Tangent Spaces and Subspaces .... McInerney Theorem 3.3.13 ....

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Discussion Overview

The discussion revolves around the proof of Theorem 3.3.13 from Andrew McInerney's book on differential geometry, specifically focusing on the rank of the Jacobian matrix associated with a mapping in the context of tangent spaces and subspaces. Participants are exploring the mathematical reasoning behind demonstrating that the Jacobian has rank \( n - 1 \).

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • Peter seeks a rigorous demonstration that the mapping \( \phi \) has rank \( n - 1 \) based on the Jacobian matrix \( [D \phi(p)] \).
  • Fresh_42 suggests that the Jacobian matrix has dimensions \( n \times (n-1) \), indicating that the rank can be at most \( n - 1 \) due to the number of independent columns.
  • Fresh_42 also asserts that the first \( n - 1 \) rows of the Jacobian are linearly independent, implying that the rank is at least \( n - 1 \).
  • Mathwonk adds that the matrix represents a linear map from \( \mathbb{R}^{n-1} \) to \( \mathbb{R}^n \), reinforcing the argument regarding the rank limitation.

Areas of Agreement / Disagreement

Participants generally agree on the reasoning regarding the rank of the Jacobian matrix, but the discussion does not reach a consensus on the formal proof or the specific steps needed to demonstrate the rank conclusively.

Contextual Notes

The discussion does not resolve the specific mathematical steps required to conclusively demonstrate the rank of the Jacobian, leaving some assumptions and dependencies on definitions unaddressed.

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TL;DR
Thread involves finding the dimension of a tangent subspace ...
I am reading Andrew McInerney's book: First Steps in Differential Geometry: Riemannian, Contact, Symplectic ... and I am focused on Chapter 3: Advanced Calculus ... and in particular on Section 3.3: Geometric Sets and Subspaces of ##T_p ( \mathbb{R}^n )## ... ...

I need help with an aspect of the proof of Theorem 3.3.13 ... ...

Theorem 3.3.13 (together with a relevant definition) reads as follows:
McInerney - Defn 3.3.12 & Theorem 3.3.13 ... ... Page 1 ... .png

McInerney - 2 - Defn 3.3.12 & Theorem 3.3.13 ... ... Page 2 ... .png

In the above text from McInerney we read the following:

" ... ... The fact that ##\phi## has rank ##n -1## follows by computing the Jacobian matrix at any point in ##U## ... ... "Can someone please demonstrate rigorously, formally and explicitly that ##\phi## has rank ##n -1## ... ...My computations with respect to the Jacobian ##[D \phi(p) ]## were as follows:

We have ##\phi ( x_1, \ ... \ ... \ x_{n-1} ) = ( x_1, \ ... \ ... \ x_{n-1}, f( x_1, \ ... \ ... \ x_{n-1}) )##

Now put ...

##f_1( x_1, \ ... \ ... \ x_{n-1} ) = x_1##

##f_2( x_1, \ ... \ ... \ x_{n-1} ) = x_2##

... ... ...

... ... ...

##f_{n-1}( x_1, \ ... \ ... \ x_{n-1} ) = x_{n-1}##

##f_n( x_1, \ ... \ ... \ x_{n-1} ) = f( x_1, \ ... \ ... \ x_{n-1} )##Then ... the Jacobian ...##[D \phi(p) ] = \begin{bmatrix} \frac{ \partial f_1 }{ \partial x_1} & ... & ... & \frac{ \partial f_1 }{ \partial x_{n-1} } \\ ... & ... & ... & ... \\ ... & ... & ... & ... \\ \frac{ \partial f_{n-1} }{ \partial x_1} & ... & ... & \frac{ \partial f_{n-1} }{ \partial x_{n-1} } \\ \frac{ \partial f }{ \partial x_1} & ... & ... & \frac{ \partial f }{ \partial x_{n-1} } \end{bmatrix}####= \begin{bmatrix} 1 & 0 & 0 & ... & ... & 0 \\ 0 & 1 & 0 & ... & ... & 0 \\ ... & ... & ... & ... & ... & ... \\ ... & ... & ... & ... & ... & ... \\ \frac{ \partial f }{ \partial x_1} & ... & ... & ... & ... & \frac{ \partial f }{ \partial x_{n-1} } \end{bmatrix}##

... now ... how do we show that the rank of ##[D \phi(p) ]## is ##n-1## ...?

Hope someone can help ...

Peter
 
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Hi Peter,

if you write down a bit more of the Jacobi matrix, then it will be
##[D \phi(p) ] = \begin{bmatrix} 1 & 0 & 0 & ... & ... & 0 \\ 0 & 1 & 0 & ... & ... & 0 \\ ... & ... & ... & ... & ... & ... \\ ... & ... & ... & ... & 1 & 0 \\ ... & ... & ... & ... & 0 & 1 \\ \frac{ \partial f }{ \partial x_1} & ... & ... & ... & ... & \frac{ \partial f }{ \partial x_{n-1} } \end{bmatrix}##

We have a matrix of dimensions ##n## times ##n-1##, so the rank can at most be ##n-1## because we cannot have ##n## independent columns, if there are only ##n-1##. The rank is also at least ##n-1## since the first ##n-1## rows are linear independent.
 
Thanks fresh_42 ...

Appreciate your help ...

Peter
 
note also the matrix is that of a linear map from R^n-1 to R^n, hence the rank cannot be more than n-1.
 
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Thanks mathwonk ...

Peter
 

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