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,而相关的特征值符合特征值里的可见值。
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,而相关的特征值符合特征值里的可见值。
This paper discusses the structure, calculation of multiplication and power, eigenvalue and eigenvector, and diagonalizable problems of matrix of rank equal to 1.
秩等于1的矩阵的结构、乘法与乘幂运算、特征值与特征向和角化问题进行了讨论。
One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.
本文研究了四元数子力学中一类求其解是正规或可角化四元数矩阵的特征值反问题。
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.
在高度非正规矩阵的研究应用中,这些定理将比它们的特-广义特征值定理更可靠,能提供更多的信息。
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