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Ex. 3.8 #97

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szcf-weiya opened this issue Mar 22, 2018 · 4 comments
Closed

Ex. 3.8 #97

szcf-weiya opened this issue Mar 22, 2018 · 4 comments
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exercise QR solved SVD Singular Value Decomposition
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@szcf-weiya
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selection_658

@szcf-weiya
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image

Solutions for Exercises in Chap 3 automation moved this from To do to Done Mar 23, 2018
@szcf-weiya szcf-weiya added QR SVD Singular Value Decomposition labels Apr 28, 2018
@henrygatech
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why R22 is a 对角阵?

@szcf-weiya
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why R22 is a 对角阵?

Note that R22 is an upper triangular matrix. Generally, it can be shown that an upper triangular orthogonal matrix $M$ is diagonal.

Write $M$ as column vectors, $[v_1,\ldots,v_p]$, then
$$
\langle v_1, v_i\rangle = 0, \quad i=2,\ldots, p,,
$$
which implies the first elements of $v_i, i=2,\ldots, p$ equal 0. We can continue to show that the second elements of $v_i, i=3,\ldots, p$ are also 0 by noting that
$$
\langle v_2, v_i\rangle = 0, i=3,\ldots,p,.
$$
And so on for other elements. Finally, $M$ would be diagonal.

@ccwwhh101
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这题应该有点问题,应该问必要条件是什么,SVD分解应该不唯一

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