Finding the Gradient Vector for a Given Point on a Surface

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In summary, to find the direction in which the directional derivative Duf is equal to zero, you can express the unit vector as a function of the angle with the coordinate axis and equate it to zero. To find the gradient vector, you can use the equation ∇f(x0, y0, z0) \bullet r = 0 and solve for the components of r.
  • #1
reddawg
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Say you are given the equation of a surface f(x,y) and a point (x,y,z) on the surface.

How would one find the gradient vector in which the directional derivative Duf is equal to zero.
 
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  • #2
Given the equation z = f(x,y) and the point (x0,y0,z0) you want to find the direction along which the directional derivative is zero.
The directional derivative as a function of direction (the latter given by a unity vector n, with components n_x and n_y) can be written as
$$\frac{\partial f}{\partial n} = \frac{\partial f}{\partial x} n_x + \frac{\partial f}{\partial y} n_y$$
You can express n as a function of the angle with the coordinate axis, at which point you can equate the expression above to zero, and try to solve it for the angle of n.
 
  • #3
That's exactly correct. The directional derivative of some function f(x,y,z) at a point x0, y0, z0 in the r direction is just the gradient of f at that point dotted with the unit vector in the r direction. Ie, df/dr = ∇f(x0, y0, z0) [itex]\bullet[/itex] r. You'll want to solve for where df/dr = 0, which might be a little tricky since r has three components. Good luck!
 
  • #4
reddawg said:
Say you are given the equation of a surface f(x,y) and a point (x,y,z) on the surface.

How would one find the gradient vector in which the directional derivative Duf is equal to zero.

The gradient vector and the direction in which ##D_u(f)=0## are two different things. Which do you want? You have ##\nabla f =\langle f_x, f_y\rangle## and a unit vector ##\hat u =
\langle a,b\rangle##. Choose ##\vec u## such that ##\nabla f \cdot \hat u## is zero.
 

Related to Finding the Gradient Vector for a Given Point on a Surface

What is a directional derivative?

A directional derivative is a measure of how a function changes along a specific direction or vector in a multi-dimensional space. It is used to calculate the rate of change of a function at a specific point in a specific direction.

How is a directional derivative calculated?

A directional derivative can be calculated using the gradient of the function and the direction vector. It is defined as the dot product of the gradient vector and the unit vector in the direction of interest.

What is the relationship between directional derivatives and partial derivatives?

Directional derivatives and partial derivatives are closely related. A partial derivative is a directional derivative in the direction of one of the coordinate axes, while a directional derivative can be calculated in any direction in the multi-dimensional space.

What is the significance of directional derivatives in real-world applications?

Directional derivatives are important in many scientific and engineering fields, especially in physics and engineering. They are used to calculate the rate of change of physical quantities, such as velocity or temperature, in a specific direction.

What are some common methods for calculating directional derivatives?

Some common methods for calculating directional derivatives include using the gradient vector, using directional derivatives as directional derivatives, and using the chain rule. Other methods, such as tangent planes, can also be used in certain cases.

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