Maximizing Volume: Rectangular Box Inscribed in an Ellipsoid

In summary, the largest rectangular box that can be inscribed inside the given ellipsoid has a volume of x * y * z, where x is determined by y and z and the vertices of the box lie on the ellipsoid. To find the maximum volume, we can use the critical point formula and consider the maximum of a function of one and two variables, respectively.
  • #1
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Homework Statement


Find the volume of the largest rectangular box with faces parallel to the coordinate planes that can be inscribed inside the ellipsoid :

(x^2/a^2)+(y^2/b^2)+(z^2/c^2) = 1


Homework Equations



Volume of a rectangular box = x * y * z
critical point formula.

The Attempt at a Solution



The volume of a box is maximised when x = y = z ?
 
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  • #2
Not quite. Try rewriting x in terms of y and z and plugging this into your volume formula. This must hold since x is determined by y and z (i.e. the vertices of the rectangular box will lie on the ellipsoid.)

Now, how do you find the maximum of a function of one variable? How do you find the maximum of a function of two variables?
 

Related to Maximizing Volume: Rectangular Box Inscribed in an Ellipsoid

1. What is a maximum value problem?

A maximum value problem is a type of mathematical optimization problem where the goal is to find the maximum value of a function or variable within a given set of constraints.

2. How is a maximum value problem solved?

A maximum value problem is typically solved using techniques such as calculus, linear programming, or other numerical methods. These methods involve finding critical points and evaluating the function to determine the maximum value.

3. What types of real-world applications use maximum value problems?

Maximum value problems are commonly used in fields such as economics, engineering, and physics to optimize various processes and systems. Examples include finding the maximum profit for a company or determining the maximum load a bridge can withstand.

4. Can a maximum value problem have multiple solutions?

Yes, a maximum value problem can have multiple solutions. In some cases, the maximum value may occur at more than one point, or there may be multiple local maximum values within the given constraints.

5. How does a maximum value problem differ from a minimum value problem?

A maximum value problem aims to find the highest possible value of a function, while a minimum value problem aims to find the lowest possible value. The techniques used to solve these types of problems may differ, but they both involve optimizing a given function within a set of constraints.

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