General Changes of Variables and Jacobians
Measure local area scaling and map a simple parameter region to a harder physical region.
Builds on Polar Coordinates in Double Integrals
The bigger question: How do we accumulate over an area?
On this page
A derivative matrix scales small areas
For a differentiable map , the Jacobian determinant is
Small parameter rectangles become approximate parallelograms with area scale . Under a suitable one-to-one smooth change of variables with nonzero Jacobian in the interior,
Standard extensions allow some boundary degeneracies. If a map covers the same area repeatedly, the ordinary one-to-one formula must be adjusted; an absolute determinant does not correct multiplicity.
Visual guide
Worked example: turn a parallelogram into a square
Let , with . The unit square maps to vertices . The Jacobian is , so geometric area is .
To integrate , substitute . The result is . The negative determinant records orientation reversal; the area integral uses magnitude.
Try it yourself.
Choose an answer and explain your reasoning to yourself. Use a hint if you get stuck.
Hint 1 · Find a starting point
The derivative matrix is diagonal.
Hint 2 · Take the next step
Multiply the independent stretches 2 and 3.
Show the reasoning
Answer: 6
Areas scale by |2×3|=6, so dA=6 du dv.
Before moving on: what would make one of the other answers wrong? Saying why is part of understanding.
Worked example: an ellipse
Map the unit disk by , with . The image is and . Its area is therefore .
Combining this scaling with polar coordinates gives , and total Jacobian . Jacobians multiply under composition, matching the chain rule for derivative matrices. This is often simpler than computing a large determinant from scratch.
If the available formula gives the inverse transformation, its determinant is reciprocal at corresponding regular points. Be explicit about which direction is being differentiated before inserting a factor into an integral.
Practice
- Find the Jacobian for .
- Find the area of the ellipse .
- Why does a determinant of zero prevent a regular local area conversion?
Show worked solutions
- .
- Semiaxes are , so the area is .
- The derivative collapses at least one direction, so it is not locally invertible by the usual inverse-function theorem.
Further study
MIT OpenCourseWare: Multivariable Calculus provides a full university course with additional lectures and exercises.
Pause before the next idea.
Can you explain how the visualization connects to this lesson’s goal? If a step still feels uncertain, put this lesson on your review list and try the check again another day.