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Left sum over- or under-estimate on [0,4]

Consider the function f(x)=4x−x2f(x) = 4x - x^2 on the interval [0,4][0, 4], partitioned into n=8n = 8 equal subintervals.

The function f(x)=4x−x2f(x) = 4x - x^2 is used to approximate the area under its curve on [0,4][0,4] using a left-endpoint Riemann sum with n=8n = 8 subintervals of equal width Δx=0.5\Delta x = 0.5. Without computing the exact numerical value of the sum, determine whether this left-endpoint Riemann sum overestimates or underestimates the true area under ff on [0,4][0,4]. Justify your answer by discussing the behavior of ff on this interval.

Left sum over- or under-estimate on [0,4] graph
Hint

Think about where ff is increasing and where it is decreasing on [0,4][0,4], and recall how the shape (increasing vs. decreasing) of ff relates to whether a left-endpoint rectangle lies above or below the curve on each subinterval.

Step-by-step solution

First, note that f(x)=4x−x2f(x) = 4x - x^2 is a downward parabola with vertex at x=2x = 2, where f(2)=4f(2) = 4. On [0,2][0,2], ff is increasing, and on [2,4][2,4], ff is decreasing, so the behavior of ff changes at x=2x=2.

On the increasing portion [0,2][0,2], the left endpoint of each subinterval gives a smaller function value than points to its right, so the left-endpoint rectangles lie below the curve, underestimating area there. On the decreasing portion [2,4][2,4], the left endpoint gives a larger function value than points to its right, so the rectangles lie above the curve, overestimating area there.

To determine the overall effect, note that on [0,2][0,2], there are 4 subintervals of width 0.5 (from x=0x=0 to x=2x=2), and on [2,4][2,4], there are also 4 subintervals of width 0.5. The function f(x)=4x−x2f(x) = 4x - x^2 is symmetric about the line x=2x=2 in the sense that f(2−t)=f(2+t)f(2-t) = f(2+t) for all tt. This symmetry means that the underestimation error on the left half mirrors the overestimation error on the right half in magnitude. Since the two halves have equal width and the errors are equal in magnitude but opposite in sign, they cancel exactly. Therefore, the left-endpoint Riemann sum neither overestimates nor underestimates the true area; the two types of errors balance out.

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