Math Problem Statement

true or false?

Let (X, A, µ) be a measure space, and let u1 ≤ u2 ≤ u3 ≤ ... be an increasing sequence in L^1(µ), such that sup_n u_n = 0. Show that lim_n→∞ ∫ u_n dµ = 0.

Solution

The statement is true.

Here's why:

The given problem is in the context of measure theory and L1(μ)L^1(\mu) spaces, which deal with integrable functions with respect to a measure μ\mu. Let’s break it down:

  1. Setup: (X,A,μ)(X, \mathcal{A}, \mu) is a measure space, and {un}\{u_n\} is an increasing sequence of non-negative functions in L1(μ)L^1(\mu). Specifically, u1u2u3u_1 \leq u_2 \leq u_3 \leq \cdots, and supnun=0\sup_n u_n = 0.

  2. Condition: Since supnun=0\sup_n u_n = 0, it implies that the functions unu_n approach zero pointwise almost everywhere (with respect to the measure μ\mu).

  3. Conclusion: We are asked to determine if limnundμ=0.\lim_{n \to \infty} \int u_n \, d\mu = 0. This is indeed true due to the monotone convergence theorem in measure theory.

    • By the assumption that unu_n is an increasing sequence and that supnun=0\sup_n u_n = 0, we know that un0u_n \to 0 pointwise almost everywhere.
    • Since the functions unu_n are non-negative and integrable in L1(μ)L^1(\mu), and the limit of the sequence is 0, the monotone convergence theorem guarantees that limnundμ=limnundμ=0dμ=0.\lim_{n \to \infty} \int u_n \, d\mu = \int \lim_{n \to \infty} u_n \, d\mu = \int 0 \, d\mu = 0.

Thus, the limit of the integrals is indeed zero, confirming that the statement is true.


Would you like more details or have any questions?

Here are five related questions for further exploration:

  1. What is the monotone convergence theorem in measure theory?
  2. How does the Dominated Convergence Theorem differ from the Monotone Convergence Theorem?
  3. Can a sequence of functions in L1(μ)L^1(\mu) converge pointwise but not converge in the L1L^1-norm?
  4. How do we prove that supnun=0\sup_n u_n = 0 leads to pointwise convergence to zero?
  5. Can the result still hold if the sequence unu_n were not increasing?

Tip: When dealing with sequences of functions, always check the conditions (like monotonicity or boundedness) to decide which convergence theorem to apply.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Measure Theory
Monotone Convergence Theorem
L^1 spaces

Formulas

sup_n u_n = 0
∫ u_n dµ

Theorems

Monotone Convergence Theorem

Suitable Grade Level

Graduate Level