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Real Analysis - August 2025

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

Let f : ℝ → ℝ f:\mathbb R\to\mathbb R be a function, not necessarily measurable. Show that

x ∈ ℝ : f is continuous at x {x\in\mathbb R:f\text{ is continuous at }x}

is a Borel subset of ℝ \mathbb R . Hint: one can actually show that it is a countable intersection of open sets.

Problem 2

For each pair of spaces:

  1. L 2 ( [ 0 , 1 ] ) L^2([0,1]) and L 3 ( [ 0 , 1 ] ) L^3([0,1]) with the standard Lebesgue measure;

  2. L 2 ( ℝ ) L^2(\mathbb R) and L 3 ( ℝ ) L^3(\mathbb R) with the standard Lebesgue measure;

  3. ℓ 2 ( ℤ ) \ell^2(\mathbb Z) and ℓ 3 ( ℤ ) \ell^3(\mathbb Z) with the standard counting measure,

is one of them is included in the other? For example, ℓ 2 ( ℤ ) ⊂ ℓ 3 ( ℤ ) \ell^2(\mathbb Z)\subset\ell^3(\mathbb Z) or ℓ 3 ( ℤ ) ⊂ ℓ 2 ( ℤ ) \ell^3(\mathbb Z)\subset\ell^2(\mathbb Z) ? Provide the proof of each corresponding inclusion, or a proof that neither is included in the other. Use the usual conventions about identifying functions coinciding on zero measure sets.

Problem 3

Let f : ℝ → ℝ f:\mathbb R\to\mathbb R be a Lipschitz continuous function. Show that the graph of f f has measure zero in ℝ 2 \mathbb R^2 .

Problem 4

Let ( X , B , μ ) (X,B,\mu) be a measure space with μ ( X ) < + ∞ \mu(X)<+\infty , and f n : X → [ 0 , + ∞ ) f_n:X\to[0,+\infty) be measurable functions. Show that f n → 0 f_n\to0 in measure if and only if

∫ X f n 2 1 + f n 2 d μ → 0 , as n → ∞ . \int_X\frac{f_n^2}{1+f_n^2}\,d\mu\to0,\text{ as }n\to\infty.

Problem 5

Let ( X , S , μ ) (X,S,\mu) be a measure space with μ ( X ) < + ∞ \mu(X)<+\infty , and f : X → ( 0 , + ∞ ) f:X\to(0,+\infty) be a strictly positive measurable function. Show that for every ε > 0 \varepsilon>0 there exists δ = δ ( ε , f ) > 0 \delta=\delta(\varepsilon,f)>0 such that, for every measurable subset E ⊂ X E\subset X with μ ( E ) ≥ ε \mu(E)\ge\varepsilon , we have

∫ E f ( x ) d x ≥ δ . \int_E f(x)\,dx\ge\delta.

Hint: consider the sets { x ∈ X : f ( x ) ≥ 1 / n } \{x\in X:f(x)\ge1/n\} .