| In this paper we prove that every square matrix with complex coefficients has an eigenvector. |
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| In fact, we will prove the slightly stronger result that any number of commuting square matrices with complex entries have a common eigenvector. |
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| Here, the amplitude of the eigenvector in the lowest-frequency mode is plotted on the ordinate whereas the abscissa shows the residue number. |
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| The composition matrix is expected to represent the eigenvector matrix of the unknown kinetic matrix. |
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| Each eigenvector of the observational error covariance matrix is multiplied with a random number. |
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| A recent method was defined by Cloude, who use eigenvector decomposition of the coherency matrix to identify dominant scattering mechanisms. |
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| A parameter derived in the Cloude eigenvector decomposition of the coherency matrix to describe the importance of the secondary scattering mechanisms. |
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| Eigenvalue, eigenfunction, eigenvector, and related terms, Earliest Known Uses of Some of the Words of Mathematics. |
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| Based on the data presented in Table 2, we can find eigenvector by using the 4-th method of calculation. |
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| In further research it is necessary to practically confirm suggested algorithm, compare it with previous algorithm and use symmetry properties of eigenvector. |
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| Eigenvector centrality is obtained based on the connectivity of neighbouring nodes. |
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