I Velocity Vector Fields: Differentiating a Vector Function to Scalar

dyn
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Hi. Given a one-parameter family of maps such as
Φt : ( x , y ) → ( xet + 2et -2 , ye2t ) the velocity vector field at t=0 is given by d(Φt)/dt = (x+2) ∂/∂x + 2y ∂/∂y
My question is ; how does differentiating a vector function Φt with respect to t result in a scalar function ? Thanks
 
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dyn said:
My question is ; how does differentiating a vector function Φt with respect to t result in a scalar function ?
It doesn't.
 
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How do you go from ##\frac{d}{dt}[(xe^t + 2e^t - 2)\hat{x} + (ye^{2t})\hat{y}]## to what you have?
 
BiGyElLoWhAt said:
How do you go from ##\frac{d}{dt}[(xe^t + 2e^t - 2)\hat{x} + (ye^{2t})\hat{y}]## to what you have?
The derivative is evaluated at ##t = 0##. The tangent vector basis is ##\partial_x## and ##\partial_y##.
 
Ahh. The basis was what I was missing. I suppose that makes sense, maybe. I would think that we would be looking at ##\frac{\partial \hat{x}}{\partial t}|_{t=0}## and ##\frac{\partial \hat{y}}{\partial t}|_{t=0}##, however.
Not trying to hijack the thread.
**I think I see the error of my ways, now.**
 
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Orodruin said:
It doesn't.
The function Φ t takes 2 coordinates ( x , y ) into 2 different coordinates. I would think this makes them vectors while the velocity vector field doesn't look like a vector.
 
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dyn said:
The function Φ t takes 2 coordinates ( x , y ) into 2 different coordinates. I would think this makes them vectors while the velocity vector field doesn't look like a vector.
Yes it does. Remember that the tangent vector basis is ##\partial_\mu##.
 
So the original function is a vector with 2 components ? And the velocity vector field is a vector with one component ?
 
dyn said:
So the original function is a vector with 2 components ? And the velocity vector field is a vector with one component ?
No, both have two components. It is just a different way of writing it as a linear combination of the basis instead of a collection of components.
 
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