Let x′(t)=f(t,x(t)),t in (0,T) with x(0)=x_0 f satifies the Lipschitz-condition f(t,x)−f(t,y)<=L|x−y| h in (0,1/L) is the step size and the approximation x_k for x(t_k)=hk is given by x_k=x_(k−1)+hf(t_k,x_k). Now I would be very interested how to derive the error |x_k−x(t_k)|<=(1)/(1−Lh)(|x_(k−1)−x(t_(k−1))|+(h^2)/(2)max_(s in [0,T])|x′′(s)|) I tried to look up it up in some numerical analysis books but it is always different

Julia Chang

Julia Chang

Answered question

2022-09-16

Let
x ( t ) = f ( t , x ( t ) ) , t ( 0 , T ) with x ( 0 ) = x 0
f satifies the Lipschitz-condition f ( t , x ) f ( t , y ) L | x y |
h ( 0 , 1 L ) is the step size and the approximation x k for x ( t k ) = h k is given by x k = x k 1 + h f ( t k , x k ).
Now I would be very interested how to derive the error
| x k x ( t k ) | 1 1 L h ( | x k 1 x ( t k 1 ) | + h 2 2 max s [ 0 , T ] | x ( s ) | )
I tried to look up it up in some numerical analysis books but it is always different

Answer & Explanation

Edgeriecoereexq

Edgeriecoereexq

Beginner2022-09-17Added 4 answers

First, we get local truncation error.
x ( t k + 1 ) = x ( t k ) + h f ( t k , x ( t k ) ) + τ k
τ k = x ( t k + 1 ) x ( t k ) h f ( t k , x ( t k ) ) = h 2 2 x ( η ). Where η ( t k , t k + 1 ).
Then we get the bound,
| x ( t k + 1 ) x k + 1 | ( 1 + h L ) | x ( t k ) x k | + | τ k |
( 1 + h L ) | x ( t k ) x k | + h 2 2 max s ( 0 , T ) | x ( s ) |
1 1 h L | x ( t k ) x k | + h 2 2 max s ( 0 , T ) | x ( s ) |
Where the last step is from geometric series. Maybe it would be helpful if you listed the other results you are talking about, and then we can show that they're equivalent.

Do you have a similar question?

Recalculate according to your conditions!

Ask your question.
Get an expert answer.

Let our experts help you. Answer in as fast as 15 minutes.

Didn't find what you were looking for?