Section 1.6 Existence and Uniqueness of Solutions
ΒΆSubsection 1.6.1 The Existence and Uniqueness Theorem
ΒΆThe following theorem tells us that solutions to first-order differential equations exist and are unique under certain reasonable conditions.Theorem 1.6.1. Existence and Uniqueness Theorem.
Let xβ²=f(t,x) have the initial condition x(t0)=x0. If f and βf/βx are continuous functions on the rectangle
there exists a unique solution u=u(t) for xβ²=f(t,x) and x(t0)=x0 on some interval |tβt0|<h contained in the interval |tβt0|<a.
Example 1.6.2.
Consider the initial value problem yβ²=y1/3 with y(0)=0 and tβ₯0. Separating the variables,
Thus,
or
If C=0, the initial condition is satisfied and
is a solution for tβ₯0. However, we can find two additional solutions for tβ₯0:
This is especially troubling if we are looking for equilibrium solutions. Although yβ²=y1/3 is an autonomous differential equation, there is no equilibrium solution at y=0. The problem is that
is not defined at y=0.
Example 1.6.3.
Suppose that yβ²=y2 with y(0)=1. Since f(t,y)=y2 and βf/βy=2y are continuous everywhere, a unique solution exists near t=0. Separating the variables,
we see that
or
Therefore, a solution also exists on (ββ,1) if y(0)=β1. In the case that y(0)=β1, the solution is
and a solution exists on (β1,β). Solutions are only guaranteed to exist on an open interval containing the initial value and are very dependent on the initial condition.
Remark 1.6.4. Solutions Curves Cannot Cross.
The Existence and Uniqueness Theorem tells us that the integral curves of any differential equation satisfying the appropriate hypothesis, cannot cross. If the curves did cross, we could take the point of intersection as the initial value for the differential equation. In this case, we would no longer guaranteed unique solutions to a differential equation.
Subsection 1.6.2 Picard Iteration
ΒΆIt was Emile Picard (1856β1941) who developed the method of successive approximations to show the existence of solutions of ordinary differential equations. He proved that it is possible to construct a sequence of functions that converges to a solution of the differential equation. One of the first steps towards understanding Picard iteration is to realize that an initial value problem can be recast in terms of an integral equation.Theorem 1.6.5.
The function u=u(t) is a solution to the initial value problem
if and only if u is a solution to the integral equation
Proof.
Suppose that \(u = u(t)\) is a solution to
on some interval \(I\) containing \(t_0\text{.}\) Since \(u\) is continuous on \(I\) and \(f\) is continuous on \(R\text{,}\) the function \(F(t) = f(t, u(t))\) is also continuous on \(I\text{.}\) Integrating both sides of \(u'(t) = f(t, u(t))\) and applying the Fundamental Theorem of Calculus, we obtain
Since \(u(t_0) = x_0\text{,}\) the function \(u\) is a solution of the integral equation.
Conversely, assume that
If we differentiate both sides of this equation, we obtain \(u'(t) = f(t, u(t))\text{.}\) Since
the initial condition is fulfilled.
Example 1.6.6.
Consider the exponential growth equation,
We already know that the solution is x(t)=ekt. We define the first few terms of our sequence {un(t)} as follows:
The next term in the sequence is
and the nth term is
However, this is just the nth partial sum for the power series for u(t)=ekt, which is what we expected.
Subsection 1.6.3 Important Lessons
ΒΆ-
Existence and uniqueness of solutions of differential equations has important implications. Let xβ²=f(t,x) have the initial condition x(t0)=x0. If f and βf/βx are continuous functions on the rectangle
R={(t,x):0β€|tβt0|<a,0β€|xβx0|<b},there exists a unique solution u=u(t) for xβ²=f(t,x) and x(t0)=x0 on some interval |tβt0|<h contained in the interval |tβt0|<a. In particular,
- Solutions are only guaranteed to exist locally.
- Uniqueness is especially important when it comes to finding equilibrium solutions.
- Uniqueness of solutions tells us that the integral curves for a differential equation cannot cross.
- The function u=u(t) is a solution to the initial value problemxβ²=f(t,x)x(t0)=x0,if and only if u is a solution to the integral equationx(t)=x0+β«tt0f(s,x(s))ds.
- Existence and uniqueness of solutions is proved by Picard iteration. This is of particular interest since the proof actually tells us how to construct a sequence of functions that converge to our solution.
Reading Questions 1.6.4 Reading Questions
ΒΆ1.
Explain Theorem 1.6.1 in your own words.
2.
What important rule from differential calculus do we use when solving a first-order differential equation?
Exercises 1.6.5 Exercises
ΒΆ1.
Which of the following initial value problems are guaranteed to have a unique solution by the Existence and Uniqueness Theorem (Theorem 1.6.1)? In each case, justify your conclusion.
- yβ²=4+y3, y(0)=1
- yβ²=βy, y(1)=0
- yβ²=βy, y(1)=1
- xβ²=txβ2, x(0)=2
- xβ²=txβ2, x(2)=0
- yβ²=xtany, y(0)=0
- yβ²=1ty+2t, y(0)=1
- There exists a unique solution to \(y' = 4 + y^3\text{,}\) \(y(0) = 1\text{,}\) since \(f(t, y) = 4 + y^3\) and \(\partial f(t, y)/\partial y = 3y^2\) are continuous at the point \((0, 1)\text{.}\)
- The Existence and Uniqueness Theorem does not apply to \(y' = \sqrt{y}\text{,}\) \(y(1) = 0\text{,}\) since \(f(t, y) = \sqrt{y}\) is not continuous at \((1, 0)\text{.}\)
- There exists a unique solution to \(y' = \sqrt{y}\text{,}\) \(y(1) = 1\text{,}\) since \(f(t, y) = \sqrt{y}\) and \(\partial f(t, y)/\partial y = 1/(2 \sqrt{y}\, )\) are both continuous at the point \((1, 1)\text{.}\)
- The Existence and Uniqueness Theorem does not apply to \(x' = t/(x - 2)\text{,}\) \(x(0) = 2\text{,}\) since \(f(t, x) = t/(x - 2)\) is not continuous at \((0, 2)\text{.}\)
- There exists a unique solution to \(x' = t/(x - 2)\text{,}\) \(x(2) = 0\text{,}\) since \(f(t, x) = t/(x - 2)\) and \(\partial f(t, x)/\partial x = - t/(x-2)^2\) are both continuous at the point \((2, 0)\text{.}\)
- There exists a unique solution to \(y' = x \tan y\text{,}\) \(y(0) = 0\text{,}\) since \(f(x, y) = x \tan y\) and \(\partial f(x, y)/\partial y = x \sec^2 y\) are both continuous at the point \((0, 0)\text{.}\)
- The Existence and Uniqueness Theorem does not apply to \(y' = y/t + 2t\text{,}\) \(y(0) = 1\text{,}\) since \(f(t, y) = y/t + 2t\) is not continuous at \((0, 1)\text{.}\)
2.
Find an explicit solution to the initial value problem
Use your solution to determine the interval of existence.
3.
Consider the initial value problem
- Show that the constant function, y(t)β‘0, is a solution to the initial value problem.
- Show thaty(t)={0,tβ€t0(tβt0)3,t>t0is a solution for the initial value problem, where t0 is any real number. Hence, there exists an infinite number of solutions to the initial value problem. [Hint: Make sure that the derivative of y(t) exists at t=t0. ]
- Explain why this example does not contradict the Existence and Uniqueness Theorem.
4.
Let Οn(x)=xn for 0β€xβ€1 and show that
This is an example of a sequence of continuous functions that does not converge to a continuous function, which helps explain the need for uniform continuity in the proof of the Existence and Uniqueness Theorem.
5.
Consider the initial value problem
- Use the fact that yβ²=2ty+t is a first-order linear differential equation to find a solution to the initial value problem.
- Let Ο0(t)=1 and use Picard iteration to find Οn(t).
- Show that the sequence {Οn(t)} converges to the exact solution that you found in part (a) as nββ.
Proof of the Existence and Uniqueness Theorem
6.
Use the Fundamental Theorem of Calculus to show that the function u=u(t) is a solution to the initial value problem
if and only if u is a solution to the integral equation
7.
If βf/βx is continuous on the rectangle
prove that there exists a K>0 such that
for all (t,x1) and (t,x2) in R.
8.
Define the sequence {un} by
Use the result of the previous exercise to show that
9.
Show that there exists an M>0 such that
10.
Show that
11.
Use mathematical induction to show that
12.
Since
we can view un(t) as a partial sum for the series
If we can show that this series converges absolutely, then our sequence will converge to a function u(t). Show that
where h is the maximum distance between (t0,x0) and the boundary of the rectangle R. Since |un(t)βunβ1(t)|β0, we know that un(t) converges to a continuous function u(t) that solves our equation.β9βWe must a theorem from advanced calculus here to ensure uniform continuity. Any sequence of functions that converges uniformly, must converge to a continuous function.
13.
To show uniqueness, assume that u(t) and v(t) are both solutions to
Show that
14.
- Defineβ10βA similar argument will work for \(t \leq t_0\text{.}\)Ο(t)=β«tt0|u(s)βv(s)|ds,then Ο(t0)=0 and Ο(t)β₯0 for tβ₯t0. Show thatΟβ²(t)=|u(t)βv(t)|.
- Since|u(t)βv(t)|βKβ«tt0|u(s)βv(s)|dsβ€0,we know thatΟβ²(t)βKΟ(t)β€0.Use this fact to show thatddt[eβKtΟ(t)]β€0.Conclude thatΟ(t)=β«tt0|u(s)βv(s)|ds=0for tβ₯t0 or for all tβ₯t0 and u(t)=v(t).