Multivariable calculus: find the rate of change

In summary, the problem is that the two equations for the temperature at a point do not match. The equation for the temperature in the direction of the positive x-axis at the point (π, π) is not equal to the equation for the temperature in the direction of the positive y-axis at the point (π, π).
  • #1
reminiscent
131
2
Missing homework template due to originally being posted in other forum.
The problem is:
The temperature (in degrees Celsius) of a metal plate, located in the xy -plane, at any point (x, y ) is given by the function of two variables T(x, y ) = x sin y + y2 sin x.
(a) Find the rate of change in temperature in the direction of the positive x-axis at the point (π, π).
(b) Find the rate of change in temperature in the direction of the positive y -axis at the point (π, π).

I am thinking that you would have to find the gradient vector of T(x,y), then plug the point (π, π). But the phrase "direction of the positive x-axis/y-axis at the point" is throwing me off. Does that mean you would have to find the directional derivative instead? So find the gradient vector then multiply it by a unit vector, but what is the unit vector?

Thanks.
 
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  • #2

Homework Statement


The temperature (in degrees Celsius) of a metal plate, located in the xy -plane, at any point (x, y ) is given by the function of two variables T(x, y ) = xsiny + y2sin x.
(a) Find the rate of change in temperature in the direction of the positive x-axis at the point (π, π).
(b) Find the rate of change in temperature in the direction of the positive y -axis at the point (π, π).

Homework Equations


∇T = <tx, ty>

The Attempt at a Solution


I am thinking that you would have to find the gradient vector of T(x,y), then plug the point (π, π). But the phrase "direction of the positive x-axis/y-axis at the point" is throwing me off. Does that mean you would have to find the directional derivative instead? So find the gradient vector then multiply it by a unit vector, but what is the unit vector?

Thanks.
 
  • #3
The gradient of the scalar T(x,y) is given by
∇T = <tx, ty> = <(∂T/∂x), (∂T/∂y)>
Here (∂T/∂x) represents the directional derivative of T w.r.t x
and (∂T/∂y) represents the directional derivative of T w.r.t y
The Directional derivative means rate of change of a quantity in a particular direction, so you can find gradient of T and need not to multiply by any unit vector, because it won't represent the true rate of change then(as its magnitude will be 1 then)
Hope this helps
 
  • #4
Yes, you're right, you need to find the directional derivative. You want the change in the x-direction, so what would be the unit vector in this direction?
 
  • #5
Aniruddha@94 said:
Yes, you're right, you need to find the directional derivative. You want the change in the x-direction, so what would be the unit vector in this direction?
Would it be <1,0>? Do I even need a unit vector for this?
 
  • #6
Aakash Gupta said:
The gradient of the scalar T(x,y) is given by
∇T = <tx, ty> = <(∂T/∂x), (∂T/∂y)>
Here (∂T/∂x) represents the directional derivative of T w.r.t x
and (∂T/∂y) represents the directional derivative of T w.r.t y
The Directional derivative means rate of change of a quantity in a particular direction, so you can find gradient of T and need not to multiply by any unit vector, because it won't represent the true rate of change then(as its magnitude will be 1 then)
Hope this helps
So a) and b) are pretty much asking for the directional derivative of T w.r.t the variable, so a) is w.r.t x and b) is w.r.t y? It's that simple?
 
  • #7
reminiscent said:
Would it be <1,0>? Do I even need a unit vector for this?
Yes that's the unit vector you want. Here you don't actually NEED a unit vector, since the required direction being along the x-axis you can simply take the x component of the gradient. ( but can you see that you are taking the dot product of the unit vector and the gradient vector?)
 
  • #8
reminiscent said:
So a) and b) are pretty much asking for the directional derivative of T w.r.t the variable, so a) is w.r.t x and b) is w.r.t y? It's that simple?
yes!
 
  • #9
Thanks guys! :D
 

Related to Multivariable calculus: find the rate of change

1. What is multivariable calculus and why is it important?

Multivariable calculus is a branch of mathematics that deals with functions of multiple variables. It is important because it allows us to analyze and understand complex systems and phenomena in the real world that involve multiple variables.

2. How is the rate of change calculated in multivariable calculus?

In multivariable calculus, the rate of change is calculated using partial derivatives. This involves taking derivatives with respect to each variable while holding the other variables constant.

3. Can you provide an example of finding the rate of change in multivariable calculus?

Yes, for example, if we have a function f(x, y) = x^2 + 2y, the rate of change with respect to x would be fx(x, y) = 2x, and the rate of change with respect to y would be fy(x, y) = 2.

4. How is multivariable calculus used in real-world applications?

Multivariable calculus is used in various fields such as physics, engineering, economics, and statistics. It is used to analyze and optimize complex systems and make predictions about their behavior.

5. Are there any resources available to help understand multivariable calculus and finding the rate of change?

Yes, there are many resources available such as textbooks, online courses, and video tutorials that can help with understanding multivariable calculus and finding the rate of change. It is also helpful to practice solving problems and seeking help from a tutor or professor if needed.

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