Not sure what square brackets indicate when dealing with partial derivates

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The discussion clarifies the meaning of square brackets in the context of partial derivatives, specifically regarding the notation ∇phi[r(t)]. It explains that ∇phi represents the gradient of the scalar function phi, which involves taking partial derivatives with respect to each coordinate axis. The notation phi[vec{r}(t)] indicates that phi is a function of vec{r}, which is parameterized by time t. The use of square brackets instead of parentheses is simply a stylistic choice to avoid confusion with the existing parentheses around vec{r}(t). Ultimately, both notations convey the same mathematical meaning.
Kushwoho44
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Hi guys, attached is a picture of my problem and it is also underlined.

5zil9k.jpg


I've been reading through this theory and I just don't understand what the square brackets indicate.

I understand that ∇phi is the partial derivative with respect to the scalar function phi.

But what is ∇phi [r(t)] ?

I feel ashamed asking this like I'm going to be laughed at.
 
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##\nabla\phi## is the the gradient of ##\phi##: it is read "grad phi" or "del phi".
So it involved taking the partial derivative of phi with respect to each coordinate axis.
http://en.wikipedia.org/wiki/Gradient

##\phi[\vec{r}(t)]## is just telling you that ##\phi## is a function of ##\vec{r}## which, in turn, is a function of ##t##. What they've done is parameterized the path represented by the C. Having turned ##\phi## into a function of just one variable, the gradient is much simplified.
 
They are just using "[ ]" in place of "( )" because they are already using "( )" for the "\vec{r}(t)" and don't want to have "))". There is no difference in meaning.
 
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