Fixed Point Theorem: Necessary & Sufficient Conditions for Convergence

In summary, the question asks for a sufficient and necessary condition on a function f that will guarantee convergence of sequences defined by f. The conversation discusses the spectral radius of the Jacobian of f and considers the case where the Jacobian is invertible and non-invertible. The necessary condition is that the spectral radius of the Jacobian is less than 1, but the sufficient condition is still unclear. The conversation also mentions using the local reverse theorem to show injectivity of f in a neighborhood of a, and choosing a non-stationary sequence to show that the spectral radius of the Jacobian must be less than or equal to 1. However, the case of a non-invertible Jacobian is still uncertain.
  • #1
Calabi
140
2

Homework Statement


Let be ##f \in C^{1}(\mathbb{R}^{n}, \mathbb{R}^{n})## and ##a \in \mathbb{R}^{n}## with ##f(a) = a##. I'm looking for a suffisent and necessar condition on f that for all ##(x_{n})## define by ##f(x_{n}) = x_{n+1}##, then ##(x_{n})## converge.

Homework Equations


##f(a) = a##

The Attempt at a Solution



If all sequences define like this converge it's necessarly on a.
We've got the following result : if A is a complex matrix, then the seuqences define by ##X_{n+1} = AX_{n}## converge if and only if the spectral radius ##\rho{A} < 1##.

So I think we should care about the spectral radius of the jacobian of f.

By whrogting ##f(a + x_{n}) = a + df(a)x_{n} + ||x_{n}||\epsilon(x_{n})## but I get nothing.

Have you got an idea please?

Thank you in advance and have a nice afternoon:oldbiggrin:.
 
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  • #2
It is necessar because if all sequences define by f converge it's in ##a## then We can choose ##(x_{n})## no stationnar if ##df(a)## is invertible : by the local reverse theorem we can find a neighbourhood ##V## of a with ##f_{|V} : V \rightarrow V## is injective then it is enough to choose ##x_{0} \in V - \{a\}##(then if for a certain n ##x_{n} = a## we easily show that necessarly ##x_{0} = a##.). so ##x_{n + 1} = f(a + x_{n} - a) = a + df(a).(x_{n} - a) + ||x_{n} - a||\epsilon(x_{n} - a)##(whith ##\epsilon(x) \rightarrow_{x \rightarrow 0} 0##.). ##\forall \epsilon > 0## we can choose n enough high as ##||x_{n} - a|| < \epsilon## and ##||x_{n+1} - a|| \leq ||x_{n} - a|| ##(indeed, by convergence hypothesis, ##\exists N \in \mathbb{N} | n > N \Rightarrow ||x_{n} - a|| < \epsilon##, then if forall n integer > N we have ##||x_{n+1} - a|| > ||x_{n} - a||## then it doesn't converge in 0 which is absurd.). so ##||\rho(df(a))|| ||x_{n} - a|| \leq |||df(a)||| ||x_{n} - a|| \leq ||x_{n + 1} - a|| + ||x_{n} - a|| ||\epsilon(x_{n} - a)|| \leq ||x_{n} - a|| + ||x_{n} - a|| ||\epsilon(x_{n} - a)||## so as ##(x_{n})## is not stationnar ##||\rho(df(a))|| \leq 1 + \epsilon## so ##||\rho(df(a))|| \leq 1##.
If the jacobian is non invertible I don't know.
 
Last edited:
  • #3
But what about the suffisient condition please? Maybe it's wrong.
 
  • #4
We can choose ##(x_{n})## no stationnar if ##df(a)## is invertible : by the local reverse theorem we can find a neighbourhood ##V## of a with ##f_{|V} : V \rightarrow V## is injective then it is enough to choose ##x_{0} \in V - \{a\}##(then if ##x_{n} = a## we easily show that necessarly ##x_{0} = a##.).
 
  • #5
Could you help me?
 

FAQ: Fixed Point Theorem: Necessary & Sufficient Conditions for Convergence

1. What is the Fixed Point Theorem?

The Fixed Point Theorem is a mathematical concept that states that under certain conditions, a function will have a fixed point, which is a point that does not move when the function is applied repeatedly.

2. What are the necessary conditions for convergence in the Fixed Point Theorem?

The necessary conditions for convergence in the Fixed Point Theorem are that the function must be continuous and the domain of the function must be a closed set.

3. What are the sufficient conditions for convergence in the Fixed Point Theorem?

The sufficient conditions for convergence in the Fixed Point Theorem are that the function must be a contraction mapping, meaning that it must shrink the distance between two points when applied repeatedly, and the domain of the function must be a complete metric space.

4. How is the Fixed Point Theorem used in real-world applications?

The Fixed Point Theorem has various applications in fields such as economics, engineering, and computer science. It is used to prove the existence and uniqueness of solutions in optimization problems, differential equations, and game theory, among others.

5. Can the Fixed Point Theorem be applied to all functions?

No, the Fixed Point Theorem can only be applied to certain types of functions, specifically those that satisfy the necessary and sufficient conditions for convergence. If these conditions are not met, then the theorem does not apply.

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