How to model a function of a box's volume using Lagrange multiplier methods

In summary, the details of the box being on the coordinate planes and having one vertex on the plane are important for understanding the volume of the box. The location of the box in the octant of the paraboloid is also important as it determines the maximum possible volume of the box. The constant multiplier is used to account for the shape of the paraboloid and ensure that the maximum possible volume of the box is not exceeded.
  • #1
agnimusayoti
240
23
Homework Statement
1. Box has 3 of its faces in the coordinate planes. One vertex on the plane ##ax + by +cz = d##
2. Box with faces parallel to the coordinate axes that can be inscribed in: ##\frac {x^2}{a^2}+\frac {y^2}{b^2}+\frac {z^2}{c^2=1}##.
3. A rectangular box has three of its faces on the coordinate planes and one vertex in the first octant of the paraboloid ##z = 4 − x^2 −y^2##
4. What if now if the vertex of rectangular box in the n^th octant of the same paraboloid?
Relevant Equations
Originally this is max-min problem with constraints that can be solved with Lagrange multiplier. Let ##f(x,y,z)## will be maximized by the constraints ##C(x,yz)## than:
$$dF = df +\lambda dC$$
I started to understand how to apply Lagrange multiplier methods. But, for problem like this, I have difficulty to build the function to describe the volume that will be maximized. For the second question, I know from the example (in ML Boas) that ##V=8xyz## becase (x,y,z) is in the 1st octant. But, for the first question, the function now is ##V=xyz##.

1. Is there the detail of "has 3 of its faces in the coordinate planes" describe something?
2. What about the detail of "one vertex on the plane"?
3. What is the importance of the detail "one vertex in the first octant of paraboloid" to describe the volume? If the nth octant is changed, is there any difference with the volume?
I'm not sure where the constant multiplier came from. After know this function, I can solve the problem by Lagrange method.

Thanks, every one!
 
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  • #2
1. Yes, the details of "has 3 of its faces in the coordinate planes" means that the box is sitting on one of the coordinate planes (the xy, yz, or xz plane). This means that one of the dimensions (length, width, or height) of the box will always be zero, since it's sitting on a plane.2. The detail of "one vertex on the plane" means that the box has one corner that is actually sitting on the plane. This means that one of the dimensions is equal to zero, so the volume of the box is equal to the product of the other two dimensions.3. The detail of "one vertex in the first octant of paraboloid" is important because the paraboloid has a curved surface and the box must fit within that curved surface. The location of the box in the octant of the paraboloid determines the maximum possible volume of the box. If the box is located in a different octant, then the maximum possible volume may be different. The constant multiplier comes from the fact that the box must fit within the curved surface of the paraboloid. Because the paraboloid is curved, the maximum possible volume of the box is limited by the shape of the paraboloid. Hence, the constant multiplier is used to account for the shape of the paraboloid and ensure that the maximum possible volume of the box is not exceeded.
 

1. What is the purpose of using Lagrange multiplier methods to model a function of a box's volume?

Lagrange multiplier methods are used to optimize a function subject to one or more constraints. In the case of modeling a box's volume, this method can help find the maximum or minimum volume of the box while satisfying certain constraints, such as the total surface area or material cost.

2. How do you set up the Lagrange multiplier equation for modeling a box's volume?

The Lagrange multiplier equation is set up by first defining the objective function, which in this case is the volume of the box. Then, the constraints are written as equations and multiplied by a Lagrange multiplier. These equations are then set equal to the partial derivatives of the objective function. Solving this system of equations will give the optimal values for the dimensions of the box.

3. Can Lagrange multiplier methods be used for modeling other shapes besides a box?

Yes, Lagrange multiplier methods can be used for modeling any shape or object, as long as there are constraints involved. The method is not limited to just boxes and can be applied to problems in various fields such as economics, physics, and engineering.

4. What are the advantages of using Lagrange multiplier methods for modeling a box's volume?

Lagrange multiplier methods provide a systematic approach to solving optimization problems with constraints. They also take into account all the constraints simultaneously, rather than solving each constraint separately. This can result in more accurate and efficient solutions.

5. Are there any limitations to using Lagrange multiplier methods for modeling a box's volume?

One limitation of using Lagrange multiplier methods is that they can only be applied to continuous functions. Additionally, the method may not always give the global maximum or minimum, but rather a local one. It is important to check the solutions obtained using this method to ensure they are the optimal values.

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