Real Analysis: Proving f is a Constant Function

Click For Summary
SUMMARY

The discussion centers on proving that a function f defined on the real line is constant under the condition |f(x)-f(y)| ≤ |x-y|² for all x, y in R. Participants explored proof techniques including proof by contradiction and the application of the Mean Value Theorem. The consensus is that by demonstrating continuity and showing that the derivative f'(a) equals zero for every point a, one can conclude that f is a constant function. The approach of splitting the interval into n equal parts was also highlighted as a valid method to establish continuity.

PREREQUISITES
  • Understanding of real analysis concepts, specifically continuity and differentiability.
  • Familiarity with the Mean Value Theorem and its implications.
  • Knowledge of inequalities and their applications in proofs.
  • Basic skills in constructing mathematical proofs, particularly proof by contradiction.
NEXT STEPS
  • Study the Mean Value Theorem and its applications in real analysis.
  • Learn about uniform continuity and its relationship to differentiability.
  • Explore advanced proof techniques in real analysis, including epsilon-delta definitions.
  • Investigate the implications of bounded differences in function behavior.
USEFUL FOR

This discussion is beneficial for students of real analysis, mathematicians focusing on function properties, and educators seeking to enhance their understanding of continuity and differentiability in mathematical proofs.

mglaros
Messages
10
Reaction score
1

Homework Statement



Let f be any function on the real line and suppose that: |f(x)-f(y)|<=|x-y|^2 for all x,y in R. Prove that f is a constant function. Note: "<=" reads "less than or equal to"

Homework Equations





The Attempt at a Solution



I have tried proof by contradiction, it seems to be the most obvious route in proving this statement. I started by assuming that there exists x,y in the domain of the function f(x) such that f(x) is not equal to f(y). I wasn't really able to proceed much further from there. Any help towards finishing this proof or perhaps a different approach would be greatly appreciated.
 
Physics news on Phys.org
can you use derivatves?

what is the magnitude of the derivative as x->y?
 
lanedance said:
can you use derivatves?
what is the magnitude of the derivative as x->y?
It's not given that the function is even continuous, let alone differentiable, so we can't assume that f' exists.
 
Mark44 said:
It's not given that the function is even continuous, let alone differentiable, so we can't assume that f' exists.

You could try and prove f' exists. Or you could try and split the interval between x and y into 2^n parts and see what the inequality tells you as n->infinity.
 
fair bump, I thought uniform continuity & differentiablilty would follow reasonably easy from the definition, though i do like Dick's 2nd suggestion
 
Last edited:
Spliting the interval into n equal parts should suffice.
 
How's this?

Let 0&lt;|x-a|&lt;\mathrm{min}(1,\varepsilon). From this, we have that 0\leq|f(x)-f(a)|\leq|x-a|^2&lt;|x-a|&lt;\varepsilon. This proves that f is continuous.

From the defining property of f, we know that,

\frac{|f(x)-f(a)|}{|x-a|} \leq |x-a|

Since f is continuous, evaluating the limit as x \to a, we find that f&#039;(a) = 0 which proves that f is a constant function.

I realize this is really rough, but could this approach be used to prove the initial problem? It's real late nowso I'm sure that it's riddled with errors.
 
Well yes for this you can show by definition that |f'(a)| = 0 for every a due to mean value theorem. You can run into troubles if you tried applying this to say, finding isometries on R. Obviously you only need to show differentiability, but anytime you see |f(x)-f(y)| bounded by something involving |x-y|, it's going to be continuous.
 
I think your proof is fine. I remember doing this problem last year and I think that's basically the solution I used; there may have been some subtlety I overlooked, but I don' think so.
 

Similar threads

  • · Replies 17 ·
Replies
17
Views
3K
Replies
20
Views
4K
Replies
8
Views
2K
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K