Generating Functions
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# Generating Functions ## 4.1 Intuition: Encoding Sequences as Power Series A generating function wraps an entire sequence into a single algebraic expression. Operations on the series translate to operations on the sequence.

Generating Functions
4.1 Intuition: Encoding Sequences as Power Series
A generating function wraps an entire sequence into a single algebraic expression. Operations on the series translate to operations on the sequence.
🔑 Key Insight: Generating functions turn combinatorial problems into algebra problems.
4.2 Ordinary Generating Functions (OGF)
For sequence {an}: G(x)=∑n=0∞anxn
Key OGFs
- ∑n=0∞xn=1−x1
- ∑n=0∞(k−1n+k−1)xn=(1−x)k1
- ∑n=0∞nxn=(1−x)2x
- ∑n=0∞(nm)xn=(1+x)m
4.3 Using OGF to Solve Recurrences
Example: Fibonacci Fn=Fn−1+Fn−2
Let G(x)=∑Fnxn. G(x)=F0+F1x+∑n=2∞(Fn−1+Fn−2)xn =0+x+x∑n=1∞Fnxn+x2∑n=0∞Fnxn =x+xG(x)+x2G(x) G(x)(1−x−x2)=x G(x)=1−x−x2x
4.4 Exponential Generating Functions (EGF)
E(x)=∑n=0∞ann!xn
EGF is natural for labeled structures (permutations, sets).
✅ Practice Questions
Q1: Find the OGF for an=2n.
SolutionG(x)=∑2nxn=∑(2x)n=1−2x1. Q2: Find the coefficient of x5 in (1−x)−3. Solution(1−x)−3=∑(2n+2)xn. Coefficient of x5: (27)=21. Join Discord PreviousRecurrence ApplicationsNextGraph Theory Basics