Min and Max temperature of path in 3D field

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SUMMARY

The discussion focuses on finding the minimum and maximum temperatures along a specified path in a 3D field defined by the temperature function T(x,y,z)=3x + 4y + 2z. The path is parameterized by r(t) with t ranging from 0 to 10. The correct approach involves differentiating the temperature function with respect to time using the chain rule, setting the derivative equal to zero to find critical points, and evaluating the temperature at the endpoints t=0 and t=10. Ultimately, the maximum and minimum temperatures are found to occur at these endpoints, confirming that the differentiation did not yield additional critical points within the interval.

PREREQUISITES
  • Understanding of multivariable calculus, specifically the chain rule.
  • Familiarity with parameterized curves in 3D space.
  • Knowledge of how to compute partial derivatives.
  • Ability to evaluate limits and endpoints in calculus.
NEXT STEPS
  • Study the application of the chain rule in multivariable calculus.
  • Learn how to find critical points of functions using derivatives.
  • Explore the evaluation of functions at endpoints of intervals.
  • Investigate optimization techniques in calculus, particularly in 3D fields.
USEFUL FOR

Students and educators in calculus, particularly those focusing on optimization problems in multivariable functions, as well as anyone interested in applying calculus to real-world temperature modeling in three-dimensional spaces.

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Homework Statement


Temperature varies by function T(x,y,z)=3x + 4y + 2z

Path is given by r(t)={
x(t)=\frac{t^3}{30}+\frac{16t}{9}+7
y(t)=-\frac{t^3}{120}-\frac{13t^2}{30}+28
z(t)=\frac{13t^2}{60}+\frac{4t}{3}-14

t\in \left[0,10\right]

Question: What is the maximum and minumun temperatures of that path?

Homework Equations



There's a tip in the assignment to use the chain rule.

The Attempt at a Solution


[/B]
\frac{dT}{dt}=\frac{\partial T}{\partial x}\cdot \frac{\partial x}{\partial t}+\frac{\partial T\:}{\partial \:y}\cdot \:\frac{\partial \:y}{\partial \:t}+\frac{\partial T\:}{\partial \:z}\cdot \:\frac{\partial z}{\partial t}

\frac{dT}{dt}=3\left(\frac{t^2}{10}+\frac{16}{9}\right)+4\left(-\frac{t\left(3t+104\right)}{120}\right)+2\left(\frac{13t}{30}+\frac{4}{3}\right)

\frac{dT}{dt}=\frac{1}{5}\left(t^2-13t+40\right)

Then I thought to separate the variables and integrate it to get T, but I end but with constant C.
If I ignore the constant, I end up with wrong answer(min -9/20, max 8)
I cannot think how to continue. I don't know the correct answer either.

Do you think the idea is correct to this point?
Maybe it's something obvious, I might be just baffled with all these derivation steps.

Thank you for reading!
 
Last edited:
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I don't understand why you would first differentiate and then "integrate it to get T". You were given T! You seem to have lost track of what you were trying to do.

The reason you differentiated, I hope, was to set the derivative equal to 0 to find the value of t that gives a max or min. Then put whatever value of t you get back into the original equations for x, y, and z.
 
Hey, thank you for fast response!

That's exactly what I should do, but for some reason there was so much variables that I didn't realize the obvious course of action.
To my surprise, the correct answer happened to be at the limits of t=0 and t=10 for both, so the resoults from the differentation didn't have any affect.

Thank you for clear explanation!
 
Last edited:

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