Elegant Problems in Measure Theory

This page is a collection of fun problems in measure theory that have elegant proofs. Solutions to each problem are given in the footnotes. Happy proving!

Let f:R2→Rf : \mathbb{R}^2 \to \mathbb{R}. Prove that if f(x,⋅)f(x, \cdot) is a Lebesgue measurable set for every x∈Rx\in \mathbb{R}, and f(⋅,y)f(\cdot, y) is continuous for every y∈Ry\in \mathbb{R}, then ff is a Lebesgue measurable function.1

Let XX be an arbitrary topological space, and let μ\mu be the counting measure on XX. Prove that μ\mu is a Radon measure if and only if the topology on XX is discrete.2

Let Σ\Sigma be the σ\sigma-algebra on R\mathbb{R} generated by all subsets of Q\mathbb{Q}. Does there exist a Borel function which is not Σ\Sigma-measurable? Does there exist a Σ\Sigma-measurable function which is not Borel?3

Does there exist a set XX and a σ\sigma-algebra Σ\Sigma on XX that contains infinitely many sets, but only countably many?4

Does there exist an infinite dimensional Banach space XX, and a finitely additive, translation invariant measure on it, for which the measure of every ball is positive and finite? (Hint: first try this problem in the case where X=ℓ2X=\ell^2, then try the general case).5

Footnotes

  1. Let us approximate xx by dyadic rationals qn(x):=2−n⌊2nx⌋q_n(x):=2^{-n}\lfloor 2^n x\rfloor, so qn(x)→n→∞xq_n(x)\xrightarrow[n\to\infty]{}x.

    Since the floor function outputs integers, qn(x)q_n(x) can only take the form k2−nk2^{-n} for some k∈Zk\in\mathbb{Z}.

    If ⌊2nx⌋=k\lfloor 2^n x\rfloor=k, then

    k≤2nx<k+1,k\leq 2^n x \lt k+1,

    hence

    k2n≤x<k+12n.\frac{k}{2^n}\leq x \lt \frac{k+1}{2^n}.

    Therefore, for fixed nn,

    {x∈R:qn(x)=k2−n}=[k2n,k+12n).\lbrace x\in\mathbb{R}:q_n(x)=k2^{-n}\rbrace = \left[\frac{k}{2^n},\frac{k+1}{2^n}\right).

    Hence, on this interval, qn(x)q_n(x) is constant and equals k2−nk2^{-n}.

    In the strip

    [k2n,k+12n)×R,\left[\frac{k}{2^n},\frac{k+1}{2^n}\right)\times\mathbb{R},

    the condition f(qn(x),y)>αf(q_n(x),y)>\alpha becomes f(k2−n,y)>αf(k2^{-n},y)>\alpha.

    For fixed n,k,αn,k,\alpha, define

    An,k,α:={y∈R:f(k2−n,y)>α}.A_{n,k,\alpha}:=\lbrace y\in\mathbb{R}:f(k2^{-n},y)>\alpha\rbrace.

    Since f(x,⋅)f(x,\cdot) is Lebesgue measurable for every xx, the set An,k,α⊆RA_{n,k,\alpha}\subseteq\mathbb{R} is Lebesgue measurable.

    Define gn(x,y):=f(qn(x),y)g_n(x,y):=f(q_n(x),y). Then

    {(x,y)∈R2:gn(x,y)>α}=⋃k∈Z[k2n,k+12n)×An,k,α.\lbrace (x,y)\in\mathbb{R}^2:g_n(x,y)>\alpha\rbrace = \bigcup_{k\in\mathbb{Z}} \left[\frac{k}{2^n},\frac{k+1}{2^n}\right) \times A_{n,k,\alpha}.

    Each interval [k2n,k+12n)\left[\frac{k}{2^n},\frac{k+1}{2^n}\right) is Borel measurable, and each An,k,αA_{n,k,\alpha} is Lebesgue measurable. Hence each product

    [k2n,k+12n)×An,k,α\left[\frac{k}{2^n},\frac{k+1}{2^n}\right) \times A_{n,k,\alpha}

    is Lebesgue measurable in R2\mathbb{R}^2.

    Thus {(x,y)∈R2:gn(x,y)>α}\lbrace (x,y)\in\mathbb{R}^2:g_n(x,y)>\alpha\rbrace is Lebesgue measurable, since it is a countable union of Lebesgue measurable sets.

    Since α∈R\alpha\in\mathbb{R} is arbitrary, gng_n is Lebesgue measurable.

    By continuity of f(⋅,y)f(\cdot,y),

    gn(x,y)=f(qn(x),y)→n→∞f(x,y).g_n(x,y)=f(q_n(x),y)\xrightarrow[n\to\infty]{}f(x,y).

    Hence gng_n converges pointwise to ff. Since the pointwise limit of Lebesgue measurable functions is Lebesgue measurable, ff is Lebesgue measurable. ↩

  2. Recall that the topology on XX is discrete if and only if every singleton set in XX is open.

    For the first direction, suppose the counting measure μ\mu is a Radon measure on XX.

    Let x∈Xx\in X be arbitrary and consider the singleton set A={x}A=\lbrace x\rbrace, then μ(A)=1\mu(A)=1 by definition of counting measure, since ∣A∣=1|A|=1. By the outer regularity property of a Radon measure, inf⁡{μ(G):x∈G,G open}=1\inf \lbrace \mu(G): x\in G, G\text{ open}\rbrace=1.

    Since the counting measure μ\mu takes values in {0,1,2,…,∞}\lbrace 0,1,2,\dots, \infty\rbrace, the infimum must hit 1 exactly, so ∃G0\exists G_0 open with x∈G0x\in G_0 and μ(G0)=∣G0∣=1\mu(G_0)=|G_0|=1. Hence, we must have G0={x}G_0=\lbrace x\rbrace, so {x}\lbrace x\rbrace is open. Since x∈Xx\in X was arbitrary, we know that every singleton set in XX is open, hence the topology on XX is discrete.

    This proves that μ\mu is a Radon measure   ⟹  \implies the topology on XX is discrete.

    For the second direction, suppose the topology on XX is discrete.

    Under the counting measure, every subset of the space XX is measurable, since the σ\sigma-algebra is the power set P(X)\mathcal{P}(X). Since the Borel set is a subcollection of the power set, Borel measurability follows immediately. Now it suffices to check inner regularity, outer regularity and local finiteness.

    Let us note that under the discrete topology, every set is open, since one can take a ball of radius r<1r<1 around any point x∈Xx\in X, and then Br(x)={x}B_r(x)=\lbrace x\rbrace. Hence, the complement of every set is open, hence every set is closed. So every subset of XX is clopen under the discrete topology.

    Also, note that for a set KK, the set ⋃x∈K{x}\bigcup_{x\in K} \lbrace x\rbrace forms an open cover of KK, so for KK to be compact there must be a finite subcover. This is only possible if KK is finite. Hence, under the discrete topology, compact ⇔\Leftrightarrow finite.

    Given arbitrary x∈Xx\in X, we know that U={x}U=\lbrace x\rbrace is an open neighbourhood of xx with μ(U)=∣U∣=∣{x}∣=1<∞\mu(U)=|U|=|\lbrace x\rbrace|=1<\infty. This proves local finiteness.

    For any A⊆XA\subseteq X, we have inf⁡{μ(G):A⊆G,G open}=μ(G0)\inf \lbrace \mu(G): A \subseteq G, G\text{ open}\rbrace= \mu(G_0) where G0=⋃a∈A{a}G_0=\bigcup_{a\in A} \lbrace a\rbrace. Hence, μ(G0)=∣A∣=μ(A)\mu(G_0)=|A|=\mu(A). This proves outer regularity.

    For any A⊆XA\subseteq X, we want to find sup⁡{μ(K):K⊆A,K compact}\sup \lbrace \mu(K): K \subseteq A, K\text{ compact}\rbrace. If AA is finite then AA is compact, hence we pick K=AK=A, then μ(K)=μ(A)\mu(K)=\mu(A). If AA is infinite then we can pick nn elements from AA to form KnK_n, so KnK_n is finite hence it is compact, and we let n→∞n\to \infty so we have sup⁡n(μ(Kn))=∞=μ(A)\sup_n(\mu(K_n))=\infty=\mu(A). This proves inner regularity.

    This proves that the topology on XX is discrete   ⟹  \implies μ\mu is a Radon measure. ↩

  3. We claim that if A∈ΣA\in \Sigma, then there are only two possibilities: either A⊆QA\subseteq \mathbb{Q}, or A=B∪(R∖Q)A=B\cup(\mathbb{R}\setminus \mathbb{Q}) with B⊆QB\subseteq \mathbb{Q}.

    Consider the collection F={A⊆R:A⊆Q or R∖Q⊆A}\mathcal{F}=\lbrace A\subseteq \mathbb{R}: A\subseteq \mathbb{Q} \text{ or } \mathbb{R}\setminus \mathbb{Q} \subseteq A\rbrace. Let us show that Σ=F\Sigma=\mathcal{F}.

    First, we want to show that F⊆Σ\mathcal{F}\subseteq \Sigma. It suffices to show that F\mathcal{F} is a σ\sigma-algebra and that F\mathcal{F} contains all subsets of Q\mathbb{Q}.

    Let A∈FA\in \mathcal{F}. If A⊆QA\subseteq \mathbb{Q} then Ac=R∖A=(R∖Q)∪(Q∖A)A^c=\mathbb{R}\setminus A=(\mathbb{R}\setminus \mathbb{Q})\cup(\mathbb{Q}\setminus A), so R∖Q⊆Ac\mathbb{R}\setminus \mathbb{Q}\subseteq A^c and Ac∈FA^c\in \mathcal{F}.

    If R∖Q⊆A\mathbb{R}\setminus \mathbb{Q}\subseteq A, then A∩Ac=∅A\cap A^c=\emptyset implies (R∖Q)∩Ac=∅(\mathbb{R}\setminus \mathbb{Q})\cap A^c=\emptyset, so Ac⊆QA^c\subseteq \mathbb{Q} and Ac∈FA^c\in \mathcal{F}.

    Let ⋃n=1∞An\bigcup_{n=1}^\infty A_n be a countable union of elements of F\mathcal{F}. If there exists n0n_0 such that R∖Q⊆An0\mathbb{R}\setminus \mathbb{Q}\subseteq A_{n_0}, then R∖Q⊆⋃n=1∞An\mathbb{R}\setminus \mathbb{Q}\subseteq \bigcup_{n=1}^\infty A_n, so ⋃n=1∞An∈F\bigcup_{n=1}^\infty A_n\in \mathcal{F}.

    Otherwise, for all nn, An⊆QA_n\subseteq \mathbb{Q}, so ⋃n=1∞An⊆Q\bigcup_{n=1}^\infty A_n\subseteq \mathbb{Q} and ⋃n=1∞An∈F\bigcup_{n=1}^\infty A_n\in \mathcal{F}.

    Any arbitrary B⊆QB\subseteq \mathbb{Q} is in F\mathcal{F} by definition, so F\mathcal{F} contains all subsets of Q\mathbb{Q}.

    Second, we want to show that Σ⊆F\Sigma\subseteq \mathcal{F}. Since F\mathcal{F} is a σ\sigma-algebra that contains all subsets of Q\mathbb{Q}, and Σ\Sigma is the smallest σ\sigma-algebra that contains all subsets of Q\mathbb{Q}, it is clear that Σ⊆F\Sigma\subseteq \mathcal{F}.

    Thus, Σ={A⊆R:A⊆Q or R∖Q⊆A}\Sigma=\lbrace A\subseteq \mathbb{R}: A\subseteq \mathbb{Q} \text{ or } \mathbb{R}\setminus \mathbb{Q} \subseteq A\rbrace.

    Consider f:(R,Σ)→(R,B)f:(\mathbb{R},\Sigma)\to(\mathbb{R},\mathcal{B}) defined as f(x)=x2f(x)=x^2. Then B={2}∈BB=\lbrace 2\rbrace\in \mathcal{B} is a Borel set, but f−1({2})={2,−2}∉Σf^{-1}(\lbrace 2\rbrace)=\lbrace \sqrt{2},-\sqrt{2}\rbrace\notin \Sigma, since it contains some but not all irrationals. So f(x)=x2f(x)=x^2 is a continuous function, hence a Borel function, but it is not Σ\Sigma-measurable.

    Conversely, there does not exist a Σ\Sigma-measurable function which is not Borel. Indeed, Σ⊆B\Sigma\subseteq \mathcal{B}. If M∈ΣM\in \Sigma and M⊆QM\subseteq \mathbb{Q}, then MM is countable, so it is a countable union of singleton Borel sets and hence Borel. If R∖Q⊆M\mathbb{R}\setminus \mathbb{Q}\subseteq M, then M=(R∖Q)∪M~M=(\mathbb{R}\setminus \mathbb{Q})\cup \tilde{M} with M~⊆Q\tilde{M}\subseteq \mathbb{Q}, and both pieces are Borel. Hence M∈BM\in \mathcal{B}. ↩

  4. Suppose for sake of contradiction that there exists such an XX.

    Let x∈Xx\in X. Take the selective intersection ⋂\bigcap of all sets Y⊂ΣY \subset \Sigma, i.e., include YY in the intersection if x∈Yx\in Y and include YcY^c in the intersection if x∉Yx\notin Y. This intersection gives us the smallest set in Σ\Sigma containing xx, call it AxA_x. We will refer to this as the 'atom' of xx.

    Consider x,y∈Xx,y\in X with x≠yx\neq y. Suppose z∈Ax∩Ayz\in A_x\cap A_y.

    Then, z∈Axz\in A_x and Ax∈ΣA_x\in \Sigma implies that Az⊆AxA_z\subseteq A_x (since AzA_z is the smallest set in Σ\Sigma containing zz). By the same logic, Az⊆AyA_z\subseteq A_y.

    Now suppose x∉Azx\notin A_z, then x∈Azc∈Σx\in A_z^c\in \Sigma, hence Ax⊆AzcA_x \subseteq A_z^c because AzcA_z^c is a particular set containing xx and AxA_x is the intersection of all such sets. But we know Az⊆AxA_z \subseteq A_x so this is a contradiction, hence x∈Azx\in A_z. Thus, Ax⊆AzA_x\subseteq A_z (since AxA_x is the smallest set in Σ\Sigma containing xx). So Ax=AzA_x=A_z and by the same reasoning, Ay=AzA_y=A_z.

    So Ax∩Ay≠∅  ⟹  Ax=Ay.A_x\cap A_y\neq \emptyset \implies A_x=A_y.

    So the distinct atoms are pairwise disjoint and their union is all of XX. Every set in Σ\Sigma must be a union of atoms. So if there are nn distinct atoms, we can form nCn+nC(n−1)+⋯+nC1=2nnCn+nC(n-1)+\dots+nC1=2^n sets in Σ\Sigma. So if there are countably infinite distinct atoms, we can form uncountably infinite sets in Σ\Sigma.

    If there are finitely many atoms then Σ\Sigma is countably infinite. If there are countably infinitely many atoms then Σ\Sigma is uncountably infinite. In neither case is a countably infinite Σ\Sigma possible. ↩

  5. Suppose for sake of contradiction that there exists such a measure.

    Since XX is an infinite dimensional Banach space, the closed unit ball in XX (call it UU) is not compact. UU is a closed subset of XX and XX is complete, hence UU is complete. We know that 'compact' ⇔\Leftrightarrow 'complete and totally bounded'.

    Hence, UU is not totally bounded, so ∃δ>0\exists \delta>0 such that UU cannot be covered with finitely many balls of radius δ\delta.

    Pick any e1∈Ue_1\in U. Since UU is not covered by B(e1,δ)B(e_1, \delta), pick e2∈U∖B(e1,δ)e_2\in U\setminus B(e_1,\delta). Inductively, pick en+1∈U∖⋃k=1nB(ek,δ)e_{n+1} \in U\setminus \bigcup_{k=1}^n B(e_k,\delta).

    This is a bounded sequence of points eii∈N{e_i}_{i\in \mathbb{N}} in the closed unit ball such that ∥ei−ej∥X≥δ>0\|e_i-e_j\|_X \geq \delta>0 for all i≠ji\neq j and ∥ei∥≤1\|e_i\|\leq 1 for all ii.

    Consider the balls Bi:=B(ei,δ3)B_i := B(e_i,\frac{\delta}{3}). Clearly, Bi∩Bj=∅B_i\cap B_j=\emptyset for i≠ji\neq j (since 2δ3<δ\frac{2\delta}{3}<\delta).

    By translation invariance, μ(Bi)=k\mu(B_i)=k for all ii, where kk is some finite positive constant. This is because Bj=B(ej,δ3)=B(ei,δ3)+(ej−ei)=Bi+(ej−ei)B_j=B(e_j,\frac{\delta}{3})=B(e_i,\frac{\delta}{3}) + (e_j-e_i) = B_i + (e_j-e_i), hence μ(Bj)=μ(Bi)\mu(B_j)=\mu(B_i).

    Consider a finite set of such balls, then by finite additivity, we have μ(⋃i=1nBi)=∑i=1nμ(Bi)=nk\mu(\bigcup_{i=1}^n B_i) = \sum_{i=1}^n \mu(B_i) = nk.

    But ⋃i=1nBi⊂B(0,1+δ3)\bigcup_{i=1}^n B_i \subset B(0, 1+\frac{\delta}{3}), hence μ(⋃i=1nBi)=nk≤μ(B(0,1+δ3))\mu(\bigcup_{i=1}^n B_i) = nk \le \mu(B(0, 1+\frac{\delta}{3})).

    But since this holds for all nn, this forces μ(B(0,1+δ3))=∞\mu(B(0, 1+\frac{\delta}{3})) = \infty which is a contradiction. ↩