Setting up the Riemann sum. Let f(x) be a real-valued, bounded function on the closed interval [a,b], a<b. Unlike in a first geometric picture, f(x) need not keep the same sign throughout [a,b] — it may take both positive and negative values.
Partition [a,b] into n subintervals [x0,x1],[x1,x2],…,[xn−1,xn] with
a=x0<x1<x2<⋯<xn−1<xn=b.
In each subinterval [xi−1,xi], i=1,…,n, choose an arbitrary point ξi with xi−1≤ξi≤xi, and form the sum
This is called a Riemann sum of f(x) for the given partition. Because ξi can be any point of [xi−1,xi], there are infinitely many different Riemann sums for the same partition.
Definition of the Riemann (definite) integral. If, as n→∞ with max(xi−xi−1)→0 (the widest subinterval shrinking to zero), the sum in (1) tends to a single finite value A — regardless of how the partition and the points ξi were chosen — then A is called the definite integral of f with respect to x on [a,b], also called the Riemann integral, denoted
∫abf(x)dx,
read "the integral of f(x) with respect to x from a to b". When a=b, ∫aaf(x)dx=0.
Note
This chapter works with f(x) continuous on [a,b]; the Riemann integral also exists more generally for bounded, piecewise-continuous f. The integration variable is a dummy variable: ∫abf(x)dx=∫abf(u)du — it can be renamed freely.
Three standard choices of the evaluation point ξi (all yield the same limit for continuous f, but give different finite-napproximations):
Exercise 9.1 uses each rule without taking the limit — i.e. computes just one finite Riemann sum S=∑f(ξi)Δx from a given 5-point partition of [1,1.5] — which is only an approximate value of the true integral (worked in the text as Example 9.1, estimating ∫00.5x2dx via all three rules on 5 equal subintervals of width h=0.1).
Remarks connecting sign and area (used throughout §9.8):
If ∫abf(x)dx exists, then F(x)=∫axf(u)du is a well-defined function on [a,b].
If f(x)≥0 throughout [a,b], ∫abf(x)dx equals the geometric area between y=f(x), the x-axis, and x=a,x=b.
If f(x)≤0 throughout [a,b], ∫abf(x)dx equals the negative of that geometric area — the area itself is −∫abf(x)dx. …
Figure 9.2Fig. 9.2 — A bounded function $y=f(x)$ on $[a,b]$ partitioned into subintervals $[x_{i-1},x_i]$, with sample point $\xi_3$, illustrating the Riemann sum
ⓘDrawn by us to help you understand the concept clearly, and verified to make sure it's accurate. For exams, practice from your textbook's own diagram.
What this figure shows. Fig. 9.2 — A bounded function y=f(x) on [a,b] partitioned into subintervals [xi−1,xi], with sample point ξ3, illustrating t …
Figure 9.3Fig. 9.3 — The area bounded by $y=f(x)$ (above the x-axis), the x-axis and the lines $x=a$, $x=b$, approximated by a vertical strip of width $\Delta x$
ⓘDrawn by us to help you understand the concept clearly, and verified to make sure it's accurate. For exams, practice from your textbook's own diagram.
What this figure shows. Fig. 9.3 — The area bounded by y=f(x) (above the x-axis), the x-axis and the lines x=a, x=b, approximated by a vertical strip of wi …
Figure 9.4Fig. 9.4 — When $f(x)\le 0$, the geometric area between $y=f(x)$, the x-axis and the lines $x=a$, $x=b$ equals $\left|\int_a^b f(x)\,dx\right|$; strip height $-f(x)$
ⓘDrawn by us to help you understand the concept clearly, and verified to make sure it's accurate. For exams, practice from your textbook's own diagram.
What this figure shows. Fig. 9.4 — When f(x)≤0, the geometric area between y=f(x), the x-axis and the lines x=a, x=b equals ∫abf(x)dx; stri …
Figure 9.5Fig. 9.5 — A curve $y=f(x)$ that lies above, then below, then above the x-axis on $[a,b]$, giving geometric areas $A_1$, $A_2$, $A_3$ over $[a,c_1]$, $[c_1,c_2]$, $[c_2,b]$
ⓘDrawn by us to help you understand the concept clearly, and verified to make sure it's accurate. For exams, practice from your textbook's own diagram.
What this figure shows. Fig. 9.5 — A curve y=f(x) that lies above, then below, then above the x-axis on [a,b], giving geometric areas A1, A2, A3 over [a,c1], $[c_1 …