Equivalence of continuity and boundedness

In summary, the author is stuck on a theorem and needs some help. The theorem states that for any continuous linear operator A, there exists a value \delta > 0 such that for all x in a normed space X, the inequality ||Ax-A0|| < 1 holds. The author has found a way to show that the operator T is continuously uniform on X if A is bounded, but is still looking for a way to show that T is continuously bounded for all x in X.
  • #1
radou
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I need a push with the following theorem, thanks in advance.

Let X and Y be normed spaces, and A : X --> Y a linear operator. A is continuous iff A is bounded.

So, let A be continuous. Then it is continuous at 0, and hence, for [itex]\epsilon = 1[/itex] there exists [itex]\delta > 0[/itex] such that for all x from X such that ||x - 0|| = ||x||<[itex]\delta[/itex], we have ||Ax - A0|| = ||Ax|| < 1. This is where I'm stuck.

For the other direction, let A be bounded. So, there exists some M > 0 such that ||Ax|| [itex]\leq[/itex] M, for all x in X. No further inspiration.
 
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  • #2
You almost have them.

Let y be in X. Then ||Ay|| = ||A([itex]\frac{\delta ||y||}{\delta ||y||} y [/itex])||. Now use the fact that A is linear. And what do we know about the norm of y/||y||?

For the other direction, the inequality you want to use is ||Ax|| <= M||x||.
 
  • #3
morphism said:
You almost have them.

Let y be in X. Then ||Ay|| = ||A([itex]\frac{\delta ||y||}{\delta ||y||} y [/itex])||. Now use the fact that A is linear. And what do we know about the norm of y/||y||?

For the other direction, the inequality you want to use is ||Ax|| <= M||x||.

morphism, thanks. I just figured it out.

For the first one, we simply need to constuct a vector with a norm lesser than [itex]\delta[/itex]. So, for some non-zero x, v = [itex]\frac{\delta x}{2 ||x||}[/itex], and, abviously, ||v|| = [itex]\frac{\delta}{2} < \delta[/itex]. Hence ||Av||< [itex]\epsilon[/itex]. Further on, we have ||Av||= [itex]\frac{\delta ||Ax||}{2||x||}< \epsilon[/itex], and hence ||Ax||<[itex]\frac{2\epsilon ||x||}{\delta}[/itex]. This holds for any non-zero x, and ||Ax||[itex]\leq \frac{2\epsilon ||x||}{\delta}[/itex] holds for any x, so A is bounded.

Assume A is bounded, and let [itex]\epsilon > 0[/itex] be given. For any x', x'' in X, there exists some k > 0 such that ||A(x' - x'')|| = ||Ax' - Ax''|| < k||x'-x''||. Now, if we simply put [itex]\delta = \frac{\epsilon}{k}[/itex], we have the implication [itex]||x' - x''|| < \delta \Rightarrow ||Tx' - Tx''||<\epsilon[/itex]. Thus, T is continuous as x'' in X. Even better, this shows that T is uniformly continuous on X !

(rubs sweat off)
 

1. What is the definition of "equivalence of continuity and boundedness"?

The equivalence of continuity and boundedness is a mathematical concept that states that a function is continuous if and only if it is bounded. This means that a function is continuous if it does not have any sudden jumps or breaks in its graph, and it is bounded if it does not have any values that go to infinity.

2. How is continuity related to boundedness?

Continuity is related to boundedness because a function must be continuous in order to be bounded. This means that if a function has no sudden jumps or breaks in its graph, then it also does not have any values that go to infinity, making it bounded.

3. What is an example of a function that is continuous but not bounded?

An example of a function that is continuous but not bounded is f(x) = sin(x) on the interval [0, infinity). This function is continuous because it has no sudden jumps or breaks in its graph, but it is not bounded because its values oscillate between -1 and 1 as x approaches infinity.

4. Can a function be bounded but not continuous?

No, a function cannot be bounded but not continuous. This is because if a function is bounded, it means that its values do not go to infinity. In order for a function to have values that approach infinity, it must have sudden jumps or breaks in its graph, which would make it discontinuous.

5. How is the equivalence of continuity and boundedness useful in real-world applications?

The equivalence of continuity and boundedness is useful in real-world applications because it allows us to determine if a function is continuous or not by simply checking if it is bounded. This is especially helpful in fields such as physics and engineering, where continuous functions are often used to model real-world phenomena.

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