Directional and Partial Derivatives .... Another Question ....

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Discussion Overview

The discussion revolves around the concept of directional and partial derivatives as presented in "Multidimensional Real Analysis I: Differentiation" by J. J. Duistermaat and J. A. C. Kolk, specifically focusing on the proof of Proposition 2.3.2. Participants seek clarification on the relationship between directional derivatives and partial differentiability, as well as the implications of the linearity of the derivative.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants propose that having directional derivatives in all directions implies the existence of partial derivatives in coordinate directions.
  • One participant presents a mathematical expression showing how to compute the partial derivative using directional derivatives, specifically stating that the partial derivative can be expressed as a directional derivative evaluated at the standard basis vectors.
  • Another participant attempts to demonstrate the relationship between the derivative of a function at a point and the sum of the products of the directional derivatives and the components of a vector.
  • There is a correction regarding the notation and structure of the expressions used to represent the derivative, with emphasis on the importance of including coefficients in the summation.
  • Participants discuss the compactness and clarity of the mathematical expressions, with suggestions for improvement in presentation.

Areas of Agreement / Disagreement

While some participants agree on the correctness of the mathematical relationships presented, there are disagreements regarding the clarity and compactness of the notation used. The discussion remains unresolved as participants continue to refine their arguments and clarify their points.

Contextual Notes

Limitations include potential misunderstandings of the notation and assumptions regarding the linearity of the derivative and the definitions of directional and partial derivatives. The discussion also reflects varying levels of familiarity with the material among participants.

Math Amateur
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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 2: Differentiation ... ...

I need help with another aspect of the proof of Proposition 2.3.2 ... ...

Duistermaat and Kolk's Proposition 2.3.2 and its proof read as follows:
D&K - 1 - Proposition 2.3.2 ...  .... PART 1 ... .png

D&K - 2 - Proposition 2.3.2 ...  .... PART 2 ... .png

In the above proof we read the following:

" ... ... The partial differentiability of (ii) is a consequence of (i); the formula follows from ##Df(a) \in \text{ Lin} ( \mathbb{R}^n , \mathbb{R}^p )## and ##v = \sum_{ 1 \le j \le n } v_j e_j## ( see 1.11) ... ... "Can someone please demonstrate explicitly and rigorously how it is that the partial differentiability of (ii) is a consequence of (i) and, further, how exactly it is that the formula follows from ##Df(a) \in \text{ Lin} ( \mathbb{R}^n , \mathbb{R}^p )## and ##v = \sum_{ 1 \le j \le n } v_j e_j ## ... ...
Help will be much appreciated ...

Peter==========================================================================================***NOTE***

It may help readers of the above post to have access to the start of Section "2.3: Directional and Partial Derivatives" ... in order to understand the context and notation of the post ... so I am providing the same ... as follows:
D&K - Start of Section 2.3 on Directional and Partial Derivatives  ... .png

The above post refers to (1.1) so I am providing text relevant to and including (1.1) ... as follows ...
D&K - Defn 1.1.3 and (1.1) ... .png

Hope that the above notes/text help readers of the post understand the context and notation of the post ...

Peter
 

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  • D&K - 2 - Proposition 2.3.2 ...  .... PART 2 ... .png
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  • D&K - Start of Section 2.3 on Directional and Partial Derivatives  ... .png
    D&K - Start of Section 2.3 on Directional and Partial Derivatives ... .png
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  • D&K - Defn 1.1.3 and (1.1) ... .png
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Math Amateur said:
Can someone please demonstrate explicitly and rigorously how it is that the partial differentiability of (ii) is a consequence of (i) ...
If we have directional derivatives in all directions, we automatically have those in coordinate directions, which are exactly the partial derivatives.
$$
\left. \frac{\partial}{\partial x_i}\right|_{a}f = (D_af) (0,\ldots , 1\text{ (i-th position) } , \ldots , 0) = (D_af)(e_i) )= Df(a)(e_i)$$
... and, further, how exactly it is that the formula follows from ##Df(a) \in \text{ Lin} ( \mathbb{R}^n , \mathbb{R}^p )## and ##v = \sum_{ 1 \le j \le n } v_j e_j ### ... ...
We want to compute ##Df(a)(v)##. What do you get, if you put in ##v=\sum_{j=1}^nv_je_j## and write ##Df(a)## as matrix ##((Df(a))_{i,j})_{1 \leq i,j \leq n}\,?## (Note: ##D_jf(a) = (\,Df(a)_{1,j}\, , \,Df(a)_{2,j}\, , \,\ldots \, , \,Df(a)_{n,j} \,)\,##)
 
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Hi fresh_42 ...

Here is an attempt to show ##Df(a) v = \sum_{ 1 \le j \le n } v_j D_j f(a) ## (##v \in \mathbb{R}^n## )Now we have ...

##Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} ## ##\begin{pmatrix} v_1 \\ v_2 \\ ... \\ ... \\ ... \\ v_n \end{pmatrix}#### = \begin{pmatrix} D_1 f_1(a) v_1 & D_2 f_1(a) v_2 & ... & ... & D_n f_1(a) v_n \\ D_1 f_2(a) v_1 & D_2 f_2(a) v_2 & ... & ... & D_n f_2(a) v_n \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) v_1 & D_2 f_p(a) v_2 & ... & ... & D_n f_p(a) v_n \end{pmatrix}##Now ##D_j f(a) = D_{e_j} f(a) = D f(a) e_j## ...But ... taking (as an example) j = 1 ... ... i.e. e_j = e_1 ... we have## D f(a) e_1 = Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} ## ##\begin{pmatrix} 1 \\ 0 \\ 0 \\ ... \\ ... \\ ... \\ 0 \end{pmatrix}##

##= \begin{pmatrix} D_1 f_1 (a) \\ D_1 f_2 (a) \\ D_1 f_3 (a) \\ ... \\ ... \\ ... \\ D_1 f_p (a) \end{pmatrix}##

##= D_{ e_1} f(a) = D_1 f(a)##... and similar expressions can be derived for ##D_2 f(a), D_3 f(a) , \ ... \ ...\ , \ D_n f(a)## ...From the above, it is clear that ##\sum_{ 1 \le j \le n} v_j D_j f(a) = Df(a) v##Can someone please confirm that the above is basically correct ...?

Peter
 
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Basically, this is correct. You should have written it in a compact form, but o.k. ...
Math Amateur said:
Hi fresh_42 ...

Here is an attempt to show ##Df(a) v = \sum_{ 1 \le j \le n } v_j D_j f(a) ## (##v \in \mathbb{R}^n## )Now we have ...

##Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} ## ##\begin{pmatrix} v_1 \\ v_2 \\ ... \\ ... \\ ... \\ v_n \end{pmatrix}#### = \begin{pmatrix} D_1 f_1(a) v_1 & D_2 f_1(a) v_2 & ... & ... & D_n f_1(a) v_n \\ D_1 f_2(a) v_1 & D_2 f_2(a) v_2 & ... & ... & D_n f_2(a) v_n \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) v_1 & D_2 f_p(a) v_2 & ... & ... & D_n f_p(a) v_n \end{pmatrix}##
Here are plus signs missing. We have ##D_1 f_1(a) v_1 + D_2 f_1(a) v_2 + ... + ... + D_n f_1(a) v_n## etc.
Now ##D_j f(a) = D_{e_j} f(a) = D f(a) e_j## ...But ... taking (as an example) j = 1 ... ... i.e. e_j = e_1 ... we have## D f(a) e_1 = Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} ## ##\begin{pmatrix} 1 \\ 0 \\ 0 \\ ... \\ ... \\ ... \\ 0 \end{pmatrix}##
Here you've lost the coefficients: ##v=v_1\cdot e_1 +\ldots + v_n\cdot e_n##, so in the first row as in your example, it is not ##1## but ##v_1##. I see why and that you inserted it below again, which is a bit confusing, but o.k. However, in this case you shouldn't have mentioned ##v## here at all, or second best, set ##v=e_1\,.##Second best, because this is also a bit confusing.
##= \begin{pmatrix} D_1 f_1 (a) \\ D_1 f_2 (a) \\ D_1 f_3 (a) \\ ... \\ ... \\ ... \\ D_1 f_p (a) \end{pmatrix}##

##= D_{ e_1} f(a) = D_1 f(a)##... and similar expressions can be derived for ##D_2 f(a), D_3 f(a) , \ ... \ ...\ , \ D_n f(a)## ...From the above, it is clear that ##\sum_{ 1 \le j \le n} v_j D_j f(a) = Df(a) v##Can someone please confirm that the above is basically correct ...?

Peter
 
Math Amateur said:
Hi fresh_42 ...

Here is an attempt to show ##Df(a) v = \sum_{ 1 \le j \le n } v_j D_j f(a) ## (##v \in \mathbb{R}^n## )Now we have ...

##Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} ## ##\begin{pmatrix} v_1 \\ v_2 \\ ... \\ ... \\ ... \\ v_n \end{pmatrix}#### = \begin{pmatrix} D_1 f_1(a) v_1 & D_2 f_1(a) v_2 & ... & ... & D_n f_1(a) v_n \\ D_1 f_2(a) v_1 & D_2 f_2(a) v_2 & ... & ... & D_n f_2(a) v_n \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) v_1 & D_2 f_p(a) v_2 & ... & ... & D_n f_p(a) v_n \end{pmatrix}##Now ##D_j f(a) = D_{e_j} f(a) = D f(a) e_j## ...But ... taking (as an example) j = 1 ... ... i.e. e_j = e_1 ... we have## D f(a) e_1 = Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} ## ##\begin{pmatrix} 1 \\ 0 \\ 0 \\ ... \\ ... \\ ... \\ 0 \end{pmatrix}##

##= \begin{pmatrix} D_1 f_1 (a) \\ D_1 f_2 (a) \\ D_1 f_3 (a) \\ ... \\ ... \\ ... \\ D_1 f_p (a) \end{pmatrix}##

##= D_{ e_1} f(a) = D_1 f(a)##... and similar expressions can be derived for ##D_2 f(a), D_3 f(a) , \ ... \ ...\ , \ D_n f(a)## ...From the above, it is clear that ##\sum_{ 1 \le j \le n} v_j D_j f(a) = Df(a) v##Can someone please confirm that the above is basically correct ...?

Peter
fresh_42 said:
Basically, this is correct. You should have written it in a compact form, but o.k. ...

Here are plus signs missing. We have ##D_1 f_1(a) v_1 + D_2 f_1(a) v_2 + ... + ... + D_n f_1(a) v_n## etc.

Here you've lost the coefficients: ##v=v_1\cdot e_1 +\ldots + v_n\cdot e_n##, so in the first row as in your example, it is not ##1## but ##v_1##. I see why and that you inserted it below again, which is a bit confusing, but o.k. However, in this case you shouldn't have mentioned ##v## here at all, or second best, set ##v=e_1\,.##Second best, because this is also a bit confusing.
Hi fresh_42 ...

I think the following is correct ... having noted the errors that you pointed out ...

Another attempt to show ##Df(a) v = \sum_{ 1 \le j \le n } v_j D_j f(a) \ \ \ \ (v \in \mathbb{R}^n )##Now we have ...##Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} \begin{pmatrix} v_1 \\ v_2 \\ ... \\ ... \\ ... \\ v_n \end{pmatrix}##

## = \begin{pmatrix} D_1 f_1(a) v_1 + D_2 f_1(a) v_2 + \ ... \ ... \ + D_n f_1(a) v_n \\ D_1 f_2(a) v_1 + D_2 f_2(a) v_2 + \ ... \ ... \ + D_n f_2(a) v_n \\ ... \ ... \ ... \ ... \ ... \\ ... \ ... \ ... \ ... \ ... \\ ... \ ... \ ... \ ... \ ... \\ D_1 f_p(a) v_1 + D_2 f_p(a) v_2 + \ ... \ ... \ + D_n f_p(a) v_n \end{pmatrix} ##
Now ##D_j f(a) = D_{e_j} f(a) = D f(a) e_j## ...

But ... taking (as an example) ##j = 1## ... ... i.e. ##e_j = e_1## ... we have

## D_1 f(a) = D_{ e_1} f(a) = D f(a) e_1 = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} \begin{pmatrix} 1 \\ 0 \\ 0 \\ ... \\ ... \\ ... \\ 0 \end{pmatrix}##
##= \begin{pmatrix} D_1 f_1 (a) \\ D_1 f_2 (a) \\ D_1 f_3 (a) \\ ... \\ ... \\ ... \\ D_1 f_p (a) \end{pmatrix}##
##= D_{ e_1} f(a) = D_1 f(a) ##
... and similar expressions can be derived for ##D_2 f(a), D_3 f(a) , \ ... \ ...\ , \ D_n f(a)## ...

From the above, it is clear that ##\sum_{ 1 \le j \le n} v_j D_j f(a) = Df(a) v## ( a few explicit steps to go though!) Hope that corrects the errors ...

Peter
 
Math Amateur said:
Hi fresh_42 ...

I think the following is correct ... having noted the errors that you pointed out ...

Another attempt to show ##Df(a) v = \sum_{ 1 \le j \le n } v_j D_j f(a) \ \ \ \ (v \in \mathbb{R}^n )##Now we have ...##Df(a) v = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} \begin{pmatrix} v_1 \\ v_2 \\ ... \\ ... \\ ... \\ v_n \end{pmatrix}##

## = \begin{pmatrix} D_1 f_1(a) v_1 + D_2 f_1(a) v_2 + \ ... \ ... \ + D_n f_1(a) v_n \\ D_1 f_2(a) v_1 + D_2 f_2(a) v_2 + \ ... \ ... \ + D_n f_2(a) v_n \\ ... \ ... \ ... \ ... \ ... \\ ... \ ... \ ... \ ... \ ... \\ ... \ ... \ ... \ ... \ ... \\ D_1 f_p(a) v_1 + D_2 f_p(a) v_2 + \ ... \ ... \ + D_n f_p(a) v_n \end{pmatrix} ##
Now ##D_j f(a) = D_{e_j} f(a) = D f(a) e_j## ...

But ... taking (as an example) ##j = 1## ... ... i.e. ##e_j = e_1## ... we have

## D_1 f(a) = D_{ e_1} f(a) = D f(a) e_1 = \begin{pmatrix} D_1 f_1(a) & D_2 f_1(a) & ... & ... & D_n f_1(a) \\ D_1 f_2(a) & D_2 f_2(a) & ... & ... & D_n f_2(a) \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ ... & ... & ... & ... &... \\ D_1 f_p(a) & D_2 f_p(a) & ... & ... & D_n f_p(a) \end{pmatrix} \begin{pmatrix} 1 \\ 0 \\ 0 \\ ... \\ ... \\ ... \\ 0 \end{pmatrix}##
##= \begin{pmatrix} D_1 f_1 (a) \\ D_1 f_2 (a) \\ D_1 f_3 (a) \\ ... \\ ... \\ ... \\ D_1 f_p (a) \end{pmatrix}##
##= D_{ e_1} f(a) = D_1 f(a) ##
... and similar expressions can be derived for ##D_2 f(a), D_3 f(a) , \ ... \ ...\ , \ D_n f(a)## ...

From the above, it is clear that ##\sum_{ 1 \le j \le n} v_j D_j f(a) = Df(a) v## ( a few explicit steps to go though!)Hope that corrects the errors ...

Peter
l will now attempt to, explicitly, complete the demonstration that ##Df(a) v = \sum_{ 1 \le j \le n } v_j D_j f(a) \ \ \ \ (v \in \mathbb{R}^n ) ##In the previous post we have demonstrated that

##D_1 f(a) = D_{ e_1} f(a) = D f(a) e_1 = \begin{pmatrix} D_1 f_1 (a) \\ D_1 f_2 (a) \\ D_1 f_3 (a) \\ ... \\ ... \\ ... \\ D_1 f_p (a) \end{pmatrix}##

... ... and in general

##D_j f(a) = D_{ e_j} f(a) = D f(a) e_j =\begin{pmatrix} D_j f_1 (a) \\ D_j f_2 (a) \\ D_j f_3 (a) \\ ... \\ ... \\ ... \\ D_j f_p (a) \end{pmatrix}##
So ...##v_1 D_1 f(a) = v_1 \begin{pmatrix} D_1 f_1 (a) \\ D_1 f_2 (a) \\ D_1 f_3 (a) \\ ... \\ ... \\ ... \\ D_1 f_p (a) \end{pmatrix} = \begin{pmatrix} v_1 D_1 f_1 (a) \\ v_1 D_1 f_2 (a) \\ v_1 D_1 f_3 (a) \\ ... \\ ... \\ ... \\ v_1 D_1 f_p (a) \end{pmatrix} = \begin{pmatrix} D_1 f_1 (a) v_1 \\ D_1 f_2 (a) v_1 \\ D_1 f_3 (a) v_1 \\ ... \\ ... \\ ... \\ D_1 f_p (a) v_1 \end{pmatrix}##
and in general ...##v_j D_j f(a) = \begin{pmatrix} D_j f_1 (a) v_j \\ D_j f_2 (a) v_j \\ D_j f_3 (a) v_j \\ ... \\ ... \\ ... \\ D_j f_p (a) v_j \end{pmatrix}##
So ... ...## \sum_{ 1 \le j \le n } v_j D_j f(a)####= \begin{pmatrix} D_1 f_1 (a) v_1 \\ D_1 f_2 (a) v_1 \\ D_1 f_3 (a) v_1 \\ ... \\ ... \\ ... \\ D_1 f_p (a) v_1 \end{pmatrix} + \begin{pmatrix} D_2 f_1 (a) v_2 \\ D_2 f_2 (a) v_2 \\ D_2 f_3 (a) v_2 \\ ... \\ ... \\ ... \\ D_2 f_p (a) v_2 \end{pmatrix} + \ ... \ ... \ \begin{pmatrix} D_j f_1 (a) v_j \\ D_j f_2 (a) v_j \\ D_j f_3 (a) v_j \\ ... \\ ... \\ ... \\ D_j f_p (a) v_j \end{pmatrix} + \ ... \ ... \ + \begin{pmatrix} D_n f_1 (a) v_n \\ D_n f_2 (a) v_n \\ D_n f_3 (a) v_n \\ ... \\ ... \\ ... \\ D_n f_p (a) v_n \end{pmatrix}#### = \begin{pmatrix} D_1 f_1(a) v_1 + D_2 f_1(a) v_2 + \ ... \ ... \ + D_n f_1(a) v_n \\ D_1 f_2(a) v_1 + D_2 f_2(a) v_2 + \ ... \ ... \ + D_n f_2(a) v_n \\ ... \ ... \ ... \ ... \ ... \\ ... \ ... \ ... \ ... \ ... \\ ... \ ... \ ... \ ... \ ... \\ D_1 f_p(a) v_1 + D_2 f_p(a) v_2 + \ ... \ ... \ + D_n f_p(a) v_n \end{pmatrix} ####= Df(a) v##
Can someone please either confirm the above demonstration is correct or point out the errors and shortcomings ...

Peter
 
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Yes, these are correct.

As a final note, I like to mention (and hope that I haven't confused indexes here), that the abbreviation ##D_jf(a)## can be done as it is clear from the context what is meant. However, it adds another unnecessary convention to all of those which are already there anyway. Better would have been to write it as ##Df(a)(e_j)## or ##(Df(a)_{i,j})_{1\leq i \leq p}## or at least mention that the matrix entry is
$$(Df(a))_{i,j} = D_jf_i(a)$$ Of course this would have shrunk the main part of the second part of the proposition to what it actually is, namely a convention for the matrix which represents ##Df(a)## rather than an assertion:
\begin{align*}
Df(a)\, : \,\mathbb{R}^n \rightarrow \mathbb{R}^p \text{ linear } &\Rightarrow Df(a) \text{ matrix, if given a basis } \\
&\Rightarrow (Df(a))_{i,j} \text{ matrix entries } \\
&\Rightarrow (Df(a))_{1 \leq i \leq p, j} = D_jf(a) \text{ convention for the matrix columns } \\
&\Rightarrow (Df(a))_{i,j}=(D_jf(a))_i=D_jf_i(a) \\
&\text{ given by the definition of the function as } f=(f_1,\ldots,f_p)
\end{align*}
 
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