B The norm of the derivative of a vector

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The discussion centers on whether the norm of the derivative of a vector equals the derivative of the norm of the vector with respect to the parameterization variable. Participants highlight that the left-hand side and right-hand side of the proposed equation do not align in meaning, particularly questioning the differentiability of the norm function at certain points. It is clarified that the equation holds under specific conditions, such as when the vector is expressed in a certain form and the behavior of the norm is considered over different intervals of the parameter. Ultimately, the consensus is that the general equation does not hold true without additional constraints. Understanding the nuances of differentiability and the application of the chain rule is essential for resolving the question.
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Is the norm of the derivative of a vector the same as taking the derivative of the norm of the vector with respect to the norm of the parameterization variable?
Is the following true?
##\left| \frac{d\vec{u}}{d t} \right| \overset{?}{=} \frac{d |\vec{u}|}{d |t|}##
 
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redtree said:
Summary:: Is the norm of the derivative of a vector the same as taking the derivative of the norm of the vector with respect to the norm of the parameterization variable?

Is the following true?
##\left| \frac{d\vec{u}}{d t} \right| \overset{?}{=} \frac{d |\vec{u}|}{d |t|}##
This doesn't make much sense. The LHS looks as if you meant the norm of the function ##p\longmapsto \left. \dfrac{d}{d t}\right|_{t=p} u(t)## but it could as well mean the norm of the (unbounded) differential operator ##u \longmapsto u'##. The RHS makes no sense at all. The nominator relates to the function ##t\longmapsto |u(t)|,## which isn't differentiable, but what is ##d|t|?## A one-sided limit?

The Leibniz notation is an abbreviation for a limit, it cannot be handled like an ordinary quotient.
 
Instead of ##\vec{u}(t)##, what if one considers a function ##\vec{u}(|t|) = \big( (|t|)^2 + C \big)^{1/2}##, where ##C## is a constant, why would that function not be differentiable by ##|t|##?
 
redtree said:
I do mean the function ##\vec{u}(t)##, not the differentiable operator. My understanding of norms is that they are differentiable; see https://en.wikipedia.org/wiki/Norm_(mathematics)#p-norm
##|\cdot| \, : \,\mathbb{R}\longrightarrow \mathbb{R}\, , \,x\longmapsto |x|## is a norm, but is not differentiable at ##x=0.##

Differentiability is a local property that qualifies and quantifies a function by a linear approximation.

Local means we need a topology. Quantification and approximation require a concept of distance, usually a metric induced by a norm.
 
fresh_42 said:
##|\cdot| \, : \,\mathbb{R}\longrightarrow \mathbb{R}\, , \,x\longmapsto |x|## is a norm, but is not differentiable at ##x=0.##
Why is it not differentiable at ##x=0##?
 
redtree said:
Why is it not differentiable at ##x=0##?
Because the linear approximation from the left is ##-1## and from the right, it is ##+1##, so they cannot be matched locally at ##x=0.##
 
Even for an even function?
 
Also why can't one substitute ##\big( (\vec{u}(t))^2 \big)^{1/2}## for ##|\vec{u}(t)|## in the derivative such that ##\frac{d |\vec{u}(t)|}{dt} = \frac{d }{dt}\left[ \big( (\vec{u}(t))^2 \big)^{1/2}\right]##?
 
  • #10
Do you mean ##\left(\left(\vec{u}(t)\right)^2\right)^{1/2}=+\sqrt{\vec{u}^2(t)}## or ##\left(\left(\vec{u}(t)\right)^2\right)^{1/2}=-\sqrt{\vec{u}^2(t)}##?

Edit: ##\dfrac{d}{dt}f(t)^{1/2}=\dfrac{1}{2}\dfrac{f'(t)}{f(t)^{1/2}}## is not defined at ##f(t)=0##. Same result.
 
  • #11
If ##f(t) = (t^2 + C)##, ##f(0) = C##.
 
  • #12
I basically have problem interpreting the RHS of your equation. What that ##d|t|## means?

Well anyway I think we can use chain rule to write it is $$\frac{d|\vec{u}|}{d|t|}=\frac{d|\vec{u}|}{dt}\frac{dt}{d|t|}$$ where $$\frac{dt}{d|t|}=1, t>0$$ $$\frac{dt}{d|t|}=-1, t<0$$ and it is undefined at t=0.

So to answer your question :
I think it holds iff ##\vec{u}=u(t)\hat u## where ##\hat u## must be a constant vector that does not depend on t. Additionally
if t<0 it must be ##\frac{d|u(t)|}{dt}<0## that is ##|u(t)|## is a decreasing function of t
if t>0 it must be ##\frac{d|u(t)|}{dt}>0## that is ##|u(t)|## is an increasing function of t.

So , in the general case, the equation doesn't hold.
 
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  • #13
redtree said:
Summary:: Is the norm of the derivative of a vector the same as taking the derivative of the norm of the vector with respect to the norm of the parameterization variable?

Is the following true?
##\left| \frac{d\vec{u}}{d t} \right| \overset{?}{=} \frac{d |\vec{u}|}{d |t|}##
just consider a vector ##u=(\cos t,\sin t)##
 
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  • #14
Thank you for your help. I have a much better understanding now.
 
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