Directional derivative of vector valued functions?

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Homework Help Overview

The discussion revolves around the directional derivative of vector-valued functions, particularly in the context of differentiability and the use of the Frechet derivative. Participants are exploring the differences between scalar and vector fields in terms of calculating directional derivatives.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants are examining the definition and calculation of the directional derivative for vector-valued functions, questioning whether a unit vector is necessary for direction, and discussing the implications of using different types of vectors.

Discussion Status

Some participants have provided insights into the relationship between the Frechet derivative and directional derivatives, while others are seeking clarification on the necessity of unit vectors in vector fields. The conversation reflects a mix of attempts to understand the mathematical framework and specific examples to illustrate points.

Contextual Notes

There is mention of limited resources on vector-valued functions compared to scalar functions, which may influence the depth of understanding and discussion. Additionally, the use of matrix notation in examples suggests a focus on linear algebra concepts within the context of directional derivatives.

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Just to confirm, is the directional derivative of a vector valued function calculated as Lu ? where L is the Frechet derivative , and u is the unit vector in the direction.

There seem to be a lot of sources for a real valued function's directional derivative, but very little on vector valued function in Rm.

it says DuF(directional derivative) = lim (F(x + tu) - F(x)) / t as t->0
if F is diff'ble, then -] L , then just set h = tu, we get the desired result?..
 
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There's a reason why you find "very little on vector valued function in Rm"!

If f is a differentiable function from Rm to Rn, then the derivative of f is a linear function from Rm to Rn which can be represented by a n by m matrix. In particular, the directional derivative of a n dimensional vector valued function on Rm in the direction of vector m dimensional vector v, is an n dimensional vector given by the product of the matrix representing the derivative and the vector v, represented as a column matrix.
 
so that means, if the Fretchet derivative is L, and the directional vector is u, it is just Lu.
 
Sorry for bringing this thread back from the dead, but I would like to clarify a doubt, if possible.

In order to calculate the directional derivative of a scalar field, we must use a unit vector to define the direction.

What happens in the case of a vector field? Does the direction also have to be defined by a unit vector, or we can use any vector?

If anyone could help, I would appreciate.
 
Consider the derivative operator [tex]D_v[/tex]. We require it to be linear in the direction of integration, v. So [tex]D_{2v} = 2 D_v[/tex] and [tex]D_{u+v} = D_u + D_v[/tex]. In fact, this correspondence is taken to be an isomorphism in differential geometry, where tangent vectors are defined to be directional derivative operators.
 
Thanks for your reply, but my doubt remains. :blushing:

I'll use 2 examples:


Scalar field

f(x,y)=x[tex]^{3}[/tex]y[tex]^{2}[/tex]

To find the directional derivative for this function in the point P(-1,2), in the direction of the vector a=4i-3j, we must start by finding a unit vector, u, with the same direction as a.

u=[tex]\frac{1}{\left\right\|a\|}[/tex]a = [tex]\frac{1}{5}[/tex] (4i-3j) = [tex]\frac{4}{5}[/tex]i - [tex]\frac{3}{5}[/tex]j

The result is:

Du f(x,y) = 3x[tex]^{2}[/tex]y[tex]^{2}[/tex] ([tex]\frac{4}{5}[/tex]) + 2x[tex]^{3}[/tex]y ([tex]\frac{-3}{5}[/tex])

For P(-1,2)

Du f(-1,2) = 12


Vector field

f(x,y)= (y logx, x[tex]^{3}[/tex] - 3y)

Suppose we want to find the directional derivative for this function in the point P(1,2), in the direction of the vector v=1i+4j.

My doubt is: do we need to find a unit vector or we simply use v=(1,4).

I solved it like this (but I'm not sure it's right):

Dv f(x,y) = [[y/x, logx][3x[tex]^{2}[/tex], -3]]*[[1][4]]
Dv f(1,2) = [[2][-9]]

Sorry for the matrix notation, but I couldn't get it right with LaTeX.
 
Last edited:

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