Question on Jacobian with function composition and inverse functions

Click For Summary

Discussion Overview

The discussion revolves around the computation of the Jacobian of a composed function involving diffeomorphisms and linear transformations. Participants explore the implications of the chain rule for derivatives in the context of Jacobians, particularly focusing on the relationship between the Jacobians of the individual functions and the challenges in simplifying the resulting expression.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant proposes that the Jacobian of the composed function can be expressed using the chain rule: J_f(u) = J_{\phi^{-1}}(T(\phi(u))) * J_T(\phi(u)) * J_\phi(u).
  • It is noted that the Jacobian determinant of T is constant, leading to the expression |J_f(u)| = λ * |J_{\phi^{-1}}(T(\phi(u)))| * |J_\phi(u)|.
  • Another participant questions how to simplify the product J_{\phi^{-1}}(T(\phi(u))) * J_\phi(u), suggesting that they may depend on different variables.
  • A later reply highlights the difficulty in simplifying the Jacobian of the inverse map since it is evaluated at T(φ(u)), which is different from the evaluation point of φ.
  • Participants express uncertainty about further simplification due to the differing evaluation points of the Jacobians involved.

Areas of Agreement / Disagreement

Participants generally agree on the application of the chain rule for Jacobians but express differing views on the simplification of the product of Jacobians. The discussion remains unresolved regarding the ability to simplify the expression further.

Contextual Notes

Participants acknowledge the complexity arising from the evaluation of Jacobians at different points, which may limit the ability to simplify the expression. There are also references to external resources for further clarification.

mnb96
Messages
711
Reaction score
5
Hello,

let's suppose I have two functions \phi:U\rightarrow V, and T:V\rightarrow V that are both diffeomorphisms having inverse.
Furthermore T is linear.

I consider the function f(u) = (\phi^{-1}\circ T \circ \phi)(u), where \circ is the composition of functions.

Since T is linear, we already know that the Jacobian determinant is constant: J_T(v)=\lambda.

What can we say about J_f(u), the Jacobian of f ?
 
Physics news on Phys.org
mnb96 said:
What can we say about J_f(u), the Jacobian of f ?

hello! :smile:

you go first! :wink:
 
tiny-tim said:
you go first! :wink:
Ok, but you'll see I won't go very far :)
Let's try, though...

If I am not wrong the Jacobian obeys an analogous rule of the chain rule for derivatives, so we can write:
J_f(u) = J_{\phi^-1}(T(\phi(u))) \; J_{T}(\phi(u)) \; J_\phi(u)

The Jacobian determinant of a product of Jacobians is given by the product of Jacobian determinants. We also know that the Jacobian determinant of T is constant, thus:

|J_f(u)| = \lambda \cdot |J_{\phi^-1}(T(\phi(u))) |\cdot|J_\phi(u)|

...and here I get stuck.
I told you I wasn't going to go very far... :smile:
 
well, that's quite a long way! :smile:

ok, you've proved that Jf is a multiple of Jφ-1Jφ

now what would you like to be able to say about Jφ-1Jφ ? :wink:
 
tiny-tim said:
now what would you like to be able to say about Jφ-1Jφ ? :wink:

Basically, I would like to know if that term can be somehow simplified.
My guess is that we can't say much more than that because Jφ-1 is a function of (T \circ \phi)(u) while the term Jφ depends on u.
 
I think the difficulty here though is that the Jacobian of the inverse map is not being evaluated at the image point of the forward map phi. Rather it is being evaluated at T(phi(u)). I think that is why the OP is stuck. Am I missing a way to simplify this?
 
Hi Vargo,

the problem you mentioned in your post describes well why I get stuck.
Basically I can't see a way to simplify that expression, because the two Jacobians are evaluated at different points.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 36 ·
2
Replies
36
Views
6K
  • · Replies 20 ·
Replies
20
Views
6K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K