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Real Analysis - January 2023

Note: all statements require proofs. You can make references to standard theorems from the course; however, you need state the relevant part of the theorem in your own words, unless it’s a well known named theorem. For example, ”we had a theorem in the class that said that any continuous function on a compact subset of ℝ n \mathbb{R}^n is uniformly continuous” is a good reference, and ”by the uniqueness theorem from the class, f f is unique” is not a good reference.

Problem 1

Find three sequences of Borel functions f n , g n , h n : ℝ → ℝ f_n,g_n,h_n:\mathbb R\to\mathbb R such that:

  1. f n → 0 f_n\to0 in L 1 ( ℝ ) L^1(\mathbb R) but does not converge almost everywhere.

  2. g n → 0 g_n\to0 in measure but converges neither in L 1 ( ℝ ) L^1(\mathbb R) nor almost everywhere.

  3. h n → 0 h_n\to0 almost everywhere on ℝ \mathbb R but converges neither in L 1 ( ℝ ) L^1(\mathbb R) nor in measure.

In all types of convergence, use the Lebesgue measure.

Problem 2

Let f ∈ L p ( [ 0 , 3 ] 2 , μ ) f\in L^p([0,3]^2,\mu) , where μ \mu is the standard Lebesgue measure on [ 0 , 3 ] 2 ⊂ ℝ 2 [0,3]^2\subset\mathbb R^2 and 1 < p < + ∞ 1<p<+\infty . Show that

∫ [ 0 , 3 ] 2 f d μ ≤ C p ∥ f ∥ p , \int_{[0,3]^2}f\,d\mu\le C_p\|f\|_p,

where C p C_p depends on p p but not on f f . Find the smallest possible value of such C p C_p .

Problem 3

Let f : ℝ → ℝ f:\mathbb R\to\mathbb R be a continuous function satisfying f ( y ) − f ( x ) ≥ y − x f(y)-f(x)\ge y-x for all x , y ∈ ℝ x,y\in\mathbb R with x < y x<y . Show that | f − 1 ( A ) | = 0 |f^{-1}(A)|=0 for every A ⊂ ℝ A\subset\mathbb R with | A | = 0 |A|=0 . Here | ⋅ | |\cdot| denotes the Lebesgue outer measure. Hint: note that f f is strictly monotone and one-to-one.

Problem 4

Let ( X , S , μ ) (X,S,\mu) be a measure space with μ ( X ) < + ∞ \mu(X)<+\infty . Let f : X → [ 0 , + ∞ ) f:X\to[0,+\infty) be a measurable function. Show

∫ X e f ( x ) d x = μ ( X ) + ∫ 0 + ∞ μ ( { x ∈ X : f ( x ) ≥ s } ) e s d s . \int_X e^{f(x)}\,dx=\mu(X)+\int_0^{+\infty}\mu(\{x\in X:f(x)\ge s\})e^s\,ds.

Problem 5

Let ( X , S , μ ) (X,S,\mu) be a measure space with a σ \sigma -finite measure. Suppose that f n : X → ℝ f_n:X\to\mathbb R are measurable functions, and f n → f f_n\to f almost everywhere on X X . Show that there exist measurable subsets { E k } k ∈ ℕ \{E_k\}_{k\in\mathbb N} such that f n f_n converges to f f uniformly on E k E_k , and

μ ( X \ ⋃ n = 1 ∞ E n ) = 0 . \mu\left(X\setminus\bigcup_{n=1}^{\infty}E_n\right)=0.