Eigenvector relations between matrices whose Gramian Matrices are the same











up vote
0
down vote

favorite












I have two symmetric real matrices I am interested in, $A_{ntimes n}$ and $B_{mtimes m}$. If I do the following operations:



$$EAE^{T}=FBF^{T}$$



where $E$ and $F$ are of dimensions $ptimes n$ and $ptimes m$ respectively.



Supposed that the $A$ and $B$ can be eigen-decomposed as $A=Q_ALambda_A Q_A^{T}$, $B=Q_BLambda_B Q_B^{T}$, and thus the previous equation can be written as



$$EQ_ALambda_A Q_A^{T}E^{T}=FQ_BLambda_B Q_B^{T}F^{T}$$



where $Q$ and $Lambda$ are matrices containing eigenvectors and eigenvalues, respectively



or in the form as



$$(EQ_ALambda_A^{1/2}) (EQ_ALambda_A^{1/2} )^T=(FQ_BLambda_B^{1/2}) (FQ_BLambda_B^{1/2} )^T.$$



If I further let $K=EQ_ALambda_A^{1/2}$ and $L=FQ_BLambda_B^{1/2}$, then I obtain



$$KK^T=LL^T.$$



Here come my questions:




  1. What are the relations between $Q_A$ and $Q_B$?

  2. To simplify the first question, my strategy is to obtain $KK^{T}=LL^{T}$ as mentioned, and find the relations between $K$ and $L$ first. That is, what are the relations between matrices with the same Gramian matrix?
    I found the answer in wiki, which says, "...in finite-dimensions it determines the vectors up to isomorphism, i.e. any two sets of vectors with the same Gramian matrix must be related by a single unitary matrix." But I still can not understand what it exactly means.


Thus, can anyone help me with these two questions or give me any references to read?










share|cite|improve this question









New contributor




Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • The statement on the wiki is saying that if $A A^T=B B^T$ then there exists an orthogonal matrix $Q$ with $A=BQ$.
    – Ian
    yesterday















up vote
0
down vote

favorite












I have two symmetric real matrices I am interested in, $A_{ntimes n}$ and $B_{mtimes m}$. If I do the following operations:



$$EAE^{T}=FBF^{T}$$



where $E$ and $F$ are of dimensions $ptimes n$ and $ptimes m$ respectively.



Supposed that the $A$ and $B$ can be eigen-decomposed as $A=Q_ALambda_A Q_A^{T}$, $B=Q_BLambda_B Q_B^{T}$, and thus the previous equation can be written as



$$EQ_ALambda_A Q_A^{T}E^{T}=FQ_BLambda_B Q_B^{T}F^{T}$$



where $Q$ and $Lambda$ are matrices containing eigenvectors and eigenvalues, respectively



or in the form as



$$(EQ_ALambda_A^{1/2}) (EQ_ALambda_A^{1/2} )^T=(FQ_BLambda_B^{1/2}) (FQ_BLambda_B^{1/2} )^T.$$



If I further let $K=EQ_ALambda_A^{1/2}$ and $L=FQ_BLambda_B^{1/2}$, then I obtain



$$KK^T=LL^T.$$



Here come my questions:




  1. What are the relations between $Q_A$ and $Q_B$?

  2. To simplify the first question, my strategy is to obtain $KK^{T}=LL^{T}$ as mentioned, and find the relations between $K$ and $L$ first. That is, what are the relations between matrices with the same Gramian matrix?
    I found the answer in wiki, which says, "...in finite-dimensions it determines the vectors up to isomorphism, i.e. any two sets of vectors with the same Gramian matrix must be related by a single unitary matrix." But I still can not understand what it exactly means.


Thus, can anyone help me with these two questions or give me any references to read?










share|cite|improve this question









New contributor




Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • The statement on the wiki is saying that if $A A^T=B B^T$ then there exists an orthogonal matrix $Q$ with $A=BQ$.
    – Ian
    yesterday













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have two symmetric real matrices I am interested in, $A_{ntimes n}$ and $B_{mtimes m}$. If I do the following operations:



$$EAE^{T}=FBF^{T}$$



where $E$ and $F$ are of dimensions $ptimes n$ and $ptimes m$ respectively.



Supposed that the $A$ and $B$ can be eigen-decomposed as $A=Q_ALambda_A Q_A^{T}$, $B=Q_BLambda_B Q_B^{T}$, and thus the previous equation can be written as



$$EQ_ALambda_A Q_A^{T}E^{T}=FQ_BLambda_B Q_B^{T}F^{T}$$



where $Q$ and $Lambda$ are matrices containing eigenvectors and eigenvalues, respectively



or in the form as



$$(EQ_ALambda_A^{1/2}) (EQ_ALambda_A^{1/2} )^T=(FQ_BLambda_B^{1/2}) (FQ_BLambda_B^{1/2} )^T.$$



If I further let $K=EQ_ALambda_A^{1/2}$ and $L=FQ_BLambda_B^{1/2}$, then I obtain



$$KK^T=LL^T.$$



Here come my questions:




  1. What are the relations between $Q_A$ and $Q_B$?

  2. To simplify the first question, my strategy is to obtain $KK^{T}=LL^{T}$ as mentioned, and find the relations between $K$ and $L$ first. That is, what are the relations between matrices with the same Gramian matrix?
    I found the answer in wiki, which says, "...in finite-dimensions it determines the vectors up to isomorphism, i.e. any two sets of vectors with the same Gramian matrix must be related by a single unitary matrix." But I still can not understand what it exactly means.


Thus, can anyone help me with these two questions or give me any references to read?










share|cite|improve this question









New contributor




Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











I have two symmetric real matrices I am interested in, $A_{ntimes n}$ and $B_{mtimes m}$. If I do the following operations:



$$EAE^{T}=FBF^{T}$$



where $E$ and $F$ are of dimensions $ptimes n$ and $ptimes m$ respectively.



Supposed that the $A$ and $B$ can be eigen-decomposed as $A=Q_ALambda_A Q_A^{T}$, $B=Q_BLambda_B Q_B^{T}$, and thus the previous equation can be written as



$$EQ_ALambda_A Q_A^{T}E^{T}=FQ_BLambda_B Q_B^{T}F^{T}$$



where $Q$ and $Lambda$ are matrices containing eigenvectors and eigenvalues, respectively



or in the form as



$$(EQ_ALambda_A^{1/2}) (EQ_ALambda_A^{1/2} )^T=(FQ_BLambda_B^{1/2}) (FQ_BLambda_B^{1/2} )^T.$$



If I further let $K=EQ_ALambda_A^{1/2}$ and $L=FQ_BLambda_B^{1/2}$, then I obtain



$$KK^T=LL^T.$$



Here come my questions:




  1. What are the relations between $Q_A$ and $Q_B$?

  2. To simplify the first question, my strategy is to obtain $KK^{T}=LL^{T}$ as mentioned, and find the relations between $K$ and $L$ first. That is, what are the relations between matrices with the same Gramian matrix?
    I found the answer in wiki, which says, "...in finite-dimensions it determines the vectors up to isomorphism, i.e. any two sets of vectors with the same Gramian matrix must be related by a single unitary matrix." But I still can not understand what it exactly means.


Thus, can anyone help me with these two questions or give me any references to read?







linear-algebra matrix-decomposition matrix-analysis






share|cite|improve this question









New contributor




Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|cite|improve this question









New contributor




Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|cite|improve this question




share|cite|improve this question








edited 9 hours ago





















New contributor




Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked yesterday









Charlie

12




12




New contributor




Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Charlie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • The statement on the wiki is saying that if $A A^T=B B^T$ then there exists an orthogonal matrix $Q$ with $A=BQ$.
    – Ian
    yesterday


















  • The statement on the wiki is saying that if $A A^T=B B^T$ then there exists an orthogonal matrix $Q$ with $A=BQ$.
    – Ian
    yesterday
















The statement on the wiki is saying that if $A A^T=B B^T$ then there exists an orthogonal matrix $Q$ with $A=BQ$.
– Ian
yesterday




The statement on the wiki is saying that if $A A^T=B B^T$ then there exists an orthogonal matrix $Q$ with $A=BQ$.
– Ian
yesterday















active

oldest

votes











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',
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
});


}
});






Charlie is a new contributor. Be nice, and check out our Code of Conduct.










 

draft saved


draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2998705%2feigenvector-relations-between-matrices-whose-gramian-matrices-are-the-same%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown






























active

oldest

votes













active

oldest

votes









active

oldest

votes






active

oldest

votes








Charlie is a new contributor. Be nice, and check out our Code of Conduct.










 

draft saved


draft discarded


















Charlie is a new contributor. Be nice, and check out our Code of Conduct.













Charlie is a new contributor. Be nice, and check out our Code of Conduct.












Charlie is a new contributor. Be nice, and check out our Code of Conduct.















 


draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2998705%2feigenvector-relations-between-matrices-whose-gramian-matrices-are-the-same%23new-answer', 'question_page');
}
);

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







Popular posts from this blog

Quarter-circle Tiles

build a pushdown automaton that recognizes the reverse language of a given pushdown automaton?

Mont Emei