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Nonlinear Equations - UFRJ

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[SEC. 7.3: ESTIMATES FROM DATA AT A POINT 101<br />

and rearrange terms in (1 + α − √ ∆)/(1 + α + √ ∆) = 1/2, we obtain<br />

the second degree polynomial<br />

2α 2 − 13α + 2 = 0.<br />

This has solutions (13 ± √ √ 17)/2. When 0 ≤ α ≤ α 0 = (13 −<br />

17)/2, the polynomial values are positive and hence q ≤ 1/2.<br />

Proof of Theorem 7.15. Let β = β(f, x 0 ) and γ = γ(f, x 0 ). Let h βγ<br />

and the sequence t i be as in Proposition 7.16. By construction, ‖x 1 −<br />

x 0 ‖ = β = t 1 − t 0 . We use the following notations:<br />

Those will be compared to<br />

β i = β(f, x i ) and γ i = γ(f, x i ).<br />

ˆβ i = β(h βγ , t i )) and ˆγ i = γ(h βγ , t i )).<br />

Induction hypothesis: β i ≤ ˆβ i and for all l ≥ 2,<br />

‖Df(x i ) −1 D l f(x i )‖ ≤ − h(l) βγ (t i)<br />

h ′ βγ (t i) .<br />

The initial case when i = 0 holds by construction.<br />

assume that the hypothesis holds for i. We will estimate<br />

So let us<br />

β i+1 ≤ ‖Df(x i+1 ) −1 Df(x i )‖‖Df(x i ) −1 f(x i+1 )‖ (7.12)<br />

and<br />

γ i+1 ≤ ‖Df(x i+1 ) −1 Df(x i )‖ ‖Df(x i) −1 D k f(x i+1 )‖<br />

. (7.13)<br />

k!<br />

By construction, f(x i ) + Df(x i )(x i+1 − x i ) = 0. The Taylor expansion<br />

of f at x i is therefore<br />

Df(x i ) −1 f(x i+1 ) = ∑ k≥2<br />

Df(x i ) −1 D k f(x i )(x i+1 − x i ) k<br />

k!

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