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I often need to compute derivatives or integrals involving N-dimensional vectors (where the dimension could be equal to 2 or 3 but is not particularly relevant for the sake of the derivation). The only way I know to translate this into valid Mathematica input is to specialize to a particular N and define all quantities component-wise.

A simple example: computing the time derivative of a normalized quantity

Time derivative of a normalized quantity

While correct, this can obviously get extremely messy fast. At that point, I find it easier to just do the computation by hand using generic vector calculus identities which work for vectors of any dimension.

I was wondering if there is a way of doing such computations using an abstract vector type? This post references a Vectors command that is potentially related, but it was not clear to me how to use it for calculus.

Edit: After some more experimentation with Vectors, I was able to get quite close to what I was looking for:

$Assumptions = V[t] \[Element] Vectors[3, Reals];
Simplify[D[V[t]/Sqrt[Dot[V[t], V[t]]], t]]

$$\frac{2 V(t).V(t) V'(t)-V(t) \left(V(t).V'(t)+V'(t).V(t)\right)}{2 (V(t).V(t))^{3/2}}$$

However, neither Simplify[] nor TensorReduce[] could simplify the commutative dot product in the expression above.

share|improve this question
There may be different levels of “abstract” in “abstract vectors”. I'd say they are not “abstract” if kept in coordinate-based form {x@t, y@t, z@t}. Things will probably always get messy unless you use coordinate-free approach, or at least abstract indices. en.wikipedia.org/wiki/Abstract_index_notation To my knowledge, there is no Mathematica package for the latter (definitely no built-in support); as to the former, you might be interested in this: wolfram.com/products/applications/atlas2 –  Akater Jun 6 at 20:57
Plus, post code, not images as it is easier to experiment with it. –  Sektor Jun 6 at 21:07
Take a look here How to declare a 3D vector variable? –  Artes Jun 6 at 21:13
@Artes: I have updated my question. –  Wenzel Jakob Jun 6 at 22:14
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