Finding the Path of a Particle in a Temperature Gradient

In summary, the equation for the path of the particle starting at P(10,10) and always moving in the direction of maximum temperature increase is:x = 10e^-4ty = 10e^-2t
  • #1
tacopwn
5
0

Homework Statement


Find an equation for the path of a particle that starts at P(10,10) and always moves in the direction of maximum temperature increase if the temperature in the plane is T(x,y) = 400-2x^2 -y^2


Homework Equations


T(x,y) = 400-2x^2 -y^2
dT/dx = -4x
dT/dy = -2y
d^2T/dx^2 = -4
d^2T/dy^2 = -2
maximum is at (0,0)=400


The Attempt at a Solution


I'm not sure how to solve this because the maximum temperature increase (second derivative) is always -4 in the x and -2 in the y.
 
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  • #2
Yes, the maximum temperature is at the coordinates (0,0), however you are looking for the path that takes you from (10,10) to there via the path of greatest temperature. Have you come across the gradient vector?
 
  • #3
tacopwn said:

Homework Statement


Find an equation for the path of a particle that starts at P(10,10) and always moves in the direction of maximum temperature increase if the temperature in the plane is T(x,y) = 400-2x^2 -y^2


Homework Equations


T(x,y) = 400-2x^2 -y^2
dT/dx = -4x
dT/dy = -2y
d^2T/dx^2 = -4
d^2T/dy^2 = -2
maximum is at (0,0)=400


The Attempt at a Solution


I'm not sure how to solve this because the maximum temperature increase (second derivative) is always -4 in the x and -2 in the y.
What is the gradient ?
 
  • #4
CAF123 said:
Yes, the maximum temperature is at the coordinates (0,0), however you are looking for the path that takes you from (10,10) to there via the path of greatest temperature. Have you come across the gradient vector?

The gradient plane at (10,10) is -40x-20y+700=z
 
  • #5
tacopwn said:
The gradient plane at (10,10) is -40x-20y+700=z
What is the gradient vector?
 
  • #6
CAF123 said:
What is the gradient vector?

The gradient vector at (10,10):
dF(x,y)=(-4x,-2x) = (-40, -20)
 
  • #7
Okay, the gradient vector at any point (x, y) is <-4x, -2y> and at (10, 10) the gradient vector is <-40, -20>. But no one asked about the gradient vector at (10, 10)! What is important is that the gradient points in the direction of maximum increase so you want dy/dx to give a curve in the same direction as the gradient. A vector <a, b> has length a in the x-direction and length b in the y direction.

Of course, the derivative, dy/dx, is the slope of the tangent line so that dy/dx= b/a.
 
  • #8
HallsofIvy said:
Okay, the gradient vector at any point (x, y) is <-4x, -2y> and at (10, 10) the gradient vector is <-40, -20>. But no one asked about the gradient vector at (10, 10)! What is important is that the gradient points in the direction of maximum increase so you want dy/dx to give a curve in the same direction as the gradient. A vector <a, b> has length a in the x-direction and length b in the y direction.

Of course, the derivative, dy/dx, is the slope of the tangent line so that dy/dx= b/a.


Oh okay, so once you obtain dy/dx which is 2x/y, how do you make sure it starts at (10,10)?
 
  • #9
tacopwn said:
Oh okay, so once you obtain dy/dx which is 2x/y, how do you make sure it starts at (10,10)?

How do you write the equation of a path in general?
 
  • #10
SammyS said:
How do you write the equation of a path in general?


(x,y)=(10,10) + t(2,1)
 
  • #11
tacopwn said:
(x,y)=(10,10) + t(2,1)

That must be wrong: it heads away from the global maximum at the origin as [itex]t[/itex] increases (and doesn't pass through the origin at all).

You need to solve
[tex]
\dot x = \frac{\partial T}{\partial x} = -4x, \\
\dot y = \frac{\partial T}{\partial y} = -2y
[/tex]
subject to [itex]x(0) = y(0) = 10[/itex].
 

1. What is a partial derivative?

A partial derivative is a mathematical concept used in multivariate calculus to calculate the rate of change of a function with respect to one of its variables while holding all other variables constant.

2. Why are partial derivatives important?

Partial derivatives are important because they allow us to analyze how a function changes in response to changes in its variables. They are also used in many fields of science and engineering, such as physics, economics, and engineering.

3. How do you solve a partial derivative problem?

To solve a partial derivative problem, you need to first identify the function and the variable that you are taking the derivative with respect to. Then, use the rules of partial differentiation to find the derivative, treating all other variables as constants. Finally, evaluate the derivative at a specific point if necessary.

4. What is the difference between a partial derivative and a total derivative?

A partial derivative calculates the rate of change of a function with respect to one of its variables, while holding all other variables constant. A total derivative, on the other hand, calculates the overall rate of change of a function with respect to all of its variables, taking into account how each variable affects the others.

5. How are partial derivatives used in real-life applications?

Partial derivatives are used in many real-life applications, such as in physics to calculate the forces acting on an object, in economics to analyze the relationships between variables, and in engineering to optimize designs and improve efficiency. They are also used in machine learning and data analysis to model and predict complex systems.

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