To model the situation with an exponential function, we can use the formula for exponential decay:
\[ P(t) = P_0 \times (1 - r)^t \]
Where:
- \( P(t) \) is the population at time \( t \),
- \( P_0 \) is the initial population,
- \( r \) is the rate of decay (expressed as a decimal),
- \( t \) is the time in years.
Given:
- Initial population \( P_0 = 6000 \),
- Rate of decay \( r = 0.03 \) (3%),
- Time \( t = 5 \) years.
Plugging in the values, we get:
\[ P(5) = 6000 \times (1 - 0.03)^5 \]
Calculating it step by step:
- Calculate \( 1 - 0.03 = 0.97 \).
- Raise \( 0.97 \) to the power of \( 5 \):
\[ 0.97^5 \approx 0.8597 \]
- Multiply by \( 6000 \):
\[ P(5) \approx 6000 \times 0.8597 \approx 5158.2 \]
Therefore, after five years, the population of the town will be approximately 5,158.
In summary, the exponential function representing the population decay scenario is:
\[ P(t) = 6000 \times (0.97)^t \]
And after 5 years, the population is approximately 5,158.