Having problems with the (I think) general chain rule

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Homework Help Overview

The discussion revolves around a transformation defined by the equations relating variables \(\mathbf{x}\) and \(\mathbf{u}\). Participants are tasked with computing the derivative of this transformation and exploring its local invertibility under certain conditions.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the nature of the transformation and the mapping from \(\mathbb{R}^3\) to \(\mathbb{R}^3\). There are attempts to clarify the equations and compute the Jacobian matrix. Questions arise regarding the interpretation of the problem and the implications of a typo in the equations.

Discussion Status

The conversation is ongoing, with some participants expressing confusion about the problem's requirements. Guidance has been offered regarding the Jacobian matrix, and there is acknowledgment of the challenges posed by the textbook being used.

Contextual Notes

Participants note frustrations with the textbook, suggesting it may not be conducive to learning, and express a desire for additional resources to aid their understanding.

richyw
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Homework Statement



Consider the transformation \mathbf{x}=G(\mathbf{u}), \text{ where } \mathbf{x}=(x_1,x_2,x_3),\:\mathbf{u}=(u_1,u_2,u_3) given byx_1=u_1+u_3^2x_2=u_3-u_1^2x_3=u_1+u_2+u_3

I need to compute the derivative of this transformation, and then show that the transformation is locally invertible if u_1u_3>0

Homework Equations



unsure really.

The Attempt at a Solution



well x is a function of x_1,x_2,x_3 and all the x_j's are functions of u_1,u_2,u_3. So I am dealing with a map \mathbb{R}^3 to \mathbb{R}^3 right?

sorry I'm really lost on what this question is asking. mostly focusing on the firsrt part right now (the derivative)
 
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richyw said:

Homework Statement



Consider the transformation \mathbf{x}=G(\mathbf{u}), \text{ where } \mathbf{x}=(x_1,x_2,x_3),\:\mathbf{u}=(u_1,u_2,u_3) given byx_1=u_1+u_3^2x_2=u_3-u_1^2u_1+u_2+u_3

I need to compute the derivative of this transformation, and then show that the transformation is locally invertible if u_1u_3>0

Homework Equations



unsure really.

The Attempt at a Solution



well x is a function of x_1,x_2,x_3 and all the x_j's are functions of u_1,u_2,u_3. So I am dealing with a map \mathbb{R}^3 to \mathbb{R}^3 right?

sorry I'm really lost on what this question is asking. mostly focusing on the firsrt part right now (the derivative)

I suppose that third line is supposed to read ##x_3=u_1+u_2+u_3##. Is that what is causing your problems? Can you calculate the Jacobian now?
 
that's a typo yes, but not what is causing my problem.
 
(x_1,x_2,x_3)=G(u_1,u_2,u_3)
D\mathbf{x}=\left[\begin{matrix} \frac{\partial x_1}{\partial u_1} &amp; \frac{\partial x_1}{\partial u_2} &amp; \frac{\partial x_1}{\partial u_3} \\ \frac{\partial x_2}{\partial u_1} &amp; \frac{\partial x_2}{\partial u_2} &amp; \frac{\partial x_2}{\partial x_3} \\ \frac{\partial x_3}{\partial u_1} &amp; \frac{\partial x_3}{\partial u_2} &amp; \frac{\partial x_3}{\partial u_3}\end{matrix}\right]<br />
 
is that the jacobian?
 
richyw said:
(x_1,x_2,x_3)=G(u_1,u_2,u_3)
D\mathbf{x}=\left[\begin{matrix} \frac{\partial x_1}{\partial u_1} &amp; \frac{\partial x_1}{\partial u_2} &amp; \frac{\partial x_1}{\partial u_3} \\ \frac{\partial x_2}{\partial u_1} &amp; \frac{\partial x_2}{\partial u_2} &amp; \frac{\partial x_2}{\partial x_3} \\ \frac{\partial x_3}{\partial u_1} &amp; \frac{\partial x_3}{\partial u_2} &amp; \frac{\partial x_3}{\partial u_3}\end{matrix}\right]<br />

richyw said:
is that the jacobian?

Yes. You can read about the Jacobian and its properties here:

http://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant
 
ok cool, thanks a lot!

I'm sure i'll be able to hack through the rest of it. I'm quite frustrated with my textbook right now (folland). It seems to be more of a reference text than something that I can actually learn from. Still looking for a companion text, or even better something like khan academy.
 

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