Norms in R^n .... and Aut(R^n) .... .... D&K Corollary 1.8.12 .... ....

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Discussion Overview

The discussion revolves around understanding Corollary 1.8.12 from "Multidimensional Real Analysis I: Differentiation" by Duistermaat and Kolk, specifically focusing on the properties of norms in R^n and the automorphisms of R^n. Participants are seeking clarification on the derivation of certain inequalities related to linear transformations and their inverses.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • Peter expresses confusion about deriving the result $$c_2^{-1} \|x\| \leq \|A^{-1}x\| \leq c_1^{-1} \|x\|$$ from the known bounds on $$\|Ax\|$$.
  • One participant suggests rewriting $$x$$ as $$AA^{-1}x$$ and setting $$y = A^{-1}x$$ to utilize existing inequalities.
  • Another participant reiterates the same suggestion, emphasizing the use of the known inequality on $$Ay$$.
  • Peter acknowledges the advice but indicates difficulty in applying it to determine the bounds on $$Ay$$.
  • A later response provides a detailed step-by-step derivation of the inequalities, confirming the approach suggested earlier.
  • Peter expresses gratitude for the assistance and notes an improvement in his understanding of analysis in $$\mathbb{R}^n$$.

Areas of Agreement / Disagreement

Participants generally agree on the method of rewriting $$x$$ and using the known inequalities, but there is no consensus on the clarity of the derivation process, as Peter continues to seek further assistance.

Contextual Notes

Participants reference specific inequalities and transformations without fully resolving the underlying assumptions or steps necessary for the derivation, indicating a reliance on prior knowledge and definitions.

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I am reading "Multidimensional Real Analysis I: Differentiation" by J. J. Duistermaat and J. A. C. Kolk ...

I am focused on Chapter 1: Continuity ... ...

I need help with an aspect of Corollary 1.8.12 ... ...

Duistermaat and Kolk's Corollary 1.8.12 and the preceding definition of $$\text{Aut} \mathbb{R}^n$$ read as follows:View attachment 7747
I can see how D&K arrive at the result:

$$c_1 \mid \mid x \mid \mid \le \mid \mid Ax \mid \mid \le c_2 \mid \mid x \mid \mid$$... BUT ... how, exactly, did D&K derive the result ...$$c_2^{ -1 } \mid \mid x \mid \mid \le \mid \mid A^{ -1 } x \mid \mid \le c_1^{ -1 } \mid \mid x \mid \mid
$$
Hope that someone can help ...

Peter=========================================================================================

***NOTE***

It may help MHB members reading the above post to have access to the results preceding Corollary 1.8.12 ... so I am providing the same ... as follows:https://www.physicsforums.com/attachments/7745
View attachment 7746Hope that helps ...

Peter
 
Last edited:
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Hi, Peter.

The trick is to write $x=AA^{-1}x$. Now set $y=A^{-1}x$ and see if you can use the bounds you know to be true on $Ay.$
 
GJA said:
Hi, Peter.

The trick is to write $x=AA^{-1}x$. Now set $y=A^{-1}x$ and see if you can use the bounds you know to be true on $Ay.$
Thanks ...

Just reflecting on this ...

Peter
 
Peter said:
Thanks ...

Just reflecting on this ...

Peter
Sorry GJA ... despite your help, I am not making progress ...

In particular having trouble determining the bounds on Ay ...

Can you please help further ...

Peter
 
We have $x=AA^{-1}x$. Setting $y=A^{-1}x$ and using the known inequality we obtain
$$\|x\|=\|AA^{-1}x\|=\|Ay\|\leq c_{2}\|y\|=c_{2}\|A^{-1}x\|.$$
Dividing through by $c_{2}$ we get
$$c_{2}^{-1}\|x\|\leq \|A^{-1}x\|,$$
as desired. A similar argument will give the second inequality.
 
GJA said:
We have $x=AA^{-1}x$. Setting $y=A^{-1}x$ and using the known inequality we obtain
$$\|x\|=\|AA^{-1}x\|=\|Ay\|\leq c_{2}\|y\|=c_{2}\|A^{-1}x\|.$$
Dividing through by $c_{2}$ we get
$$c_{2}^{-1}\|x\|\leq \|A^{-1}x\|,$$
as desired. A similar argument will give the second inequality.
Thanks for your guidance and assistance GJA ... I appreciate your help ...

With your help I am beginning to understand analysis in $$\mathbb{R}^n$$ ...

Thanks again ...

Peter
 
Any time, Peter!
 

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