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Nonlinear Equations - UFRJ

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132 [CH. 9: THE PSEUDO-NEWTON OPERATOR<br />

Thus,<br />

By (7.14) and induction,<br />

β i+1 ≤ β2 i γ i(1 − β i γ i )<br />

ψ(β i γ i )<br />

(9.6)<br />

β i+1 ≤ ˆβ 2 i ˆγ i(1 − ˆβ iˆγ i )<br />

ψ( ˆβ iˆγ i )<br />

= ˆβ i+1 .<br />

Now the second part of the induction hypothesis:<br />

Df(X i ) † D l f(X i+1 ) = ∑ k≥0<br />

1 Df(X i ) † D k+l f(X i )(X i+1 − X i ) k<br />

k!<br />

k + l<br />

Passing to norms and invoking the induction hypothesis,<br />

‖Df(X i ) † D l f(X i+1 )‖ ≤ ∑ k≥0<br />

and then using Lemma 9.4 and (7.14),<br />

− h(k+l) βγ<br />

(t i ) ˆβ i<br />

k<br />

k!h ′ βγ (t i)<br />

‖Df(X i+1 ) † D l f(X i+1 )‖ ≤ (1 − ˆβ iˆγ i ) 2 ∑<br />

ψ( ˆβ<br />

− h(k+l) βγ<br />

(t i ) ˆβ i<br />

k<br />

iˆγ i ) k!h ′ βγ (t i) .<br />

k≥0<br />

A direct computation similar to (7.14) shows that<br />

− h(k+l) βγ<br />

(t i+1 )<br />

k!h ′ βγ (t i+1) = (1 − ˆβ iˆγ i ) 2<br />

ψ( ˆβ iˆγ i )<br />

∑<br />

k≥0<br />

− h(k+l) βγ<br />

(t i ) ˆβ i<br />

k<br />

k!h ′ βγ (t i) .<br />

and since the right-hand-terms of the last two equations are equal,<br />

the second part of the induction hypothesis proceeds. Dividing by<br />

l!, taking l − 1-th roots and maximizing over all l, we deduce that<br />

γ i ≤ ˆγ i .<br />

Proposition 7.17 then implies that X 0 is an approximate zero.<br />

Let Z = lim k→∞ N k (f, Z). The second statement follows from<br />

d proj (X 0 , Z) ≤ ‖X 0 − Z‖ ≤ β 0 + β 1 + · · · = r 0 β.

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