Exponential Growth and Decay

Model exponential growth and decay situations with equations and graphs.

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Exponential Growth and Decay

Exponential Functions

f(x)=abxf(x) = a \cdot b^x

  • aa = initial value (y-intercept)
  • bb = growth/decay factor
  • b>1b > 1: exponential growth
  • 0<b<10 < b < 1: exponential decay

Exponential Growth

y=a(1+r)ty = a(1 + r)^t

  • aa = initial amount
  • rr = growth rate (as a decimal)
  • tt = time
  • (1+r)(1 + r) = growth factor

Example: A population of 500 grows at 3% per year: y=500(1.03)ty = 500(1.03)^t

After 10 years: y=500(1.03)10672y = 500(1.03)^{10} \approx 672

Exponential Decay

y=a(1r)ty = a(1 - r)^t

  • (1r)(1 - r) = decay factor

Example: A car worth $25,000 depreciates at 15% per year: y=25000(0.85)ty = 25000(0.85)^t

After 5 years: y = 25000(0.85)^5 \approx \11,093$

Compound Interest

A=P(1+rn)ntA = P\left(1 + \frac{r}{n}\right)^{nt}

  • PP = principal (initial investment)
  • rr = annual interest rate
  • nn = times compounded per year
  • tt = years

Graphs of Exponential Functions

Growth (b>1b > 1): Curve goes up, gets steeper Decay (0<b<10 < b < 1): Curve goes down, flattens out

Both have:

  • Horizontal asymptote at y=0y = 0
  • Y-intercept at (0,a)(0, a)
  • Domain: All real numbers
  • Range: y>0y > 0 (if a>0a > 0)

Comparing Linear vs. Exponential

| Feature | Linear | Exponential | |---------|--------|-------------| | Rate of change | Constant | Increasing/decreasing | | Equation | y=mx+by = mx + b | y=abxy = ab^x | | Graph | Straight line | Curve | | Eventually wins? | No | Always grows faster |

Key insight: Exponential functions eventually grow faster than ANY linear function, no matter how steep the line.

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