Undergrad Hölder Continuous Maps from ##R## to a Metric Space

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SUMMARY

The discussion focuses on Hölder continuous maps from the real numbers to a metric space, specifically addressing the condition that if a function \( f : \mathbb{R} \to X \) satisfies \( d(f(x), f(y)) \le |x - y|^\gamma \) for \( \gamma > 1 \), then \( f \) must be constant. The hint suggests dividing the interval \([a, b]\) into smaller segments to analyze the implications of \( f(a) \neq f(b) \). This leads to the conclusion that such a function cannot vary, reinforcing the properties of Hölder continuity in metric spaces.

PREREQUISITES
  • Understanding of metric spaces and their properties
  • Familiarity with Hölder continuity and its mathematical implications
  • Basic knowledge of real analysis and functions
  • Experience with interval partitioning techniques in proofs
NEXT STEPS
  • Study the properties of Hölder continuous functions in detail
  • Explore the implications of continuity in metric spaces
  • Learn about the concept of uniform continuity and its relationship to Hölder continuity
  • Investigate examples of non-constant functions and their Hölder conditions
USEFUL FOR

Mathematicians, students of real analysis, and anyone interested in the properties of continuous functions in metric spaces will benefit from this discussion.

Euge
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Let ##\gamma > 1##. If ##(X,d)## is a metric space and ##f : \mathbb{R} \to X## satisfies ##d(f(x),f(y)) \le |x - y|^\gamma## for all ##x,y\in \mathbb{R}##, show that ##f## must be constant.
 
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Hint: If ##a<b## with ##f(a)\neq f(b)##, chop up the interval ##[a,b]## into many small pieces.
 
Since this is a POTW, if you have a solution, @Infrared, please don't hesitate to post it! :-)
 
Oh I generally don't give solutions here because I'm past the "university student" level,

Without loss of generality, I just check that ##f(0)=f(1)## to make the algebra nicer.
Let ##0=t_0<t_1<\ldots<t_n=1## be the partition ##t_k=\frac{k}{n}.## The given condition is ##d(f(t_i),f(t_{i+1})\leq 1/n^{\gamma}.## Summing over all consecutive ##t_i## and using the triangle inequality gives

$$d(f(0),f(1))\leq\sum_{k=0}^{n-1} d(f(t_k),f(t_{k+1}))\leq \frac{n}{n^{\gamma}}=n^{1-\gamma}.$$

As ##n\to\infty,## the right term goes to 0, so the distance between ##f(0)## and ##f(1)## has to be zero too.
 

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