Differentiation with respect vector

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SUMMARY

The discussion centers on the differentiation and integration of functions with respect to vectors, specifically using the notation f(𝑟(t)). The key findings include that df/dt can be expressed as ∇f · D𝑟, where D𝑟 represents the derivative of the vector function. Additionally, the integration with respect to a vector is defined as ∫f d𝑟 = ∇⁻¹f. The conversation suggests that formalizing the differentiation and integration of vectors can be achieved through operations such as ∇ · 𝑓 and ∇ × 𝑓.

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Jhenrique
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Helow!

For a long time I aks me if exist differentiation/integration with respect to vector and I think that today I discovered the answer! Given:
f(\vec{r}(t))
So, df/dt is:
\bigtriangledown f\cdot D\vec{r}
But, df/dt is:
\frac{df}{d\vec{r}}\cdot \frac{d\vec{r}}{dt}
This means that:
\frac{d\vec{r}}{dt}=D\vec{r}
and:
\frac{df}{d\vec{r}}=\bigtriangledown f

So, analogously, the integration with respect to vector is:
\int f\;d\vec{r}=\bigtriangledown ^{-1}f

What make I think that:
\frac{\mathrm{d} }{\mathrm{d} \vec{r}}=\bigtriangledown

Then, would be possible to formalize the differintegration of vector with respect to vector too by:
\bigtriangledown \cdot \vec{f},\;\;\;\bigtriangledown \times \vec{f},\;\;\;\bigtriangledown^{-1} \cdot \vec{f}\;\;\;and\;\;\;\bigtriangledown^{-1} \times \vec{f}

What you think about all this?
 
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It may make more sense of you expand \vec r in a basis - say: Cartesian.
See which ideas make sense.

But you can differentiate and integrate vectors - look up vector-valued functions for instance.
 

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