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In linear algebra, the modal matrix is used in the diagonalization process involving eigenvalues and eigenvectors. Specifically the modal matrix for the matrix is the ''n'' × ''n'' matrix formed with the eigenvectors of as columns in . It is utilized in the similarity transformation : where is an ''n'' × ''n'' diagonal matrix with the eigenvalues of on the main diagonal of and zeros elsewhere. The matrix is called the spectral matrix for . The eigenvalues must appear left to right, top to bottom in the same order as their corresponding eigenvectors are arranged left to right in . == Example == The matrix : has eigenvalues and corresponding eigenvectors : : : A diagonal matrix , similar to is : One possible choice for an invertible matrix such that is : Note that since eigenvectors themselves are not unique, and since the columns of both and may be interchanged, it follows that both and are not unique. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Modal matrix」の詳細全文を読む スポンサード リンク
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