Prove nonempty, unbounded feasible region has no optimal solution

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Homework Help Overview

The discussion revolves around a linear programming problem involving the set C defined by specific constraints in the first quadrant of the Cartesian plane. Participants are tasked with demonstrating properties of this set and analyzing the feasibility and optimality of two linear programming problems based on it.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the graphical representation of the constraints to establish the nature of the feasible region. There are questions about the distinction between showing and proving certain properties of the linear programming problems. Some participants express confusion regarding the implications of the constraints and whether they lead to bounded or unbounded regions.

Discussion Status

The discussion includes attempts to clarify the constraints and their implications on the feasible region. Some participants have provided insights into the nature of the problems, while others are seeking further assistance and clarification on the correctness of their interpretations.

Contextual Notes

There is an ongoing debate about the accuracy of the constraints as initially stated, with one participant suggesting that the original constraints may have been miscopied, leading to different interpretations of the feasible region's properties.

csc2iffy
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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
 

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