Diagonal argument
[10/30%]Let be a separable Hilbert space. Prove that any closed ball in is a weakly compact set (i.e., every bounded sequence in contains a weakly convergent subsequence).
Prove that if the sequence is uniformly bounded and equicontinuous (see problem 43) on the segment , then from it one can extract a subsequence that converges uniformly on this segment (Arzelà's theorem).
Let be an equicontinuous, uniformly bounded sequence of realvalued functions on . Prove that there is a subsequence that converges pointwise on to a continuous function on and that the convergence is uniform on bounded subsets of .
Show that , the collection of all sets of natural numbers, is uncountable.
Show that the Cartesian product of a finite collection of countable sets is countable. Use the preceding problem to show that , the collection of all mappings of into , is not countable.
Let be an equicontinuous, uniformly bounded sequence of continuous real-valued functions on . Show that there is a subsequence of that converges pointwise on to a continuous function on and that the convergence is uniform on each bounded subset of .
The following is an advanced calculus fact used in the next problem, often called the diagonal method. Suppose that each row of the array
is a bounded sequence of real numbers. Then there exists a strictly increasing sequence of positive integers such that exists for each .
The first row of the above array is a bounded sequence, and hence there is a convergent subsequence , where the sequence is strictly increasing and exists. Return to the original array and look at the second row along the sequence , so that we are considering the bounded sequence . Select from this bounded sequence a convergent subsequence; write it as . Observe the following: is a strictly increasing subsequence of , and exists. Continue on this process, obtaining a new 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 the limit exists. Therefore, for each we have that is a convergent sequence of the th row of the original array. Define for each . The 's are strictly increasing because each row of the new array is increasing and is contained in the preceding row. Also, is a subsequence of the th row of the new array for each . It follows that is a subsequence of for each in , so that exists for each .
Let denote a -finite measure space with . Further assume that is countably generated, which means that there is a countable class with . Let , so that is the unit ball in . We will show that is compact in the topology of weak convergence. That is, every sequence in contains a subsequence converging weakly to an element of .
has a countable dense subset, say . [Recall an approximation result from Chapter 8.]
Append to all finite rational linear combinations of its elements. We will refer to this augmented collection as ; [the augmented collection] is still countable. Next, let denote a sequence in .
For every , is a bounded sequence of real numbers with bound . From this we may deduce that is a bounded sequence of real numbers with bound for every .
Since is countable, there is a subsequence of the sequence such that exists for every . [This is a direct application of the diagonal method from advanced calculus: The array whose th row is , with an enumeration of , is bounded row by row, so Exercise 1 of this section applies.] Write for every ; Hölder's Inequality gives for every .
is uniformly continuous on its domain . [We have
for every .]
There exists a unique continuous function on such that on . [From advanced calculus, we know that a uniformly continuous function defined on a dense subset of a metric space has a unique continuous extension to all of .]
For every we have . [Direct verification.]
For every we have . [Let denote a sequence in the dense collection with ; let denote a sequence in with . Thus is a sequence in with . Use the continuity of and (e) to verify the equation
]
Directly verify that for every and . This in turn shows that for every and . [The first part is easy. The second part is obtained in the same spirit as was (f).]
By (g), is a linear functional on . Show in addition that is bounded with . [We already know that is continuous from (d); use the relevant claim from Section 8.8 to achieve boundedness. Next, pick ; let denote a sequence in with . Verify that
]
We now invoke the Riesz Representation Theorem for the bounded linear functional on , obtaining a function such that for every . Since , we have by Claim 1 of Section 8.9, hence . Recall the subsequence given after part (b). Observe that for every we have
We have that converges weakly to , completing the proof. [Pick in and ; find with . Define for each , and observe that the above shows . Verify that
For large enough we thus have . Since is arbitrary, the entire proof is complete.]
Let be a bounded collection of real numbers.
Show that there exists an increasing sequence of positive integers such that exists for all .
Use this result to prove that, for an irreducible Markov chain, if it is not the case that as for all and , then there exists a sequence and a vector such that as for all and .
Let be a product of metric spaces. Define and . For each let be a compact subset of , with the property that for each finite . Write for the projection map from onto . Show that is a nonempty compact subset of , by following these steps. (Remember, for metric spaces, compactness is equivalent to the property that each sequence has a convergent subsequence.)
Let be a sequence with . Use compactness of each to find subsequences of for which exists, as a point of . Define to be the subsequence whose th member equals the th member of . Show that for every .
Show that the first components of coincide with for each . Deduce that there exists a in for which for every . Deduce that , and hence .
Specialize to the case where for every . Show that there is a subsequence that converges to a point of .