Question about computing Jacobians of transformations

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Discussion Overview

The discussion centers on the computation of Jacobians for a transformation involving three variables (x, y, z) to new variables (u, v, w) defined by their ratios to the squared sum of the original variables. Participants explore methods for calculating the determinant of the Jacobian efficiently and discuss the implications of the transformation's inverse.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant inquires about a faster method to compute the Jacobian determinant without calculating the entire 3x3 determinant.
  • Another participant claims the inverse transformation presented is incorrect and suggests a generalization involving a function R for the denominator, providing a formula for the Jacobian determinant.
  • A different participant asserts that the inverse transformation is indeed correct, challenging the previous claim.
  • Another contribution discusses the geometric interpretation of the transformation, stating that it divides each vector by the square of its length, leading to a volume shrinkage factor related to the sixth power of the radius of the sphere.

Areas of Agreement / Disagreement

There is disagreement regarding the correctness of the inverse transformation, with some participants asserting it is wrong while others defend its validity. The discussion on the Jacobian determinant remains unresolved, with multiple approaches and interpretations presented.

Contextual Notes

The discussion includes assumptions about the nature of the transformation and its geometric implications, but these assumptions are not universally accepted among participants. The mathematical steps involved in deriving the Jacobian determinant are not fully resolved.

Boorglar
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Suppose I have the following transformation:

[tex] u = \frac{x}{x^2+y^2+z^2}[/tex]
[tex] v = \frac{y}{x^2+y^2+z^2}[/tex]
[tex] w = \frac{z}{x^2+y^2+z^2}[/tex]

Is there a fast way to calculate the determinant jacobian without having to deal with the whole 3x3 determinant?

I noticed that the inverse transformation is the same (switching x,y,z with u,v,w gives the equality again) but the determinant is not 1, so I don't really know if this can help.

Or would I really have to do it the long and boring way?
 
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Your inverse is wrong.

Sure there is a fast way, consider the slight generalization where the denominator is a function R so your case is R=x^2+y^2+z^2

then we have

[tex]J=<br /> \left|<br /> \begin{array}{ccc}<br /> u_x & u_y & u_z \\<br /> v_x & v_y & v_z \\<br /> w_x & w_y & w_z<br /> \end{array} \right|<br /> =\frac{1}{R^3}<br /> \left|<br /> \begin{array}{ccc}<br /> 1 - x R_x/R & -x R_y/R & -x R_z/R \\<br /> -y R_x/R & 1 - y R_y/R & -y R_z/R \\<br /> -z R_x/R & -z R_y/R & 1 - z R_z/R<br /> \end{array} \right| <br /> =\frac{1-(x R_x+y R_y+z R_z)/R}{R^3}[/tex]

The determinant is closely related to

[tex]\left|<br /> \begin{array}{ccc}<br /> a-U & -V & -W \\<br /> -U & b-V & -W \\<br /> -U & -V & c-W<br /> \end{array} \right| =abc-bc U-ac V-abW[/tex]
 
Last edited:
^The inverse is right.
 
This function just divides each vector by the square of its length. A small cube alligned so that its base is tangent to a sphere centered at the origin will be shrunk in volume by a factor of the sixth power of the radius of the sphere. So the magnitude of the determinant is the reciprocal of the sixth power of the radius of the sphere.
 

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