Skip to content

Mathematics · Ch 11 — Applications of the Integrals

The Area-Under-a-Curve Idea

1

The Area-Under-a-Curve Idea

Until now, the definite integral ∫abf(x) dx\int_a^b f(x)\,dx has mostly been a number you compute by finding an antiderivative and applying the Fundamental Theorem of Calculus. This chapter gives that number a geometric meaning: when f(x)≥0f(x) \geq 0 throughout [a,b][a,b], the definite integral ∫abf(x) dx\int_a^b f(x)\,dx equals the exact area of the region bounded above by the curve y=f(x)y=f(x), below by the xx-axis, and on the sides by the vertical lines (ordinates) x=ax=a and x=bx=b.

Why the definite integral is an area -- the Riemann sum picture. Split the interval [a,b][a,b] into nn equal strips, each of width Δx=b−an\Delta x = \dfrac{b-a}{n}. On the ii-th strip, erect a thin rectangle of height f(xi)f(x_i), where xix_i is a sample point in that strip. The area of this one rectangle is f(xi) Δxf(x_i)\,\Delta x, and adding up all nn of them gives an approximation to the area under the curve:

Sn=∑i=1nf(xi) Δx.S_n = \sum_{i=1}^{n} f(x_i)\,\Delta x.

This is only an approximation because the tops of the rectangles are flat while the curve is (generally) not -- some rectangles overshoot the curve slightly, others undershoot it. As n→∞n \to \infty, each strip becomes infinitesimally thin (Δx→0\Delta x \to 0), the flat-topped rectangles hug the curve more and more closely, and the error in the approximation shrinks to zero. This limit is defined to be the definite integral:

∫abf(x) dx=lim⁡n→∞∑i=1nf(xi) Δx.\int_a^b f(x)\,dx = \lim_{n \to \infty} \sum_{i=1}^{n} f(x_i)\,\Delta x.

Since this limit is precisely the limiting value of a sum of rectangular-strip areas that increasingly fills up the region under the curve, the definite integral is the area of that region -- not merely a number that happens to equal it.

The role of the Fundamental Theorem of Calculus. Evaluating the Riemann-sum limit directly is usually impractical, which is exactly why the Fundamental Theorem of Calculus is so useful here: if F(x)F(x) is any antiderivative of f(x)f(x) (that is, F′(x)=f(x)F'(x) = f(x)), then ∫abf(x) dx=F(b)−F(a)\int_a^b f(x)\,dx = F(b) - F(a). Every area calculated in this chapter uses this shortcut -- find an antiderivative, then subtract its value at the lower limit from its value at the upper limit -- while relying on the Riemann-sum argument above to justify why the resulting number is a genuine area.

Sign convention. The formula ∫abf(x) dx\int_a^b f(x)\,dx gives a positive area only when f(x)≥0f(x) \geq 0 on [a,b][a,b], matching every curve considered in this chapter (a line segment kept above the xx-axis, the upper half of a circle or ellipse, or a parabola's arm). If a curve dips below the xx-axis, the integral there comes out negative (since each strip's "height" f(xi)f(x_i) is negative), and the geometric area is recovered by taking the absolute value of that piece before adding it to the rest -- area can never be negative, even though the raw integral can be.

Extending to two curves. The very same idea -- summing thin strips and taking the limit -- extends directly to the area between two curves y=f(x)y = f(x) (the upper one) and y=g(x)y = g(x) (the lower one) over an interval where f(x)≥g(x)f(x) \geq g(x): each representative strip now has height f(xi)−g(xi)f(x_i) - g(x_i) instead of just f(xi)f(x_i), giving

Area=∫ab[f(x)−g(x)] dx.\text{Area} = \int_a^b \big[f(x) - g(x)\big]\,dx.

This single working principle -- identify the region, draw a representative thin strip, write its area as (height)×dx\times dx (or, when it is more convenient, (width)×dy\times dy), and integrate over the range the strip sweeps through -- is what every remaining section of this chapter applies to a straight line, a circle, a parabola, an ellipse, and finally to the region enclosed between two of these curves at once.