How can $L^1(\Bbb R)$ be isomorphic to an ideal in $M(\Bbb R)$?

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    2017
In summary, $L^1(\Bbb R)$ is the space of Lebesgue integrable functions on the real line, while $M(\Bbb R)$ is the space of complex-valued Borel measures on the real line. An isomorphism can be defined between these spaces as a mapping that preserves their algebraic and topological structures. This is important because it helps us understand the relationship between these fundamental concepts and allows us to apply techniques and results from one space to the other. The isomorphism also has various applications in functional analysis, harmonic analysis, probability theory, and other fields.
  • #1
Euge
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Here is this week's POTW:

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Consider the Lebesgue space $L^1(\Bbb R)$ as an algebra with product given by convolution. Prove that $L^1(\Bbb R)$ is isomorphic as an algebra to an ideal in the algebra $M(\Bbb R)$ of complex Borel measures on $\Bbb R$, and identify the ideal. Note the product in $M(\Bbb R)$ is given by convolution of measures.-----

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  • #2
I'm going to give members one extra week to solve this POTW. For a hint, consider the set of measures absolutely continuous with respect to the Lebesgue measure on $\Bbb R$. Use the Radon-Nikodym theorem to construct an algebra map.
 
  • #3
Honorable mention goes to vidyarth for an incomplete solution. You can read my solution below.
Let $A_m$ denote the set of measures absolutely continuous with respect the Lebesgue measure $m$. Then $A_m$ is an ideal of $M(\Bbb R)$. For given $\mu\in M(\Bbb R)$ and $\nu \in A$, $d\mu = f\, dm$ for some $f\in L^1(\Bbb R)$, and for every measurable set $E\subset \Bbb R$,

$$(\mu * \nu)(E) = \int \mu(E - t)\, d\nu(t) = \iint 1_{E-t}(s)f(s)\, dm(s)\, d\nu(t) = \iint 1_{E}(t + s)f(s)\, d\nu(t)\, dm(s)$$
$$ = \iint 1_E(s) f(s-t)\, d\nu(t)\, dm(s) = \int_E (f * \nu)(s)\, dm(s)$$

where $(f*\nu)(s) = \int f(s-t)\, d\nu(t)$. Thus $d(\mu * \nu) = (f * \nu)\, dm$, proving $\mu * \nu \in A_m$.

By the Radon-Nikodym theorem, the mapping $\Phi : A_m \to L^1(\Bbb R)$, $\mu \mapsto \frac{d\mu}{dm}$ is a one-to-one correspondence. For all $\mu, \nu \in A_m$,

$$\frac{d(\mu * \nu)}{dm} = \frac{d\mu}{dm} * \frac{d\nu}{dm}$$

whence $\Phi$ is an isomorphism of algebras.
 

FAQ: How can $L^1(\Bbb R)$ be isomorphic to an ideal in $M(\Bbb R)$?

1. What is $L^1(\Bbb R)$ and $M(\Bbb R)$ in this context?

$L^1(\Bbb R)$ refers to the space of Lebesgue integrable functions on the real line, while $M(\Bbb R)$ refers to the space of complex-valued Borel measures on the real line.

2. How can $L^1(\Bbb R)$ be isomorphic to an ideal in $M(\Bbb R)$?

This can be achieved by defining the isomorphism between $L^1(\Bbb R)$ and an ideal in $M(\Bbb R)$ as a mapping that preserves the algebraic and topological structures of the spaces.

3. What is an isomorphism in this context?

An isomorphism is a bijective mapping between two mathematical structures that preserves their fundamental properties, such as algebraic and topological operations.

4. Why is it important to study the isomorphism between $L^1(\Bbb R)$ and an ideal in $M(\Bbb R)$?

This study is important because it helps us understand the relationship between the spaces of Lebesgue integrable functions and Borel measures, which are fundamental concepts in mathematical analysis and probability theory. It also allows us to apply techniques and results from one space to the other, leading to a deeper understanding of both spaces.

5. What are some applications of this isomorphism?

This isomorphism has applications in various fields, including functional analysis, harmonic analysis, and probability theory. It is also used in the study of stochastic processes and in constructing measures and integrals on infinite-dimensional spaces.

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