https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/eigendecomposition.html

This is a very minor issue, but in 22.2.6.2 at the very end "If we look at the last portion of the above computation, we see that the random vector is stretched by a factor of `1.974459321485[...]`

,

I think the number 1.97 is a typo at should be 2.45 as that is the largest eigenvalue as well as the number the chart suggests

**Section 22.2.4**

we may take W to be an ~~orthogonal matrix~~ * orthonormal matrix* —a matrix whose columns are all length one vectors that are at right angles to one another,

**Section 22.2.62**

If we look at the last portion of the above computation, we see that the random vector is stretched by a factor of ~~1.974459321485~~ `2.4532[...]`

, where the portion at the end shifts a little, but the stretching factor is stable.