A particle is moving in a straight line with velocity $v$ m s$^{-1}$ at time $t$ seconds as shown by the graph below - AQA - A-Level Maths Pure - Question 15 - 2020 - Paper 2
Question 15
A particle is moving in a straight line with velocity $v$ m s$^{-1}$ at time $t$ seconds as shown by the graph below.
Use the trapezium rule with four strips to est... show full transcript
Worked Solution & Example Answer:A particle is moving in a straight line with velocity $v$ m s$^{-1}$ at time $t$ seconds as shown by the graph below - AQA - A-Level Maths Pure - Question 15 - 2020 - Paper 2
Step 1
Use the trapezium rule with four strips to estimate the distance travelled by the particle during the time period 20 ≤ t ≤ 100
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Answer
To apply the trapezium rule, we first need to determine the values of the velocity at the given time intervals.
Determine the strip width: The time interval from 20 to 100 is h=4100−20=20 seconds.
Identify the corresponding y values:
When t=20, v=131 m/s
When t=40, v=140 m/s
When t=60, v=120 m/s
When t=80, v=80 m/s
When t=100, v=0 m/s
Apply the trapezium rule:
extArea=2h(y0+2y1+2y2+2y3+y4)
Where:
y0=131, y1=140, y2=120, y3=80, y4=0.
Substituting these values gives:
extArea=220(131+2×140+2×120+2×80+0)
Calculating this results in:
Area=10(131+280+240+160)=10×811=8110 meters
Therefore, the estimated distance travelled by the particle is 8110 meters.
Step 2
Explain how you could find an alternative estimate using this quadratic
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Answer
To find an alternative estimate using the quadratic model, you would follow these steps:
Formulate the quadratic equation that closely models the curve derived from the velocity graph over the range of interest. The general form of a quadratic equation is:
y=ax2+bx+c
where a, b, and c are constants determined from the known data points.
Integrate the quadratic function between the limits of integration 20 and 100 seconds:
Distance=∫20100(ax2+bx+c)dx
Evaluate the integral to find the total distance travelled over the time period. This method often provides a more accurate estimate compared to the trapezium rule, especially when the data can be well-represented by a continuous function.