What is the Jacobian of a Transformation with x=u/(u+v) and y=v/(u-v)?

In summary, the Jacobian of the given transformation is equal to 0, as calculated by multiplying the four partial derivatives.
  • #1
Char. Limit
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Homework Statement



Find the Jacobian of the transformation:

[tex]x=\frac{u}{u+v}, y=\frac{v}{u-v}[/tex]

Homework Equations



Jacobian = [tex]\left|\stackrel{\frac{\partial x}{\partial u}}{\frac{\partial x}{\partial v}} \stackrel{\frac{\partial y}{\partial u}}{\frac{\partial y}{\partial v}}\right| =\left(\frac{\partial x}{\partial u}\right) \left(\frac{\partial y}{\partial v}\right) - \left(\frac{\partial x}{\partial v}\right) \left(\frac{\partial y}{\partial u}\right)[/tex]

The Attempt at a Solution



Now, I got for my four partial derivatives...

[tex]\frac{\partial x}{\partial u} = \frac{v}{\left(u+v\right)^2}[/tex]

[tex]\frac{\partial x}{\partial v} = - \frac{u}{\left(u+v\right)^2}[/tex]

[tex]\frac{\partial y}{\partial u} = - \frac{v}{\left(u-v\right)^2}[/tex]

[tex]\frac{\partial y}{\partial v} = \frac{u}{\left(u-v\right)^2}[/tex]

So, multiplying these together gave me...

[tex]Jacobian = \frac{vu}{(u+v)^2 (u-v)^2} - \frac{uv}{(u+v)^2 - (u-v)^2} = 0[/tex]

Am I supposed to get a Jacobian of 0?
 
Last edited:
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  • #2
Fixed a bit of LaTeX.
 

What is a Jacobian Transformation?

A Jacobian Transformation is a mathematical concept used in multivariable calculus and vector calculus. It involves transforming a set of variables into a new set of variables, which allows for easier calculations and analysis of functions.

Why is a Jacobian Transformation useful?

A Jacobian Transformation is useful because it simplifies the calculation of integrals and derivatives in higher dimensions. It also allows for the conversion of coordinates between different coordinate systems, making it a valuable tool in physics and engineering.

What is the relationship between a Jacobian Transformation and the Jacobian determinant?

The Jacobian determinant is a specific type of Jacobian Transformation that involves calculating the determinant of the transformation matrix. It is used to determine the change in volume of a function under a given transformation.

How is a Jacobian Transformation used in machine learning?

A Jacobian Transformation is used in machine learning to transform data into a new coordinate system, which can help to simplify and improve the performance of machine learning algorithms. It is also used in the training of neural networks to update the weights and biases of the network.

What are some real-world applications of a Jacobian Transformation?

A Jacobian Transformation has many real-world applications, including image processing, robotics, and fluid mechanics. It is also used in the study of planetary motion and in the analysis of financial data. Additionally, it is an important tool in optimization and control theory.

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