3 thoughts on “What is the Hermite matrix?”

  1. Hermite matrix is ​​also known as the combination. Each I
    in the Hermite array is equal to the coexistence of the elements of the Ji
    rows of the row of the row of the row of the rows.

  2. The purpose of the Hermite matrix is ​​mainly in the application of engineering majors, which can more easily describe engineering information.
    The Hermitian Conjugate Matrix (also translated as "Elmit Matrix" or "Emimi Matrix"), which refers to the self -consuming matrix. Each element in each line i in the matrix is ​​equal to the coexistence of the elements in line I.
    Nature:
    Obviously, the elements on the diagonal line of the Elmita matrix are all real, and their characteristic values ​​are also real. For the matrix (real matrix) that only contains real elements, if it is symmetrical, that is, all elements are symmetrical about the main diagonal line, then it is also an Elmit matrix. In other words, the solid symmetrical matrix is ​​a special case of the El Mitt matrix.
    If A and B are the El Mitt matrix, then they and A B are also the El Mitt matrix; and only when A and B meet the exchange (that is, AB = BA), their accumulation talents It is the El Mitt matrix.
    The reversible Elmite matrix A's inverse matrix A is still the Elmit matrix.
    If A is the El Mitt matrix, for the positive integer n, A is the El Mitt matrix.
    Themine C and the Elmit matrix with the converted crickets.
    Themane C can use the harmony of an Elmit matrix A and an oblique Otalt matrix B.
    The Elmit matrix is ​​a regular matrix, so the Elmit matrix can be keratinized, and the elements of the diagonal arrays obtained are all real. This means that the characteristic values ​​of the Elmit matrix are real, and the characteristic vectors corresponding to different feature values ​​are orthodox, so they can find a set of C positive groups in these feature vectors.
    n-steps of the element of the Elmit matrix forming the dimension of the dimension of the dimension of N^2-N, because the elements on the main diagonal line have a degree of freedom, and the elements outside the main diagonal line have the elements outside the diagonal line. Two degrees of freedom.
    If the characteristic value of the Elmit matrix is ​​positive, then this matrix is ​​a positive setting matrix. If they are non -negative, this matrix is ​​a semi -positive matrix.

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