Compare left, right, midpoint, and trapezoidal methods
Understand that as n→∞, all methods converge to the exact integral
Identify over- and under-estimates for increasing/decreasing functions
Key Equations
\(\displaystyle \sum_{i=1}^{n} f(x_i^*)\Delta x \approx \int_a^b f(x)\,dx\)
\(\Delta x = \frac{b-a}{n}\)
\(\text{Left: } x_i^* = a + (i-1)\Delta x\)
\(\text{Right: } x_i^* = a + i\Delta x\)
\(\text{Mid: } x_i^* = a + (i-\tfrac{1}{2})\Delta x\)
Why It Matters
Riemann sums are the foundation of integral calculus — they show how adding up infinitely many infinitesimal rectangles gives the exact area under a curve. This same idea powers numerical integration in science, engineering, and computer graphics.
Tags
Riemann sumintegrationdefinite integralareaAP Calculus AB
n6
Approx—
Exact—
Error—
Rectangles (n) 6
Left bound (a) 0
Right bound (b) 3
Method
Function
Calculated
Δx = —
Sum = —
Exact = —
Quick Quiz
For an increasing function, a left Riemann sum will: