Exercise 1.5.3 (Convergence for step functions)

Let (X,,μ) be a measurable set. Let (f )n be a sequence of functions defined by

fn : X [0,+),fn = An 1En

for measurable sets (E)n of non-zero measure μ(En) > 0 and some positive reals (A)n which either converge to zero ( lim nAn = 0) or are bounded away from zero (c > 0 such that n : An > C).

Establish the following claims:

(i)
(f )n converges uniformly to zero if and only if An 0 as n .
(ii)
(f )n converges in L norm to zero if and only if An 0 as n .
(iii)
(f )n converges almost uniformly to zero if and only if An 0 as n or μ(EN) 0 as N .
(iv)
(f )n converges pointwise to zero if and only if An 0 as n or N=1EN = .
(v)
(f )n converges pointwise almost everywhere to zero if and only if (A)n 0 as n or N=1EN is a null set.
(vi)
(f )n converges in measure to zero if and only if (A)n 0 as n or μ(En) 0 as n .
(vii)
(f )n converges in L1 norm to zero if and only if Anμ(En) 0 as n .

Answers

(i)
First, suppose that (f )n uniformly converges to zero, i.e., for every x X we have 𝜖 > 0 there exists a N such that for all n N it is true that An 1En(x) 𝜖. In particular, set 𝜖 < 1, and choose an x En. Then An 1En(x) = An should also be less that 𝜖, and so (A)n 0.
Conversely, suppose that (A)n 0. Then for any x X and any 𝜖 > 0 we either have An 1En(x) An for which we have a N such that n N it is An 𝜖, and so is An 1En(x) 𝜖.
(ii)
Suppose that (f )n converges to 0 almost everywhere uniformly. In particular, it converges uniformly on XE for some null set E X, and so An 0 by the previous part.
Conversely, if An 0 as n , then (f )n converges to 0 uniformly by part (i) of this exercise, and thus, in particular it converges uniformly almost everywhere to 0.
(iii)
Suppose that (f )n converges to 0 almost uniformly, i.e., for every 𝜖 > 0 there exists a set E B such that μ(E) 𝜖 and (fn XE)n converges to 0 uniformly. Again, by part (i) we trivially have (A)n 0 as a consequence of choosing any arbitrary 𝜖.
Conversely, suppose that (A)n 0. Then (f )n converges to 0 uniformly, in particular, almost uniformly.
(iv)
Suppose that (f )n converges to 0 pointwise, i.e., for all x X we have An 1En(x) 0. Notice that we have two cases. (1) 1E converges to 0 for all x X. In the case of the indicator function, this is equivalent to saying that for all x X it is true that 1En(x) = 0 for all n N after some N . In other words, for each x X there exists a N such that x nNEn. But this would imply that N=1 nNEn = N=1En = , as desired. Thus, we at least have the vanishing of the support. (2) In the second case, suppose that there exists a x X for which 1E does not converge to zero. In the case of the indicator function, this is equivalent to saying that for infinitely many n we have 1En(x) = 1. But for any 𝜖 > 0 we can find a N such that for all n N: An 1En 𝜖. This is only possible when An 𝜖 for all n N, and so we get (A)n 0.
Now suppose conversely that either (A)n 0 or N=1EN = . In the first case, (f )n converges to 0 uniformly by part (i), and so it converges to zero pointwise. In the latter case, we have = N=1 nNEn N=1E n = ,

and so lim n1En(x) = 0 for any x X. From this, we easily conclude that fn(x) = An1En(x) 0 for any x X.

(v)
Suppose that f converges pointwise almost everywhere to 0, i.e., for a null set F B we have (fn XE)n converges pointwise everywhere to 0 on XE. By the previous part, this has one (also maybe both) of the two implications. (1) (A)n 0 as n , as desired. (2) For (fn XE)(x) = (An 1En XE)(x) = (An 1EnE)(x) we have = N=1 nN(EnE) = ( N=1 nNEn) E, or in other words, taking unions from both sides we obtain N=1En E, for the null set E, as desired.
Now suppose conversely one of the opposite statements. In case of (A)n 0, (f )n converges to 0 pointwise by the previous part. Now suppose that N=1En is a null set. Then pretty straigthforwardly it follows that x X N=1En : 1En(x) 1En(x) 0, which is almost everywhere.
(vi)
Suppose that (f )n converges to 0 in measure, i.e., for any arbitrary δ > 0 we have lim nμ ( {x X : An1En(x) δ}) = 0

Suppose for the sake of contradiction that both (A)n is bounded away from zero, and that lim nμ(En)0. Set δ := liminf nAn. We then have

μ ( {x X : 1En(x) δ An }) = μ ( {x X : 1En(x) = 1}) = μ(En)

The last term does not converge to 0 as n - a contradiction.
Fix an arbitrary δ > 0 in μ ( {x X : An1En(x) δ}) and suppose conversely that (A)n 0. Then, for our δ > 0 we can find a N such that for all n N (and for all x X) we have An 1En(x) An < δ, making the set {x X : An1En(x) δ} eventually empty.
Now suppose that μ(En) 0 as n . Notice that by positivity of δ for any x X we have An1En(x) δ1En(x) = 1, alas

μ ( {x X : An1En(x) δ}) μ ( {x X : 1En(x) = 1}) = μ(En) 0.

(vii)
Suppose that (f )n converges to 0 in L1-norm. By Exercise 1.5.2 this implies that (f )n converges to 0 in measure, and thus both (A)n and μ(En) converge to 0, meaning their product converges to 0 as well.
Conversely, suppose that Anμ(En) converges to 0. But An μ(En) = An 1En = fn = |fn 0|

and so (f )n converges in L1 norm to 0.

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2020-10-14 00:00
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