A space probe is in the shape of the ellipsoid 4x^2 + y^2 + 4z^2 = 16 enters Earth's atmosphere and its surface begins to heat. After one hour, the temperature at the point on the... A space probe is in the shape of the ellipsoid 4x^2 + y^2 + 4z^2 = 16 enters Earth's atmosphere and its surface begins to heat. After one hour, the temperature at the point on the probe's surface is T(x, y, z) = 8x^2 + 4yz - 16z + 600. Find the hottest point of the probe's surface.

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Understand the Problem

The question involves a space probe in the shape of an ellipsoid that enters Earth's atmosphere and heats up, and it's asking to find the hottest point on the probe's surface using a temperature function.

Answer

The hottest point on the probe's surface is \( \left( \frac{4}{3}, -\frac{4}{3}, \frac{4}{3} \right) \) with temperature \( 584 \).
Answer for screen readers

The hottest point on the probe's surface is ( \left( \frac{4}{3}, -\frac{4}{3}, \frac{4}{3} \right) ) with a temperature of ( T\left(\frac{4}{3}, -\frac{4}{3}, \frac{4}{3}\right) = 8\left(\frac{4}{3}\right)^2 + 4\left(-\frac{4}{3}\right)\left(\frac{4}{3}\right) - 16\left(\frac{4}{3}\right) + 600 ).

After calculating, the temperature is found to be ( 584 ).

Steps to Solve

  1. Identify the temperature function

The temperature function is given by ( T(x, y, z) = 8x^2 + 4yz - 16z + 600 ).

  1. Understand the ellipsoid equation

The equation of the ellipsoid is ( 4x^2 + y^2 + 4z^2 = 16 ).

To rewrite this in a standard form, we can divide the entire equation by 16: $$ \frac{x^2}{4} + \frac{y^2}{16} + \frac{z^2}{4} = 1. $$

  1. Use the method of Lagrange multipliers

Since we're trying to find the maximum temperature on the surface defined by the ellipsoid, we set up the Lagrangement multiplier equation:

  • Minimize ( f(x, y, z) = -T(x, y, z) )
  • Subject to the constraint ( g(x, y, z) = 4x^2 + y^2 + 4z^2 - 16 = 0 )
  1. Set the gradients equal

Compute the gradients: $$ \nabla f = (-16x, 4z, 4y - 16) $$ $$ \nabla g = (8x, 2y, 8z) $$ Set them equal to each other, introducing the Lagrange multiplier ( \lambda ): $$ (-16x, 4z, 4y - 16) = \lambda (8x, 2y, 8z) $$

  1. Formulate the system of equations

This gives us a system of equations: $$ -16x = 8\lambda x \tag{1} $$ $$ 4z = 2\lambda y \tag{2} $$ $$ 4y - 16 = 8\lambda z \tag{3} $$ Along with the constraint ( g(x, y, z) = 0 ).

  1. Solve the system

From equation (1): If ( x \neq 0 ), then ( -16 = 8\lambda \Rightarrow \lambda = -2 ).

Using ( \lambda = -2 ) in equations (2) and (3): Substituting into equation (2): $$ 4z = -4y \Rightarrow z = -y \tag{4} $$

Substituting equation (4) into equation (3): $$ 4y - 16 = -16z \Rightarrow 4y - 16 = -16(-y) \Rightarrow 4y - 16 = 16y $$ Thus, $$ -12y = 16 \Rightarrow y = -\frac{4}{3} \tag{5} $$

  1. Find ( x, z )

Using ( y = -\frac{4}{3} ) in equation (4): $$ z = \frac{4}{3} $$ Substituting ( y ) and ( z ) back to the ellipsoid equation to find ( x ): $$ 4x^2 + \left(-\frac{4}{3}\right)^2 + 4\left(\frac{4}{3}\right)^2 = 16 $$ $$ 4x^2 + \frac{16}{9} + \frac{64}{9} = 16 $$ $$ 4x^2 = 16 - \frac{80}{9} $$ $$ 4x^2 = \frac{144 - 80}{9} = \frac{64}{9} \Rightarrow x^2 = \frac{16}{9} \Rightarrow x = \pm \frac{4}{3} $$

  1. Calculate the temperature at these points

Now we have the candidates:

  • ( \left( \frac{4}{3}, -\frac{4}{3}, \frac{4}{3} \right) )
  • ( \left( -\frac{4}{3}, -\frac{4}{3}, \frac{4}{3} \right) )

Substituting these into the temperature function to find the hottest point.

The hottest point on the probe's surface is ( \left( \frac{4}{3}, -\frac{4}{3}, \frac{4}{3} \right) ) with a temperature of ( T\left(\frac{4}{3}, -\frac{4}{3}, \frac{4}{3}\right) = 8\left(\frac{4}{3}\right)^2 + 4\left(-\frac{4}{3}\right)\left(\frac{4}{3}\right) - 16\left(\frac{4}{3}\right) + 600 ).

After calculating, the temperature is found to be ( 584 ).

More Information

This problem involves multivariable calculus and optimization methods, specifically using Lagrange multipliers to find maximum values subject to constraints.

Tips

  • Misapplying Lagrange multipliers: Ensure all gradients are correctly derived and equations properly set up.
  • Forgetting the constraint: Always incorporate the surface constraint when maximizing or minimizing.
  • Sign errors in calculations: Double-check signs and values when substituting in equations.

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