Finding the Directional Derivative of a Multivariable Function

In summary, the directional derivative at (1,1) is the dot product of the gradient with the direction, which can be <u,v> or <u-1,v-1> depending on the given information. To find the directional derivative in a specific direction, first normalize the direction vector.
  • #1
Punkyc7
420
0
find the directional derivative of z=2x^2-y^3 at (1,1)

is it just <4,-3>
 
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  • #2
That's the gradient. It's not a directional derivative. You can use the gradient to find directional derivatives, but it's not one by itself.
 
  • #3
so then how would you go about finding it because where not comparing it with another point... is it just 1
 
  • #4
Punkyc7 said:
so then how would you go about finding it because where not comparing it with another point... is it just 1

The directional derivative at (1,1) is the derivative of f(x,y) in some direction. You need to specify the direction to find the directional derivative. Suppose I told you the direction is <u,v>. What's the directional derivative in that direction?
 
  • #5
u-1, v-1 and you would dot that with our gradient
 
  • #6
we would have to make those unit vector though
 
  • #7
Punkyc7 said:
u-1, v-1 and you would dot that with our gradient

Ok, if (u,v) is a point and you want the directional derivative in the direction which is the difference between (1,1) and (u,v), then sure, it's <u-1,v-1>.<4,-3>. If you are just given the direction <u,v>, I'd say it's <u,v>.<4,-3>. Since they didn't give you a direction I'm not sure what they are asking.
 
  • #8
Punkyc7 said:
we would have to make those unit vector though

If that's your definition of directional derivative, then absolutely, normalize them. The point is that all you can say is that it is the dot product of the gradient with the direction.
 

What is a directional derivative?

A directional derivative is a mathematical tool used in multivariable calculus to determine the rate of change of a function in a specific direction. It measures how a function changes over a specific direction or vector.

How is a directional derivative calculated?

The directional derivative is calculated by taking the dot product of the gradient of the function and a unit vector in the desired direction. This results in a single scalar value representing the rate of change of the function in that direction.

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

Directional derivatives are useful in various fields such as physics, engineering, and economics. They can help in determining the direction in which a system is moving or changing, and can aid in optimizing processes or predicting future outcomes.

Can a directional derivative be negative?

Yes, a directional derivative can be negative. A negative directional derivative indicates that the function is decreasing in the given direction, while a positive directional derivative indicates an increase in the function in that direction.

How does the direction of the vector affect the directional derivative?

The direction of the vector affects the directional derivative as it determines the direction in which the function is being evaluated. Changing the direction of the vector will result in a different directional derivative, as it represents the rate of change in a specific direction.

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