Unit 2: Exponential & Logarithmic Functions
Geometric Sequences
Connecting geometric sequences to exponential growth and decay.
When Ratios Stay Constant Instead of Differences
Constant differences in a table exposed a polynomial's degree. Before reading on: what would it mean, instead, if the ratio between consecutive outputs in a table stayed constant?
Definition — Geometric Sequence
A geometric sequence is exactly what you get from sampling an exponential function f(x) = a · bˣ at whole-number inputs — the constant ratio r is just the base b. That's why exponential functions have their own version of the constant-differences test from Unit 1: instead of constant differences over equal-width input intervals, exponential functions have constant ratios over equal-width input intervals. Multiplication takes the place addition held for polynomials.
Worked Example — Finding a Geometric Sequence's Formula
Worked Example — Confirming a Constant Ratio from a Function
Tip
Common Mistakes
Subtracting consecutive terms of a geometric sequence and expecting a constant difference.
A geometric sequence's differences generally aren't constant — only its ratios are. Divide, don't subtract, when testing for a geometric pattern.
Reading a ratio like r = 0.85 as '85% growth' instead of '15% decay.'
A ratio below 1 signals decay: r = 1 − (decay rate), so r = 0.85 means the quantity loses 15% each step, not gains 85%.
Key Takeaways
- A geometric sequence has a constant ratio r between consecutive terms: aₙ = a₁ · rⁿ⁻¹.
- Sampling an exponential function f(x) = a · bˣ at whole-number inputs produces a geometric sequence with ratio r = b.
- Constant ratios over equal-width input intervals are the exponential-function counterpart to a polynomial's constant differences.
Summary
Geometric sequences are exponential functions viewed one step at a time. The next lesson builds a full exponential model from a growth rate or a pair of data points, the same way a sequence's ratio and first term build its explicit formula.
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