What Is the Directional Derivative of a Function at a Point?

  • Thread starter lonewolf219
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So the answer to your question is that the solution -8 is the rate of change of temperature at (1,-1) in the direction of ##\pi##.
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lonewolf219
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Homework Statement



f(x.y)=4x^2-y^2

Homework Equations



Ʃ partial derivative components(?)

The Attempt at a Solution



The solution when θ=pi and f(1,-1) is -8.

Does this mean that one of the coordinates of this function is (1,-1,-8)?
What exactly is the directional derivative, and what does the solution represent?
 
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  • #2
lonewolf219 said:

Homework Statement



f(x.y)=4x^2-y^2

Homework Equations



Ʃ partial derivative components(?)

The Attempt at a Solution



The solution when θ=pi and f(1,-1) is -8.

Does this mean that one of the coordinates of this function is (1,-1,-8)?
What exactly is the directional derivative, and what does the solution represent?

You haven't stated the problem for which you are giving the solution. I'm guessing it was "Find the directional derivative of f(x,y) at the point (1,-1) in the direction of ##\theta=\pi##. To help you visualize what you are calculating, think of a flat metal plate and suppose ##f(x,y)=4x^2-y^2## as the temperature at each point in the plate. If you were at (1,-1) the temperature there would be f(1,-1) = 3. Depending on what direction you move from that point, it may get warmer or colder. The directional derivative in some direction at that point is the rate of change of temperature in that direction. So according to your calculations above, if you move in the ##\pi## direction from there it is cooling off at 8 degrees / unit length.
 

FAQ: What Is the Directional Derivative of a Function at a Point?

What is a directional derivative?

A directional derivative is a measure of the rate of change of a function along a specific direction. It tells us how the function changes as we move in that direction.

How is a directional derivative calculated?

The directional derivative at a point is calculated by taking the dot product of the gradient of the function at that point and the unit vector representing the direction we want to measure the derivative in.

What is the significance of directional derivatives?

Directional derivatives are important in optimization and modeling, as they can help us determine the direction in which a function is increasing or decreasing the fastest. They also play a key role in vector calculus and multivariable calculus.

Can a directional derivative be negative?

Yes, a directional derivative can be negative. This indicates that the function is decreasing along that direction at that point.

How are directional derivatives used in real-world applications?

Directional derivatives are used in various fields such as physics, engineering, and economics to study the behavior of functions and make predictions about their behavior in specific directions. For example, in physics, directional derivatives can be used to analyze the velocity and acceleration of objects moving in a specific direction.

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