MHB Understand Andrew Browder's Prop 8.13: Math Analysis Introduction

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The discussion centers on understanding the proof of Proposition 8.13 from Andrew Browder's "Mathematical Analysis: An Introduction," particularly in the context of differentiable maps. The key point is the application of the limit definition of the differential, leading to inequalities involving the function's behavior near a point. Participants explore the implications of the reverse triangle inequality and the conditions under which certain modulus assumptions can be made. A specific concern is raised about rigorously justifying the transition from one inequality to another while handling absolute values. The conversation emphasizes the need for clarity in mathematical reasoning and proofs within the framework of differentiability.
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I am reading Andrew Browder's book: "Mathematical Analysis: An Introduction" ... ...

I am currently reading Chapter 8: Differentiable Maps and am specifically focused on Section 8.2 Differentials ... ...

I need some further help in fully understanding the proof of Proposition 8.13 ...

Proposition 8.13 reads as follows:
View attachment 9404
View attachment 9405
I think that a fully detailed proof of Proposition 8.13 reads somewhat as follows:Browder's Definition 8.9 essentially means that $$\text{df}_p$$ exists if $$ \lim_{ h \to 0 } \frac{1}{| h | } (f(p + h) - f(p) - \text{df}_p h ) = 0$$
Thus ... if we take $$\epsilon = C - \| df_p \|$$ then we can find $$\delta$$ such that ...$$| | h | \lt \delta \Longrightarrow \frac{1}{ | h | } | (f(p + h) - f(p) - \text{df}_p h ) - 0 | \leq \epsilon$$ ... ... ... (1)so that $$| h | \lt \delta \Longrightarrow | (f(p + h) - f(p) - \text{df}_p h ) | \leq \epsilon | h | $$ ... ... ... (2)Now the reverse triangle inequality (Duistermaat & Kolk Lemma 1.1.7 (iv) ) states that$$\| x - y \| \geq | \ \| x \| - \| y \| \ |$$Using the reverse triangle inequality we have $$| (f(p + h) - f(p) ) - ( \text{df}_p h ) | \geq | \ | f(p + h) - f(p) | - | \text{df}_p h ) | \ | $$ ... ... ... (3)Now (2) and (3) $$\Longrightarrow $$$$| \ | f(p + h) - f(p) | - | \text{df}_p h ) | \ | \leq \epsilon |h|$$ $$\Longrightarrow | f(p + h) - f(p) | \leq | \text{df}_p h | + \epsilon |h|$$
Now $$| \text{df}_p h ) | \leq | \text{df}_p | | h ) |$$ (Is that correct? ) ... so that ...$$| f(p + h) - f(p) | \leq | \text{df}_p | | h ) | + \epsilon |h|$$
$$\Longrightarrow | f(p + h) - f(p) | \leq ( \| \text{df}_p \| + \epsilon ) |h| + C |h|$$
Is that correct?Now ... my specific problem is how to rigorously and validly make the move $$| \ | f(p + h) - f(p) | - | \text{df}_p h ) | \ | \leq \epsilon |h|$$ $$\Longrightarrow | f(p + h) - f(p) | \leq | \text{df}_p h | + \epsilon |h|$$... ... since I have effectively ignored the modulus signs around $$\ | f(p + h) - f(p) | - | \text{df}_p h ) |$$ ...
... that is I have assumed that $$| f(p + h) - f(p) | \geq | \text{df}_p h ) |$$ ...
Can someone please explain how i deal with this issue ...

Help will be much appreciated ...

Peter
 

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Peter said:
Now ... my specific problem is how to rigorously and validly make the move $$| \ | f(p + h) - f(p) | - | \text{df}_p h ) | \ | \leq \epsilon |h|$$ $$\Longrightarrow | f(p + h) - f(p) | \leq | \text{df}_p h | + \epsilon |h|$$... ... since I have effectively ignored the modulus signs around $$\ | f(p + h) - f(p) | - | \text{df}_p h ) |$$ ...
... that is I have assumed that $$| f(p + h) - f(p) | \geq | \text{df}_p h ) |$$ ...
Can someone please explain how i deal with this issue ...
For real numbers $X$ and $Y$, $|X|\leqslant Y$ means $-Y\leqslant X\leqslant Y$. In particular, $|X|\leqslant Y \Longrightarrow X\leqslant Y$.

In this case, $| f(p + h) - f(p) | - | \text{df}_p h | \leqslant\bigl| \ | f(p + h) - f(p) | - | \text{df}_p h | \bigr| \leqslant | \text{df}_p h ) |$.
 
Opalg said:
For real numbers $X$ and $Y$, $|X|\leqslant Y$ means $-Y\leqslant X\leqslant Y$. In particular, $|X|\leqslant Y \Longrightarrow X\leqslant Y$.

In this case, $| f(p + h) - f(p) | - | \text{df}_p h | \leqslant\bigl| \ | f(p + h) - f(p) | - | \text{df}_p h | \bigr| \leqslant | \text{df}_p h ) |$.

Thanks for a most helpful Post, Opalg

Peter
 

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