Evaluate "Proof of Theorem on Real-Valued Function Defined on Interval [0,1]

  • Thread starter uman
  • Start date
  • Tags
    Proof
In summary, This conversation is about a proposed solution to Problem 2-13 in Apostol's "Mathematical Analysis." The person who came up with the solution is unsure if it is the best approach and welcomes feedback on their proof and writing style. The theorem states that if a real-valued function on the interval [0,1] has a certain property, then a certain set is countable. The notation [x] denotes the greatest integer less than x and S_T denotes the set of real numbers in [0,1] that satisfy a specific condition. The proof is done by contradiction, assuming that the set in question is uncountable and showing that this leads to a contradiction with the theorem. The proof for one
  • #1
uman
352
1
Discussion: This is a proposed solution to problem 2-13 in Apostol's "Mathematical Analysis". The method came to me after a lot of thought but it seems kind of bizarre and I'm wondering if there's a better way to prove this. I especially think the last part could be made more rigorous/explicit.

Also, I'm not even sure my proof is valid! Tell me what you guys think.

Also feel free to critique writing style, minor errors, choice of variable names, etc...

THEOREM: Let [tex]f[/tex] be a real-valued function defined on the interval [tex][0,1][/tex] with the following property: There exists a positive real number [tex]M[/tex] such that for any finite collection [tex]{x_1,\ldots,x_n}[/tex] of elements of [tex][0,1][/tex], [tex]|f(x_1)+\cdots +f(x_n)|\leq M[/tex]. Let [tex]S[/tex] denote the set of all real numbers [tex]0\leq x \leq 1[/tex] such that [tex]f(x)\not=0[/tex]. Then S is countable.

NOTATION: [tex][x][/tex] denotes the greatest integer less than [tex]x[/tex]. [tex]S_T[/tex] denotes the set of all real numbers [tex]x[/tex] in [tex][0,1][/tex] such that [tex]f(x) \epsilon T[/tex].

PROOF: We prove the statement by contradiction. Assume [tex]S[/tex] is uncountable. Then either [tex]S_{(-\infty,0)}[/tex] or [tex]S_{(0,+\infty)}[/tex] is uncountable (or both). We will prove the theorem for the case that [tex]S_{(0,+\infty)}[/tex] is uncountable. The proof for the other case is entirely analogous.

The fact that [tex]S_{(0,+\infty)}[/tex] is uncountable implies that either [tex]S_{(0,1)}[/tex] is uncountable or [tex]S_{[1,+\infty)}[/tex] is uncountable. In the latter case, we may simply choose [tex][M]+1[/tex] members of [tex]S_{[1,+\infty)} \{s_1,\ldots,s_{[M]+1}\}[/tex]. Then [tex]f(s_1)+\cdots+f(s_{[M]+1})>M[/tex], contradicting the hypothesis of the theorem.

If on the other hand [tex]S_{(0,1)}[/tex] is uncountable, then there must be some [tex]r[/tex] such that [tex]0<r<1[/tex] and [tex]S_{(r,1)}[/tex] is an infinite set. After we have proven this statement, we may choose [tex][\frac{M}{r}]+1[/tex] elements of some such set. The sum of the values of [tex]f[/tex] given these arguments will be greater than [tex]M[/tex], again contradicting our original assumption.

Assume that no such [tex]r[/tex] exists. Then we may assign a positive integer to any [tex]x[/tex] in [tex]S_{(0,1)}[/tex] by simply choosing [tex]r[/tex] such that [tex]0<r<x[/tex] and enumerating the elements in the finite set [tex]S_{(r,1)}[/tex]. This contradicts the fact that [tex]S_{(0,1)}[/tex] is uncountable. As noted earlier, this completes the proof for the case that [tex]S_{(0,+\infty)}[/tex] is uncountable. The other case is proved in exactly the same way.
 
Physics news on Phys.org
  • #2
:-( nobody?
 
  • #3
what the hell is T
 
  • #4
That should read "by choosing [tex]r[/tex] such that [tex]0<r<f(x)[/tex]. Here's a more explicit version of the last bit (I hope):

Assume that no such [tex]r[/tex] exists. Now consider the function [tex]n[/tex] defined on [tex]S_{(0,1)}[/tex] as follows: To evaluate [tex]n(x)[/tex], choose some [tex]r[/tex] such that [tex]0<r<f(x)[/tex] and such that there is no [tex]y[/tex] such that [tex]r<f(y)<f(x)[/tex] or such that [tex]f(y)=f(x)[/tex] and [tex]y<x[/tex]. Then let [tex]n(x)[/tex] be the number of elements of [tex]S_{(r,1)}[/tex]. If [tex]n(x_0)=n(x_1)[/tex], then clearly [tex]x_0=x_1[/tex], so [tex]n[/tex] is an injective function from [tex]S_{(0,1)}[/tex] to the set of positive integers, contradicting the assumption that it is uncountable.
 
Last edited:

1. What is a proof of theorem on a real-valued function?

A proof of theorem on a real-valued function is a logical argument that demonstrates the truth of a statement about a real-valued function. It is a way of showing that a particular statement or property holds for all values of the function within a given interval.

2. Why is it important to evaluate a proof of theorem on a real-valued function?

Evaluating a proof of theorem on a real-valued function allows us to determine the validity and correctness of the statement or property being claimed for the function. It also helps us to understand the behavior and properties of the function in a given interval.

3. How is a proof of theorem on a real-valued function constructed?

A proof of theorem on a real-valued function is typically constructed using mathematical reasoning and logical arguments. It may involve the use of definitions, axioms, and previously proven theorems to support the claim being made about the function.

4. What are some common techniques used in evaluating a proof of theorem on a real-valued function?

Some common techniques used in evaluating a proof of theorem on a real-valued function include direct proof, proof by contradiction, and proof by induction. These techniques involve using different types of logical arguments and mathematical tools to demonstrate the truth of the statement being made about the function.

5. Can a proof of theorem on a real-valued function be verified or disproven?

Yes, a proof of theorem on a real-valued function can be verified or disproven by other mathematicians through peer review and further analysis. If the proof follows sound logic and is supported by evidence, it can be considered valid. However, if errors or flaws are found in the proof, it can be disproven and further investigation may be needed.

Similar threads

Replies
1
Views
948
Replies
5
Views
400
Replies
5
Views
1K
Replies
18
Views
2K
Replies
2
Views
797
Replies
4
Views
759
Replies
4
Views
887
Replies
2
Views
144
Replies
7
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
6
Views
1K
Back
Top