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问了讨论。

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。

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.

可见征值符合操作者一征向量，而相关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.

获得了一种求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1矩阵结构、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.

每个征值符合操作者一征向量，而相关征值符合征值里值。

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.

获得了种求可对角化正文矩阵向便方法。

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、值与向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.

每个可见值符合操作者向，而相关值符合值里可见值。

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.

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。