Norm of a Linear Transformation: Proving Homogeneity From Definition - Peter

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SUMMARY

The discussion centers on proving the homogeneity property of a linear transformation as defined in Proposition 9.2.3 of Hugo D. Junghenn's "A Course in Real Analysis." Specifically, it establishes that for a linear transformation \( T \) in \( \mathcal{L}(\mathbb{R}^n, \mathbb{R}^m) \), the relationship \( \| tT \| = |t| \| T \| \) holds for any scalar \( t \in \mathbb{R} \). The proof utilizes the definition of the transformation \( tT \) and the properties of norms in \( \mathbb{R}^m \). This rigorous demonstration confirms that homogeneity is a direct consequence of the norm's defining properties.

PREREQUISITES
  • Understanding of linear transformations in vector spaces
  • Familiarity with the concept of norms in \( \mathbb{R}^n \)
  • Knowledge of the supremum norm and its properties
  • Basic proficiency in mathematical proofs and analysis
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  • Study the properties of norms in \( \mathcal{L}(\mathbb{R}^n, \mathbb{R}^m) \)
  • Learn about the supremum norm and its applications in functional analysis
  • Explore other propositions in Chapter 9 of "A Course in Real Analysis" by Hugo D. Junghenn
  • Practice proving linear transformation properties using rigorous definitions
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I am reading Hugo D. Junghenn's book: "A Course in Real Analysis" ...

I am currently focused on Chapter 9: "Differentiation on $$\mathbb{R}^n$$"

I need some help with the proof of Proposition 9.2.3 ...

Proposition 9.2.3 and the preceding relevant Definition 9.2.2 read as follows:
View attachment 7904
https://www.physicsforums.com/attachments/7905

Near the end of the above proof we read the following:

" ... ... To see that $$\| T \|$$ defines a norm, note that homogeneity follows directly from the definition ... ... "
My question is as follows:

How, exactly, do we demonstrate rigorously that homogeneity follows directly from the definition ... that is how do we show that

$$\| t T \| = \ \mid t \mid \| T \|$$ ... ... for $$t \in \mathbb{R}$$ ... ... ?

Help will be appreciated ...

Peter
 
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Peter said:
How, exactly, do we demonstrate rigorously that homogeneity follows directly from the definition ... that is how do we show that

$$\| t T \| = \ \mid t \mid \| T \|$$ ... ... for $$t \in \mathbb{R}$$ ... ... ?
The defining properties for the norm in $\mathcal{L}(\Bbb{R}^n,\Bbb{R}^m)$ follow from those for the norm in $\Bbb{R}^m$.

For the homogeneity property, the definition of $tT$ is given by $(tT)\mathbf{x}) = t(T\mathbf{x})$. So $$\|(tT)\mathbf{x})\| = \|t(T\mathbf{x})\| = |t|\|T\mathbf{x}\|.$$ If you now take the sup over all $\mathbf{x}$ with $\|\mathbf{x}\|=1$, it follows that $\|tT\| = |t|\|T\|.$
 
Opalg said:
The defining properties for the norm in $\mathcal{L}(\Bbb{R}^n,\Bbb{R}^m)$ follow from those for the norm in $\Bbb{R}^m$.

For the homogeneity property, the definition of $tT$ is given by $(tT)\mathbf{x}) = t(T\mathbf{x})$. So $$\|(tT)\mathbf{x})\| = \|t(T\mathbf{x})\| = |t|\|T\mathbf{x}\|.$$ If you now take the sup over all $\mathbf{x}$ with $\|\mathbf{x}\|=1$, it follows that $\|tT\| = |t|\|T\|.$
Thanks Opalg ...

That cleared up that issue ...

Thanks again ...

Peter
 

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