Generalization of Banach contraction principle

In summary, the Banach contraction principle, also known as the Banach fixed point theorem, guarantees the existence and uniqueness of a fixed point for certain types of functions. It has been generalized in various ways, allowing for its application in a wider range of contexts and problems. Some applications of this generalization include proving the existence and convergence of solutions to differential equations, optimization problems, and game theory models. However, it is not a necessary condition for the existence of fixed points and has its limitations, requiring careful consideration of its conditions and assumptions before application.
  • #1
ozkan12
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Let $\left(X,d\right)$ be a complete metric space and suppose that $f:X\to X$ satisfies

$d\left(fx,fy\right)\le\beta\left(d\left(x,y\right)\right)d\left(x,y\right)$ for all x,y $\in$ X where $\beta$ is a decreasing function on ${R}^{+}$ to $[0,1)$. Then $f$ has a unique fixed point.

The mapping $d\left(fx,fy\right)\le\beta\left(d\left(x,y\right)\right)d\left(x,y\right)$ more general than banach contraction...How this happens ? In my opinion, If we take $\beta\left(t\right)=c$, $c\in [0,1)$ we get banach principle...İs this true ? Can you help me ? Thank you for your attention...Best wishes...
 
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  • #2
ozkan12 said:
Let $\left(X,d\right)$ be a complete metric space and suppose that $f:X\to X$ satisfies

$d\left(fx,fy\right)\le\beta\left(d\left(x,y\right)\right)d\left(x,y\right)$ for all x,y $\in$ X where $\beta$ is a decreasing function on ${R}^{+}$ to $[0,1)$. Then $f$ has a unique fixed point.

The mapping $d\left(fx,fy\right)\le\beta\left(d\left(x,y\right)\right)d\left(x,y\right)$ more general than banach contraction...How this happens?

A mathematician somewhere wanted to know if he could generalize the Banach Fixed Point Theorem - still get guaranteed fixed points while relaxing the hypotheses of the theorem.

In my opinion, If we take $\beta\left(t\right)=c$, $c\in [0,1)$ we get banach principle...İs this true?

Yes - so $d\left(fx,fy\right)\le\beta\left(d\left(x,y\right)\right)d\left(x,y\right)$ is more general than a contraction, because $\beta(t)$ wouldn't need to be constant, necessarily.
 
  • #3


Hi there,

Yes, you are correct. This mapping is more general than the Banach contraction principle. The Banach contraction principle states that if we have a mapping $f: X \to X$ on a complete metric space $X$ such that $d\left(fx,fy\right)\le k d\left(x,y\right)$ for some constant $k<1$, then $f$ has a unique fixed point. This is a special case of the mapping given in the post, where $\beta\left(t\right)=k$.

However, in the general case, $\beta$ can take on any value in the interval $[0,1)$, not just a constant. This allows for a wider range of mappings that still satisfy the condition, and therefore have a unique fixed point. So, in a sense, this mapping is a more general version of the Banach contraction principle.

I hope this helps clarify things for you. Let me know if you have any further questions. Best wishes to you as well!
 

FAQ: Generalization of Banach contraction principle

1. What is the Banach contraction principle?

The Banach contraction principle, also known as the Banach fixed point theorem, is a fundamental theorem in mathematics that guarantees the existence and uniqueness of a fixed point for certain types of functions. It states that if a mapping from a complete metric space to itself has a contraction factor less than 1, then it has a unique fixed point.

2. How is the Banach contraction principle used in generalizations?

The Banach contraction principle has been generalized in various ways, such as allowing for non-complete metric spaces, weakening the contraction factor requirement, or considering a family of mappings instead of a single mapping. These generalizations allow for the application of the principle in a wider range of contexts and problems.

3. What are some applications of the generalization of Banach contraction principle?

The generalization of Banach contraction principle has various applications in mathematics, engineering, and economics. It is used to prove the existence and convergence of solutions to differential equations, optimization problems, and game theory models. It is also a key tool in the study of fractals and chaos theory.

4. Is the generalization of Banach contraction principle a necessary condition for the existence of fixed points?

No, the generalization of Banach contraction principle is not a necessary condition for the existence of fixed points. There are other fixed point theorems, such as the Brouwer fixed point theorem and the Kakutani fixed point theorem, that do not require the contraction factor condition and can be applied in different contexts.

5. Are there any limitations to the generalization of Banach contraction principle?

Like any mathematical theorem, the generalization of Banach contraction principle has its limitations. It may not be applicable in every situation, and the specific conditions and assumptions of the generalization must be carefully considered before applying it. Additionally, the proof of a fixed point using this principle may not always provide a constructive method for finding the fixed point.

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