Inverse Jacobian Homework: Don't Understand Why It's Formed

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    Inverse Jacobian
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SUMMARY

The discussion centers on the formation of the inverse Jacobian matrix in the context of a two-dimensional change of variables. The Jacobian matrix, denoted as J, is defined as $$ J = \begin{pmatrix} \frac{\partial{x}}{\partial{u}} & \frac{\partial{y}}{\partial{u}} \\ \frac{\partial{x}}{\partial{v}} & \frac{\partial{y}}{\partial{v}} \end{pmatrix} $$, while its inverse is expressed as $$ J^{-1}= \begin{pmatrix} \frac{\partial{u}}{\partial{x}} & \frac{\partial{v}}{\partial{x}} \\ \frac{\partial{u}}{\partial{y}} & \frac{\partial{v}}{\partial{y}} \end{pmatrix} $$. The confusion arises when applying the general formula for the inverse of a 2x2 matrix, leading to discrepancies in the relationships between the partial derivatives. A suggestion is made to verify the calculations using a nontrivial transformation, such as polar to Cartesian coordinates.

PREREQUISITES
  • Understanding of Jacobian matrices in multivariable calculus
  • Familiarity with matrix operations, particularly for 2x2 matrices
  • Knowledge of partial derivatives and their applications in transformations
  • Basic concepts of inverse functions and their properties
NEXT STEPS
  • Study the derivation and properties of the Jacobian matrix in multivariable calculus
  • Learn how to compute the inverse of a 2x2 matrix using the formula $$ j^{-1} = \frac{1}{|J|} \begin{pmatrix} b & -a \\ -d & c \end{pmatrix} $$
  • Explore examples of transformations, specifically converting between polar and Cartesian coordinates
  • Practice problems involving the application of the inverse Jacobian in various contexts
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Students and professionals in mathematics, physics, and engineering who are working with multivariable calculus and need to understand the implications of Jacobian transformations and their inverses.

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Homework Statement


Don't understand why the inverse jacobian has the form that it does.

Homework Equations


$$ J = \begin{pmatrix} \frac{\partial{x}}{\partial{u}} & \frac{\partial{y}}{\partial{u}} \\ \frac{\partial{x}}{\partial{v}} & \frac{\partial{y}}{\partial{v}} \end{pmatrix} $$

$$ J^{-1}= \begin{pmatrix} \frac{\partial{u}}{\partial{x}} & \frac{\partial{v}}{\partial{x}} \\ \frac{\partial{u}}{\partial{y}} & \frac{\partial{v}}{\partial{y}} \end{pmatrix} $$

The Attempt at a Solution


This flow of logic makes sense to me:
$$ \begin{pmatrix} \frac{\partial{f}}{\partial{u}} \\ \frac{\partial{f}}{\partial{v}} \end{pmatrix} = J \begin{pmatrix} \frac{\partial{f}}{\partial{x}} \\ \frac{\partial{f}}{\partial{y}} \end{pmatrix} $$
(due to the equation for change of variables in two dimensions).

Similarly, looking at the inverse transformation, if we say that there is some matrix ## M ## that represents the inverse of ## J ##, we know:

$$ \begin{pmatrix} \frac{\partial{f}}{\partial{x}} \\ \frac{\partial{f}}{\partial{y}} \end{pmatrix} =M \begin{pmatrix} \frac{\partial{f}}{\partial{u}} \\ \frac{\partial{f}}{\partial{v}} \end{pmatrix} $$

Using the equation of the change of variables in 2D it's clear that ##J^{-1} ## should look as shown.

I'm confused however, because if I apply the general equation for the inverse of a ##2X2 ## matrix to ## J##, we get a matrix, ## j^{-1} ##, like this:

$$ j^{-1} = \frac{1}{|J|} \begin{pmatrix} \frac{\partial{y}}{\partial{v}} & - \frac{\partial{y}}{\partial{u}} \\ -\frac{\partial{x}}{\partial{v}} & \frac{\partial{x}}{\partial{u}} \end{pmatrix} $$

But this would then imply that
$$ \frac{1}{|J|} \frac{\partial{y}}{\partial{v}} = \frac{\partial{u}}{\partial{x}} $$ etc .. .
Which wouldn't seem to be generally true.

Similarly, if we multiply ## J ## and ## J^{-1} ##, using the standard rules for matrix multiplication, we get:

$$ JJ^{-1} = \begin{pmatrix} \frac{\partial{x}}{\partial{u}}\frac{\partial{u}}{\partial{x}}+\frac{\partial{y}}{
\partial{u}}\frac{\partial{u}}{\partial{y}} & \frac{\partial{x}}{\partial{u}}\frac{\partial{v}}{\partial{x}}+\frac{\partial{y}}{\partial{u}}\frac{\partial{v}}{\partial{y}} \\ \frac{\partial{x}}{\partial{v}}\frac{\partial{u}}{\partial{x}}+\frac{\partial{y}}{\partial{v}}\frac{\partial{u}}{\partial{y}} & \frac{\partial{x}}{\partial{v}}\frac{\partial{v}}{\partial{x}}+\frac{\partial{y}}{\partial{v}}\frac{\partial{v}}{\partial{y}} \end{pmatrix} $$

If the above ##'J^{-1} ## is a true inverse of ## J ## then clearly: ## JJ^{-1}=I ##, where ## I ## is the identity matrix. But I don't understand how the terms in the above expression equate to the corresponding terms in the identity matrix! :(

Can somebody please help?

Thank you!
 
I think you have some signs wrong in your JJ-1 matrix. After fixing that, how about try it out with a nontrivial transform, e.g. polar/Cartesian?
 

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