Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
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[SEC. 7.3: ESTIMATES FROM DATA AT A POINT 99<br />
t 0 = 0 t 1<br />
t 2<br />
ζ 1 ζ 2<br />
Figure 7.4: y = h βγ (t).<br />
Proof. By differentiating (7.9), one obtains<br />
( 1<br />
h ′ βγ(t) = h βγ (t) + 1<br />
)<br />
1<br />
+<br />
t − ζ 1 t − ζ 2 γ −1 − t<br />
and hence the Newton operator is<br />
1<br />
N(h βγ , t) = t −<br />
1<br />
t−ζ 1<br />
+ 1<br />
t−ζ 2<br />
+ 1 .<br />
γ −1 −t<br />
A tedious calculation shows that N(h βγ , t) is a rational function<br />
of degree 2. Hence, it is defined by 5 coefficients, or by 5 values.<br />
In order to solve the recurrence for t i , we change coordinates using<br />
a fractional linear transformation. As the Newton operator will have<br />
two attracting fixed points (ζ 1 and ζ 2 ), we will map those points to 0<br />
and ∞ respectively. For convenience, we will map t 0 = 0 into y 0 = 1.<br />
Therefore, we set<br />
S(t) = ζ 2t − ζ 1 ζ 2<br />
ζ 1 t − ζ 1 ζ 2<br />
and S −1 (y) = −ζ 1ζ 2 y + ζ 1 ζ 2<br />
−ζ 1 y + ζ 2