1.3 Fundamental Theorem for the Flow

Main Idea

The local existence and uniqueness of flow with a continuous dependence on the initial condition. Known as Picard-Lineröf-Cauchy-Lipschitz theorem.

Lipschitz Continuity

Lipschitz

f:AR is Lipschitz on A if there exists k>0 so that
|f(x)f(y)|k|xy|
for all x,yA

Thm: Lipschitz then Uniformly CTS

4.4.9


The Lipschitz condition permits one to construct the so-called Picard-Linderöf (LS) iteration, and to show that it is a contraction. Then existence and uniqueness then come from there.

Fundamental Theorem

Consider the system

x˙=F(x),xR.

Suppose F(x) is Lipschitz continuous on (a,b) with Lipschitz constant K.

  1. Existence:
    For a<x0<b, there exists a solution x(t) to
x˙=F(x),x(0)=x0

defined for some time interval τ<t<τ.
In other words, ϕt(x0) exists locally.

  1. Uniqueness:
    If x(t) and y(t) are two solutions with x(0)=x0=y(0), then
x(t)=y(t)

on the largest interval of time around t=0 where both are defined.

  1. Continuous Dependence on Initial Condition:
    Let T>0 such that ϕt(x0) is defined for TtT.
    Then for any ε>0, there exists δ>0 such that if |y0x0|<δ, then ϕt(y0) is defined for TtT and
|ϕt(y0)ϕt(x0)|<ε,TtT

Example:

x˙=kx2,x(0)=x0>0.

On [x0c,x0+c],

f(x)=2kx|f(x)|2k(|x0|+c), so

|f(x)f(y)|2k(|x0|+c)|xy|

f is locally Lipschitz ⇒ unique local solution exists.
Exact solution:

x˙=kx2dxx2=kdt

Integrate:

1x=kt+C.

Use x(0)=x0:

C=1x0.

Solve for x(t):

x(t)=x01kx0t,t=1kx0.

As tt, x(t)not globally Lipschitz

Only global case: x0=0x(t)0.