Determining maximum and minimum points of a projected circle

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The discussion centers on determining maximum and minimum points of a projected circle using calculus of variation and optimization techniques. The initial approach involves using the Euler-Lagrange Equation to find the function y(x) that extremizes a given integral. However, it is noted that the problem can be simplified to constrained optimization without needing calculus of variations. Instead, using geometric insights and trigonometric identities can effectively identify the maximum and minimum heights related to the circle's parameters. The conclusion emphasizes that the problem can be solved through straightforward geometric reasoning rather than complex calculus methods.
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Homework Statement


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Homework Equations

The Attempt at a Solution


This problem belongs to the topic "calculus of variation ". The fundamental problem of “calculus of variation” is to find a function y(x) such that the integral ## I = \int_{x_i }^{ x_f} \phi (y’, y, x) ~d x ## is extremum, where ## \phi (y', y, x) ## is a functional. Then, I have to use Euler - Lagrange Equation to find out y(x).

Here, I am not able to formulate the problem using the calculus of variation technique.

Another approach is to find out the function expressing the circle in ## \phi ## - plane, i.e. f( ##\phi ## , y,x) and then use df = 0 to find out the points of maximum and minimum. Then I don’t know how to find out the function f?

Is this correct till now?
 

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I don't know what a maximum point is (or a minimum point). But if you have to find the points where ##\Phi## is at an extremum, then I doubt the need for Euler. Lagrange (actually, his multipliers method) can do it on his own :wink:
 
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Pushoam said:
1. Th(ue problem statement, all variables and given/known data
View attachment 226690View attachment 226695

Homework Equations

The Attempt at a Solution


This problem belongs to the topic "calculus of variation ". The fundamental problem of “calculus of variation” is to find a function y(x) such that the integral ## I = \int_{x_i }^{ x_f} \phi (y’, y, x) ~d x ## is extremum, where ## \phi (y', y, x) ## is a functional. Then, I have to use Euler - Lagrange Equation to find out y(x).

Here, I am not able to formulate the problem using the calculus of variation technique.

Another approach is to find out the function expressing the circle in ## \phi ## - plane, i.e. f( ##\phi ## , y,x) and then use df = 0 to find out the points of maximum and minimum. Then I don’t know how to find out the function f?

Is this correct till now?

You just have two simple constrained optimization problems:
(1) For maximum height: ##\max \, (x+y)##, subject to ##(x-2)^2 + (y-2)^2=1##.
(2) For minimum height: ##\min \, (x+y)##, subject to ##(x-2)^2 + (y-2)^2=1##.

Neither problem involves anything like "calculus of variations", although they could involve "Lagrange multipliers", depending on how you solve them.

Actually, both problems can be solved easily without calculus of any kind, just by looking at the geometry.
 
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It doesn't even require calculus. If ##x = 2+\cos\theta,~y=2 + \sin\theta##, what is ##z##? Simple trigonometry will give its maximum.
 
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Thanks for the replies. I got it.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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