Deducing Curve Shape from Definite Integral Estimates

In summary, the shape of the curve must have a concave down shape, with a slight dip at the midpoint and a steeper dip at the quarter-intervals, in order for the trapezium rule with 2 intervals to overestimate the area and the rule with 4 intervals to underestimate it. This can be visualized by connecting the dots on the curve with straight lines and noticing how the trapezoids formed would have a larger area than the actual curve at the midpoint, but a smaller area when the quarter-interval points are added.
  • #1
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I am asked to deduce the shape of a curve by knowing the following:

The estimate of the definite integral for the area using the trapezium rule with 2 intervals of equal widths is above the real value.

The estimate of the definite integral for the area using the trapezium rule with 4 intervals of equal widths is below the real value.

Can anyone help with this problem?

Thanks
 
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  • #2
I believe you mean the Trapezoid Rule. Consider that this method estimates the definite integral for a function by placing points on the curve for f(x) and essentially 'connecting the dots' with straight lines.

You will have a 'dot' at the start of the interval for integration, some dots in between, and one at the end of the interval. So you're looking for a shape for the f(x) curve so that when one dot is added on the curve at the midpoint of the interval, the area of the trapezoids created exceeds the area under the curve. Yet, when dots are also added at the quarter-intervals, the total area of all four trapezoids is now less than the area under the curve.

Try out some curve shapes between the two endpoints and see what might fit this description...
 
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Related to Deducing Curve Shape from Definite Integral Estimates

1. What is the purpose of deducing curve shape from definite integral estimates?

The purpose of deducing curve shape from definite integral estimates is to understand the behavior and characteristics of a curve by using mathematical techniques. This process allows scientists to make predictions and analyze data in a more precise and quantitative manner.

2. How do you use definite integral estimates to determine the shape of a curve?

To determine the shape of a curve using definite integral estimates, the first step is to approximate the curve by dividing it into smaller sections. Then, the area under each section is calculated using definite integrals. By comparing the values of the definite integrals, the shape of the curve can be deduced.

3. What are some limitations of deducing curve shape from definite integral estimates?

One limitation is that the accuracy of the deduced curve shape is dependent on the precision of the definite integral estimates. Small errors in the estimates can lead to significant differences in the deduced shape. Additionally, this method may not work well for complex or irregular curves.

4. How does the choice of definite integral method affect the deduced curve shape?

The choice of definite integral method can greatly affect the deduced curve shape. For example, using the midpoint rule will result in a different curve shape than using the trapezoidal rule. It is important to carefully consider the appropriate method to use based on the characteristics of the curve being analyzed.

5. What are some real-world applications of deducing curve shape from definite integral estimates?

This technique has numerous applications in fields such as physics, engineering, finance, and biology. Some examples include determining the velocity and acceleration of an object by analyzing its position graph, estimating the volume of an irregularly shaped object, and modeling population growth in ecology.

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