M408M Learning Module Pages

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Chapter 10: Parametric Equations and Polar Coordinates

Chapter 12: Vectors and the Geometry of Space


Chapter 13: Vector Functions


Chapter 14: Partial Derivatives


Chapter 15: Multiple Integrals


Learning module LM 15.1: Multiple integrals

Learning module LM 15.2: Multiple integrals over rectangles:

Learning module LM 15.3: Double integrals over general regions:

Learning module LM 15.4: Double integrals in polar coordinates:

Learning module LM 15.5a: Multiple integrals in physics:

Learning module LM 15.5b: Integrals in probability and statistics:

Learning module LM 15.10: Change of variables:

      Change of variable in 1 dimension
      Mappings in 2 dimensions
      Jacobians
      Examples
      Cylindrical and spherical coordinates

Jacobians

Jacobians

The distortion factor between size in uv-space and size in xy space is called the Jacobian. The following video explains what the Jacobian is, how it accounts for distortion, and how it appears in the change-of-variable formula.

Definition: The Jacobian of the transformation Φ:(u,v)  (x(u,v),y(u,v))
is the 2×2 determinant (x,y)(u,v) = |xuxvyuyv|.


Change-of-variable formula: If a 1-1 mapping Φ sends a region D in uv-space to a region D in xy-space, then Df(x,y)dxdy = Df(Φ(u,v))|(x,y)(u,v)|dudv.
Note that this involves the absolute value of the Jacobian.


Example 1: Compute the Jacobian of the polar coordinates transformation x = rcosθ,y=rsinθ.
Solution: Since xr=cos(θ),yr=sin(θ),xθ=rsin(θ),yθ=rcos(θ),
our Jacobian is |xrxθyryθ| = |cosθrsinθsinθrcosθ| = r.
This explains why there's an r factor in polar integrals! The area element dA=dxdy is not equal to drdθ. Instead, dA is equal to rdrdθ.


Let's see why the Jacobian is the distortion factor in general for a mapping Φ:(u,v)  (x(u,v),y(u,v)) = x(u,v)i+y(u,v)j,
making good use of all the vector calculus we've developed so far. Let Q=[a,a+h]×[c,c+k] be a rectangle in the uv-plane and Φ(Q) its image in the xy-plane as shown in


Then u = Φ(a+h,c)Φ(a,c),v = Φ(a,c+k)Φ(a,c).

The area of the parallelogram spanned by u=u1i+u2j and v=v1i+v2j is the determinant |u1v1u2v2|.


By the definition of partial derivatives, Φ(a+h,c)Φ(a,c)h  Φu|(a,c) = xu|(a,c)i+yu|(a,c)j,
Φ(a,c+k)Φ(a,c)k  Φv|(a,c) = xv|(a,c)i+yv|(a,c)j.
We then compute area(Φ(Q))|u1v1u2v2|  |hxukxvhyukyv| = hk|xuxvyuyv|.

Since area(Q)=hk, this means that the area of our region in the xy plane is given by the absolute value of the Jacobian times the area in the uv plane. Our shorthand for this is dA = dxdy = |(x,y)(u,v)|dudv.
Areas are always positive, so the area of a small parallelogram in xy-space is always the absolute value of the Jacobian times the area of the corresponding rectangle in uv-space.


So why didn't we see an absolute value in the change-of-variables formula in one dimension? This had to do with the way we write the limits of integration.

Example 2: Compute 100ex/5dx.

Solution: We did this before using x=g(u)=5u. Instead, let's take x=5u, so g(u)=5 is negative. Now ex/5=eu and dx=5du. The map g sends the interval from 0 to -2 in u-space to the interval from 0 to 10 in x-space, and our change-of-variable formula says 100ex/5dx = 205eudu.
Of course, we usually integrate from 2 to 0, not from 0 to 2.
Flipping the limits of integration changes the sign of the answer, so 100ex/5dx = 02+5eudu=5(1e2).

If we had written our 1-dimensional integrals in terms of regions instead in terms of starting points and end points, we would have had a factor of +5, rather than 5, all along. The mapping x=5u sends the region D=[2,0] to the region D=[0,10], and Dex/5dx = Deu|dxdu|du.