What is the maximum perimeter for a rectangle inside an ellipse?

AI Thread Summary
To find the maximum perimeter of a rectangle inscribed in the ellipse defined by x² + 4y² = 1, the perimeter is expressed as P = 2x + 2y. The problem involves using Lagrange multipliers to optimize this perimeter under the constraint of the ellipse equation. The user attempts to derive the necessary equations by calculating partial derivatives but encounters confusion regarding the calculations. A suggestion is made to parameterize one corner of the rectangle to simplify the optimization process. The discussion highlights the need for careful differentiation and consistency in solving the equations.
Hart
Messages
168
Reaction score
0

Homework Statement



A rectangle is placed symmetrically inside an ellipse (i.e. with all four corners
touching the ellipse) which is defined by:

x^{2} + 4y^{2} = 1

Find the length of the longest perimeter possible for such a rectangle.

Homework Equations



Within the problem statement and solutions.

The Attempt at a Solution



Firstly rearranged the given equation:

x^{2} + 4y^{2} = 1 \implies x^{2} + 4y^{2} - 1 = 0

Then stated the equation for the perimeter of the rectangle:

P = 2x + 2y

Hence need to extremise:

f(x,y) = 2x + 2y

.. on the ellipse:

g(x,y) = x^{2} + 4y^{2} - 1 = 0

Therefore:

F(x,y,\lambda) = f + \lambda g = 2x + 2y + \lambda\left(x^{2} + 4y^{2} - 1\right)

Then calculate partial derivatives:

\frac{\partial F}{\partial x} = 2 + 2y + \lambda\left(x^{2} + 4y^{2} - 1\right) = 0

\frac{\partial F}{\partial y} = 2 + 2x + \lambda\left(x^{2} + 4y^{2} - 1\right) = 0

\frac{\partial F}{\partial \lambda} = 2x + 2y + \left(x^{2} + 4y^{2} - 1\right) = 0

Now I need to look for 'consistent solutions' (i.e. values for x, y, \lambda) within those equations, but I'm a bit stuck with that now :frown:
 
Physics news on Phys.org
How about you parameterize only one corner of the rectangle? It will be sufficient to define the whole rectangle and you only meed to move the point along the ellipse.
 
? :confused: ?
 
The equation for (half an) ellipse is \frac{x^2}{a^2}+\frac{y^2}{b^2}=1, where a and b are the lengths of the axes and given in the problem, but I will generalize here. Expressing y in terms of x shouldn't be a problem.

From here, assign, say, the upper right corner an x value which is bounded to [0,a]. Get the y-value from the expression above and you have the coordinates of your first corner of the rectangle. Per restriction of symmetry the sides of the rectangle will be parallell to the coordinate axes. You now have enough information to obtain the perimeter of the rectangle. Optimize.
 
Hart said:
Therefore:

F(x,y,\lambda) = f + \lambda g = 2x + 2y + \lambda\left(x^{2} + 4y^{2} - 1\right)

Then calculate partial derivatives:

\frac{\partial F}{\partial x} = 2 + 2y + \lambda\left(x^{2} + 4y^{2} - 1\right) = 0

\frac{\partial F}{\partial y} = 2 + 2x + \lambda\left(x^{2} + 4y^{2} - 1\right) = 0

\frac{\partial F}{\partial \lambda} = 2x + 2y + \left(x^{2} + 4y^{2} - 1\right) = 0

Now I need to look for 'consistent solutions' (i.e. values for x, y, \lambda) within those equations, but I'm a bit stuck with that now :frown:


I think there's a calculation error at partial differentiation..
\frac{\partial F}{\partial x}
should be 2 + \lambda\left(2x\right)
 
Thought I may have made a mistake with calculations of the partial derivatives :frown:

So, should be then:

\frac{\partial F}{\partial x} = 2 + 2x\lambda = 0

\frac{\partial F}{\partial x} = 2 + 2y\lambda = 0

\frac{\partial F}{\partial x} = \left(x^{2} + 4y^{2} - 1\right) = 0

.. correct?
 
Last edited:
Thread 'Help with Time-Independent Perturbation Theory "Good" States Proof'
(Disclaimer: this is not a HW question. I am self-studying, and this felt like the type of question I've seen in this forum. If there is somewhere better for me to share this doubt, please let me know and I'll transfer it right away.) I am currently reviewing Chapter 7 of Introduction to QM by Griffiths. I have been stuck for an hour or so trying to understand the last paragraph of this proof (pls check the attached file). It claims that we can express Ψ_{γ}(0) as a linear combination of...
Back
Top