Proposition Let (un) be a sequence taking values in a normed vector space. If (un) converges, then its averages converge to the same limit:
n→∞limn1k=1∑nuk=n→∞limun.
Proof Let (V,∥⋅∥) denote the underlying normed vector space and ℓ∈V denote the limit of (un). Let ε>0 be fixed. Since (un) converges to ℓ, there exists Nε≥0 such that ∥un−ℓ∥≤ε/2 for all n≥Nε. For all n≥Nε, we have
where Sε=∑k=1Nε∥uk−ℓ∥ is independent of n. Since Sε/n→0, there exists Nε′≥1 such that Sε/n≤ε/2 for all n≥Nε′. Observing that (n−Nε)/n≤1, we conclude that ∥∥n1∑k=1nuk−ℓ∥∥≤ε for all n≥max(Nε,Nε′). ■
Note that Césaro's lemma also holds for sequences taking values in the extended real line R≐R∪{−∞,+∞}.
Proof Suppose (un) converges to +∞. For all A>0, there exists NA≥1 such that un≥4A for all n≥NA. Then,
where SA=∑k=1Nuk is independent on n. Since SA/n→0, there exists NA′≥1 such that SA/n≥−A for all n≥NA′. Since (n−NA)/n→1, there exists NA′′≥1 such that (n−NA)/n≥1/2 for all n≥NA′′. Choosing n≥max(NA,NA′,NA′′), we find n1∑k=1nuk≥A, so the averages of (un) converge to +∞.
The same reasoning applies if (un) converges to −∞. ■
It is natural to ask whether there exists a converse to Cesàro's lemma: if the averages of a sequence converge, does the sequence itself converge? This cannot be true without further asumptions: taking un=(−1)n, the Cesàro averages converge to 0, but (un) does not converge.
In the case of real-valued sequences, a simple converse is the following.
Proposition Suppose (un) is a monotonous, real-valued sequence such that its averages converge. Then (un) converges to the same limit as its averages:
n→∞limun=n→∞limn1k=1∑nuk.
Proof By the monotone convergence theorem for real-valued sequences, we infer that (un) converges to some ℓ∈R. By Cesàro's lemma, the averages of (un) also converge to ℓ. ■
With a stronger assumption, one can show the following converse, known as the weak version of Hardy's theorem. Morally, if the averages of a sequence converge and the successive terms of the sequence accumulate increasingly fast, then the sequence converges.
Proposition Let (un) be a sequence that takes values in a normed vector space. Suppose that the averages of (un) converge to ℓ and that (un+1−un)=o(1/n). Then (un) converges to ℓ.
Proof Introduce v1=u1 and vn=un−un−1. Then rewrite
We have assumed (j−1)vj→0, so by Cesàro's lemma, we infer n1∑j=1n(j−1)vj→0.
Let ε>0. By the above, there exists Nε≥1 such that ∥∥un−n1∑k=1nuk∥∥≤ε/2 for all n≥Nε. Since the averages of (un) converge to ℓ, there exists Nε′ such that ∥∥n1∑k=1nuk−ℓ∥∥≤ε/2 for all n≥Nε′. We conclude that
Hardy's theorem has a stronger version that only requires that the successive terms accumulate at a rate 1/n.
Proposition Let (un) be a sequence that takes values in a normed vector space. Suppose that the averages of (un) converge to ℓ and that (un+1−un)=O(1/n). Then (un) converges to ℓ.
where we used 1/j≤ln(j)−ln(j−1), and the fact that the term corresponding to j=n is zero. Introduce an=n1∑k=1nuk such that (an) converges to ℓ. We now decompose
Choose m(n)=1+⌊γn⌋ for some γ>1, so that the first term is bounded by Klnγ. Now let ε>0 and choose γε such that Klnγε≤ε/2. Let αε>0. Since (an)→ℓ, there exists Nε such that ∥an−ℓ∥≤αεε for all n≥Nε, and therefore
Cesàro's lemma is very useful when applied to telescoping sequences. If (un) converges to 0, it is sometimes easy to show that the sequence (vn) defined by vn≐un+1α−unα converges to a finite and non-zero limit ℓ for some appropriate choice of α<0. Cesàro's lemma then provides
n1(unα−u0α)=n1k=0∑n−1vk→ℓ,
which shows that unα∼ℓn; that is, un∼(ℓn)1/α. Importantly, Cesaro's lemma is used in the method of small steps, see this note.
More generally, if there exists a function f:R→R such that vn≐f(un+1)−f(un) converges to ℓ∈R\{0}, then the same method shows f(un)/n∼ℓ.
If (un) is positive and un+1/un→ℓ, then taking f=ln shows ln(un)∼ln(ℓ)n, therefore ln(un)/n∼ln(ℓ). Composing by the exponential, we reach un1/n∼ℓ.