Temperature distribution on a sphere

Calculus Level 4

The temperature on a unit sphere, x 2 + y 2 + z 2 = 1 x^2 + y^2 + z^2= 1 , is given by a temperature distribution T ( x , y , z ) = 5 0 C ( x y + y z ) T(x,y,z) = 50^\circ \,\text{C} \cdot (x \cdot y + y \cdot z) What is the temperature difference between the coldest and warmest point on the sphere (in celsius)?


The answer is 70.71.

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2 solutions

Mark Hennings
May 23, 2018

Rotating the coordinate system ( X = 1 2 ( x + z ) , Y = y , Z = 1 2 ( x z ) X = \tfrac{1}{\sqrt{2}}(x+z), Y=y, Z = \tfrac{1}{\sqrt{2}}(x-z) ), this problem is equivalent to that of maximizing/minimizing f ( X , Y , Z ) = 50 2 X Y f(X,Y,Z) = 50\sqrt{2}XY subject to X 2 + Y 2 + Z 2 = 1 X^2 + Y^2 + Z^2 = 1 . Now 2 X Y X 2 + Y 2 X 2 + Y 2 + Z 2 = 1 2|XY| \le X^2 + Y^2 \le X^2 + Y^2 + Z^2 = 1 and hence 25 2 f ( X , Y , Z ) 25 2 -25\sqrt{2} \le f(X,Y,Z) \le 25\sqrt{2} subject to the constraint. The maximum is achieved with X = Y = 1 2 , Z = 0 X = Y = \tfrac{1}{\sqrt{2}},Z=0 , while the minimum is achieved with X = Y = 1 2 , Z = 0 X = -Y = \tfrac{1}{\sqrt{2}}, Z=0 . Thus the required temperature difference is 50 2 \boxed{50\sqrt{2}}^\circ C.

Rotating the coordinate system ( X = 1 2 ( x + z ) , Y = y , Z = 1 2 ( x z ) X = \tfrac{1}{\sqrt{2}}(x+z), Y=y, Z = \tfrac{1}{\sqrt{2}}(x-z) ), ...

How are you immediately able to rotate the Cartesian plane so effortlessly? Is there some linear algebra trick involved?

Pi Han Goh - 3 years ago

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We are, essentially, being asked to extremize ( x + z ) y (x+z)y over a sphere. When extremizing over a sphere, considering rotated coordinates is always worth a shot. The necessary coordinates tend to leap out at you (the vectors ( 1 0 1 ) T (1\;0\;1)^T and ( 0 1 0 ) T (0\;1\;0)^T are orthogonal, so it is easy to scale them to make them part of an orthonormal triad, which is what is needed to rotate coordinates).

Mark Hennings - 3 years ago

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Thanks. I knew I just barely scratched the surface when I learned about rotating the coordinate system in precalculus.

How can I upvote a comment? No seriously, I know it's impossible for you to see this, but I've been printing and collating a lot of what you've written on this site, even when I'm NOT inside the conversation. I couldn't thank you enough.

Pi Han Goh - 3 years ago
Markus Michelmann
May 23, 2018

The task is:

maximize/minimize f ( x , y , z ) f(x,y,z) under the constrain g ( x , y , z ) = 0 g(x,y,z) = 0

where f ( x , y , z ) = x y + y z f(x,y,z) = xy + yz and g ( x , y , z ) = x 2 + y 2 + z 2 1 g(x,y,z) = x^2 + y^2 + z^2 - 1 .

To solve this, we use the method of Lagrange multipliers. Thus, stationary points of the function f ( x , y , z ) f(x,y,z) on the spherical surface satisfy the equation f ( x , y , z ) = λ g ( x , y , z ) \nabla f(x,y,z) = \lambda \cdot \nabla g(x,y,z) with some constant λ R \lambda \in \mathbb{R} (Lagrange multiplier). So we get the equation system ( y x + z y ) = 2 λ ( x y z ) x = z = y 2 λ ( 1 λ 2 λ ) y = 0 \begin{aligned} & & \left( \begin{array}{c} y \\ x + z \\ y \end{array} \right) &= 2 \lambda \left( \begin{array}{c} x \\ y \\ z \end{array} \right) \\ \Rightarrow & & x = z &= \frac{y}{2 \lambda} \\ \Rightarrow & & \left(\frac{1}{\lambda} - 2 \lambda \right) y &= 0 \end{aligned} The last equation can be solved with y = 0 y = 0 or λ = ± 1 / 2 \lambda = \pm 1/\sqrt{2} . The fact that we also choose an additional sign freely, results in a total of 6 different stationary points: ( x y z ) = ( ± 1 / 2 0 ± 1 / 2 ) , ( ± 1 / 2 ± 1 / 2 ± 1 / 2 ) , ( 1 / 2 ± 1 / 2 1 / 2 ) \left( \begin{array}{c} x\\ y\\ z \end{array} \right) = \left( \begin{array}{c} \pm 1/\sqrt{2} \\ 0 \\ \pm 1/\sqrt{2} \end{array} \right), \, \left( \begin{array}{c} \pm 1/2 \\ \pm 1/\sqrt{2} \\ \pm 1/2 \end{array} \right), \left( \begin{array}{c} \mp 1/2 \\ \pm 1/\sqrt{2} \\ \mp 1/2 \end{array} \right) with the functional values f ( x , y , z ) = 0 , 1 2 , 1 2 f(x,y,z) = 0, \frac{1}{\sqrt{2}}, -\frac{1}{\sqrt{2}} corresponding to a saddle point, maximum and a minimum. The temperature difference between the coldest and the warmest point results accordingly T hot T cold = 5 0 C ( 1 2 ( 1 2 ) ) = 2 5 0 C 70.7 1 C T_\text{hot} - T_\text{cold} = 50^\circ\text{C} \cdot \left( \frac{1}{\sqrt{2}} - \left(- \frac{1}{\sqrt{2}} \right) \right) = \sqrt{2} \cdot 50^\circ\text{C} \approx 70.71 ^\circ\text{C}

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