What is a sequence?
A numerical sequence is a function u:NβR that maps an integer n to a real number unβ.
Notation: (unβ)nβNβ or simply (unβ).
Two ways to define a sequence
Explicit: unβ=f(n). Example: unβ=2n+1.
Recursive: u0β given and un+1β=f(unβ). Example: u0β=1, un+1β=2unβ+1.
Monotonicity
- (unβ) increasing if un+1ββ₯unβ for all n.
- (unβ) decreasing if un+1ββ€unβ.
- (unβ) constant if un+1β=unβ.
Method: study the sign of un+1ββunβ, or (if unβ>0) compare unβun+1ββ to 1.
Arithmetic sequences
un+1β=unβ+r where r is the common difference.
Explicit form: unβ=u0β+nβ
r (or unβ=upβ+(nβp)β
r).
Sum: k=0βnβukβ=(n+1)β
2u0β+unββ.
Geometric sequences
un+1β=qβ
unβ where q is the common ratio.
Explicit form: unβ=u0ββ
qn (or unβ=upββ
qnβp).
Sum (qξ =1): k=0βnβukβ=u0ββ
1βq1βqn+1β.
Limit of a sequence
- (unβ) converges to β if unβ gets arbitrarily close to β as nβ+β. We write limunβ=β.
- (unβ) diverges to +β if unβ becomes arbitrarily large.
Reference limits
| Sequence | Limit |
|---|
| 1/n | 0 |
| qn if $ | q |
| qn if q>1 | +β |
| qn if qβ€β1 | diverges, no limit |
| nβ | +β |
Convergence theorems
Monotone convergence: Any increasing and bounded above sequence converges. Any decreasing and bounded below sequence converges.
Squeeze theorem: If vnββ€unββ€wnβ and vnβ,wnβββ, then unβββ.
Proof by induction
To show P(n) true for all nβ₯n0β:
- Base case: check P(n0β).
- Inductive step: assume P(n) true, show P(n+1).
- Conclusion: P(n) is true for all nβ₯n0β.
Common mistakes
- Confusing explicit and recursive sequences.
- Dividing by unβ without checking unβξ =0 in geometric sequences.
- Skipping the base case in induction.
- Writing limunββ
vnβ=limunββ
limvnβ without checking hypotheses (βΓ0 is indeterminate).