Optimization problem: minimization

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The discussion centers on minimizing the function f(x,y) = √(x² + y²) under the constraint x + y ≤ 0. Participants clarify that the trivial solution (0,0) is indeed the only minimum, as any other point would yield a higher function value. The concept of MP(z) is introduced as the infimum of f(x,y) values satisfying the constraint, with a focus on its differentiability at z = 0. The conversation emphasizes the geometric interpretation of the problem and the application of the Karush-Kuhn-Tucker conditions to confirm that (0,0) is the global minimum. Overall, the problem is framed as straightforward, with the main challenge being the differentiability aspect of MP(z).
rayge
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Homework Statement


Minimize the function f(x,y) = \sqrt{x^2 + y^2} subject to x + y \leq 0. Show that the function MP(z) is not differentiable at z = 0.

Homework Equations

The Attempt at a Solution


I haven't gotten anywhere because I don't understand why the solution isn't trivial, i.e. (0,0). Any suggestions as to where to start are welcome. Thanks!
 
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Your trivial solution gives f(x,y)=0. Are there any others? If there are, then they are all minimizers. If not, then I think you are done.
What about the differentiable piece? What is meant by MP(z)?
 
rayge said:

Homework Statement


Minimize the function f(x,y) = \sqrt{x^2 + y^2} subject to x + y \leq 0. Show that the function MP(z) is not differentiable at z = 0.

Homework Equations

The Attempt at a Solution


I haven't gotten anywhere because I don't understand why the solution isn't trivial, i.e. (0,0). Any suggestions as to where to start are welcome. Thanks!
Your constraint is the line y = -x together with the half-plane below it.

What is MP(z)? That information should be in the problem statement.
 
sorry about that. MP(z) is the infimum of the set of all values of f(x,y) satisfying x + y \leq z, i.e. the minimum value of f(x,y) if it exists, or the greatest lower bound of it. The domain of MP(z) is the set of all z such that there are points (x,y) satisfying x + y \leq z.

Formally:
MP(z) = inf\{f(x) | x \epsilon C, g(x) \leq z\}
where C is a convex set, in this case R^2

I haven't worked on showing the function isn't differentiable at z=0 yet, I'll probably have questions about that too. I'm mostly confused about why there is anything to solve in the first part of the problem.
 
The solution to the first part is straightforward. Assume there is a minimum that is not (0,0) and contradict your assumption by showing that f(x,y)>0=f(0,0).
 
rayge said:

Homework Statement


Minimize the function f(x,y) = \sqrt{x^2 + y^2} subject to x + y \leq 0. Show that the function MP(z) is not differentiable at z = 0.

Homework Equations

The Attempt at a Solution


I haven't gotten anywhere because I don't understand why the solution isn't trivial, i.e. (0,0). Any suggestions as to where to start are welcome. Thanks!
The optimal solution IS trivial---you can see that geometrically--- and it is at (0,0), as you have stated.

If you have studied the Karush-Kuhn-Tucker conditions, you will see that (0,0) satisfies the necessary conditions for a minimum, but in the equivalent convex problem ##\min \; x^2 + y^2 \;\; \text{subject to } \; x + y \leq 0##. Since this is a convex programming problem, any local minimum is a global minimum, so the origin is provably the only solution---again, though, that is about as obvious as you can get.
 
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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