Orthogonality of time dependent vector derivatives of constant magnitude

AI Thread Summary
The discussion centers on the orthogonality of the derivative of a time-dependent vector function with constant magnitude. It is clarified that if the vector function r(t) maintains a constant magnitude, then the derivative r dot must be orthogonal to r. This is demonstrated by differentiating the equation r^2 = r(t) · r(t), leading to insights about the relationship between the vector and its derivative. Participants emphasize the importance of understanding the implications of constant magnitude on the derivative's properties. The conversation highlights the mathematical reasoning behind this orthogonality concept.
lordkelvin
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I'm having trouble understanding why a derivative of a time dependent vector function is orthogonal to the original function. Can anybody give me some enlightenment? I searched around for some previous talk about this, and I can't find anything.

Thanks.
 
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You have to be a bit more specific... I don't understand your question right now.
 
Does the time-dependent vector have constant magnitude?
 
Yes the original vector function is of constant magnitude. Take a vector function r(t) of constant magnitude and then r dot should be orthogonal to r. I don't understand why.
 
Take the derivative with respect to time of both sides of

r^2 = \bold{r}\left( t \right) \cdot \bold{r}\left( t \right).

What do you get?
 
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