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

1.摘要本四元量子力学中一类要其解是正规或可对角化四元的特征值反问题。

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数学之美

1.Multiplication by any other quaternion is completely similar.

与任何其他的乘法完全相似。机翻

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数学之美

2.What I'll show you here is a way to visualize quaternions in their full four-dimensional glory.

我将在这里向您展示一种在完整的维荣耀中可视化法。机翻

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数学之美

3.Like all other non-unit quaternions, It's invisible to us.

像所有其他非单位一样,它对我们来说是不可见的。机翻

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数学之美

4.So the way that this works is slightly more complicated than a single quaternion product.

因此,其工作式比单个乘积稍微复杂一些。机翻

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数学之美

5.On the other hand, all the unit quaternions with negative real part end up somewhere outside that unit sphere.

另一面,所有具有负实部的单位最终都位于该单位球体之外的某个地机翻

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数学之美

6.And so far, it's probably not clear how exactly quaternions do describe 3d rotation.

到目前为止,我们可能还不清楚如何准确地描述 3d 旋转。机翻

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数学之美

7.That's right, your phone almost certainly has software running inside it that rely on quaternions.

没错,您的手机几乎肯定运行着依赖的软件。机翻

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数学之美

8.The 20th century also brought quaternions some more love from a completely different direction, quantum mechanics.

20 世纪也从一个完全不同的向——量子力学——给带来了更多的爱。机翻

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数学之美

9.Using quaternions to describe 3d rotations is similar, though the look and feel is slightly different.

使用描述 3d 旋转是相似的,但外观和感觉略有不同。机翻

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数学之美

10.What you do is not just a single quaternion product, but a quaternion sandwich, where you multiply by q from the left and the inverse of q from the right.

您所做的不仅仅是单个乘积,而是一个三明治, 其中您从左侧乘以 q, 从右侧乘以 q 的倒数。机翻

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数学之美

11.I'll review the method for thinking about quaternion multiplication described last video, explain why half the angle is used, and why you multiply from the right by the inverse.

我将回顾上一个视频中描述的思考乘法的法,解释为什么使用一半角度,以及为什么从右侧乘以倒数。机翻

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数学之美

12.The thing is, there are other ways to think about and compute rotations, many of which are way simpler to think about than quaternions.

问题是, 还有其他法来思考和计算旋转,其中许多法比更容易思考。机翻

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数学之美

13.It's something analogous to the equator of a 3d sphere, and it represents all of the unit quaternions whose real part is 0. What Hamilton would have described as unit vectors.

它类似于 3d 球体的赤道,它代表所有实部为 0 的单位。 汉密尔顿将其描述为单位向量。机翻

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数学之美

14.So after his discovery, he pushed hard for quaternions to be the primary language with which we teach students to describe three-dimensional space, even forming an official quaternion society to proselytize his discovery.

因此,在他的发现之后, 他极力推动成为我们教学生描述三维空间的主要语言,甚至组建了一个官协会来宣传他的发现。机翻

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数学之美

15.On the one hand, you could just define quaternion multiplication by giving the rules for how i, j, and k multiply together and saying that everything must distribute nicely.

面,您可以通过给出 i、j 和 k 如何相乘的规则来定义乘法,并规定所有内容必须良好分布。机翻

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数学之美

16.And multiplying quaternion, q1, by another, q2, has the effect of scaling q2 by the magnitude of q1 followed by a very special type of rotation in four dimensions.

q1 与另一个 q2 相乘,具有将 q2 按 q1 的大小缩放的效果,然后进行维旋转的非常特殊类型。机翻

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数学之美

17.And Hamilton used a special word for quaternions that had no real part and just ijk components, a word which was previously somewhat foreign in the lingo of math and physics: " vector" .

汉密尔顿使用了一个特殊的词来表示,它没有实部,只有 ijk 分量,这个词以前在数学和物理学的行话中有点陌生:“向量”。机翻

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数学之美

18.And just as the magnitude of a complex number—its distance from zero— is the square root of the sum of the squares of its components, that same operation gives you the magnitude of a quaternion.

正如复数的大小(距零的距离)是其分量平和的平根一样,同样的运算也可以得到的大小。机翻

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数学之美

19.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.

事实上,这就是告诉计算机执行乘法的式,并且与矩阵乘法相比,该操作的相对紧凑性使得对于图形编程和许多其他事情如此有用。机翻

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数学之美

20.So j goes to k, k goes to -j, -j goes to -k, and -k goes to j. This gives us a little table for what the number i does to the other quaternions.

因此,j 转到 k, k 转到 -j, -j 转到 -k, -k 转到 j。这为我们提供了一个小表格, 显示 i 对其他的作用。机翻

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