Taking a functional derivative
I am following the derivation here. I reproduce a smaller part of it here:
Consider the functional
$J(p) = eta_0int_{-infty}^{infty}p(x)dx$
for some probability distribution $p(x)$. It is then stated that
$frac{delta J}{delta p} = eta_0$.
I'm not sure what exactly happened in the step before. What I think is going on is the following analogue of discrete case. If
$J = eta_0sum_i p_i(x)$, I can see that
$frac{delta J}{delta p_j} = eta_0sum_i frac{partial p_i(x)}{partial p_j(x)} = eta_0sum_i delta_{ij} = eta_0$.
Is this what is happening in the continuous case as well? How is the operation $frac{delta J}{delta p}$ defined exactly?
real-analysis calculus probability
add a comment |
I am following the derivation here. I reproduce a smaller part of it here:
Consider the functional
$J(p) = eta_0int_{-infty}^{infty}p(x)dx$
for some probability distribution $p(x)$. It is then stated that
$frac{delta J}{delta p} = eta_0$.
I'm not sure what exactly happened in the step before. What I think is going on is the following analogue of discrete case. If
$J = eta_0sum_i p_i(x)$, I can see that
$frac{delta J}{delta p_j} = eta_0sum_i frac{partial p_i(x)}{partial p_j(x)} = eta_0sum_i delta_{ij} = eta_0$.
Is this what is happening in the continuous case as well? How is the operation $frac{delta J}{delta p}$ defined exactly?
real-analysis calculus probability
add a comment |
I am following the derivation here. I reproduce a smaller part of it here:
Consider the functional
$J(p) = eta_0int_{-infty}^{infty}p(x)dx$
for some probability distribution $p(x)$. It is then stated that
$frac{delta J}{delta p} = eta_0$.
I'm not sure what exactly happened in the step before. What I think is going on is the following analogue of discrete case. If
$J = eta_0sum_i p_i(x)$, I can see that
$frac{delta J}{delta p_j} = eta_0sum_i frac{partial p_i(x)}{partial p_j(x)} = eta_0sum_i delta_{ij} = eta_0$.
Is this what is happening in the continuous case as well? How is the operation $frac{delta J}{delta p}$ defined exactly?
real-analysis calculus probability
I am following the derivation here. I reproduce a smaller part of it here:
Consider the functional
$J(p) = eta_0int_{-infty}^{infty}p(x)dx$
for some probability distribution $p(x)$. It is then stated that
$frac{delta J}{delta p} = eta_0$.
I'm not sure what exactly happened in the step before. What I think is going on is the following analogue of discrete case. If
$J = eta_0sum_i p_i(x)$, I can see that
$frac{delta J}{delta p_j} = eta_0sum_i frac{partial p_i(x)}{partial p_j(x)} = eta_0sum_i delta_{ij} = eta_0$.
Is this what is happening in the continuous case as well? How is the operation $frac{delta J}{delta p}$ defined exactly?
real-analysis calculus probability
real-analysis calculus probability
edited 17 hours ago
Scientifica
6,37641335
6,37641335
asked 17 hours ago
user1936752
5201513
5201513
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Given partial derivatives $frac{partial p_i}{partial p_j}=delta_i^j$, the discrete labels $i,,j$ index variables $p_i$. With functional derivatvies we have continuous labels, viz. $frac{delta p(x)}{delta p(y)}=delta(x-y)$ (note the right-hand side is now a Dirac delta, not a Kronecker delta). So if $eta$ has at most one argument, we can write $frac{delta J}{delta p(y)}=eta_0(y)int_{Bbb R}delta(x-y)dx=eta_0(y)$.
Thank you. Just to clarify, the meaning of $frac{delta J}{delta p}$ on Wikipedia is what exactly? Is it $frac{delta J}{delta p(y)}$ for specific $y$?
– user1936752
13 hours ago
1
@user1936752 The meaning follows from the definition I've given, together with $frac{delta}{delta p}$ commuting with integration operators, obeying the product & chain rules etc. The $y$-dependence is needed in general, because e.g. $frac{delta}{delta p(y)}int_{Bbb R}p^2(x)dx=2p(y)$ (proof is an exercise). However, you shouldn't think of it as a specific $y$; differentiating the integral with respect to a function gives a function.
– J.G.
13 hours ago
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3061645%2ftaking-a-functional-derivative%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Given partial derivatives $frac{partial p_i}{partial p_j}=delta_i^j$, the discrete labels $i,,j$ index variables $p_i$. With functional derivatvies we have continuous labels, viz. $frac{delta p(x)}{delta p(y)}=delta(x-y)$ (note the right-hand side is now a Dirac delta, not a Kronecker delta). So if $eta$ has at most one argument, we can write $frac{delta J}{delta p(y)}=eta_0(y)int_{Bbb R}delta(x-y)dx=eta_0(y)$.
Thank you. Just to clarify, the meaning of $frac{delta J}{delta p}$ on Wikipedia is what exactly? Is it $frac{delta J}{delta p(y)}$ for specific $y$?
– user1936752
13 hours ago
1
@user1936752 The meaning follows from the definition I've given, together with $frac{delta}{delta p}$ commuting with integration operators, obeying the product & chain rules etc. The $y$-dependence is needed in general, because e.g. $frac{delta}{delta p(y)}int_{Bbb R}p^2(x)dx=2p(y)$ (proof is an exercise). However, you shouldn't think of it as a specific $y$; differentiating the integral with respect to a function gives a function.
– J.G.
13 hours ago
add a comment |
Given partial derivatives $frac{partial p_i}{partial p_j}=delta_i^j$, the discrete labels $i,,j$ index variables $p_i$. With functional derivatvies we have continuous labels, viz. $frac{delta p(x)}{delta p(y)}=delta(x-y)$ (note the right-hand side is now a Dirac delta, not a Kronecker delta). So if $eta$ has at most one argument, we can write $frac{delta J}{delta p(y)}=eta_0(y)int_{Bbb R}delta(x-y)dx=eta_0(y)$.
Thank you. Just to clarify, the meaning of $frac{delta J}{delta p}$ on Wikipedia is what exactly? Is it $frac{delta J}{delta p(y)}$ for specific $y$?
– user1936752
13 hours ago
1
@user1936752 The meaning follows from the definition I've given, together with $frac{delta}{delta p}$ commuting with integration operators, obeying the product & chain rules etc. The $y$-dependence is needed in general, because e.g. $frac{delta}{delta p(y)}int_{Bbb R}p^2(x)dx=2p(y)$ (proof is an exercise). However, you shouldn't think of it as a specific $y$; differentiating the integral with respect to a function gives a function.
– J.G.
13 hours ago
add a comment |
Given partial derivatives $frac{partial p_i}{partial p_j}=delta_i^j$, the discrete labels $i,,j$ index variables $p_i$. With functional derivatvies we have continuous labels, viz. $frac{delta p(x)}{delta p(y)}=delta(x-y)$ (note the right-hand side is now a Dirac delta, not a Kronecker delta). So if $eta$ has at most one argument, we can write $frac{delta J}{delta p(y)}=eta_0(y)int_{Bbb R}delta(x-y)dx=eta_0(y)$.
Given partial derivatives $frac{partial p_i}{partial p_j}=delta_i^j$, the discrete labels $i,,j$ index variables $p_i$. With functional derivatvies we have continuous labels, viz. $frac{delta p(x)}{delta p(y)}=delta(x-y)$ (note the right-hand side is now a Dirac delta, not a Kronecker delta). So if $eta$ has at most one argument, we can write $frac{delta J}{delta p(y)}=eta_0(y)int_{Bbb R}delta(x-y)dx=eta_0(y)$.
answered 17 hours ago
J.G.
23.1k22137
23.1k22137
Thank you. Just to clarify, the meaning of $frac{delta J}{delta p}$ on Wikipedia is what exactly? Is it $frac{delta J}{delta p(y)}$ for specific $y$?
– user1936752
13 hours ago
1
@user1936752 The meaning follows from the definition I've given, together with $frac{delta}{delta p}$ commuting with integration operators, obeying the product & chain rules etc. The $y$-dependence is needed in general, because e.g. $frac{delta}{delta p(y)}int_{Bbb R}p^2(x)dx=2p(y)$ (proof is an exercise). However, you shouldn't think of it as a specific $y$; differentiating the integral with respect to a function gives a function.
– J.G.
13 hours ago
add a comment |
Thank you. Just to clarify, the meaning of $frac{delta J}{delta p}$ on Wikipedia is what exactly? Is it $frac{delta J}{delta p(y)}$ for specific $y$?
– user1936752
13 hours ago
1
@user1936752 The meaning follows from the definition I've given, together with $frac{delta}{delta p}$ commuting with integration operators, obeying the product & chain rules etc. The $y$-dependence is needed in general, because e.g. $frac{delta}{delta p(y)}int_{Bbb R}p^2(x)dx=2p(y)$ (proof is an exercise). However, you shouldn't think of it as a specific $y$; differentiating the integral with respect to a function gives a function.
– J.G.
13 hours ago
Thank you. Just to clarify, the meaning of $frac{delta J}{delta p}$ on Wikipedia is what exactly? Is it $frac{delta J}{delta p(y)}$ for specific $y$?
– user1936752
13 hours ago
Thank you. Just to clarify, the meaning of $frac{delta J}{delta p}$ on Wikipedia is what exactly? Is it $frac{delta J}{delta p(y)}$ for specific $y$?
– user1936752
13 hours ago
1
1
@user1936752 The meaning follows from the definition I've given, together with $frac{delta}{delta p}$ commuting with integration operators, obeying the product & chain rules etc. The $y$-dependence is needed in general, because e.g. $frac{delta}{delta p(y)}int_{Bbb R}p^2(x)dx=2p(y)$ (proof is an exercise). However, you shouldn't think of it as a specific $y$; differentiating the integral with respect to a function gives a function.
– J.G.
13 hours ago
@user1936752 The meaning follows from the definition I've given, together with $frac{delta}{delta p}$ commuting with integration operators, obeying the product & chain rules etc. The $y$-dependence is needed in general, because e.g. $frac{delta}{delta p(y)}int_{Bbb R}p^2(x)dx=2p(y)$ (proof is an exercise). However, you shouldn't think of it as a specific $y$; differentiating the integral with respect to a function gives a function.
– J.G.
13 hours ago
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3061645%2ftaking-a-functional-derivative%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown