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Linear Algebra and Learning from Data

Exercise 1.9.10

Answers

$A^{- 1} = V^{- T} Σ^{- 1} U^{- 1} = V Σ^{- 1} U^{T}$ , so its $l^{2}$ norm is the maximum signular value, i.e. $\frac{1}{σ_{2}}$ .
Its Frobenius norm is $| | A^{- 1} | |_{F}^{2} = \frac{1}{σ_{1}^{2}} + \frac{1}{σ_{2}^{2}}$ .

niuers

2020-03-20 00:00

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