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?










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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?










    share|cite|improve this question
























      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?










      share|cite|improve this question













      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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      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.






          share|cite|improve this answer





















          • 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











          Your Answer





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          1 Answer
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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.






          share|cite|improve this answer





















          • 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















          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.






          share|cite|improve this answer





















          • 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













          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.






          share|cite|improve this answer












          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.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          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


















          • 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


















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