Further Applications
of Integration
Beyond areas, volumes, and work, the definite integral measures a much wider range of quantities. This chapter applies the same build-and-sum-then-take-a-limit strategy to geometry, physics, engineering, economics, biology, and statistics — measuring the length of a curve, the area of a surface of revolution, the force of water against a dam, the location of a center of mass, the flow of blood through an artery, and the spread of a random variable.
Every result in this chapter comes from the same four moves: slice the quantity into many small pieces, approximate each piece, add the approximations into a Riemann sum, and pass to the integral. If you can recite those four moves for arc length, you can re-derive every formula here. Don't memorize five formulas — memorize one method and the geometry that feeds it.
8.1
Arc Length
How long is a curve? For a polygon the answer is easy — add the lengths of its straight segments. A general curve is handled by inscribing a polygon in it, summing the segment lengths, and letting the number of segments grow without bound. The arc length is the limit of those polygonal lengths, exactly mirroring how area and volume were defined.
Arc length as a limit of polygons
Approximate a curve by a polygon whose vertices lie on the curve, then refine. As the segments shrink and multiply, the total polygonal length approaches a fixed value, which we define to be the length of the curve. This is the same circle-from-inscribed-polygons idea that gives a circle's circumference.
Smooth curve
A function is called smooth when its derivative is continuous. Geometrically, a small change in the input produces a small change in the slope, so the curve has no corners or sudden jumps in direction. Smoothness is exactly the condition that converts the limit definition into a clean integral formula.
If \(f'\) is continuous on \([a,b]\), then the length of the curve \(y=f(x)\), \(a\le x\le b\), is
The derivation applies the Mean Value Theorem to each subinterval, replacing each segment length \(\sqrt{\Delta x^2+\Delta y^2}\) with \(\sqrt{1+[f'(x_i^*)]^2}\,\Delta x\); the resulting Riemann sum converges to the integral because the integrand is continuous.
Choose the integration variable that makes \(f'\) easy. If the curve is a tidy function of \(x\), integrate in \(x\); if it is tidier as \(x=g(y)\), integrate in \(y\). The two formulas describe the same length.
The arc length function
Fixing a starting point and letting the endpoint vary turns arc length into a function of position along the curve.
Arc length function
For a smooth curve \(y=f(x)\), the distance measured along the curve from a fixed initial point \(a\) to a variable point \(x\) defines \(s(x)\). It is monotonically increasing — moving along the curve always adds length.
The arc length differential equals \(dx\) only where the slope is zero; everywhere else the curve climbs or falls, so a step of \(dx\) horizontally always traces more than \(dx\) of curve. The symmetric form \((ds)^2=(dx)^2+(dy)^2\) is just the Pythagorean theorem on an infinitesimal triangle and is the mnemonic for both arc length formulas.
The "perfect square under the root" in Example 4 is no accident — practice arc-length problems are reverse-engineered so that \(1+[f']^2\) factors cleanly. On a real part profile or cam contour it almost never will, and you go straight to Simpson's Rule (Example 3). In practice I tell students: try the formula once, and if the radical doesn't simplify in two lines, stop and integrate numerically. Don't burn an exam hour hunting for a substitution that the problem may not have.
8.2
Area of a Surface of Revolution
Rotate a curve about a line and it sweeps out a surface — the outer skin of a solid of revolution. Its area should equal the amount of paint needed to coat a flat region of the same size. Building from the lateral areas of cylinders and cones, the same slice-approximate-sum-limit strategy yields a clean integral.
Surface of revolution
The surface formed when a plane curve is rotated about an axis. It is the lateral boundary of the corresponding solid of revolution and is approximated by bands, each a frustum (a sliced-off cone) generated by rotating one short segment of the curve.
From band to integral
Each band has circumference \(2\pi(\text{radius})\) and width equal to the slant length \(ds\) of the curve segment. Summing \(2\pi(\text{radius})\,ds\) over all bands and taking the limit gives the surface area. The radius is just the distance from the curve to the axis of rotation.
Surface area \(=\int 2\pi(\text{radius})\,ds\). The factor \(2\pi(\text{radius})\) is the circumference of the circle each point traces as it spins; \(ds\) is the slant length it carries. Get the radius right (distance to the axis) and pick \(ds\) in \(x\) or \(y\) — everything else follows.
Watch the radius like a hawk — it is the single most common place students lose marks. Rotating about the \(x\)-axis, the radius is \(y\); about the \(y\)-axis, it is \(x\). If the problem rotates about a shifted line such as \(y=c\), the radius becomes the distance \(|f(x)-c|\), not \(f(x)\) itself. Sketch the band and physically measure the gap from the curve to the spin axis before you write the \(2\pi(\text{radius})\) factor.
8.3
Applications to Physics & Engineering
Two classic engineering problems yield to integration: the hydrostatic force a fluid exerts on a submerged wall, and the center of mass (centroid) of a thin plate. The recurring difficulty is that pressure is not constant — it grows with depth — so we slice the wall into thin horizontal strips on which the pressure is nearly uniform.
Hydrostatic force and pressure
Hydrostatic pressure
Pressure is force per unit area. At depth \(d\) in a fluid the weight of the column above produces a pressure that is the same in every direction (a diver feels equal pressure on nose and both ears). It depends only on depth and fluid density, not on orientation.
In SI, pressure is the pascal, \(1\text{ Pa}=1\text{ N/m}^2\); water has \(\rho=1000\text{ kg/m}^3\). In US customary units engineers use the weight density \(\delta=\rho g\) directly — for water \(\delta=62.5\text{ lb/ft}^3\) — and write \(P=\delta d\), skipping the explicit \(g\).
Force on a vertical wall
Because pressure rises with depth, a vertical wall cannot be treated as one block. Slice it into thin horizontal strips of width equal to the wall's local width and height \(\Delta x\); on each strip the pressure is nearly constant, so its force is \(\text{pressure}\times\text{area}\). Summing and taking the limit gives the total force as an integral over depth.
Moments and centers of mass
Center of mass
The single point at which a body balances. For a system of point masses it is the mass-weighted average of their positions; for a thin plate it is the point where the plate would balance on a pin.
Moment
The product of a mass and its distance from an axis — a measure of the tendency to rotate about that axis. The moment of a whole system about an axis is the sum of the individual moments, and the center of mass is the total moment divided by the total mass.
Symmetry principle
If a region is symmetric about a line, its centroid lies on that line. This often eliminates one of the two integrals — for any left–right symmetric plate, \(\bar{x}\) is read straight off the axis of symmetry.
For a uniform plate the density appears in both the moment and the mass, so it divides out. The centroid is a purely geometric property of the region — its location does not depend on what the plate is made of.
Let a plane region \(R\) lie entirely on one side of a line \(\ell\) in its plane. When \(R\) is rotated about \(\ell\), the volume of the resulting solid equals the area of \(R\) times the distance travelled by its centroid:
Two engineering habits worth drilling. First, hydrostatic problems are about depth, not height — always set up your variable so it increases downward from the free surface, then read each strip's depth directly. Second, the Theorem of Pappus is a genuine shortcut on the job: if you already know a cross-section's area and centroid (standard for rolled steel shapes, weld beads, machined fillets), you get the swept volume in one multiplication, with no integral at all. I expect you to reach for Pappus before setting up shells whenever the centroid is already in a table.
8.4
Applications to Economics & Biology
The integral measures accumulated quantities far outside geometry. Here it captures the money consumers save versus what they would have paid (consumer surplus), the volume of blood crossing an artery per unit time (Poiseuille's Law), and the rate the heart pumps blood (cardiac output).
Consumer surplus
Demand function
The price \(p(x)\) a seller must set to sell \(x\) units. It typically decreases — moving more units requires a lower price — so its graph, the demand curve, slopes downward.
Consumer surplus
The total amount buyers save by paying a single market price \(P\) rather than the higher prices many of them would have been willing to pay. Geometrically it is the area between the demand curve and the horizontal line \(p=P\), from \(0\) to the quantity sold \(X\).
Blood flow
Law of laminar flow
Blood velocity in a vessel is largest on the central axis and falls to zero at the wall, varying with the square of the distance \(r\) from the center. The driving pressure difference and the blood's viscosity set the scale of the velocity profile.
Flux (rate of flow)
To get the volume of blood crossing a cross-section per unit time, sum the flow through thin concentric rings: ring area \(2\pi r\,\Delta r\) times local velocity. The limit is an integral, and it shows flow scales with the fourth power of the radius — Poiseuille's Law.
Because flow depends on \(R^4\), narrowing an artery has a dramatic effect. Reduce the radius to three-quarters of normal and, to keep the same flow, the required pressure more than triples — the quantitative root of high blood pressure from constricted arteries.
Cardiac output
Cardiac output & the dye dilution method
Cardiac output is the volume of blood the heart pumps into the aorta per unit time. A known amount of dye is injected, and its changing concentration downstream is recorded over time. The flow rate is the injected amount divided by the time-integral of the concentration.
| t (s) | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| c(t) | 0 | 0.4 | 2.8 | 6.5 | 9.8 | 8.9 | 6.1 | 4.0 | 2.3 | 1.1 | 0 |
Notice the shared shape of all three results: a measured quantity divided or accumulated against an integral. Consumer surplus, flux, and cardiac output look unrelated, but each is "integrate the density of something over its domain." When you meet a new applied problem, the first question is always the same — what small piece am I summing, and over what variable? Answer that and the integral writes itself. The \(R^4\) dependence in Poiseuille's Law is also worth carrying into any pipe- or duct-flow course; it is the same physics.
8.5
Probability
When a measured quantity ranges over a continuum — a battery's lifetime, an adult's height, the wait time on a support call — its behavior is captured by a probability density function. Probabilities become areas, and the integral becomes the central tool for describing random outcomes.
Continuous random variable
A quantity whose values fill an interval of real numbers rather than a discrete list. We ask not for the probability of an exact value but for the probability that the value falls within a range.
Probability density function (pdf)
A function \(f\) such that the probability of landing between \(a\) and \(b\) equals the area under \(f\) from \(a\) to \(b\). It is never negative, and the total area beneath it is exactly 1, reflecting that some outcome is certain.
Exponential density (waiting / failure times)
Waiting times and equipment lifetimes are commonly modelled by an exponentially decreasing density: zero before time 0, then \(c\,e^{-ct}\) afterward. The constant \(c\) is fixed by requiring the total area to equal 1.
Mean and median
Mean (expected value)
The long-run average value of the random variable, found by integrating \(x\,f(x)\). It is also the balance point of the density: a thin plate cut to the shape under \(f\) balances on the vertical line through the mean — exactly the centroid idea from §8.3.
Median
The value \(m\) that splits the distribution into two equal halves — half the area lies on each side. For skewed distributions like the exponential, the median is smaller than the mean, because a few very long waits drag the average upward.
Normal distributions
Normal distribution
The bell-shaped family modelling test scores, heights, weights, and rainfall. It is governed by two parameters: the mean \(\mu\) (the center) and the standard deviation \(\sigma\) (the spread). Small \(\sigma\) clusters values tightly about the mean; large \(\sigma\) spreads them out.
The normal density cannot be integrated in closed form, so normal probabilities are always computed numerically — by calculator, Simpson's Rule, or tables. The familiar landmark: about 68% of the population lies within one standard deviation of the mean.
Two takeaways I want you to keep past the exam. First, the mean–median gap in the exponential (Example 4) is the whole reason "average wait time" can be misleading in reliability and queueing work — report the median too when a distribution is skewed. Second, almost nothing in real engineering statistics integrates in closed form; the normal is the prime example. Get comfortable with Simpson's Rule and your calculator's numerical integrator now, because that is how these probabilities actually get computed on the job.
This topic touches sensitive applications (lifetimes, failure, medical data). Treated here purely as mathematics — if any of it raises a personal concern, talk it through with the right professional rather than relying only on a course.