Directional Derivatives Help

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In summary: Opalg told you that: u is a unit vector making an angle θ with the x-axis. The problem asked for the direction and giving that angle is a good way to designate the x- direction. The only difficulty with your method is that there are an infinite number of vectors pointing in a given direction, all with different lengths. When you took such a vector to be <a, b> you arrived at the equation 5a+ 6b= 2, a single equation in two variables. Given different values for a, b, satisfying that equation you get different vectors, of different lengths, all pointing in the same direction. If you want a single vector as answer, you have to impose some other
  • #1
Joe20
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Find the directions in which the directional derivative of f(x,y) = x^2+ xy^3 at the point (2,1) has the value of 2.

What I have done so far which I am not sure how to continue:

partial derivative of fx = 2x + y^3 and fy = 3xy^2

gradient vector, <fx,fy> at (2,1) = <5,6>

Let u = <a,b>

Directional derivative at (2,1) = gradient vector at (2,1) . u => <5,6> . <a, b> = 5a+6b = 2

Hope someone can advise. Thanks.
 
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  • #2
Alexis87 said:
Find the directions in which the directional derivative of f(x,y) = x^2+ xy^3 at the point (2,1) has the value of 2.

What I have done so far which I am not sure how to continue:

partial derivative of fx = 2x + y^3 and fy = 3xy^2

gradient vector, <fx,fy> at (2,1) = <5,6>

Let u = <a,b>

Directional derivative at (2,1) = gradient vector at (2,1) . u => <5,6> . <a, b> = 5a+6b = 2

Hope someone can advise. Thanks.
Instead of taking $\mathbf{u} = \langle a,b\rangle$, it might be better to take $\mathbf{u} = \langle \cos\theta,\sin\theta\rangle$, so that $\mathbf{u}$ is a unit vector making an angle $\theta$ with the $x$-axis. The equation then becomes $5\cos\theta + 6\sin\theta = 2.$ Do you know how to solve that sort of trigonometric equation?
 
  • #3
Opalg said:
Instead of taking $\mathbf{u} = \langle a,b\rangle$, it might be better to take $\mathbf{u} = \langle \cos\theta,\sin\theta\rangle$, so that $\mathbf{u}$ is a unit vector making an angle $\theta$ with the $x$-axis. The equation then becomes $5\cos\theta + 6\sin\theta = 2.$ Do you know how to solve that sort of trigonometric equation?
May I ask why are we using cosine teta and sine teta? Yes , using R-formulae to solve for the teta.
 
  • #4
Alexis87 said:
May I ask why are we using cosine teta and sine teta? Yes , using R-formulae to solve for the teta.
Opalg told you that: u is a unit vector making an angle θ with the x-axis. The problem asked for the direction and giving that angle is a good way to designate the x- direction.

The only difficulty with your method is that there are an infinite number of vectors pointing in a given direction, all with different lengths. When you took such a vector to be <a, b> you arrived at the equation 5a+ 6b= 2, a single equation in two variables. Given different values for a, b, satisfying that equation you get different vectors, of different lengths, all pointing in the same direction. If you want a single vector as answer, you have to impose some other condition. If you require that the vector be of unit length, that a^2+ b^2= 1, then you will have two equations in a and b and will get opalg's answer. But you could also simply require that a, the x-component of the vector be equal to -2 and have the equation 5(-2)+ 6b= -10+ 6b= 2 and have 6b= 10= 2= 12 so b= 2. The vector <-2, 2> is a vector in the correct direction.
 

1. What is a directional derivative?

A directional derivative is a measure of the rate of change of a function in a specific direction. It represents how much a function changes when moving in a particular direction from a given point.

2. How is a directional derivative calculated?

The directional derivative is calculated by taking the dot product of the gradient of the function and the unit vector in the direction of interest. The formula for calculating a directional derivative is Duf(a, b) = ∇f(a, b) · u, where ∇f(a, b) is the gradient of the function f at the point (a, b) and u is the unit vector in the direction of interest.

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

Directional derivatives are essential in fields such as physics, engineering, and economics, where understanding the rate of change of a function in a particular direction is crucial. For example, in physics, directional derivatives are used to calculate the rate of change of temperature in a particular direction, while in economics, they are used to determine the rate of change of production with respect to different inputs.

4. How do directional derivatives relate to partial derivatives?

Directional derivatives and partial derivatives are closely related. A directional derivative is a special case of a partial derivative, where the direction of interest is restricted to a specific direction. In other words, a directional derivative is the rate of change of a function in a specific direction, while a partial derivative is the rate of change of a function with respect to one of its variables.

5. How do I interpret the value of a directional derivative?

The value of a directional derivative represents the slope of a tangent line to the function in the direction of interest at a given point. A positive value indicates that the function is increasing in that direction, while a negative value indicates that the function is decreasing in that direction. A value of zero means that the function is constant in that direction at the given point.

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