Notes on Sequences, Difference Tables, and Pattern Finding
- Sequences are ordered lists of numbers; difference tables help identify patterns and predict terms.
- Definitions:
- First difference: Δa<em>n=a</em>n+1−an
- Second difference: Δ2a<em>n=Δa</em>n+1−Δan
- Core Idea: If a difference row becomes constant, the sequence is generated by a polynomial of degree equal to that level (e.g., constant first diffs ⇒ linear; constant second diffs ⇒ quadratic).
- Consistency in subtraction direction is crucial.
- Extending the table: Constant differences can be used to reconstruct higher-difference values and predict next terms.
- Conceptual Takeaway:
- If Δa<em>n is constant, a</em>n is linear: a<em>n=a</em>1+(n−1)d.
- If Δ2a<em>n is constant, a</em>n is quadratic: an=An2+Bn+C.
- Higher constant differences imply higher-degree polynomial rules.
- Important Terminology:
- Explicit (n-term) formula: Directly gives a<em>n as a function of n. (e.g., a</em>n=3n−1)
- Recursive (n-term) definition: Defines a<em>n in terms of previous terms. (e.g., Fibonacci: f</em>n=f<em>n−1+f</em>n−2)
Examples Illustrating the Ideas
- Example A: Arithmetic-like (2, 5, 8, 11, 14, …)
- First differences: 3 (constant) ⇒ Linear.
- Explicit formula: an=2+(n−1)×3=3n−1.
- Example B: Quadratic (1, 7, 17, 31, …)
- First differences: 6, 10, 14, …
- Second differences: 4, 4, … (constant) ⇒ Quadratic.
- Explicit formula: an=2n2−1.
- Example D: Fibonacci-like (1, 1, 2, 3, 5, 8, …)
- Recursive definition: f<em>n=f</em>n−1+f<em>n−2 with f</em>1=1,f2=1.
- This sequence does not typically yield constant differences using basic methods.
- Recurrence: Good for showing how terms relate; requires prior terms to compute later ones.
- Explicit: Directly computes any term; better for analysis and prediction.
How to use difference tables to predict the next term
- Compute differences until a constant row is found.
- Extend the constant row and propagate values upwards to find the next term in the original sequence.
- Caveats: Not all sequences have constant differences (e.g., non-polynomial rules like exponential or factorial).