PSD vector inner product with positive vectors
up vote
2
down vote
favorite
Suppose $A in mathbb{R}^{n times n}$ be a PSD matrix. Let $x,y in mathbb{R}^n$ such that $x = [x_1,...,x_n]^T$ and $y = [y_1,...,y_n]^T$. We require that $x,y$ are element-wise positive, that is $x_i >0$ and $y_i > 0$ for all $i in {1,2,...,n}$. In that case can it be concluded that $x^T A y geq 0$ in general?
linear-algebra
add a comment |
up vote
2
down vote
favorite
Suppose $A in mathbb{R}^{n times n}$ be a PSD matrix. Let $x,y in mathbb{R}^n$ such that $x = [x_1,...,x_n]^T$ and $y = [y_1,...,y_n]^T$. We require that $x,y$ are element-wise positive, that is $x_i >0$ and $y_i > 0$ for all $i in {1,2,...,n}$. In that case can it be concluded that $x^T A y geq 0$ in general?
linear-algebra
add a comment |
up vote
2
down vote
favorite
up vote
2
down vote
favorite
Suppose $A in mathbb{R}^{n times n}$ be a PSD matrix. Let $x,y in mathbb{R}^n$ such that $x = [x_1,...,x_n]^T$ and $y = [y_1,...,y_n]^T$. We require that $x,y$ are element-wise positive, that is $x_i >0$ and $y_i > 0$ for all $i in {1,2,...,n}$. In that case can it be concluded that $x^T A y geq 0$ in general?
linear-algebra
Suppose $A in mathbb{R}^{n times n}$ be a PSD matrix. Let $x,y in mathbb{R}^n$ such that $x = [x_1,...,x_n]^T$ and $y = [y_1,...,y_n]^T$. We require that $x,y$ are element-wise positive, that is $x_i >0$ and $y_i > 0$ for all $i in {1,2,...,n}$. In that case can it be concluded that $x^T A y geq 0$ in general?
linear-algebra
linear-algebra
asked 2 hours ago
rajatsen91
33918
33918
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
up vote
2
down vote
accepted
No. Let
$$M=newcommandbmat{begin{pmatrix}}newcommandemat{end{pmatrix}}bmat 0 & 1 \ -1 & 0 emat,$$
then $$bmat x & y emat bmat 0 & 1 \ -1 & 0 emat bmat a \ bemat = bx-ay,$$
so in particular when $x=a$, $y=b$, we have that the quadratic form corresponding to $M$ is always zero on any vector, so $M$ is PSD.
However if $a=y=1$, $x=b=frac{1}{2}$, then the product of the vectors with the matrix will be $frac{1}{4}-1=frac{-3}{4}$.
The Idea:
The idea is that rotation by 90 degrees is PSD, since the dot product of a vector and its 90 degree rotation will always be zero.
However, if we choose the vector to be rotated by 90 degrees to already be closer to the $y$-axis, and the vector to compare it to to be closer to the $x$-axis, then the final product will be a dot product of vectors with an obtuse angle between them, which will be negative.
The same idea allows us to replace $M$ with a matrix which is e.g. rotation by 45 degrees to get a positive definite matrix which also doesn't have $v^TMu>0$ for positive vectors $v$ and $u$.
add a comment |
up vote
3
down vote
No. Take any large positive $n$ and consider
$$
pmatrix{1&n}pmatrix{5&-2\ -2&1}pmatrix{1\ 1}=3-n.
$$
add a comment |
up vote
2
down vote
I believe the matrix $A=pmatrix{1&-1\0&1}$ is PSD, however $pmatrix{1&0}^TApmatrix{0&1}=-1$. You can replace $0$ by small enough $epsilon>0$ and it will not change the fact that this results in a negative number.
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%2f3046861%2fpsd-vector-inner-product-with-positive-vectors%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
No. Let
$$M=newcommandbmat{begin{pmatrix}}newcommandemat{end{pmatrix}}bmat 0 & 1 \ -1 & 0 emat,$$
then $$bmat x & y emat bmat 0 & 1 \ -1 & 0 emat bmat a \ bemat = bx-ay,$$
so in particular when $x=a$, $y=b$, we have that the quadratic form corresponding to $M$ is always zero on any vector, so $M$ is PSD.
However if $a=y=1$, $x=b=frac{1}{2}$, then the product of the vectors with the matrix will be $frac{1}{4}-1=frac{-3}{4}$.
The Idea:
The idea is that rotation by 90 degrees is PSD, since the dot product of a vector and its 90 degree rotation will always be zero.
However, if we choose the vector to be rotated by 90 degrees to already be closer to the $y$-axis, and the vector to compare it to to be closer to the $x$-axis, then the final product will be a dot product of vectors with an obtuse angle between them, which will be negative.
The same idea allows us to replace $M$ with a matrix which is e.g. rotation by 45 degrees to get a positive definite matrix which also doesn't have $v^TMu>0$ for positive vectors $v$ and $u$.
add a comment |
up vote
2
down vote
accepted
No. Let
$$M=newcommandbmat{begin{pmatrix}}newcommandemat{end{pmatrix}}bmat 0 & 1 \ -1 & 0 emat,$$
then $$bmat x & y emat bmat 0 & 1 \ -1 & 0 emat bmat a \ bemat = bx-ay,$$
so in particular when $x=a$, $y=b$, we have that the quadratic form corresponding to $M$ is always zero on any vector, so $M$ is PSD.
However if $a=y=1$, $x=b=frac{1}{2}$, then the product of the vectors with the matrix will be $frac{1}{4}-1=frac{-3}{4}$.
The Idea:
The idea is that rotation by 90 degrees is PSD, since the dot product of a vector and its 90 degree rotation will always be zero.
However, if we choose the vector to be rotated by 90 degrees to already be closer to the $y$-axis, and the vector to compare it to to be closer to the $x$-axis, then the final product will be a dot product of vectors with an obtuse angle between them, which will be negative.
The same idea allows us to replace $M$ with a matrix which is e.g. rotation by 45 degrees to get a positive definite matrix which also doesn't have $v^TMu>0$ for positive vectors $v$ and $u$.
add a comment |
up vote
2
down vote
accepted
up vote
2
down vote
accepted
No. Let
$$M=newcommandbmat{begin{pmatrix}}newcommandemat{end{pmatrix}}bmat 0 & 1 \ -1 & 0 emat,$$
then $$bmat x & y emat bmat 0 & 1 \ -1 & 0 emat bmat a \ bemat = bx-ay,$$
so in particular when $x=a$, $y=b$, we have that the quadratic form corresponding to $M$ is always zero on any vector, so $M$ is PSD.
However if $a=y=1$, $x=b=frac{1}{2}$, then the product of the vectors with the matrix will be $frac{1}{4}-1=frac{-3}{4}$.
The Idea:
The idea is that rotation by 90 degrees is PSD, since the dot product of a vector and its 90 degree rotation will always be zero.
However, if we choose the vector to be rotated by 90 degrees to already be closer to the $y$-axis, and the vector to compare it to to be closer to the $x$-axis, then the final product will be a dot product of vectors with an obtuse angle between them, which will be negative.
The same idea allows us to replace $M$ with a matrix which is e.g. rotation by 45 degrees to get a positive definite matrix which also doesn't have $v^TMu>0$ for positive vectors $v$ and $u$.
No. Let
$$M=newcommandbmat{begin{pmatrix}}newcommandemat{end{pmatrix}}bmat 0 & 1 \ -1 & 0 emat,$$
then $$bmat x & y emat bmat 0 & 1 \ -1 & 0 emat bmat a \ bemat = bx-ay,$$
so in particular when $x=a$, $y=b$, we have that the quadratic form corresponding to $M$ is always zero on any vector, so $M$ is PSD.
However if $a=y=1$, $x=b=frac{1}{2}$, then the product of the vectors with the matrix will be $frac{1}{4}-1=frac{-3}{4}$.
The Idea:
The idea is that rotation by 90 degrees is PSD, since the dot product of a vector and its 90 degree rotation will always be zero.
However, if we choose the vector to be rotated by 90 degrees to already be closer to the $y$-axis, and the vector to compare it to to be closer to the $x$-axis, then the final product will be a dot product of vectors with an obtuse angle between them, which will be negative.
The same idea allows us to replace $M$ with a matrix which is e.g. rotation by 45 degrees to get a positive definite matrix which also doesn't have $v^TMu>0$ for positive vectors $v$ and $u$.
answered 2 hours ago
jgon
12k21840
12k21840
add a comment |
add a comment |
up vote
3
down vote
No. Take any large positive $n$ and consider
$$
pmatrix{1&n}pmatrix{5&-2\ -2&1}pmatrix{1\ 1}=3-n.
$$
add a comment |
up vote
3
down vote
No. Take any large positive $n$ and consider
$$
pmatrix{1&n}pmatrix{5&-2\ -2&1}pmatrix{1\ 1}=3-n.
$$
add a comment |
up vote
3
down vote
up vote
3
down vote
No. Take any large positive $n$ and consider
$$
pmatrix{1&n}pmatrix{5&-2\ -2&1}pmatrix{1\ 1}=3-n.
$$
No. Take any large positive $n$ and consider
$$
pmatrix{1&n}pmatrix{5&-2\ -2&1}pmatrix{1\ 1}=3-n.
$$
answered 2 hours ago
user1551
71.2k566125
71.2k566125
add a comment |
add a comment |
up vote
2
down vote
I believe the matrix $A=pmatrix{1&-1\0&1}$ is PSD, however $pmatrix{1&0}^TApmatrix{0&1}=-1$. You can replace $0$ by small enough $epsilon>0$ and it will not change the fact that this results in a negative number.
add a comment |
up vote
2
down vote
I believe the matrix $A=pmatrix{1&-1\0&1}$ is PSD, however $pmatrix{1&0}^TApmatrix{0&1}=-1$. You can replace $0$ by small enough $epsilon>0$ and it will not change the fact that this results in a negative number.
add a comment |
up vote
2
down vote
up vote
2
down vote
I believe the matrix $A=pmatrix{1&-1\0&1}$ is PSD, however $pmatrix{1&0}^TApmatrix{0&1}=-1$. You can replace $0$ by small enough $epsilon>0$ and it will not change the fact that this results in a negative number.
I believe the matrix $A=pmatrix{1&-1\0&1}$ is PSD, however $pmatrix{1&0}^TApmatrix{0&1}=-1$. You can replace $0$ by small enough $epsilon>0$ and it will not change the fact that this results in a negative number.
edited 2 hours ago
answered 2 hours ago
SmileyCraft
1,666111
1,666111
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.
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%2f3046861%2fpsd-vector-inner-product-with-positive-vectors%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