Lebesgue space Q & suggested readings

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In summary, the conversation involves a request for short reading suggestions on understanding L space or L2 space, specifically for solving a problem involving the range of μ for |x|^μ in L2(-1,1). The response includes a brief explanation of the definition of L2 and a recommendation for two books that explain Lebesgue integration and functional analysis, which are necessary for understanding L2. The speaker also mentions that the technicalities of L2 may not be necessary for studying quantum mechanics.
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tigigi
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I wonder if anyone can suggest any short reading about basic understanding of L space or L2 space (not wikipedia) I know nothing about it, googled around, but doesn't seem to find things helping me solve some problems.

First, there's this question: For what range of μ is |x|^μ in L2(-1,1)
I thought the def for L2( [a,b]) = {x:(a,b) -> c | x2 is finite}, x2 = integrate x(t)^2 over t from a to b
but it's confusing, where's t? Also, it doesn't seem to be able to solve this problem

Any suggestion? Thanks.
 
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Actually, that is how you solve the problem. You just seem not to have pursued it to the finish line. Lack of knowledge of L^2 doesn't seem to be the issue in this case.

The definition is actually that the square is Lebesgue integrable, which can take you into the deep waters of measure theory, but Riemann integrable implies Lebesgue integrable, which is good enough for your problem. If you want to learn measure theory, I like A Radical Approach to Lebesgue's Theory of integration, but that assumes some comfort level with epsilons and deltas from introductory real analysis. If you really want to know what L^2 is, you have to come to terms with that stuff. I don't know of any really short reading.
 
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Here are two books I have that will explain all, and much more besides, if you have calculus knowledge equivalent to US Calculus BC, IB Math HL, first year university calculus etc:
http://matrixeditions.com/UnifiedApproach4th.html
http://matrixeditions.com/FunctionalAnalysisVol1.html

The reviews are correct - simply superb.

Read the Calculus and Linear Algebra book (it explains Lebesgue integration, Fubini's theorem etc), then Functional Analysis.

I was very fortunate in my undergrad degree studying two subjects that covered that material, but many degrees don't. Which IMHO is a pity. As an aside my old school no longer even teaches them nor even requires people to do their epsilonics - which of course I believe is a backward step. But to be fair students hated analysis and virtually no-one took them in later years.

That said if your primary interest is QM such technicalities aren't really required to start with - you can learn them later if its mathematical foundations appeals. And if you do that then Rigged Hilbert Spaces, rather than just L2 Hilbert spaces will be required:
http://physics.lamar.edu/rafa/webdis.pdf

The two books I mentioned would provide sufficient background to understand the above paper.

A word of warning though - it will take a while :):):):):):):):):)

Of course its worth it.

Thanks
Bill
 
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FAQ: Lebesgue space Q & suggested readings

What is a Lebesgue space?

A Lebesgue space, also known as an Lp space, is a type of function space used in mathematical analysis. It is a collection of functions that have certain properties, such as integrability, and are used to measure and analyze functions in a particular way.

How is a Lebesgue space different from other function spaces?

A Lebesgue space differs from other function spaces, such as the more commonly known Hilbert and Banach spaces, in its definition and properties. Unlike these other spaces, a Lebesgue space takes into account the measure of a function, rather than just its values. It also allows for the inclusion of functions that may not be continuous or differentiable, making it a more versatile tool for analysis.

What is the significance of the "p" in Lp space?

The "p" in Lp space refers to the exponent used in the norm of the space. This exponent, also known as the power parameter, determines the weight given to different parts of the function in the calculation of the norm. It is a key factor in determining the properties and applications of a Lebesgue space, as different values of "p" can lead to vastly different results.

What are some suggested readings for learning about Lebesgue spaces?

Some suggested readings for learning about Lebesgue spaces include "Real and Abstract Analysis" by Edwin Hewitt and Karl Stromberg, "Measure and Integration" by Leonard F. Richardson, and "A First Course in Functional Analysis" by Orr Moshe Shalit. These texts provide comprehensive coverage of Lebesgue spaces and their applications in mathematical analysis.

How are Lebesgue spaces used in scientific research?

Lebesgue spaces are used in a wide range of scientific research, particularly in fields such as physics, engineering, and economics. They are used to measure and analyze functions and their behavior, making them useful in modeling and understanding real-world phenomena. They are also used in the development of numerical algorithms and in the study of partial differential equations.

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