๐ŸŽฏโญ INTERACTIVE LESSON

Infinite Sequences

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Infinite Sequences - Complete Interactive Lesson

Part 1: Sequence Basics

Infinite Sequences

Part 1 of 7 โ€” Definition & Convergence

What Is a Sequence?

An ordered list of numbers: a1,a2,a3,ldotsa_1, a_2, a_3, ldots or ann=1infty{a_n}_{n=1}^{infty}

Convergence

A sequence an{a_n} converges to LL if:

limnoinftyan=Llim_{n o infty} a_n = L

If no such LL exists, the sequence diverges.

Examples

SequenceLimitConverges?
an=1/na_n = 1/n00Yes
an=(โˆ’1)na_n = (-1)^nDNENo
an=(1+1/n)na_n = (1 + 1/n)^neeYes
an=n2a_n = n^2inftyinftyNo

Sequence Convergence ๐ŸŽฏ

Key Takeaways โ€” Part 1

  1. A sequence is a function on the natural numbers
  2. "Converges" means the limit exists and is finite

Part 2: Convergence & Divergence

Infinite Sequences

Part 2 of 7 โ€” Bounded & Monotonic Sequences

Monotone Convergence Theorem

If a sequence is bounded and monotonic, it converges.

  • Monotonic increasing: an+1geqana_{n+1} geq a_n for all nn
  • Monotonic decreasing: an+1leqana_{n+1} leq a_n for all nn
  • Bounded: there exist M,mM, m such that mleqanleqMm leq a_n leq M

Squeeze Theorem for Sequences

If bnleqanleqcnb_n leq a_n leq c_n and limbn=limcn=Llim b_n = lim c_n = L, then liman=Llim a_n = L.

Bounded & Monotonic ๐ŸŽฏ

Key Takeaways โ€” Part 2

Bounded + Monotonic โ†’ Converges. Squeeze Theorem works for sequences too!

Part 3: Bounded & Monotonic

Infinite Sequences

Part 3 of 7 โ€” Geometric & Recursive Sequences

Geometric Sequences

an=a1cdotrnโˆ’1a_n = a_1 cdot r^{n-1}

Converges to 00 if โˆฃrโˆฃ<1|r| < 1, diverges if โˆฃrโˆฃgeq1|r| geq 1 (except r=1r = 1, const).

Recursive Sequences

Defined by a recurrence: an+1=f(an)a_{n+1} = f(a_n)

To find the limit LL: set L=f(L)L = f(L) and solve.

Geometric/Recursive ๐ŸŽฏ

Key Takeaways โ€” Part 3

For recursive sequences: set L=f(L)L = f(L) and solve for LL.

Part 4: Recursive Sequences

Infinite Sequences

Part 4 of 7 โ€” Growth Rate Hierarchy

Dominance Hierarchy (noinftyn o infty)

lnnllnpllanlln!llnnln n ll n^p ll a^n ll n! ll n^n

(for p>0p > 0, a>1a > 1)

This means: log grows slowest, then polynomial, exponential, factorial, nnn^n grows fastest.

Example

lim_{n o infty} rac{n^{100}}{2^n} = 0 because exponential beats any polynomial.

Growth Rates ๐ŸŽฏ

Key Takeaways โ€” Part 4

lnโกnโ‰ชnpโ‰ชanโ‰ชn!โ‰ชnn\ln n \ll n^p \ll a^n \ll n! \ll n^n

Part 5: Limit of a Sequence

Infinite Sequences

Part 5 of 7 โ€” Sequences vs. Series

Critical Distinction

  • Sequence: the list a1,a2,a3,ldotsa_1, a_2, a_3, ldots โ†’ does ana_n approach a limit?
  • Series: the sum sumn=1inftyansum_{n=1}^{infty} a_n โ†’ does the sum converge?

Divergence Test Preview

If limnoinftyaneq0lim_{n o infty} a_n eq 0, then sumansum a_n diverges.

But liman=0lim a_n = 0 does NOT guarantee convergence! (sum1/nsum 1/n diverges.)

Sequences vs Series ๐ŸŽฏ

Key Takeaways โ€” Part 5

Sequence convergence and series convergence are different questions!

Part 6: Problem-Solving Workshop

Infinite Sequences

Part 6 of 7 โ€” Practice Workshop

Mixed Practice ๐ŸŽฏ

Workshop Complete!

Part 7: Review & Applications

Infinite Sequences โ€” Review

Part 7 of 7 โ€” Final Assessment

Final Assessment ๐ŸŽฏ

Infinite Sequences โ€” Complete! โœ