Growth vs Decay Examples in Math
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Growth vs Decay.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in Math.
Concept Recap
Exponential growth occurs when a quantity multiplies by a factor > 1 repeatedly; exponential decay when it multiplies by a factor between 0 and 1.
Growth compounds: each period's increase is larger than the last. Decay shrinks: each period's decrease is smaller than the last, never quite reaching zero.
Read the full concept explanation โHow to Use These Examples
- Read the first worked example with the solution open so the structure is clear.
- Try the practice problems before revealing each solution.
- Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea: f(t) = A \cdot b^t with b > 1 gives growth; 0 < b < 1 gives decay. The key is whether the multiplier per time step is above or below 1.
Common stuck point: Exponential growth eventually dominates any polynomial โ b^x eventually overtakes x^{100} for any b > 1, no matter how large the polynomial degree.
Sense of Study hint: Ask yourself: what happens to the output when I double the input? If it multiplies by a fixed factor greater than 1, it is growth; less than 1, it is decay.
Worked Examples
Example 1
easySolution
- 1 (a) Base b=2>1: exponential growth. f(3)=4\cdot8=32.
- 2 (b) Base b=0.5, 0<0.5<1: exponential decay. g(3)=100\cdot(0.5)^3=100\cdot0.125=12.5.
- 3 Interpretation: (a) doubles with each unit increase; (b) halves with each unit increase.
Answer
Example 2
mediumPractice Problems
Try these problems on your own first, then open the solution to compare your method.
Example 1
easyExample 2
hardRelated Concepts
Background Knowledge
These ideas may be useful before you work through the harder examples.