{(-1)ⁿ} oscillates between -1 and 1 indefinitely and never settles near any single value. Boundedness is a necessary but not sufficient condition for convergence — the monotone convergence theorem requires both boundedness AND monotonicity. Since {(-1)ⁿ} is not monotone, the theorem does not apply.
Question 2 True / False
If the sequence {aₙ} converges to 0, then the series Σaₙ converges.
TTrue
FFalse
Answer: False
The harmonic series Σ(1/n) is the classic counterexample: the sequence {1/n} converges to 0, yet the series diverges (grows without bound). Sequence convergence and series convergence are different questions — sequence convergence asks whether individual terms approach a limit, while series convergence asks whether the running total of those terms approaches a finite sum.
Question 3 Short Answer
Give an example of a sequence that is bounded but does not converge, and explain why the monotone convergence theorem does not apply to it.
Think about your answer, then reveal below.
Model answer: The sequence {(-1)ⁿ} is bounded (|(-1)ⁿ| = 1 for all n) but diverges by oscillation. The monotone convergence theorem requires the sequence to be both bounded and monotone (non-decreasing or non-increasing). Since {(-1)ⁿ} alternates, it is not monotone, so the theorem does not apply.
This question targets a very common misconception. Boundedness alone only guarantees that subsequences converge (Bolzano-Weierstrass), not the sequence itself. Monotonicity is the second ingredient that rules out oscillation and forces convergence.