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Nonlinear Equations - UFRJ

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Chapter 8<br />

Condition number<br />

theory<br />

8.1 Linear equations<br />

The following classical theorem in linear algebra is known<br />

as the singular value decomposition (svd for short).<br />

Theorem 8.1. Let A : R n ↦→ R m (resp. C n → C m ) be linear. Then,<br />

there are σ 1 ≥ · · · ≥ σ r > 0, r ≤ m, n, such that<br />

A = UΣV ∗<br />

with U ∈ O(m) (resp. U(m)), V ∈ O(n) (resp. U(n)) and Σ ij = σ i<br />

for i = j ≤ r and 0 otherwise.<br />

It is due to Sylvester (real n × n matrices) and to Eckart and<br />

Young [37] in the general case, now exercise 8.1 below.<br />

Gregorio Malajovich, <strong>Nonlinear</strong> equations.<br />

28 o Colóquio Brasileiro de Matemática, IMPA, Rio de Janeiro, 2011.<br />

Copyright c○ Gregorio Malajovich, 2011.<br />

107

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