Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
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.