MHB Directional and Partial Derivatives ....Notation .... D&K ....

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The discussion centers on the notation for directional and partial derivatives as presented in "Multidimensional Real Analysis I: Differentiation" by Duistermaat and Kolk. The user seeks clarification on whether their interpretation of D&K's notation aligns with the common 'partials' notation, specifically the Jacobi notation. Peter confirms that the user's understanding is correct and suggests consulting Wolfgang Walter's book on differential equations and Roseenwasser's works on control systems for similar notation. The conversation highlights the importance of consistent notation in mathematical analysis. Overall, the clarification reinforces the connection between different notational systems in differentiation.
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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 an aspect of D&K's notation for directional and partial derivatives ... ...

D&K's definition of directional and partial derivatives reads as follows:View attachment 7855In a previous post I have demonstrated that $$D_j f(a) = D_{ e_j} f(a) = D f(a) e_j = \begin{pmatrix} D_j f_1 (a) \\ D_j f_2 (a) \\ D_j f_3 (a) \\ ... \\ ... \\ ... \\ D_j f_p (a) \end{pmatrix}$$
I am assuming that in the common 'partials' notation ( Jacobi notation ) that the above can be expressed as follows:
$$D_j f(a) = \frac{ \partial f }{ \partial x_j } = \begin{pmatrix} \frac{ \partial f_1 }{ \partial x_j } (a) \\ \frac{ \partial f_2 }{ \partial x_j } (a) \\ \frac{ \partial f_3 }{ \partial x_j } (a) \\ ... \\ ... \\ ... \\\frac{ \partial f_p }{ \partial x_j } (a) \end{pmatrix}$$Is that correct use of notation/terminology ...?

Peter
 
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Yes. Check out Wolfgang Walter's book on DE's. Or Roseenwasser's books on autonomous control systems using sensitivity analysis. Notation is similar in both.
 
We all know the definition of n-dimensional topological manifold uses open sets and homeomorphisms onto the image as open set in ##\mathbb R^n##. It should be possible to reformulate the definition of n-dimensional topological manifold using closed sets on the manifold's topology and on ##\mathbb R^n## ? I'm positive for this. Perhaps the definition of smooth manifold would be problematic, though.

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