Sequences and Series
1. Definitions and Key Concepts
- Sequence: An ordered list of numbers following a specific pattern (e.g., a1,a2,a3,…).
- Series: The sum of terms in a sequence (e.g., Sn=a1+a2+⋯+an).
2. Types of Sequences
-
Arithmetic Sequence
- Each term differs by a constant d (common difference).
- General term: an=a1+(n−1)d.
- Example: 2,5,8,11,… (d=3).
-
Geometric Sequence
- Each term is multiplied by a constant r (common ratio).
- General term: an=a1⋅rn−1.
- Example: 3,6,12,24,… (r=2).
-
Special Sequences
- Fibonacci: Fn=Fn−1+Fn−2, with F1=1,F2=1.
- Quadratic/Cubic: Defined by polynomial rules (e.g., an=n2).
3. Types of Series
-
Finite Series
- Sum of a limited number of terms.
- Arithmetic Series Sum: Sn=2n(2a1+(n−1)d).
- Geometric Series Sum: Sn=a11−r1−rn (r=1).
-
Infinite Series
- Sum of infinitely many terms (converges if sum approaches a finite limit).
- Geometric Series Convergence: S=1−ra1 (if ∣r∣<1).
4. Convergence Tests for Infinite Series
- Divergence Test: If limn→∞an=0, the series diverges.
- Integral Test: If f(n)=an is positive and decreasing, ∑an converges iff ∫f(x)dx converges.
- Comparison Test: Compare to a known convergent/divergent series.
- Ratio Test: For ∑an, if lim∣an+1/an∣<1, it converges.
5. Power Series and Taylor Expansions
- Power Series: ∑n=0∞cn(x−a)n.
- Taylor Series: Represents functions as infinite sums:
f(x)=∑n=0∞n!f(n)(a)(x−a)n.
- Maclaurin Series (case where a=0):
Example: ex=∑n=0∞n!xn.
6. Applications
- Finance: Compound interest (geometric series).
- Physics: Fourier series for wave analysis.
- Computer Science: Algorithm analysis (summing operation counts).
7. Key Formulas
- Sum of First n Natural Numbers: ∑k=1nk=2n(n+1).
- Sum of Squares: ∑k=1nk2=6n(n+1)(2n+1).
- Harmonic Series: ∑k=1∞k1 diverges.
8. Practical Problem-Solving Steps
- Identify the pattern (arithmetic/geometric/other).
- Write the general term an.
- For series, apply summation formulas or tests for convergence.
Sequences and series form the backbone of calculus, discrete mathematics, and analytical problem-solving, with wide-ranging theoretical and practical implications.