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Calculus II

Key Concepts of Multiple Integrals

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Why This Matters

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\iint_R f(x, y) \, dA where dA=dxdydA = dx \, dy
  • Limits of integration define the rectangular region in the xyxy-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\iiint_E f(x, y, z) \, dV where dV=dxdydzdV = dx \, dy \, dz
  • 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 ff 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 xx first or yy 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)(x, y) to (r,θ)(r, \theta) using x=rcosθx = r\cos\theta, y=rsinθy = r\sin\theta, with dA=rdrdθdA = r \, dr \, d\theta
  • The extra factor of rr is the Jacobian—forgetting it is the most common error on exams
  • Ideal for circular or annular regions—any time you see x2+y2x^2 + y^2 in the integrand or boundary, think polar

Triple Integrals in Cylindrical Coordinates

  • Uses (r,θ,z)(r, \theta, z) where x=rcosθx = r\cos\theta, y=rsinθy = r\sin\theta, and zz remains unchanged
  • Volume element is dV=rdrdθdzdV = r \, dr \, d\theta \, dz—essentially polar coordinates with a vertical component
  • Perfect for cylinders, cones, and paraboloids—any solid with circular cross-sections in the xyxy-plane

Triple Integrals in Spherical Coordinates

  • Uses (ρ,θ,ϕ)(\rho, \theta, \phi) where ρ\rho is distance from origin, θ\theta is azimuthal angle, ϕ\phi is angle from positive zz-axis
  • Volume element is dV=ρ2sinϕdρdθdϕdV = \rho^2 \sin\phi \, d\rho \, d\theta \, d\phi—this Jacobian factor is heavily tested
  • Essential for spheres and cones—when boundaries involve x2+y2+z2x^2 + y^2 + z^2 or the region has spherical symmetry

Change of Variables and Jacobian Determinants

  • Generalizes all coordinate transformations—the Jacobian (x,y)(u,v)\left|\frac{\partial(x,y)}{\partial(u,v)}\right| scales the area/volume element
  • Computed as a determinant of partial derivatives—for 2D: J=xuyvxvyuJ = \frac{\partial x}{\partial u}\frac{\partial y}{\partial v} - \frac{\partial x}{\partial v}\frac{\partial y}{\partial u}
  • Explains why polar has rr and spherical has ρ2sinϕ\rho^2\sin\phi—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+y2x^2 + y^2 and z2z^2 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 CC—expressed as Cfds\int_C f \, ds for scalar functions or CFdr\int_C \mathbf{F} \cdot d\mathbf{r} for vector fields
  • Computes work done by a force field—the vector form CFdr\int_C \mathbf{F} \cdot d\mathbf{r} measures how much the field pushes along the path
  • Parameterization is essential—convert everything to a single parameter tt before integrating

Surface Integrals

  • Integrates over a surface SS in 3D space—expressed as SfdS\iint_S f \, dS where dSdS is the surface area element
  • For parameterized surfaces, dS=ru×rvdudvdS = \|\mathbf{r}_u \times \mathbf{r}_v\| \, du \, dv—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 SFdS=SFndS\iint_S \mathbf{F} \cdot d\mathbf{S} = \iint_S \mathbf{F} \cdot \mathbf{n} \, dS
  • Orientation matters—the normal vector n\mathbf{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 2DC(Pdx+Qdy)=R(QxPy)dA\oint_C (P \, dx + Q \, dy) = \iint_R \left(\frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y}\right) dA
  • Curve CC 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 surfacesCFdr=S(×F)dS\oint_C \mathbf{F} \cdot d\mathbf{r} = \iint_S (\nabla \times \mathbf{F}) \cdot d\mathbf{S}
  • 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 CC, thumb points in direction of n\mathbf{n}

Divergence Theorem (Gauss's Theorem)

  • Relates flux through a closed surface to divergence over the enclosed volumeSFdS=V(F)dV\oiint_S \mathbf{F} \cdot d\mathbf{S} = \iiint_V (\nabla \cdot \mathbf{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=EdVV = \iiint_E dV—integrate 1 over the region to find its volume
  • Mass with variable density: m=Eρ(x,y,z)dVm = \iiint_E \rho(x,y,z) \, dV—the density function ρ\rho weights each piece of volume
  • Center of mass uses moments: xˉ=1mExρdV\bar{x} = \frac{1}{m}\iiint_E x\rho \, dV—weighted averages of coordinates locate the balance point

Compare: Volume vs. Mass Integrals—volume integrates dVdV alone, while mass integrates ρdV\rho \, dV. If density is constant, mass is just ρ×volume\rho \times \text{volume}. For center of mass problems, always compute total mass first, then the moment integrals.


Quick Reference Table

ConceptBest Examples
Rectangular coordinatesDouble integrals, Triple integrals, Iterated integrals
Polar/Cylindrical symmetryDouble integrals in polar, Triple integrals in cylindrical
Spherical symmetryTriple integrals in spherical coordinates
Coordinate transformation theoryChange of variables, Jacobian determinants
Line/curve integrationLine integrals, Green's theorem
Surface integrationSurface integrals, Flux integrals, Stokes' theorem
Volume integration theoremsDivergence theorem
Physical applicationsVolume, mass, center of mass calculations

Self-Check Questions

  1. When would you choose spherical coordinates over cylindrical coordinates for a triple integral? Give a specific example of a region where each is preferred.

  2. 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?

  3. 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?

  4. 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?

  5. Given the integral R(x2+y2)dA\iint_R (x^2 + y^2) \, dA over the disk x2+y24x^2 + y^2 \leq 4, explain why polar coordinates simplify this problem and set up (but don't evaluate) the transformed integral.