6.2 The gradient of e^kx and the exponential model — Practise
Work through these on your own. Write down the constant in the exponent before you differentiate, and keep the constant in front of the function.
Both the questions and the answers below come from a set that is checked by computer every time the book is built.
- Differentiate .
- Differentiate .
- Differentiate .
- Differentiate .
- Differentiate .
- Find the gradient of at the point where .
- Find the gradient of at the point where .
- Show that satisfies the equation .
- A population is modelled by , where is in years. Find when .
- A mass is modelled by , where is in hours. Find when .
- Find the gradient of at the point where .
- Compare the gradients of and at .
Answers and concise solutions
1. The derivative
Answer: The derivative of is . Here , so . The curve climbs three times as fast as at every point.
2. The derivative
Answer: Here , so . The derivative is negative, which matches the falling curve.
3. The derivative
Answer: The constant stays in front, and the exponent gives a factor : .
4. The derivative
Answer: For a positive base , the derivative of is . So . The factor makes the curve a little less steep than .
5. The derivative
Answer: For the derivative is . Here and , so .
6. The gradient
Answer: The derivative is . At this is . The point on the curve is , and the tangent there has gradient .
7. The gradient
Answer: The derivative is . At this is . The negative gradient matches the falling curve.
8. The derivative
Answer: The derivative is . Since , this is exactly . The rate of change is three times the current value, which is the defining property of the exponential model.
9. The rate at
Answer: Differentiate: . At this is . The population grows by about individuals per year at the start.
10. The rate at
Answer: Differentiate: . At this is . The mass starts by falling at about units per hour, and the rate shrinks as the mass shrinks.
11. The gradient
Answer: The derivative is . At this is . The curve climbs half as fast as at every point, because .
12. The difference in gradient
Answer: The gradient of at is . The gradient of there is . So the second curve is twice as steep, and the difference is . Doubling the constant doubles the gradient at every point.