Multivariable calculus, gradient, directional derivatives

In summary, to find the rate of change of temperature in degrees Celsius per meter and per second at point P(8,6,-4), we can use the formula for directional derivatives and plug in the appropriate values for the gradient of T(x,y,z) and the direction vector v representing the particle's position at time t.
  • #1
miglo
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Homework Statement


the Celsius temperature in a region in space is given by T(x,y,z)=2x^2-xyz. a particle is moving in this region and its position at time t is given by x=2t^2, y=3t, z=-t^2, where time is measured in seconds and distance in meters
a) how fast is the temperature experienced by the particle changing in degrees Celsius per meter when the particle is at P(8,6.-4)?
b) how fast is the temperature experienced by the particle changing in degress celsius per second at P?


Homework Equations


directional derivatives?


The Attempt at a Solution


ill admit i haven't actually attempted anything because I am not sure how to start
this problem comes from a practice exam under the section on tangent planes and differentials but i don't see how that would be helpful
to me it seems like more of a directional derivative problem but I am not really sure
can someone please show me how to start this problem?
 
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  • #2



Hello! Great job identifying the topic of this problem - it is indeed related to directional derivatives. To begin, we can use the formula for directional derivatives:

Df(x,y,z) = ∇f(x,y,z) · v

Where ∇f(x,y,z) is the gradient of the function T(x,y,z) and v is the direction vector represented by the particle's position at time t.

a) To find the rate of change of temperature in degrees Celsius per meter, we need to find the directional derivative in the direction of motion of the particle at point P(8,6,-4). This can be done by finding the gradient of T(x,y,z) and plugging in the values for x=8, y=6, and z=-4. Then, we can plug in the direction vector v = <4t, 3, -2t> at time t=2 seconds (since the particle's position is given by x=2t^2, y=3t, z=-t^2). The resulting directional derivative will give us the rate of change of temperature in degrees Celsius per meter at point P.

b) To find the rate of change of temperature in degrees Celsius per second, we need to find the directional derivative in the direction of time at point P. This can be done by finding the gradient of T(x,y,z) and plugging in the values for x=8, y=6, and z=-4. Then, we can plug in the direction vector v = <4, 3, -2> (since time is measured in seconds, we can use the constant values for x, y, and z). The resulting directional derivative will give us the rate of change of temperature in degrees Celsius per second at point P.

I hope this helps you get started on the problem! Let me know if you have any further questions. Good luck!
 

Related to Multivariable calculus, gradient, directional derivatives

1. What is multivariable calculus?

Multivariable calculus is a branch of mathematics that deals with functions of multiple variables. It involves the study of rates of change, optimization, and integration in multiple dimensions.

2. What is the gradient of a multivariable function?

The gradient of a multivariable function is a vector that points in the direction of greatest increase of the function at a given point. It is calculated by taking the partial derivatives of the function with respect to each variable and combining them into a vector.

3. How is the gradient used in multivariable calculus?

The gradient is used to find the direction and rate of change of a function in multiple dimensions. It is also used to find the maximum and minimum values of a function, which is important in optimization problems.

4. What is a directional derivative?

A directional derivative is a measure of how a function changes in a particular direction at a given point. It is calculated by taking the dot product of the gradient of the function and a unit vector in the desired direction.

5. How is the directional derivative used in real-world applications?

The directional derivative is used in many fields, including physics, engineering, and economics, to understand how a system will change in a specific direction. For example, it can be used to calculate the rate of change of temperature in a certain direction in a heat transfer problem.

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