Real Analysis: Continuity & Intervals

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SUMMARY

The discussion focuses on proving that the image of a continuous function defined on an interval is also an interval. The proof is structured in two cases: first, for a compact interval [a,b], where the supremum and infimum of the function's image are established using the intermediate value theorem; second, for an open interval (a,b), which is shown to be an infinite union of closed sets, allowing the identification of bounds for the image. The proof is confirmed to be valid for general intervals, including half-open intervals, by leveraging the properties of continuity and the intermediate value theorem.

PREREQUISITES
  • Understanding of continuous functions and their properties
  • Familiarity with the intermediate value theorem
  • Knowledge of compact sets and their implications in real analysis
  • Ability to work with supremum and infimum in mathematical proofs
NEXT STEPS
  • Study the implications of the intermediate value theorem in various contexts
  • Explore proofs involving compactness in real analysis
  • Learn about different types of intervals and their properties in mathematical analysis
  • Investigate continuity and differentiability in the context of real-valued functions
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Students of real analysis, mathematics educators, and anyone interested in understanding the properties of continuous functions and their images within different types of intervals.

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Homework Statement


If the domain of a continuous function is an interval, show that the image is an interval.



Homework Equations


Theorem from book: f is a cont. function with compact domain D, then f is bounded and there exists points y and z such that f(y) = sup{ f(x) | x ∈ D} and f(z) = inf{ f(x) | x ∈ D}
The intermediate value theorem.


The Attempt at a Solution



Case 1: D=[a,b]
Since D is compact and by hypothesis, f is continuous we know that there exist points y and z in D such that f(y) = sup{ f(x) | x ∈ D} and f(z) = inf{ f(x) | x ∈ D}. By definition of sup and inf these are the greatest and least points of the image of f. And so, by the intermediate value theorem, we know that any t in between f(z) < t < f(y), there exists an x in D such that f(x)=t. So, we can write the interval of the image as [f(z),f(y)].

Case 2: D=(a,b)
We can write (a,b) as an infinite union of closed sets. For example ∪[a+1/m, b-1/m] from m=1 to infinity.
By the previous case we know that each [a+1/m, b-1/m] attains a sup and inf value for all 1/m. Now we can simply take the max( sup{ f(x) | x ∈ [a+1, b-1]}, sup{ f(x) | x ∈ [a+(1/2), b-(1/2)]}, sup{ f(x) | x ∈ [a+(1/3), b-(1/3)}, ... ) and call it p. Similarly we can take the min( inf{ f(x) | x ∈ [a+1, b-1]}, inf{ f(x) | x ∈ [a+(1/2), b-(1/2)]}, inf{ f(x) | x ∈ [a+(1/3), b-(1/3)}, ... ) and call it q. This will give us an open interval in which all values of the image lie. And so, the interval of the image of f is (q,p).

Is this the right way to prove this? It seems right to me but I also have my doubts haha. Thanks!
 
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What about half open intervals?
 
Kreizhn said:
What about half open intervals?

Suppose for a second that I did not need to worry about half open intervals is my above proof right then?

Now suppose I do need it in a more general case. What about this.

Given any interval besides the trivial case [x,x], there exits two points, y and z, within the interval such that y < z

So, using these two points we know that there are infinitely many p's within y < p < z. By the definition of continuity we can find points, all in the image of the function such that f(y)=a and f(z)=b, using the intermediate value theorem we know that for any k in between a and b we can find points within y and z such that f(p)=k for all k in a<k<b and for some p in the domain. Thus the image of f is an interval.
 

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