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

一类要
其解是

可对角化四元数矩阵的特征值反问题。
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数学之美
数学之美
数学之美
数学之美
数学之美
数学之美 And indeed, this is how you would tell a computer to perform quaternion multiplication, and the relative compactness of this operation compared to, say, matrix multiplication, is what's made quaternions so useful for graphics programming and many other things.
确实,这就是你告诉计算机执行四元数乘法的方式,而与矩阵乘法
比,这种操作的

凑性使得四元数在图形编程以及其他许多领域中非常有用。
数学之美
数学之美
数学之美
数学之美
数学之美
数学之美
数学之美 But just as a deeper understanding for complex multiplication comes from understanding its geometry, that multiplying by a complex number involves a combination of scaling and rotating, you and I are here for the four-dimensional geometry of quaternion multiplication.
但正如
复数乘法的几何意义有更深的理解,即乘以一个复数涉及缩放和旋转的结合,我们在这里是为了理解四元数乘法的四维几何意义。
数学之美
数学之美
数学之美
数学之美 There's also a rather elegant form of this multiplication rule written in terms of the dot product and the cross product, and in some sense, quaternion multiplication subsumes both of these notions—at least, as they appear in three dimensions.
这种乘法规则还有一种
当优雅的形式, 以点积和叉积的形式编写,从某种意义上说, 四元数乘法包含了这两个概念——至少,因为它们在三维空间中出现。
数学之美