Question #132139
State and prove existence and uniqueness theorem
1
Expert's answer
2020-09-13T14:58:56-0400

Existence and uniqueness theorem is the tool which makes it possible for us to conclude that there exists only one solution to a first order differential equation which satisfies a given initial condition.


Theorem. 

Let f(x,y) be a real valued function which is continuous on the rectangle 

R=R= {(x,y);xxoa,yyob(x,y); |x-x_{o}|\leq a, |y-y_{o}|\leq b }. Assume f has a partial derivative with respect to y and that δfδy\dfrac{\delta f}{\delta y} is also continuous on the rectangle R. Then there exists an interval I=[xoh,xo+h]I = [ x_{o}-h,x_{o}+h] (with hah\leq a ) such that the initial value problem

{y=f(x,y),y(xo)=yo\begin{cases} y'=f(x,y), &\\ y(x_{o})=y_{o} & \end{cases}


has a unique solution y(x) defined on the interval I.


Note that the number h may be smaller than a. In order to understand the main ideas behind this theorem, assume the conclusion is true. Then if y(x) is a solution to the initial value problem, we must have



y(x)=yo+xoxf(t,y(t))dty(x)=y_{o}+\int^{x}_{x_{o}} f(t,y(t))dt


It is not hard to see in fact that if a function y(x) satisfies the equation (called functional equation)


y(x)=yo+xoxf(t,y(t))dty(x)=y_{o}+\int^{x}_{x_{o}} f(t,y(t))dt


on an interval I, then it is solution to the initial value problem



y=f(x,y)y'=f(x,y)

y(xo)=yoy(x_{o})=y_{o}


Picard was among the first to look at the associated functional equation. The method he developed to find y is known as the method of successive approximations or Picard's iteration method. This is how it goes:


Step 1. Consider the constant function


yo(x)=yoy_{o}(x)=y_{o}

Step 2. Once the function yn(x)y_{n}(x)  is known, define the function


yn+1(x)=yo+xoxf(t,y(t))dty_{n+1}(x)=y_{o}+\int^{x}_{x_{o}} f(t,y(t))dt


Step 3. By induction, we generate a sequence of functions {yn(x)y_{n}(x) }  which, under the assumptions made on f(x,y), converges to the solution y(x) of the initial value problem



y=f(x,y)y'=f(x,y)

y(xo)=yoy(x_{o})=y_{o}


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