Prove nonempty, unbounded feasible region has no optimal solution

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The discussion revolves around a linear programming problem involving the feasible region defined by the constraints x≥0, y≥0, and -x-2y≤-8. The feasible region is established as nonempty and unbounded, particularly in the first quadrant. However, there is confusion regarding the optimal solutions for two different objective functions: Max M=2x+3y, which has no feasible optimal solution, and Max M=-3x-6y, which does have a feasible optimal solution. Participants clarify that the constraints were initially misinterpreted, leading to incorrect conclusions about the boundedness of the feasible region. The conversation emphasizes the importance of accurately defining constraints in linear programming problems.
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Homework Statement



Let C be the set of all points (x,y) in the plane satisfying x≥0, y≥0, -x-2y≥-8.

a. Show that C is nonempty and unbounded.
b. Prove that the LP problem: Max M=2x+3y subject to the constraint that (x,y) lie in C has no feasible, optimal solution.
c. Show that the LP problem: Max M=-3x-6y subject to the constraint that (x,y) lie in C does have a feasible, optimal solution.


Homework Equations





The Attempt at a Solution



a. I graphed the constraints and showed that the feasible region is the entire first quadrant, and therefore C is nonempty and unbounded (provided attachment of my work - is this enough?)

b. I could "show" this but I have no idea how to "prove" it. Does it involve the simplex method?

c. Same question as above
 

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csc2iffy said:

Homework Statement



Let C be the set of all points (x,y) in the plane satisfying x≥0, y≥0, -x-2y≥-8.

a. Show that C is nonempty and unbounded.
b. Prove that the LP problem: Max M=2x+3y subject to the constraint that (x,y) lie in C has no feasible, optimal solution.
c. Show that the LP problem: Max M=-3x-6y subject to the constraint that (x,y) lie in C does have a feasible, optimal solution.


Homework Equations





The Attempt at a Solution



a. I graphed the constraints and showed that the feasible region is the entire first quadrant, and therefore C is nonempty and unbounded (provided attachment of my work - is this enough?)

b. I could "show" this but I have no idea how to "prove" it. Does it involve the simplex method?

c. Same question as above

There is something wrong with the question: what it is asking you is false if you have copied down the constraints correctly. The constraints are x ≥ 0, y ≥ 0 and -x-2y ≥ -8, which is the *same as* x + 2y ≤ 8. Here the feasible region is nonempty and bounded, and so the problems max 2x + 3y and max -3x - 6y (which is the same as min 3x + 6y) both have feasible, optimal solutions.

RGV
 
Sorry here is the problem, corrected:
Let C be the set of all points (x,y) in the plane satisfying x≥0, y≥0, -x-2y≤-8.

a. Show that C is nonempty and unbounded.
b. Prove that the LP problem: Max M=2x+3y subject to the constraint that (x,y) lie in C has no feasible, optimal solution.
c. Show that the LP problem: Max M=-3x-6y subject to the constraint that (x,y) lie in C does have a feasible, optimal solution.
 
someone please help :(
 
csc2iffy said:
someone please help :(

I have already helped, but you have ignored my assistance.

RGV
 
No, I had the problem written down wrong. You helped me with the wrong problem
 
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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