Does Continuity of F Affect the Maximal Solution Theorem?

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In summary, the conversation discusses a theorem about continuous and locally Lipschitzian functions and their role in the uniqueness and existence of solutions to differential equations. The question is raised about whether the same results hold if F is only continuous, to which the response is that the locally Lipschitzian property is crucial for the uniqueness of the solution. Without it, the maximum solution may not diverge in the same way.
  • #1
Calabi
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Hello, I know a theorem that say that if ##F : \mathbb{R} \times \Omega \rightarrow E## is continuous and local lispchitziann in is seconde set value(where ##\Omega## is an open of a Banach space E.). we have that the maximum solution ##(\phi, J)##(where J is an open intervall and ##\phi : J \rightarrow \Omega## is ##C^{1}## .). of ##\phi'(t) = F(t, \phi(t))## diverge if ##sup(J) < + \infty##(##lim_{t \rightarrow sup(J)} \phi(t) = +\infty##.).

Is there the same results if F is just continuos please?

Thank you in advance and have a nice aftrenoon:oldbiggrin:.
 
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Hello and thanks. In fact I recently knew that the local lipschitz condition is necessar for the uniqueness of a local solution to a diffential equation. I can give more if you want.
 
  • #3


Hi there!

It's great that you know a theorem about continuous and locally Lipschitzian functions! To answer your question, the same result may not hold if F is only continuous. The key here is the locally Lipschitzian property, which guarantees the existence of a unique solution for each initial condition. Without this property, the solution may not exist or may not be unique, so it's possible that the maximum solution may not diverge in the same way.

I hope that helps! Have a great afternoon as well. 😃
 

Related to Does Continuity of F Affect the Maximal Solution Theorem?

What is the Maximal Solution Theorem?

The Maximal Solution Theorem is a mathematical principle that states that for any given system of equations, there exists a solution that is maximal in a certain sense. This means that it is the largest or most complete solution possible, and there is no other solution that can surpass it.

How is the Maximal Solution Theorem used in mathematics?

The Maximal Solution Theorem is used in various areas of mathematics, including linear algebra, differential equations, and optimization problems. It allows us to find the best solution to a problem, which can be useful in real-world applications such as engineering, economics, and physics.

What are the key assumptions of the Maximal Solution Theorem?

The Maximal Solution Theorem relies on two key assumptions: the existence of a solution and the existence of a maximal solution. These assumptions are necessary for the theorem to hold and are typically satisfied in most mathematical problems.

How does the Maximal Solution Theorem differ from the Fundamental Theorem of Calculus?

While both the Maximal Solution Theorem and the Fundamental Theorem of Calculus are fundamental principles in mathematics, they have different purposes. The Maximal Solution Theorem is used to find the best solution to a problem, while the Fundamental Theorem of Calculus is used to evaluate definite integrals.

Are there any limitations to the Maximal Solution Theorem?

The Maximal Solution Theorem is a powerful tool in mathematics, but it does have some limitations. It may not always be possible to find a maximal solution, and even if a maximal solution exists, it may be difficult or impossible to determine it. Additionally, the theorem only applies to continuous functions and may not hold for discontinuous functions or in certain special cases.

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