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

子力学中一类要
其解是正规或可

四
矩阵的特征值反问题。
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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,而与矩阵乘法相比,这

的相对紧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。














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.
但正如对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。








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
乘法规则还有一
相当优雅的形式, 以点积和叉积的形式编写,从某
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。

