Generalization of Banach contraction principle

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SUMMARY

The discussion centers on the generalization of the Banach Fixed Point Theorem within the context of complete metric spaces. It establishes that if a function \( f: X \to X \) satisfies the condition \( d(fx, fy) \leq \beta(d(x, y)) d(x, y) \), where \( \beta \) is a decreasing function mapping \( \mathbb{R}^+ \) to \( [0, 1) \), then \( f \) possesses a unique fixed point. The participants confirm that this condition is indeed a broader case than the standard Banach contraction principle, as it allows for non-constant functions \( \beta(t) \) while still ensuring the existence of fixed points.

PREREQUISITES
  • Understanding of complete metric spaces
  • Familiarity with fixed point theorems
  • Knowledge of contraction mappings
  • Basic concepts of real-valued functions
NEXT STEPS
  • Study the implications of the Banach Fixed Point Theorem in various mathematical contexts
  • Explore the properties of decreasing functions and their applications in metric spaces
  • Investigate other generalizations of fixed point theorems beyond Banach's principle
  • Learn about the role of continuity in the context of fixed point theorems
USEFUL FOR

Mathematicians, researchers in functional analysis, and students studying fixed point theory will benefit from this discussion, particularly those interested in the generalizations of classical theorems in metric spaces.

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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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.
 

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