Diagonal argument

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Let HH be a separable Hilbert space. Prove that any closed ball in L(H)\mathcal{L}(H) is a weakly compact set (i.e., every bounded sequence in L(H)\mathcal{L}(H) contains a weakly convergent subsequence).

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Prove that if the sequence {fn(x)}\left\{ f_{n}(x)\right\} is uniformly bounded and equicontinuous (see problem 43) on the segment [a;b][a ; b], then from it one can extract a subsequence that converges uniformly on this segment (Arzelà's theorem).

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Let {fn}\left\{ f_{n}\right\} be an equicontinuous, uniformly bounded sequence of realvalued functions on R\mathbb {R}. Prove that there is a subsequence {fnk}\left\{ f_{n_{k}}\right\} that converges pointwise on R\mathbb {R} to a continuous function ff on R\mathbb {R} and that the convergence is uniform on bounded subsets of R\mathbb {R}.

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Show that 2N2^{\mathrm{N}}, the collection of all sets of natural numbers, is uncountable.

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Show that the Cartesian product of a finite collection of countable sets is countable. Use the preceding problem to show that NN\mathbb {N}^{\mathbb {N}}, the collection of all mappings of N\mathbb {N} into N\mathbb {N}, is not countable.

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Let {fn}\left\{ f_{n}\right\} be an equicontinuous, uniformly bounded sequence of continuous real-valued functions on R\mathbb {R}. Show that there is a subsequence of {fn}\left\{ f_{n}\right\} that converges pointwise on R\mathbb {R} to a continuous function on R\mathbb {R} and that the convergence is uniform on each bounded subset of R\mathbb {R}.

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The following is an advanced calculus fact used in the next problem, often called the diagonal method. Suppose that each row of the array

x1,1x1,2x1,3⋯x2,1x2,2x2,3⋯⋮⋮⋮ \begin{array}{llll} x_{1,1} & x_{1,2} & x_{1,3} & \cdots \\ x_{2,1} & x_{2,2} & x_{2,3} & \cdots \\ \vdots & \vdots & \vdots & \end{array}

is a bounded sequence of real numbers. Then there exists a strictly increasing sequence n1,n2,⋯n_{1}, n_{2}, \cdots of positive integers such that lim⁡kxr,nk\lim_{k} x_{r, n_{k}} exists for each r∈Nr \in \mathbb {N}.

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Remark.
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The first row of the above array is a bounded sequence, and hence there is a convergent subsequence x1,n1,1,x1,n1,2,x1,n1,3,⋯x_{1, n_{1,1}}, x_{1, n_{1,2}}, x_{1, n_{1,3}}, \cdots, where the sequence {n1,k}k=1∞\left\{ n_{1,k}\right\}_{k=1}^{\infty } is strictly increasing and lim⁡kx1,n1,k\lim_{k} x_{1, n_{1,k}} exists. Return to the original array and look at the second row along the sequence n1,1,n1,2,⋯n_{1,1}, n_{1,2}, \cdots, so that we are considering the bounded sequence x2,n1,1,x2,n1,2,x2,n1,3,⋯x_{2, n_{1,1}}, x_{2, n_{1,2}}, x_{2, n_{1,3}}, \cdots. Select from this bounded sequence a convergent subsequence; write it as x2,n2,1,x2,n2,2,x2,n2,3,⋯x_{2, n_{2,1}}, x_{2, n_{2,2}}, x_{2, n_{2,3}}, \cdots. Observe the following: {n2,k}k=1∞\left\{ n_{2,k}\right\}_{k=1}^{\infty } is a strictly increasing subsequence of {n1,k}k=1∞\left\{ n_{1,k}\right\}_{k=1}^{\infty }, and lim⁡kx2,n2,k\lim_{k} x_{2, n_{2,k}} exists. Continue on this process, obtaining a new array

n1,1n1,2n1,3⋯n2,1n2,2n2,3⋯⋮⋮⋮ \begin{array}{llll} n_{1,1} & n_{1,2} & n_{1,3} & \cdots \\ n_{2,1} & n_{2,2} & n_{2,3} & \cdots \\ \vdots & \vdots & \vdots & \end{array}

such that (i) each row is a strictly increasing sequence of positive integers, (ii) each row is a subsequence of the row above, and (iii) for each r∈Nr \in \mathbb {N} the limit lim⁡kxr,nr,k\lim_{k} x_{r, n_{r,k}} exists. Therefore, for each r∈Nr \in \mathbb {N} we have that xr,nr,1,xr,nr,2,xr,nr,3,⋯x_{r, n_{r,1}}, x_{r, n_{r,2}}, x_{r, n_{r,3}}, \cdots is a convergent sequence of the rrth row of the original array. Define nk=nk,kn_{k}=n_{k,k} for each k∈Nk \in \mathbb {N}. The nkn_{k}'s are strictly increasing because each row of the new array is increasing and is contained in the preceding row. Also, nr,nr+1,nr+2,⋯n_{r}, n_{r+1}, n_{r+2}, \cdots is a subsequence of the rrth row of the new array for each r∈Nr \in \mathbb {N}. It follows that xr,nr,xr,nr+1,xr,nr+2,⋯x_{r, n_{r}}, x_{r, n_{r+1}}, x_{r, n_{r+2}}, \cdots is a subsequence of xr,nr,1,xr,nr,2,xr,nr,3,⋯x_{r, n_{r,1}}, x_{r, n_{r,2}}, x_{r, n_{r,3}}, \cdots for each rr in N\mathbb {N}, so that lim⁡kxr,nk\lim_{k} x_{r, n_{k}} exists for each r∈Nr \in \mathbb {N}.

Let (Ω,F,μ)(\Omega , \mathcal{F}, \mu ) denote a σ\sigma-finite measure space with 1<p<+∞1<p<+\infty. Further assume that F\mathcal{F} is countably generated, which means that there is a countable class C\mathcal{C} with σ(C)=F\sigma (\mathcal{C})=\mathcal{F}. Let B1p={f∈Lp:∥f∥p⩽1}B_{1}^{p}=\left\{ f \in L^{p}: \left\| f\right\|_{p} \leqslant 1\right\}, so that B1pB_{1}^{p} is the unit ball in LpL^{p}. We will show that B1pB_{1}^{p} is compact in the topology of weak convergence. That is, every sequence in B1pB_{1}^{p} contains a subsequence converging weakly to an element of B1pB_{1}^{p}.

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(a)

Lp′L^{p^{\prime }} has a countable dense subset, say G\mathcal{G}. [Recall an approximation result from Chapter 8.]

(b)

Append to G\mathcal{G} all finite rational linear combinations of its elements. We will refer to this augmented collection as G\mathcal{G}; G\mathcal{G} [the augmented collection] is still countable. Next, let {fn}n=1∞\left\{ f_{n}\right\}_{n=1}^{\infty } denote a sequence in B1pB_{1}^{p}.

For every g∈Lp′g \in L^{p^{\prime }}, {∫fng dμ}n=1∞\left\{ \int f_{n} g \, \mathrm{d} \mu \right\}_{n=1}^{\infty } is a bounded sequence of real numbers with bound ∥g∥p′\left\| g\right\|_{p^{\prime }}. From this we may deduce that {∫fng dμ}n=1∞\left\{ \int f_{n} g \, \mathrm{d} \mu \right\}_{n=1}^{\infty } is a bounded sequence of real numbers with bound ∥g∥p′\left\| g\right\|_{p^{\prime }} for every g∈Gg \in \mathcal{G}.

Since G\mathcal{G} is countable, there is a subsequence {nk}k=1∞\left\{ n_{k}\right\}_{k=1}^{\infty } of the sequence 1,2,⋯1, 2, \cdots such that lim⁡k∫fnkg dμ\lim_{k} \int f_{n_{k}} g \, \mathrm{d} \mu exists for every g∈Gg \in \mathcal{G}. [This is a direct application of the diagonal method from advanced calculus: The array whose rrth row is {∫frgn dμ}n=1∞\left\{ \int f_{r} g_{n} \, \mathrm{d} \mu \right\}_{n=1}^{\infty }, with {gn}n=1∞\left\{ g_{n}\right\}_{n=1}^{\infty } an enumeration of G\mathcal{G}, is bounded row by row, so Exercise 1 of this section applies.] Write LG(g)=lim⁡k∫fnkg dμL_{\mathcal{G}}(g)=\lim_{k} \int f_{n_{k}} g \, \mathrm{d} \mu for every g∈Gg \in \mathcal{G}; Hölder's Inequality gives ∣LG(g)∣⩽∥g∥p′\left|L_{\mathcal{G}}(g)\right| \leqslant \left\| g\right\|_{p^{\prime }} for every g∈Gg \in \mathcal{G}.

(c)

LGL_{\mathcal{G}} is uniformly continuous on its domain G\mathcal{G}. [We have

∣LG(g)−LG(g′)∣=lim⁡k∣∫fnk(g−g′) dμ∣⩽lim‾⁡k∥fnk∥p∥g−g′∥p′⩽∥g−g′∥p′ \left|L_{\mathcal{G}}(g)-L_{\mathcal{G}}(g^{\prime })\right|=\lim _{k}\left|\int f_{n_{k}}(g-g^{\prime }) \, \mathrm{d} \mu \right| \leqslant \varlimsup _{k}\left\| f_{n_{k}}\right\| _{p}\left\| g-g^{\prime }\right\| _{p^{\prime }} \leqslant \left\| g-g^{\prime }\right\| _{p^{\prime }}

for every g,g′∈Gg, g^{\prime } \in \mathcal{G}.]

(d)

There exists a unique continuous function LL on Lp′L^{p^{\prime }} such that L=LGL=L_{\mathcal{G}} on G\mathcal{G}. [From advanced calculus, we know that a uniformly continuous function ψ\psi defined on a dense subset DD of a metric space (X,ρ)(X, \rho ) has a unique continuous extension to all of XX.]

(e)

For every g,g′∈Gg, g^{\prime } \in \mathcal{G} we have LG(g+g′)=LG(g)+LG(g′)L_{\mathcal{G}}(g+g^{\prime })=L_{\mathcal{G}}(g)+L_{\mathcal{G}}(g^{\prime }). [Direct verification.]

(f)

For every h,h′∈Lp′h, h^{\prime } \in L^{p^{\prime }} we have L(h+h′)=L(h)+L(h′)L(h+h^{\prime })=L(h)+L(h^{\prime }). [Let {gn}n=1∞\left\{ g_{n}\right\}_{n=1}^{\infty } denote a sequence in the dense collection G\mathcal{G} with gn→p′hg_{n} \xrightarrow {p^{\prime }} h; let {gn′}n=1∞\left\{ g_{n}^{\prime }\right\}_{n=1}^{\infty } denote a sequence in G\mathcal{G} with gn′→p′h′g_{n}^{\prime } \xrightarrow {p^{\prime }} h^{\prime }. Thus {gn+gn′}n=1∞\left\{ g_{n}+g_{n}^{\prime }\right\}_{n=1}^{\infty } is a sequence in G\mathcal{G} with gn+gn′→p′h+h′g_{n}+g_{n}^{\prime } \xrightarrow {p^{\prime }} h+h^{\prime }. Use the continuity of LL and (e) to verify the equation

L(h)+L(h′)=lim⁡nL(gn)+lim⁡nL(gn′)=lim⁡n[LG(gn)+LG(gn′)]=lim⁡nLG(gn+gn′)=L(h+h′). \begin{aligned} L(h)+L(h^{\prime }) & =\lim _{n} L(g_{n})+\lim _{n} L(g_{n}^{\prime }) \\ & =\lim _{n}[L_{\mathcal{G}}(g_{n})+L_{\mathcal{G}}(g_{n}^{\prime })] \\ & =\lim _{n} L_{\mathcal{G}}(g_{n}+g_{n}^{\prime }) \\ & =L(h+h^{\prime }). \end{aligned}

]

(g)

Directly verify that LG(cg)=cLG(g)L_{\mathcal{G}}(cg)=cL_{\mathcal{G}}(g) for every g∈Gg \in \mathcal{G} and c∈Rc \in \mathbb {R}. This in turn shows that L(cg)=cL(g)L(cg)=cL(g) for every c∈Rc \in \mathbb {R} and g∈Lp′g \in L^{p^{\prime }}. [The first part is easy. The second part is obtained in the same spirit as was (f).]

(h)

By (g), LL is a linear functional on Lp′L^{p^{\prime }}. Show in addition that LL is bounded with ∥L∥⩽1\left\| L\right\| \leqslant 1. [We already know that LL is continuous from (d); use the relevant claim from Section 8.8 to achieve boundedness. Next, pick h∈Lp′h \in L^{p^{\prime }}; let {gn}n=1∞\left\{ g_{n}\right\}_{n=1}^{\infty } denote a sequence in G\mathcal{G} with gn→p′hg_{n} \xrightarrow {p^{\prime }} h. Verify that

∣L(h)∣=lim⁡n∣L(gn)∣=lim⁡n∣LG(gn)∣⩽lim⁡n∥gn∥p′=∥h∥p′. \left|L(h)\right|=\lim _{n}\left|L(g_{n})\right|=\lim _{n}\left|L_{\mathcal{G}}(g_{n})\right| \leqslant \lim _{n}\left\| g_{n}\right\| _{p^{\prime }}=\left\| h\right\| _{p^{\prime }}.

]

(i)

We now invoke the Riesz Representation Theorem for the bounded linear functional LL on Lp′L^{p^{\prime }}, obtaining a function f∈Lpf \in L^{p} such that L(g)=∫fg dμL(g)=\int fg \, \mathrm{d} \mu for every g∈Lp′g \in L^{p^{\prime }}. Since ∥L∥⩽1\left\| L\right\| \leqslant 1, we have ∥f∥p=∥L∥⩽1\left\| f\right\|_{p}=\left\| L\right\| \leqslant 1 by Claim 1 of Section 8.9, hence f∈B1pf \in B_{1}^{p}. Recall the subsequence {nk}k=1∞\left\{ n_{k}\right\}_{k=1}^{\infty } given after part (b). Observe that for every g∈Gg \in \mathcal{G} we have

L(g)=∫fg dμ=LG(g)=lim⁡k∫fnkg dμ. L(g)=\int fg \, \mathrm{d} \mu =L_{\mathcal{G}}(g)=\lim _{k} \int f_{n_{k}} g \, \mathrm{d} \mu .

We have that {fnk}k=1∞\left\{ f_{n_{k}}\right\}_{k=1}^{\infty } converges weakly to ff, completing the proof. [Pick g′g^{\prime } in Lp′L^{p^{\prime }} and ε>0\varepsilon >0; find g∈Gg \in \mathcal{G} with ∥g−g′∥p′<ε3\left\| g-g^{\prime }\right\|_{p^{\prime }}<\frac{\varepsilon }{3}. Define αk=∣∫fnkg dμ−∫fg dμ∣\alpha_{k}=\left|\int f_{n_{k}} g \, \mathrm{d} \mu -\int fg \, \mathrm{d} \mu \right| for each k∈Nk \in \mathbb {N}, and observe that the above shows lim⁡kαk=0\lim_{k} \alpha_{k}=0. Verify that

∣∫fg′ dμ−∫fnkg′ dμ∣⩽∣∫fg′ dμ−∫fg dμ∣+αk+∣∫fnkg dμ−∫fnkg′ dμ∣⩽∫∣f∣∣g′−g∣ dμ+αk+∫∣fnk∣∣g′−g∣ dμ⩽∥f∥p∥g′−g∥p′+αk+∥fnk∥p∥g′−g∥p′⩽2ε3+αk. \begin{aligned} \left|\int fg^{\prime } \, \mathrm{d} \mu -\int f_{n_{k}} g^{\prime } \, \mathrm{d} \mu \right| & \leqslant \left|\int fg^{\prime } \, \mathrm{d} \mu -\int fg \, \mathrm{d} \mu \right|+\alpha _{k}+\left|\int f_{n_{k}} g \, \mathrm{d} \mu -\int f_{n_{k}} g^{\prime } \, \mathrm{d} \mu \right| \\ & \leqslant \int \left|f\right|\left|g^{\prime }-g\right| \, \mathrm{d} \mu +\alpha _{k}+\int \left|f_{n_{k}}\right|\left|g^{\prime }-g\right| \, \mathrm{d} \mu \\ & \leqslant \left\| f\right\| _{p}\left\| g^{\prime }-g\right\| _{p^{\prime }}+\alpha _{k}+\left\| f_{n_{k}}\right\| _{p}\left\| g^{\prime }-g\right\| _{p^{\prime }} \\ & \leqslant \frac{2\varepsilon }{3}+\alpha _{k}. \end{aligned}

For large enough kk we thus have ∣∫fg′ dμ−∫fnkg′ dμ∣<ε\left|\int fg^{\prime } \, \mathrm{d} \mu -\int f_{n_{k}} g^{\prime } \, \mathrm{d} \mu \right|<\varepsilon. Since g′∈Lp′g^{\prime } \in L^{p^{\prime }} is arbitrary, the entire proof is complete.]

Let (xi(n):i,n≥1)\left(x_{i}(n): i, n \geq 1\right) be a bounded collection of real numbers.

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(a)

Show that there exists an increasing sequence n1,n2,…n_{1}, n_{2}, \ldots of positive integers such that lim⁡r→∞xi(nr)\lim_{r \rightarrow \infty } x_{i}\left(n_{r}\right) exists for all ii.

(b)

Use this result to prove that, for an irreducible Markov chain, if it is not the case that pij(n)→0p_{i j}(n) \rightarrow 0 as n→∞n \rightarrow \infty for all ii and jj, then there exists a sequence (nr:r≥1)(n_{r}: r \geq 1) and a vector α(≠0)\mathbf{\alpha }( \neq \mathbf{0}) such that pij(nr)→αjp_{i j}\left(n_{r}\right) \rightarrow \alpha_{j} as r→∞r \rightarrow \infty for all ii and jj.

Let Ω=Xi∈NXi\Omega = X_{i \in \mathbb {N}} X_{i} be a product of metric spaces. Define Ωn=Xi≤nXi\Omega_{n} = X_{i \leq n} X_{i} and Sn=Xi≥nXiS_{n} = \mathrm{X}_{i \geq n} X_{i}. For each nn let KnK_{n} be a compact subset of Ωn\Omega_{n}, with the property that Hn:=∩i≤n(Ki×Si+1)≠∅H_{n}: = \cap_{i \leq n}\left(K_{i} \times S_{i+1}\right) \neq \emptyset for each finite nn. Write πi\pi_{i} for the projection map from Ω\Omega onto Ωi\Omega_{i}. Show that H:=∩i∈NHiH: = \cap_{i \in \mathbb {N}} H_{i} is a nonempty compact subset of Ω\Omega, by following these steps. (Remember, for metric spaces, compactness is equivalent to the property that each sequence has a convergent subsequence.)

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(i)

Let {zn:n∈N}\left\{ z_{n}: n \in \mathbb {N}\right\} be a sequence with zn∈Hnz_{n} \in H_{n}. Use compactness of each KiK_{i} to find subsequences N1⊇N2⊇N3⊇…\mathbb {N}_{1} \supseteq \mathbb {N}_{2} \supseteq \mathbb {N}_{3} \supseteq \ldots of N\mathbb {N} for which y(i):=lim⁡n∈Niπizny(i): = \lim_{n \in \mathbb {N}_{i}} \pi_{i} z_{n} exists, as a point of KiK_{i}. Define N∞\mathbb {N}_{\infty } to be the subsequence whose ii th member equals the ii th member of Ni\mathbb {N}_{i}. Show that lim⁡n∈N∞πizn=y(i)\lim_{n \in \mathbb {N}_{\infty }} \pi_{i} z_{n} = y(i) for every ii.

(ii)

Show that the first ii components of y(i+1)y(i+1) coincide with y(i)y(i) for each ii. Deduce that there exists a yy in Ω\Omega for which πiy=y(i)∈Ki\pi_{i} y = y(i) \in K_{i} for every ii. Deduce that y∈Hy \in H, and hence H≠∅H \neq \emptyset.

(iii)

Specialize to the case where zn∈Hz_{n} \in H for every nn. Show that there is a subsequence that converges to a point of HH.

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