Lp-Spaces: Proving (a) & (b) for Continuous f & Generalizing (a)

  • Thread starter Hjensen
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In summary, the lecturer proved that if a function is continuous and has a closed range, then the range of the inverse function is also closed.
  • #1
Hjensen
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I'm taking a course on Banach spaces and our lecturer proved the following result:

Let f be a continuous, complex-valued function on [0, 1] and define a linear operator [tex]M_f[/tex] on [tex]L^2[0,1][/tex] by [tex](M_f g)(x)=f(x)g(x)[/tex]. Then
(a) [tex]M_f[/tex] is bounded and [tex]||M_f||=||f||_{\infty}[/tex].
(b) Suppose that [tex]M_f[/tex] is one-to-one. Then the range of [tex]M_f[/tex] is closed if and only if [tex]f(x)=0[/tex] for all x∈[0,1]. In that case [tex]M_f[/tex] is one-to-one and
onto, and the inverse map is bounded.

I have two questions related to this result. First, is there any condition I can impose on f in order to make sure that the operator is always one-to-one, so (b) holds? I feel this would make the result nicer, but I can't think of anything that seems to work.

More importantly, the professor said (without proof - more as a passing remark) that you can generalize (a) to the case with f not necessarily continuous but in [tex]L^{\infty}[0,1][/tex]. Then he noted that the same isn't true for (b), but he didn't go into detail. Can anyone think of a concrete example as to why this generalization would not work?

I'd appreciate any help :).
 
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  • #2
First, I'd like to say that b is quite a negative result. It proves that [tex]M_f[/tex] almost never has a closed range and is almost never bijective.

As for your one-to-one question. I conjecture that [tex]M_f[/tex] is one-to-one iff the set of zeroes of f has measure 0. For example, if f never becomes zero, then [tex]M_f[/tex] is injective and thus doesn't have closed range.

b is not true for [tex]f\in L^\infty[0,1][/tex]. Consider the function

[tex]f(x)=\left\{\begin{array}{cc} 1 & x=0\\ 0 & x\neq 0\end{array}\right.[/tex]

Then the function is not zero, but does have closed range.
A nice question is whether b holds if you replace "f=0" with "f=0 almost everywhere"?
 
  • #3
Thanks a lot for your reply. I understand your arguing, but do you think a formal proof would require the continuity condition? I am curious as to whether this could be generalized to the case of discontinuous functions on [tex]L^{\infty}[0,1][/tex] as well.

And you're absolutely right. It's not the most rewarding result I've ever seen either.
 
  • #4
I am sorry, the function f I provided is not good, since f=0 a.e., thus f=0 in [tex]L^\infty[0,1][/tex].

A better function would be

[tex]
f(x)=\left\{\begin{array}{cc} 1 & x\leq 1/2\\ 0 & x> 1/2\end{array}\right.
[/tex]

That said, I think that the proof of b does depend on the continuity of f...
 
  • #5
Oh absolutely, and it does. Perhaps I should've been more specific with with my question. The proof I was referring to was a formal proof of the idea that [tex]M_f[/tex] is one-to-one iff the set of zeroes of f has measure 0. Could this be done without the notion of continuity of f? I'm kinda guessing the answer is yes, but I'm not sure how one would do it.
 
  • #6
Well, let N be the set where f vanished.
Assume that N has measure 0. Take a g such that [tex]M_f(g)=0[/tex]. Then f(x)g(x)=0 for all x. Thus we have that

[tex]f(x)\neq 0~\Rightarrow~g(x)=0[/tex]

So, if f only becomes 0 on a set of measure 0, this yields that g is only nonzero on a set of measure 0. Thus g=0 in [tex]L^2[0,1][/tex].

On, the other hand, assume that N doesn't have measure 0. Take g the characteristic function of N, then g is not the zero function. But [tex]M_f(g)=0[/tex].
 
  • #7
Thanks a lot for your time and effort. I'm pretty sure I get it.On a different, but somewhat related note, you know how the kernel of a continuous projection P=P² (or any other continuous linear operator) is closed? I seem to remember a very similar result for the range/image of a continuous projection? Meaning it's closed. Can you confirm this? I don't need a proof, it's just means to an end, and algebra isn't exactly my passion. :P
 
  • #8
I think a linear operator is continuous iff it's kernel is closed.
Let f be continuous, then the inverse image of any closed set is closed. Thus [tex]f^{-1}(0)[/tex] is closed since {0} is closed.
The inverse implication is a lot less trivial (and I'm not 100% certain that it's true).
 
  • #9
Yes, but is the range of a continuous projection not closed in general? Or maybe it has to be from a space into the same space? The kernel remark was just for perspective because I remembered that result.
 
  • #10
Ah yes, I understand. Indeed, the range of a continuous projection operator is always closed...
 
  • #11
That's what I thought. I thank you for all your patience and insight. I'm just a chemist trying to make it in the world of physics, so I salute people like you. :)
 
  • #12
micromass said:
I think a linear operator is continuous iff it's kernel is closed.
Let f be continuous, then the inverse image of any closed set is closed. Thus [tex]f^{-1}(0)[/tex] is closed since {0} is closed.
The inverse implication is a lot less trivial (and I'm not 100% certain that it's true).
It is true for linear functionals on any topological vector space.
 
  • #13
I wonder if somebody would care to present a proof of result (b) in Hjensen's original post. I have never seen that result before and I am probably missing something obvious but I cannot seem to make sense of it. It looks like one of those results that follows from the open mapping theorem or something similar, but I may be wrong.
 
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  • #14
Edit: False alarm. I thought I had figured it out, but I hadn't. I would still like to see a proof if Hjensen or anyone else could be bothered.
 
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FAQ: Lp-Spaces: Proving (a) & (b) for Continuous f & Generalizing (a)

What are Lp-spaces?

Lp-spaces are mathematical function spaces used to measure the size of a function. They are defined as the set of all functions for which the p-norm is finite, where p is a positive real number. These spaces are commonly used in functional analysis and measure theory.

What is the significance of proving (a) and (b) for continuous f in Lp-spaces?

Proving (a) and (b) for continuous f in Lp-spaces is important because it helps to establish the properties of these function spaces. These properties are useful in various areas of mathematics, such as analysis, probability, and statistics. They also provide a foundation for understanding more complex mathematical concepts.

How is continuity defined in Lp-spaces?

In Lp-spaces, continuity is defined as the property of a function where small changes in the input result in small changes in the output. This means that for a continuous function f, when the input x approaches a certain value, the output f(x) will also approach a certain value. This definition holds for all values of p greater than or equal to 1.

What does it mean to generalize (a) for Lp-spaces?

To generalize (a) for Lp-spaces means to extend the concept of continuity to all functions in the Lp-space, not just continuous functions. This means that the definition of continuity is expanded to include functions that may have discontinuities, but still satisfy certain criteria in the Lp-space.

How are Lp-spaces used in real-world applications?

Lp-spaces have many practical applications in fields such as physics, engineering, and economics. In physics, they are used to measure the energy and momentum of particles in quantum mechanics. In engineering, they are used to analyze signals and images in digital processing. In economics, they are used to measure the utility and welfare of individuals in decision-making processes.

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