a functional multiple times with respect to the function on which it depends.

How is a higher-order functional derivative calculated?

To calculate a higher-order functional derivative, one typically applies the process of taking the first functional derivative repeatedly. This involves using the variational derivative and ensuring that each subsequent derivative is taken with respect to the same function. The process can become complex and often requires careful handling of boundary conditions and integral expressions.

What is the significance of higher-order functional derivatives in physics?

Higher-order functional derivatives are significant in physics, particularly in fields like quantum field theory and statistical mechanics. They are used to study the response of a system to perturbations, analyze stability, and derive equations of motion for fields. They also appear in the expansion of functionals in a Taylor series, providing insight into the behavior of physical systems under small changes.

Can you provide an example of a higher-order functional derivative?

Consider a functional \( F[\phi] \) that depends on a function \( \phi(x) \). The first-order functional derivative is given by \( \frac{\delta F[\phi]}{\delta \phi(x)} \). The second-order functional derivative would be \( \frac{\delta^2 F[\phi]}{\delta \phi(x) \delta \phi(y)} \). For instance, if \( F[\phi] = \int (\phi(x))^2 \, dx \), the first-order derivative is \( 2\phi(x) \), and the second-order derivative is \( 2\delta(x-y) \), where \( \delta(x-y) \) is the Dirac delta function.

What are some common applications of higher-order functional derivatives?

Common applications of higher-order functional derivatives include the analysis of critical phenomena in statistical mechanics, perturbation theory in quantum field theory, and the study of nonlinear dynamics in various physical systems. They are also used in the development of numerical methods for solving differential equations and in optimization problems where functionals need to be minimized or maximized.

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