2.6 KiB
Math4501 Lecture 3
Review from last lecture
Bisection method for finding root
P1. Let f be a continuous function on [a,b]\to \mathbb{R}, find \xi \in [a,b] such that f(\xi)=0.
P2. Let g be a continuous function on [a,b]\to \mathbb{R}, find \xi \in [a,b] such that g(\xi)=\xi.
Theorem 1:
solution to P1 exists if f(a)f(b)<0.
Theorem 2:
Fixed point theorem:
If solution to P2 exists, then g:[a,b]\to [a,b].
Bijection method
Obtain two sequence (a_n)_{n=1}^\infty and (b_n)_{n=1}^\infty.
Initially, we set a_0=a and b_0=b.
If |a_n-b_n|<2^{-n}|a_0-b_0|, then a_n and b_n are Cauchy sequence. So their limit exists.
\lim_{n\to\infty} a_n=\lim_{n\to\infty} b_n=\xi.
Simple iteration method
Definition of Simple Iteration
Given x_0\in [a,b], we define a sequence (x_n)_{n=0}^\infty by
x_{n+1}=g(x_n)
If a simple iteration converges, the it converges to a fixed point of
Proof
Let c\coloneqq \lim_{n\to\infty} x_n=g(c).
g:[a,b]\to \mathbb{R} is continuous if and only if g is continuous at x_0\in [a,b].
Definition of Lipschitz continuous
A function g:[a,b]\to \mathbb{R} is Lipschitz continuous if for all x,y\in [a,b], there exists a constant L>0 such that
|g(x)-g(y)|\leq L|x-y|
for some L>0.
Note
Lipschitz continuous is a stronger condition than continuous.
If a function is Lipschitz continuous, then it is continuous.
However, the converse is not true.
Definition of contraction mapping
A function g:[a,b]\to \mathbb{R} is a contraction mapping if it is Lipschitz continuous with L<1.
Theorem of simple iteration
Let g:[a,b]\to [a,b] is a contraction mapping (Lipschitz continuous with L<1, with pointwise ontinuous g).
Then
ghas a unique fixed point\xi \in [a,b]- Simple iteration
x_{n+1}=g(x_n)converges to\xifor anyx_0\in [a,b].
Proof
Uniqueness:
Suppose \xi_1 and \xi_2 are two fixed points of g.
Then |x_1-x_2|=|g(\xi_1)-g(\xi_2)|\leq L|\xi_1-\xi_2|.
Thus, (1-L)|\xi_1-\xi_2|\leq 0, which implies |\xi_1-\xi_2|=0.
A more general result:
Brouwer's fixed point theorem
Convergence:
Let \xi\in [a,b] be the unique fixed point of g.
Then,
\begin{aligned}
|x_n-\xi|&=|g(x_{n-1})-g(\xi)|\\
&\leq L|x_{n-1}-\xi|\\
&=L|g(x_{n-2})-g(\xi)|\\
&\leq L^2|x_{n-2}-\xi|\\
&\vdots\\
&\leq L^n|x_0-\xi|
Thus, we can always find N such that L^N|x_0-\xi|<\epsilon for any \epsilon>0. Choose N=\log(\frac{\epsilon}{|x_0-\xi|})/\log(L).
Therefore, x_n converges to \xi.