Embedding L1 in the Banach space of complex Borel measures

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SUMMARY

This discussion focuses on proving that if \( f \in L^1(\mathbb{R}^d) \) and a complex Borel measure \( \lambda \) satisfies \( f \, dx = d\lambda \), then it follows that \( |f| \, dx = d|\lambda| \). The author constructs a function \( \psi \in L^1(|\lambda|) \) such that \( d\lambda = \psi \, d|\lambda| \) and demonstrates that \( \bar{\psi} f \ge 0 \) almost everywhere, leading to the conclusion that \( d|\lambda| = |f| \, d\mu \). The proof utilizes the monotone convergence theorem and properties of positive measures.

PREREQUISITES
  • Understanding of \( L^1 \) spaces, specifically \( L^1(\mathbb{R}^d) \)
  • Knowledge of complex Borel measures and their properties
  • Familiarity with the monotone convergence theorem
  • Basic concepts of measure theory, including positive measures
NEXT STEPS
  • Study the properties of \( L^1 \) spaces and their applications in measure theory
  • Learn about the construction and properties of complex Borel measures
  • Explore the monotone convergence theorem in depth and its implications in analysis
  • Investigate the relationship between measures and integrable functions in \( L^1 \)
USEFUL FOR

Mathematicians, graduate students in analysis, and researchers focusing on measure theory and functional analysis will benefit from this discussion.

Undecided Guy
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Hey, I know this is commonly a homework question, but it came up in my own studies; so this isn't a homework question for me. I hope it's alright that I put it here.

I'm trying to show that if [itex]f dx = d\lambda[/itex] for some [itex]f \in L^1(\mathbb{R}^d)[/itex] and complex Borel measure [itex]\lambda[/itex] then [itex]|f| dx = d|\lambda|[/itex] (i.e., [itex]f \to fdx[/itex] is an isometry).

What I've done so far is constructed a [itex]\psi \in L^1(\lambda)[/itex] so that [itex]\psi d\lambda = d|\lambda|[/itex] with [itex]|\psi| = 1[/itex]. So we then have that [itex]f \psi dx = \psi d\lambda = d|\lambda|[/itex], so it looks like what I need to show is that [itex]f \psi = |f|[/itex]. I'm not really sure how to do that though.
 
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Oh dear, sorry, what I meant is that I have a [itex]\psi \in L^1(|\lambda|)[/itex] so that [itex]d\lambda = \psi d|\lambda|[/itex]. Sorry for the mistake.

Anyway, what I've ended up doing so far is showing one of the two ineqaulities. Fix a partition [itex]\{X_j\}_{j=1}^{\infty}[/itex] of [itex]\mathbb{R}^d[/itex].

Then [itex]\sum_{j=1}^{\infty} |\lambda(X_j)| = \sum_j |\int_{X_j} f(x) dx | \le \sum_j \int_{x_j} |f| dx = \int_{\mathbb{R}^d} |f| dx = ||f||_1[/itex]

with the second to last equality holding from the monotone convergence theorem. Supping on all such partitions gives [itex]|\lambda| \le ||f||_1[/itex] directly from the definition. Still at kind of a loss how to show the reverse.
 
For completeness, I thought I'd go ahead and update this with the solution.

First I'll need the following fact:

If [itex]\mu[/itex] is some positive measure, [itex]g \in L^1(\mu)[/itex], and for every measurable set [itex]E[/itex], [itex]0 \le \int_E g(x) d\mu(x)[/itex], then [itex]g \ge 0[/itex] almost everywhere (wrt [itex]\mu[/itex]).

Proof: Consider the set [itex]F = \{ g(x) \notin [0, \infty) \}[/itex]. Write [itex]F = R \cup C[/itex] for [itex]R = \{ g(x) < 0 \}[/itex] and [itex]C = \{g(x) \in \mathbb{C} - \mathbb{R} \}[/itex]. F has positive measure if and only if at least one of R or C does as well.

Suppose R has positive measure. Write [itex]R = \bigcup_j R_j[/itex] for [itex]R_j = \{ g(x) < -\frac{1}{j} \}[/itex]. Since R has positive measure, there's at least one j so that [itex]R_j[/itex] does as well. Thus [itex]\int_{R_j} g(x) d\mu \le \int_{R_j} -\frac{1}{j} d\mu = -\frac{1}{j} \mu(R_j) < 0[/itex], which contradicts the hypothesis on g. So R must have 0 measure.

Write g = u + iv. So on C, v is never 0. So [itex]0 \le \int_C g(x) d\mu = \int_C u d\mu + i \int_C v d\mu[/itex]. This is only possible if [itex]\int_C v d\mu = 0[/itex]. By writing [itex]C = P \cup N[/itex] where [itex]P = \{v > 0 \}[/itex] and [itex]N = \{ v < 0 \}[/itex] and applying the same argument as above on [itex]R[/itex], we see that both P and N must have 0 measure, so C does as well.

Together this shows that F must have 0 measure. //



Onto the actual statement, we want to show that:

If [itex]\mu[/itex] is a positive measure, [itex]f \in L^1(\mu)[/itex] and [itex]\lambda[/itex] is defined by [itex]d\lambda = f d\mu[/itex], then [itex]||\lambda|| = |f| d\mu[/itex]

Proof: Construct a function [itex]\psi \in L^1(|\lambda|)[/itex] with [itex]|\psi| = 1[/itex] and [itex]\psi d\|lambda| = d\lambda[/itex]. Now [itex]\psi \bar{\psi} = |\psi| = 1[/itex], so

[itex]d|\lambda| = \bar{\psi} \psi d|\lambda| = \bar{\psi} d\lambda = \bar{\psi} f d\mu[/itex].

Thus given any measurable set E, we have that [itex]0 \le |\lambda|(E) = \int_E \bar{\psi} f d\mu[/itex].

Appealing to the fact above, this implies that [itex]\bar{\psi} f \ge 0[/itex] almost everywhere (so modifying on a set of measure 0 and changing nothing in the above argument, we may assume it's nonnegative everywhere).

Thus [itex]\bar{\psi} f = |\bar{\psi} f| = |f|[/itex], since [itex]|\bar{\psi} | = 1[/itex]. So, [itex]d|\lambda| = \bar{\psi} f d\mu = |f| d\mu[/itex], which gives the result.
 

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