One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文研究了四元数量子力学中一类要求其解是正规或可对角化四元数矩阵的特征值反问题。

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、特征值与特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.

每个可见特征值符合操作者一特征向量，而相关的特征值符合特征值里的可见值。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

在对高度非正规矩阵的研究应用中，理将比它们的特例-广义特征值理更可靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

要本文研究了四元数量子力学中一类要求其解是正规或可对角化四元数矩阵的特征值反。

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

要对秩等于1的矩阵的结构、乘法与乘幂运、特征值与特征向量和对角化进行了。

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.

个可见特征值符合操作者一特征向量，而相关的特征值符合特征值里的可见值。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

在对高度非正规矩阵的研究应用中，这些定理将比它们的特例-广义特征值定理更可靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文研究了四元数量子力学中一类要求其解是正规或对角化四元数矩阵的特问题。

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、特与特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.

每特符合操作者一特向量，而相关的特符合特里的。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

在对高度非正规矩阵的研究应用中，这些定理将比它们的特例-广义特定理更靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文研究了四元数量子力学中一类要求其规或可对角化四元数矩阵的特征值反问题。

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、特征值与特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.

每个可见特征值符合操作者一特征向量，的特征值符合特征值里的可见值。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

在对高度非规矩阵的研究应用中，这些定理将比它们的特例-广义特征值定理更可靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文研元数量子力学中一类要求其解是正规或可对角化元数矩阵的特征反问题。

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、特征与特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.

每个可特征符合操作者一特征向量，而相关的特征符合特征里的可。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

对高度非正规矩阵的研应用中，这些定理将比它们的特例-广义特征定理更可靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文研究了四元数子力学中一类要求其解是正规或可对角化四元数矩阵的特值反问题。

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、特值与特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.

每个可见特值符合操作者一特，而相关的特值符合特值里的可见值。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

在对高度非正规矩阵的研究应用中，这些定理将比它们的特例-广义特值定理更可靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文研究了四元数量子力学中一类要求其解是正规或可对角化四元数矩阵的特征值反问题。

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、特征值与特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.

每个可见特征值符合操作者一特征向量，而相关的特征值符合特征值里的可见值。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

在对高度非正规矩阵的研究应用中，这些比它们的特例-广义特征值更可靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文四元数量子力学中一类要求其解是正规或可角化四元数矩阵的特征反问题。

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、特征与特征向量和角化问题进行讨论。

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.

每个可见特征符合操作者一特征向量，而相关的特征符合特征里的可见。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

高度非正规矩阵的应用中，这些定理将比它们的特例-广义特征定理更可靠，能提供更多的信息。

One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.

摘要本文研究了数量子力学中一类要求其解是正规或可对角数矩阵的特征值反问题。

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、特征值与特征向量和对角问题进行了讨论。

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.

每个可见特征值符合一特征向量，而相关的特征值符合特征值里的可见值。

In the practical applications of highly nonnormal matrices, these theorems may be more useful than their generalized eigenvalue special cases and may provide more descriptive information.

在对高度非正规矩阵的研究应用中，这些定理将比它们的特例-广义特征值定理更可靠，能提供更多的信息。