A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得了一种求可对角化正文矩阵的量的简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1的矩阵的结构、乘法乘幂运算、量和对角化问题进行了讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可见符合操作者一量，而相关的符合里的可见。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得了一种求可对角化正文矩征向量简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1矩结构、乘法与乘幂运算、征值与征向量和对角化问题进行了讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可见征值符合操作者一征向量，征值符合征值里可见值。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得了一种角化正文矩阵的向量的简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要秩等于1的矩阵的结构、乘法与乘幂运算、值与向量和角化问题进行了讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个见值符操作者一向量，而相关的值符值里的见值。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得了一种求可对角化正文矩阵的征向量的简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1的矩阵的结构、乘法与乘幂运算、征值与征向量和对角化问题进行了讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可见征值符合操作者一征向量，而相关的征值符合征值里的可见值。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得了一种求可对角化正文矩阵的的简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1的矩阵的结构、乘法与乘幂运算、与对角化问题进行了讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可见符合操作者一，而相关的符合里的可见。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得了一种求可对角化正文矩阵的征向量的简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1的矩阵的结构、法幂运算、征值征向量和对角化行了讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可见征值符合操作者一征向量，而相关的征值符合征值里的可见值。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得求可对角化正文矩阵征向量简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1矩阵结构、乘法与乘幂运算、征与征向量和对角化问题进行讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可见征符合操作者征向量，而相关征符合征可见。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

得了一种求可对角化正文矩阵的征向量的简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1的矩阵的结构、乘法与乘幂运算、征与征向量和对角化问题进行了讨论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可征符合操作者一征向量，而相关的征符合征里的可。

A series of the necessary and Sufficient conditions of the diagonalizable orthogonaltransformation and orthogonal matrix is given.

获得一种求可对角化正文矩阵的征向量的简便方法。

This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.

摘要对秩等于1的矩阵的、法与幂运算、征值与征向量和对角化问题进论。

Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.

每个可见征值符合操作者一征向量，而相关的征值符合征值里的可见值。