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

In summary, the fact that ##\phi## has rank ##n -1## follows by computing the Jacobian matrix at any point in ##U##. 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
  • #1
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TL;DR Summary
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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  • #2
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.
 
  • #3
Thanks fresh_42 ...

Appreciate your help ...

Peter
 
  • #4
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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  • #5
Thanks mathwonk ...

Peter
 

1. What is a Tangent Space?

A tangent space is a mathematical concept used in differential geometry to describe the space of all possible tangent vectors at a point on a manifold. It is a vector space that is tangent to the manifold at that point, and can be thought of as the "best approximation" of the manifold at that point.

2. What is a Subspace?

A subspace is a subset of a vector space that satisfies all the properties of a vector space. This means that it is closed under vector addition and scalar multiplication, and contains the zero vector. In other words, it is a smaller vector space that exists within a larger vector space.

3. What is McInerney Theorem 3.3.13?

McInerney Theorem 3.3.13 is a theorem in differential geometry that states that the tangent space to a submanifold of a Euclidean space is a subspace of the tangent space to the ambient space. In other words, the tangent space to a submanifold is a subset of the tangent space to the larger space.

4. How is McInerney Theorem 3.3.13 used in science?

McInerney Theorem 3.3.13 is used in science, particularly in the field of differential geometry, to help understand the geometry of submanifolds and their relationship to the larger space. It is also used in applications such as computer graphics and robotics to model and manipulate objects in 3D space.

5. Can you give an example of how Tangent Spaces and Subspaces are used in science?

One example of how Tangent Spaces and Subspaces are used in science is in the study of surfaces and curves. In this context, tangent spaces are used to describe the local behavior of a surface or curve at a specific point, and subspaces are used to represent the space of all possible tangent vectors at that point. This allows scientists to analyze and manipulate surfaces and curves in a more precise and systematic way.

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