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.

每个可见征符合操作者一征向量，而相关的征符合征里的可见。

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、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.

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.

摘要对秩等于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.

获得了种求可对角化正文矩阵征向量方法。

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.

获得了一种求可对角化阵向量简便方法。

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阵结构、乘法与乘幂运算、值与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.

每个可见值符合操作者一向量，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.

摘要于1的矩阵的结构、乘法与乘幂运算、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.

每个可见符合操作者一向量，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.

获得了种求可对角化正文矩阵的征向量的法。

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.

见征值符合操作者一征向量，而相关征值符合征值里见值。