Why taking integral of both sides of matrix inequality is allowed?
$begingroup$
How to show if $nabla^2 f(x) succeq alpha I$, then the function is $alpha$-strongly convex?
In my optimization notes I have
$$nabla^2 f(x) succeq alpha I rightarrow alphatext{-strongly convex} ,,,,,,forall x$$
where $x in mathbb{R}^n$ and $Asucceq B$ means $A-B$ is positive semi-definite.
For the proof we use mean value theorem
$$
nabla f(y)-nabla f(y) = int_0^1 nabla^2 f(x+t(y-x))(y-x)dt
$$
where $x, y in mathbb{R}^n$ and $0 leq t leq 1$.
$$
langle nabla f(y)-nabla f(y) ,y-x rangle= langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle
$$
Since
$$nabla^2 f(x+t(y-x)) succeq alpha I tag{1}$$
and the fact that $langle Ad,d rangle geq c|d|^2 leftrightarrow A succeq cI tag{2}$
$$
langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle geq alpha |y-x|^2 tag{3}
$$
I do not understand why how we can use $(1)$ to get $(2)$? Because I do not know why we can use $(1)$ and write
$$
A=int_0^1 nabla^2 f(x+t(y-x))dt succeq int_0^1 alpha I dt= alpha I
$$
and then use $(2)$.
Is it possible to take integral from any matrix inequality?
integration matrices positive-semidefinite
$endgroup$
add a comment |
$begingroup$
How to show if $nabla^2 f(x) succeq alpha I$, then the function is $alpha$-strongly convex?
In my optimization notes I have
$$nabla^2 f(x) succeq alpha I rightarrow alphatext{-strongly convex} ,,,,,,forall x$$
where $x in mathbb{R}^n$ and $Asucceq B$ means $A-B$ is positive semi-definite.
For the proof we use mean value theorem
$$
nabla f(y)-nabla f(y) = int_0^1 nabla^2 f(x+t(y-x))(y-x)dt
$$
where $x, y in mathbb{R}^n$ and $0 leq t leq 1$.
$$
langle nabla f(y)-nabla f(y) ,y-x rangle= langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle
$$
Since
$$nabla^2 f(x+t(y-x)) succeq alpha I tag{1}$$
and the fact that $langle Ad,d rangle geq c|d|^2 leftrightarrow A succeq cI tag{2}$
$$
langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle geq alpha |y-x|^2 tag{3}
$$
I do not understand why how we can use $(1)$ to get $(2)$? Because I do not know why we can use $(1)$ and write
$$
A=int_0^1 nabla^2 f(x+t(y-x))dt succeq int_0^1 alpha I dt= alpha I
$$
and then use $(2)$.
Is it possible to take integral from any matrix inequality?
integration matrices positive-semidefinite
$endgroup$
add a comment |
$begingroup$
How to show if $nabla^2 f(x) succeq alpha I$, then the function is $alpha$-strongly convex?
In my optimization notes I have
$$nabla^2 f(x) succeq alpha I rightarrow alphatext{-strongly convex} ,,,,,,forall x$$
where $x in mathbb{R}^n$ and $Asucceq B$ means $A-B$ is positive semi-definite.
For the proof we use mean value theorem
$$
nabla f(y)-nabla f(y) = int_0^1 nabla^2 f(x+t(y-x))(y-x)dt
$$
where $x, y in mathbb{R}^n$ and $0 leq t leq 1$.
$$
langle nabla f(y)-nabla f(y) ,y-x rangle= langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle
$$
Since
$$nabla^2 f(x+t(y-x)) succeq alpha I tag{1}$$
and the fact that $langle Ad,d rangle geq c|d|^2 leftrightarrow A succeq cI tag{2}$
$$
langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle geq alpha |y-x|^2 tag{3}
$$
I do not understand why how we can use $(1)$ to get $(2)$? Because I do not know why we can use $(1)$ and write
$$
A=int_0^1 nabla^2 f(x+t(y-x))dt succeq int_0^1 alpha I dt= alpha I
$$
and then use $(2)$.
Is it possible to take integral from any matrix inequality?
integration matrices positive-semidefinite
$endgroup$
How to show if $nabla^2 f(x) succeq alpha I$, then the function is $alpha$-strongly convex?
In my optimization notes I have
$$nabla^2 f(x) succeq alpha I rightarrow alphatext{-strongly convex} ,,,,,,forall x$$
where $x in mathbb{R}^n$ and $Asucceq B$ means $A-B$ is positive semi-definite.
For the proof we use mean value theorem
$$
nabla f(y)-nabla f(y) = int_0^1 nabla^2 f(x+t(y-x))(y-x)dt
$$
where $x, y in mathbb{R}^n$ and $0 leq t leq 1$.
$$
langle nabla f(y)-nabla f(y) ,y-x rangle= langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle
$$
Since
$$nabla^2 f(x+t(y-x)) succeq alpha I tag{1}$$
and the fact that $langle Ad,d rangle geq c|d|^2 leftrightarrow A succeq cI tag{2}$
$$
langle int_0^1 nabla^2 f(x+t(y-x))(y-x)dt,y-x rangle geq alpha |y-x|^2 tag{3}
$$
I do not understand why how we can use $(1)$ to get $(2)$? Because I do not know why we can use $(1)$ and write
$$
A=int_0^1 nabla^2 f(x+t(y-x))dt succeq int_0^1 alpha I dt= alpha I
$$
and then use $(2)$.
Is it possible to take integral from any matrix inequality?
integration matrices positive-semidefinite
integration matrices positive-semidefinite
asked Jan 17 at 19:24
SaeedSaeed
1,149310
1,149310
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
In your statement of the "mean value theorem" and in other parts of your post, you are taking the integral of a vector or a matrix, which does not make sense.
I think it would be better to state the integral equality as
$$langle nabla f(y) - nabla f(x), y-x rangle
= int_0^1 langle nabla^2 f(x + t(y-x)) (y-x), y-x rangle , dt.$$
(This is simply the fundamental theorem of calculus $g(1) - g(0) = int_0^1 g'(t) , dt$ applied to $g(t) := langle nabla f(x + t(y-x)), y-x rangle$.)
From here, you can immediately use
$nabla^2 f(x + t(y-x)) (y-x), y-x rangle ge alpha |y-x|^2$ from (2), as desired.
$endgroup$
add a comment |
Your Answer
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%2f3077404%2fwhy-taking-integral-of-both-sides-of-matrix-inequality-is-allowed%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
$begingroup$
In your statement of the "mean value theorem" and in other parts of your post, you are taking the integral of a vector or a matrix, which does not make sense.
I think it would be better to state the integral equality as
$$langle nabla f(y) - nabla f(x), y-x rangle
= int_0^1 langle nabla^2 f(x + t(y-x)) (y-x), y-x rangle , dt.$$
(This is simply the fundamental theorem of calculus $g(1) - g(0) = int_0^1 g'(t) , dt$ applied to $g(t) := langle nabla f(x + t(y-x)), y-x rangle$.)
From here, you can immediately use
$nabla^2 f(x + t(y-x)) (y-x), y-x rangle ge alpha |y-x|^2$ from (2), as desired.
$endgroup$
add a comment |
$begingroup$
In your statement of the "mean value theorem" and in other parts of your post, you are taking the integral of a vector or a matrix, which does not make sense.
I think it would be better to state the integral equality as
$$langle nabla f(y) - nabla f(x), y-x rangle
= int_0^1 langle nabla^2 f(x + t(y-x)) (y-x), y-x rangle , dt.$$
(This is simply the fundamental theorem of calculus $g(1) - g(0) = int_0^1 g'(t) , dt$ applied to $g(t) := langle nabla f(x + t(y-x)), y-x rangle$.)
From here, you can immediately use
$nabla^2 f(x + t(y-x)) (y-x), y-x rangle ge alpha |y-x|^2$ from (2), as desired.
$endgroup$
add a comment |
$begingroup$
In your statement of the "mean value theorem" and in other parts of your post, you are taking the integral of a vector or a matrix, which does not make sense.
I think it would be better to state the integral equality as
$$langle nabla f(y) - nabla f(x), y-x rangle
= int_0^1 langle nabla^2 f(x + t(y-x)) (y-x), y-x rangle , dt.$$
(This is simply the fundamental theorem of calculus $g(1) - g(0) = int_0^1 g'(t) , dt$ applied to $g(t) := langle nabla f(x + t(y-x)), y-x rangle$.)
From here, you can immediately use
$nabla^2 f(x + t(y-x)) (y-x), y-x rangle ge alpha |y-x|^2$ from (2), as desired.
$endgroup$
In your statement of the "mean value theorem" and in other parts of your post, you are taking the integral of a vector or a matrix, which does not make sense.
I think it would be better to state the integral equality as
$$langle nabla f(y) - nabla f(x), y-x rangle
= int_0^1 langle nabla^2 f(x + t(y-x)) (y-x), y-x rangle , dt.$$
(This is simply the fundamental theorem of calculus $g(1) - g(0) = int_0^1 g'(t) , dt$ applied to $g(t) := langle nabla f(x + t(y-x)), y-x rangle$.)
From here, you can immediately use
$nabla^2 f(x + t(y-x)) (y-x), y-x rangle ge alpha |y-x|^2$ from (2), as desired.
answered Jan 17 at 19:39
angryavianangryavian
42.6k23481
42.6k23481
add a comment |
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.
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%2f3077404%2fwhy-taking-integral-of-both-sides-of-matrix-inequality-is-allowed%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