Autonomous ODE: non-uniqueness of solutions

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Thank you for your post and good luck with your studies.In summary, we discussed the concept of uniqueness of solutions for autonomous ODEs and how it depends on the properties of the function f(x). We also considered the case where the limit of \Psi(z) as z approaches x_{\pm} is finite, which may result in multiple solutions satisfying the given initial condition and boundary conditions.
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setthino
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Homework Statement


We have the autonomous ODE:
[itex]\dot{x} = f(x), x \in \mathbb{R}[/itex]
first we define the following sets:
[itex]E := \{f(x) = 0\}[/itex]
[itex]E^+ := \{f(x) > 0\}[/itex]
[itex]f(x)[/itex] is continuous so [itex]E[/itex] is a closed set and [itex]E^+[/itex] is an open set.
[itex] x_0 \in (x_-,x_+)[/itex] where [itex](x_-,x_+)[/itex] is the connected component of [itex] E^+ [/itex] that contains [itex]x_0[/itex].
In addition we define the function:
[itex] \Psi : (x_-,x_+) \rightarrow \mathbb{R} [/itex]
[itex] \Psi(z) := \int_{x_0}^z \frac{dy}{f(y)} [/itex]
Now the texbook says that if:
[itex]lim_{z\to x_{\pm}} \Psi(z) = l^{\pm}[/itex] is finite, we lose the uniqueness of the solutions and this is quite easy to understand, but what comes after is not :(
It says that we have at least 2 solutions of the equation that at the istant [itex] t = l^{\pm}[/itex] coincide at [itex]x^+[/itex]; what are these? are there others?

The Attempt at a Solution


I struggled for hours and i think one of the solutions maybe the function:

[itex] x(t) = \begin{cases} x_- & t = l^- \\ \Psi^{-1}(t-t_0) & l^- < t < l^+ \\ x^+ & t = l^+ \end{cases} [/itex]

i.e. i extented the solution x(t) = [itex] \Psi^{-1}(t-t_0) [/itex] at the extremes of [itex] (x_-,x_+) [/itex]
but i can't think of other solutions
 
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  • #2


Thank you for your post. It seems like you have a good understanding of the concept of uniqueness of solutions for autonomous ODEs. To answer your question, yes, the solution that you have proposed is one of the possible solutions that satisfies the given initial condition and boundary conditions. However, there could potentially be other solutions as well.

One way to think about this is to consider the behavior of the function \Psi(z) as z approaches x_{\pm}. If the limit is finite, then it means that the function is continuous at those points. This implies that the function \Psi(z) is also continuous on the closed interval [x_-,x_+]. Now, since we know that \Psi(z) is a monotonic function, it must either approach a finite value or diverge to \pm\infty as z approaches x_{\pm}. This is because a continuous monotonic function can only have jump discontinuities, which is not the case here.

So, if the limit is finite, it means that \Psi(z) approaches a finite value at x_{\pm}. This means that the function \Psi(z) is continuous on the closed interval [x_-,x_+], including the endpoints. This, in turn, means that the inverse function \Psi^{-1}(t-t_0) is also continuous on the same interval. Therefore, the solution you have proposed is one possible solution that satisfies the given initial condition and boundary conditions.

However, there could potentially be other solutions as well. For example, if we consider the function \Psi(z) = \frac{1}{2}z^2, then the limit as z approaches \pm\infty is finite, but the inverse function \Psi^{-1}(t-t_0) = \sqrt{2(t-t_0)} has two branches, one for t-t_0 < 0 and one for t-t_0 > 0. Therefore, there are two possible solutions for this case as well.

In general, the existence and uniqueness of solutions for autonomous ODEs depend on the properties of the function f(x). In some cases, we may have a unique solution, while in others, we may have multiple solutions. It is important to carefully analyze the given ODE and its corresponding function f(x) to determine the uniqueness of solutions.

I hope this helps to clarify the concept. If you have any further questions, please
 

1. What is an Autonomous ODE?

An Autonomous ODE (Ordinary Differential Equation) is a type of differential equation where the independent variable does not appear explicitly in the equation. This means that the equation does not change with respect to the independent variable, making it autonomous.

2. What is the non-uniqueness of solutions in Autonomous ODEs?

The non-uniqueness of solutions in Autonomous ODEs refers to the fact that there can be multiple solutions that satisfy the given equation. This is because the equation does not depend on the independent variable, so any constant value can be added to the solution without affecting its validity.

3. How does the initial condition affect the uniqueness of solutions in Autonomous ODEs?

The initial condition, also known as the initial value, is a specific point on the solution curve that is given to help determine the particular solution to an Autonomous ODE. If the initial condition is not provided, there may be multiple solutions that satisfy the equation, leading to non-uniqueness. However, if the initial condition is given, it helps to narrow down the possible solutions and can lead to a unique solution.

4. Can non-uniqueness of solutions be avoided in Autonomous ODEs?

In some cases, it is possible to avoid non-uniqueness of solutions in Autonomous ODEs by adding additional constraints or boundary conditions to the equation. These constraints can help to determine a unique solution that satisfies both the equation and the given conditions.

5. What are the implications of non-uniqueness of solutions in Autonomous ODEs?

The non-uniqueness of solutions in Autonomous ODEs can have significant implications in the field of science and engineering. It can make it difficult to predict the behavior of a system or to find the most suitable solution for a given problem. Therefore, it is crucial to carefully consider the initial conditions and any additional constraints when solving Autonomous ODEs to ensure a unique solution is obtained.

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