Multiple integrals are where calculus truly becomes powerful—they let you move beyond curves and into the real world of surfaces, volumes, and three-dimensional objects. You're being tested on your ability to set up integrals correctly, choose the right coordinate system, and apply fundamental theorems that connect different types of integrals. These skills form the foundation for physics, engineering, and advanced mathematics.
The key insight isn't just computing integrals—it's recognizing when to use which technique. Exam questions will test whether you can identify symmetry, transform coordinates using Jacobians, and apply theorems like Green's, Stokes', and the Divergence Theorem to convert difficult integrals into manageable ones. Don't just memorize formulas—know why each coordinate system simplifies certain problems and how the major theorems relate line, surface, and volume integrals to each other.
Setting Up Multiple Integrals
The foundation of multiple integration is understanding how to extend single-variable techniques to higher dimensions. The differential element changes based on dimension and coordinate system, and setting up correct limits of integration is half the battle.
Double Integrals in Rectangular Coordinates
Computes accumulated quantities over rectangular regions—expressed as ∬Rf(x,y)dA where dA=dxdy
Limits of integration define the rectangular region in the xy-plane, with inner limits potentially depending on the outer variable
Foundation for all multiple integrals—master this setup before moving to other coordinate systems
Triple Integrals in Rectangular Coordinates
Extends integration to three dimensions—expressed as ∭Ef(x,y,z)dV where dV=dxdydz
Used for volume, mass, and moments when the region has faces parallel to coordinate planes
Six possible orders of integration—choosing wisely can dramatically simplify your calculation
Fubini's Theorem
Guarantees iterated integration works—when f is continuous over a closed, bounded region, the double integral equals the iterated integral
Allows flexible order of integration—you can integrate with respect to x first or y first and get the same answer
Critical for exam strategy—if one order is difficult, Fubini's theorem justifies switching to an easier order
Iterated Integrals
Breaks multiple integrals into sequential single integrals—evaluate from inside out, treating other variables as constants
Order of integration matters for computation—even when results are equal, one order may be far simpler
Watch your limits carefully—inner limits often depend on outer variables for non-rectangular regions
Compare: Fubini's Theorem vs. Iterated Integrals—Fubini's theorem is the justification for why iterated integrals work, while iterated integrals are the technique you actually use. If an FRQ asks you to evaluate a double integral, you're using iterated integrals; if it asks why you can switch the order, cite Fubini's theorem.
Coordinate Transformations
Choosing the right coordinate system transforms impossible integrals into straightforward ones. The key is matching the symmetry of your region to the natural symmetry of a coordinate system.
Double Integrals in Polar Coordinates
Converts (x,y) to (r,θ) using x=rcosθ, y=rsinθ, with dA=rdrdθ
The extra factor of r is the Jacobian—forgetting it is the most common error on exams
Ideal for circular or annular regions—any time you see x2+y2 in the integrand or boundary, think polar
Triple Integrals in Cylindrical Coordinates
Uses (r,θ,z) where x=rcosθ, y=rsinθ, and z remains unchanged
Volume element is dV=rdrdθdz—essentially polar coordinates with a vertical component
Perfect for cylinders, cones, and paraboloids—any solid with circular cross-sections in the xy-plane
Triple Integrals in Spherical Coordinates
Uses (ρ,θ,ϕ) where ρ is distance from origin, θ is azimuthal angle, ϕ is angle from positive z-axis
Volume element is dV=ρ2sinϕdρdθdϕ—this Jacobian factor is heavily tested
Essential for spheres and cones—when boundaries involve x2+y2+z2 or the region has spherical symmetry
Change of Variables and Jacobian Determinants
Generalizes all coordinate transformations—the Jacobian ∂(u,v)∂(x,y) scales the area/volume element
Computed as a determinant of partial derivatives—for 2D: J=∂u∂x∂v∂y−∂v∂x∂u∂y
Explains why polar has r and spherical has ρ2sinϕ—these are specific Jacobians you should memorize
Compare: Cylindrical vs. Spherical Coordinates—both handle 3D symmetry, but cylindrical is best when the symmetry is around an axis (like a cylinder), while spherical is best when symmetry is around a point (like a sphere). If your region has both x2+y2 and z2 in the boundary equation, spherical is usually the way to go.
Line and Surface Integrals
These integrals extend the concept of integration to curves and surfaces, measuring quantities like work, flux, and circulation. They're the building blocks for the major theorems of vector calculus.
Line Integrals
Integrates along a curve C—expressed as ∫Cfds for scalar functions or ∫CF⋅dr for vector fields
Computes work done by a force field—the vector form ∫CF⋅dr measures how much the field pushes along the path
Parameterization is essential—convert everything to a single parameter t before integrating
Surface Integrals
Integrates over a surface S in 3D space—expressed as ∬SfdS where dS is the surface area element
For parameterized surfaces, dS=∥ru×rv∥dudv—the cross product magnitude gives the scaling factor
Foundation for flux calculations—understanding surface integrals is prerequisite for Stokes' and Divergence theorems
Flux Integrals
Measures vector field flow through a surface—expressed as ∬SF⋅dS=∬SF⋅ndS
Orientation matters—the normal vector n must point in the correct direction (usually outward for closed surfaces)
Physical interpretation is key—positive flux means net flow out, negative means net flow in
Compare: Line Integrals vs. Surface Integrals—line integrals measure accumulation along 1D curves (work, circulation), while surface integrals measure accumulation across 2D surfaces (flux, surface area). Both require careful parameterization and both appear in the major theorems.
The Fundamental Theorems of Vector Calculus
These three theorems are the crown jewels of multivariable calculus—they connect different types of integrals and are heavily tested on exams. Each theorem relates an integral over a boundary to an integral over the region it bounds.
Green's Theorem
Connects line integrals to double integrals in 2D—∮C(Pdx+Qdy)=∬R(∂x∂Q−∂y∂P)dA
Curve C must be simple, closed, and positively oriented—counterclockwise with the region on your left
Converts difficult line integrals to easier area integrals—or vice versa, depending on which is simpler
Stokes' Theorem
Generalizes Green's theorem to 3D surfaces—∮CF⋅dr=∬S(∇×F)⋅dS
Relates circulation around a curve to curl over the surface it bounds—the curl measures local rotation of the field
Orientation must be consistent—use the right-hand rule: fingers curl along C, thumb points in direction of n
Divergence Theorem (Gauss's Theorem)
Relates flux through a closed surface to divergence over the enclosed volume—∬SF⋅dS=∭V(∇⋅F)dV
Surface must be closed (like a sphere or box)—with normal vectors pointing outward
Divergence measures source/sink strength—positive divergence means the field is expanding, negative means contracting
Compare: Green's vs. Stokes' vs. Divergence—all three relate a boundary integral to a region integral. Green's is 2D (line to area), Stokes' relates 3D boundary curves to surfaces (circulation to curl), and Divergence relates 3D surfaces to volumes (flux to divergence). On FRQs, identify which theorem applies by checking dimensions and whether you're dealing with curl, divergence, or a 2D setup.
Applications of Multiple Integrals
Multiple integrals aren't just abstract—they compute real physical quantities. Understanding these applications helps you set up integrals correctly and interpret your answers.
Volume, Mass, and Center of Mass
Volume: V=∭EdV—integrate 1 over the region to find its volume
Mass with variable density: m=∭Eρ(x,y,z)dV—the density function ρ weights each piece of volume
Center of mass uses moments: xˉ=m1∭ExρdV—weighted averages of coordinates locate the balance point
Compare: Volume vs. Mass Integrals—volume integrates dV alone, while mass integrates ρdV. If density is constant, mass is just ρ×volume. For center of mass problems, always compute total mass first, then the moment integrals.
When would you choose spherical coordinates over cylindrical coordinates for a triple integral? Give a specific example of a region where each is preferred.
What is the Jacobian for polar coordinates, and why does forgetting it lead to incorrect answers? How does this connect to the general change of variables formula?
Compare Green's theorem and Stokes' theorem: what do they have in common, and how does Stokes' theorem generalize Green's theorem to three dimensions?
If you need to compute the flux of a vector field through a closed surface, which theorem might simplify your calculation? Under what conditions would using the theorem be easier than direct computation?
Given the integral ∬R(x2+y2)dA over the disk x2+y2≤4, explain why polar coordinates simplify this problem and set up (but don't evaluate) the transformed integral.