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Question 9
In a simple model, the value, \( V \), of a car depends on its age, \( t \), in years. The following information is available for car A - its value when new is £20... show full transcript
Step 1
Answer
To model the value of car A using an exponential function, we can use the general form: [ V = A e^{-kt} ] where ( A ) represents the initial value (when new) and ( k ) is the depreciation constant.
Given that the value when new is ( V(0) = 20000 ) pounds and the value after one year is ( V(1) = 16000 ) pounds, we can set up the equation:
[ 16000 = 20000 e^{-k(1)} ]
To find ( k ), solve for it:
[ e^{-k} = \frac{16000}{20000} = 0.8 ]
Taking the natural logarithm:
[ -k = \ln(0.8) \implies k = -\ln(0.8) ]
Thus, the model for car A can be expressed as: [ V(t) = 20000 e^{-\ln(0.8)t} ]
or more simply: [ V(t) = 20000 \times 0.8^t ]
Step 2
Answer
Over a 10-year period, the value of car A is monitored and found to be ( V(10) = 2000 ) pounds.
Using our model: [ V(10) = 20000 \times 0.8^{10} \approx 20000 \times 0.1074 \approx 2148 \text{ pounds} ]
Comparing this with the observed value after 10 years, which is 2000 pounds, we find that the model predicts a value of approximately 2148 pounds.
Hence, while the model is not perfectly accurate, it does provide a reasonable estimate, indicating that it is fairly reliable.
Step 3
Answer
For car B, which depreciates more slowly than car A, we will adjust the depreciation constant ( k ). Assuming that car B has the same initial value as car A, the modified model could be:
[ V_B(t) = 20000 e^{-kt} ]
where ( k ) is now less than the value found for car A (( k < -\ln(0.8) )).
Thus, we can say: [ V_B(t) = 20000 \times 0.9^t ]
if we assume a depreciation rate of 10% per year, as an example.
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