Identifying the First Eigenvector
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If I'm using a programming language which uses a covariance matrix to find the eigenvectors and eigenvalues, how do you know which is the first eigenvector of the covariance matrix?
For example, suppose the following eigenvalues are returned,
0.1017 0 0 0
0 4.1704 0 0
0 0 7.2938 0
0 0 0 23.8721
and suppose the corresponding eigenvectors are
.9032 .28394 .3242 -.453
.343 -.23423 -.234234 .2342
-.3423 .76940 .2938 .7584
.76859 .9873 .3242 -.8721
I thought I read somewhere that it's convention to make the first eigenvalue be the one with the largest value. Is this correct? If so, then because the fourth column has the largest corresponding eigenvalue, then the fourth column would actually be the first egienvector? Or do you just take the first column to be the first eigenvector?
eigenvalues-eigenvectors
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up vote
1
down vote
favorite
If I'm using a programming language which uses a covariance matrix to find the eigenvectors and eigenvalues, how do you know which is the first eigenvector of the covariance matrix?
For example, suppose the following eigenvalues are returned,
0.1017 0 0 0
0 4.1704 0 0
0 0 7.2938 0
0 0 0 23.8721
and suppose the corresponding eigenvectors are
.9032 .28394 .3242 -.453
.343 -.23423 -.234234 .2342
-.3423 .76940 .2938 .7584
.76859 .9873 .3242 -.8721
I thought I read somewhere that it's convention to make the first eigenvalue be the one with the largest value. Is this correct? If so, then because the fourth column has the largest corresponding eigenvalue, then the fourth column would actually be the first egienvector? Or do you just take the first column to be the first eigenvector?
eigenvalues-eigenvectors
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
If I'm using a programming language which uses a covariance matrix to find the eigenvectors and eigenvalues, how do you know which is the first eigenvector of the covariance matrix?
For example, suppose the following eigenvalues are returned,
0.1017 0 0 0
0 4.1704 0 0
0 0 7.2938 0
0 0 0 23.8721
and suppose the corresponding eigenvectors are
.9032 .28394 .3242 -.453
.343 -.23423 -.234234 .2342
-.3423 .76940 .2938 .7584
.76859 .9873 .3242 -.8721
I thought I read somewhere that it's convention to make the first eigenvalue be the one with the largest value. Is this correct? If so, then because the fourth column has the largest corresponding eigenvalue, then the fourth column would actually be the first egienvector? Or do you just take the first column to be the first eigenvector?
eigenvalues-eigenvectors
If I'm using a programming language which uses a covariance matrix to find the eigenvectors and eigenvalues, how do you know which is the first eigenvector of the covariance matrix?
For example, suppose the following eigenvalues are returned,
0.1017 0 0 0
0 4.1704 0 0
0 0 7.2938 0
0 0 0 23.8721
and suppose the corresponding eigenvectors are
.9032 .28394 .3242 -.453
.343 -.23423 -.234234 .2342
-.3423 .76940 .2938 .7584
.76859 .9873 .3242 -.8721
I thought I read somewhere that it's convention to make the first eigenvalue be the one with the largest value. Is this correct? If so, then because the fourth column has the largest corresponding eigenvalue, then the fourth column would actually be the first egienvector? Or do you just take the first column to be the first eigenvector?
eigenvalues-eigenvectors
eigenvalues-eigenvectors
asked Nov 26 at 7:07
user6259845
42029
42029
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When writing on paper, yes, you may arrange the eigenvalues at a decreasing order. For Matlab, though, the eigenvectors correspond to the "coordinate arrangement" yielded for the eigenvalues by the matrix of them.
So to be clear, since I'm using Matlab, the first eignvector is just the first column, regardless of the corresponding eigenvalues?
– user6259845
Nov 26 at 7:17
No, the first eigenvalue corresponds to the first eigenvector per Matlab order and so on. What I said, is that eigenvalues and eigenvectors aren't differently ordered and/or decrrasinglly ordered. Eigenvalues and Eigenvectors MUST come in corresponding pairs to make sense (recall the diagonalization theorems).
– Rebellos
Nov 26 at 7:23
That makes sense, thanks!
– user6259845
Nov 26 at 7:24
No problem, glad I could help! If the answer was helpful you may use the votes buttons!
– Rebellos
Nov 26 at 7:29
add a comment |
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1 Answer
1
active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
When writing on paper, yes, you may arrange the eigenvalues at a decreasing order. For Matlab, though, the eigenvectors correspond to the "coordinate arrangement" yielded for the eigenvalues by the matrix of them.
So to be clear, since I'm using Matlab, the first eignvector is just the first column, regardless of the corresponding eigenvalues?
– user6259845
Nov 26 at 7:17
No, the first eigenvalue corresponds to the first eigenvector per Matlab order and so on. What I said, is that eigenvalues and eigenvectors aren't differently ordered and/or decrrasinglly ordered. Eigenvalues and Eigenvectors MUST come in corresponding pairs to make sense (recall the diagonalization theorems).
– Rebellos
Nov 26 at 7:23
That makes sense, thanks!
– user6259845
Nov 26 at 7:24
No problem, glad I could help! If the answer was helpful you may use the votes buttons!
– Rebellos
Nov 26 at 7:29
add a comment |
up vote
1
down vote
accepted
When writing on paper, yes, you may arrange the eigenvalues at a decreasing order. For Matlab, though, the eigenvectors correspond to the "coordinate arrangement" yielded for the eigenvalues by the matrix of them.
So to be clear, since I'm using Matlab, the first eignvector is just the first column, regardless of the corresponding eigenvalues?
– user6259845
Nov 26 at 7:17
No, the first eigenvalue corresponds to the first eigenvector per Matlab order and so on. What I said, is that eigenvalues and eigenvectors aren't differently ordered and/or decrrasinglly ordered. Eigenvalues and Eigenvectors MUST come in corresponding pairs to make sense (recall the diagonalization theorems).
– Rebellos
Nov 26 at 7:23
That makes sense, thanks!
– user6259845
Nov 26 at 7:24
No problem, glad I could help! If the answer was helpful you may use the votes buttons!
– Rebellos
Nov 26 at 7:29
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
When writing on paper, yes, you may arrange the eigenvalues at a decreasing order. For Matlab, though, the eigenvectors correspond to the "coordinate arrangement" yielded for the eigenvalues by the matrix of them.
When writing on paper, yes, you may arrange the eigenvalues at a decreasing order. For Matlab, though, the eigenvectors correspond to the "coordinate arrangement" yielded for the eigenvalues by the matrix of them.
answered Nov 26 at 7:11
Rebellos
13.4k21142
13.4k21142
So to be clear, since I'm using Matlab, the first eignvector is just the first column, regardless of the corresponding eigenvalues?
– user6259845
Nov 26 at 7:17
No, the first eigenvalue corresponds to the first eigenvector per Matlab order and so on. What I said, is that eigenvalues and eigenvectors aren't differently ordered and/or decrrasinglly ordered. Eigenvalues and Eigenvectors MUST come in corresponding pairs to make sense (recall the diagonalization theorems).
– Rebellos
Nov 26 at 7:23
That makes sense, thanks!
– user6259845
Nov 26 at 7:24
No problem, glad I could help! If the answer was helpful you may use the votes buttons!
– Rebellos
Nov 26 at 7:29
add a comment |
So to be clear, since I'm using Matlab, the first eignvector is just the first column, regardless of the corresponding eigenvalues?
– user6259845
Nov 26 at 7:17
No, the first eigenvalue corresponds to the first eigenvector per Matlab order and so on. What I said, is that eigenvalues and eigenvectors aren't differently ordered and/or decrrasinglly ordered. Eigenvalues and Eigenvectors MUST come in corresponding pairs to make sense (recall the diagonalization theorems).
– Rebellos
Nov 26 at 7:23
That makes sense, thanks!
– user6259845
Nov 26 at 7:24
No problem, glad I could help! If the answer was helpful you may use the votes buttons!
– Rebellos
Nov 26 at 7:29
So to be clear, since I'm using Matlab, the first eignvector is just the first column, regardless of the corresponding eigenvalues?
– user6259845
Nov 26 at 7:17
So to be clear, since I'm using Matlab, the first eignvector is just the first column, regardless of the corresponding eigenvalues?
– user6259845
Nov 26 at 7:17
No, the first eigenvalue corresponds to the first eigenvector per Matlab order and so on. What I said, is that eigenvalues and eigenvectors aren't differently ordered and/or decrrasinglly ordered. Eigenvalues and Eigenvectors MUST come in corresponding pairs to make sense (recall the diagonalization theorems).
– Rebellos
Nov 26 at 7:23
No, the first eigenvalue corresponds to the first eigenvector per Matlab order and so on. What I said, is that eigenvalues and eigenvectors aren't differently ordered and/or decrrasinglly ordered. Eigenvalues and Eigenvectors MUST come in corresponding pairs to make sense (recall the diagonalization theorems).
– Rebellos
Nov 26 at 7:23
That makes sense, thanks!
– user6259845
Nov 26 at 7:24
That makes sense, thanks!
– user6259845
Nov 26 at 7:24
No problem, glad I could help! If the answer was helpful you may use the votes buttons!
– Rebellos
Nov 26 at 7:29
No problem, glad I could help! If the answer was helpful you may use the votes buttons!
– Rebellos
Nov 26 at 7:29
add a comment |
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