Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty or the objective function is unbounded. HINT [See Example 1.] (Enter EMPTY if the region is empty. Enter UNBOUNDED if the function is unbounded.) Minimize c = x + y subject to x + 2y 2 3 2x + y2 3 x2 0, y 2 0. (x,y) - (

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty or the objective function is unbounded. HINT [See Example 1.] (Enter EMPTY if the region is empty. Enter UNBOUNDED if the function is unbounded.)
Minimize c = x + y subject to
x + 2y 2 3
2x + y2 3
x2 0, y 2 0.
(x,y) - (
Transcribed Image Text:Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty or the objective function is unbounded. HINT [See Example 1.] (Enter EMPTY if the region is empty. Enter UNBOUNDED if the function is unbounded.) Minimize c = x + y subject to x + 2y 2 3 2x + y2 3 x2 0, y 2 0. (x,y) - (
Expert Solution
Step 1

The given linear programming problem is as follows.

Minimize c=x+y

Subject to the constraints

x+2y3

2x+y3

x0

y0

The solution of the constraint x+2y3 consists of all points on the line x+2y=3 and the half-plane determined by this line satisfying the inequality x+2y>3.

Consider the equation x+2y=3 corresponding to the constraint x+2y3.

When the value x=3, we have 3+2y=3y=0.

When the value x=1, we have 1+2y=3y=1.

Clearly, the origin 0,0 does not satisfy the inequality x+2y>3.

Hence, the half-plane satisfying x+2y>3 does not contain the origin.

Thus, the solution of the constraint x+2y3 is the set of all points on the line joining the points 3,0 and 1,1 along with the points on the half-plane determined by this line that does not contain the origin.

Step 2

Similarly, the solution of the constraint 2x+y3 consists of all points on the line 2x+y=3 and the half-plane determined by this line satisfying the inequality 2x+y>3.

Consider the equation 2x+y=3 corresponding to the constraint 2x+y=3.

When the value x=0, we have 20+y=3y=3.

When the value x=1, we have 21+y=3y=1.

Clearly, the origin 0,0 does not satisfy the inequality 2x+y>3.

Hence, the half-plane satisfying 2x+y>3 does not contain the origin.

Thus, the solution of the constraint 2x+y3 is the set of all points on the line joining the points 0,3 and 1,1 along with the points on the half-plane determined by this line that does not contain the origin.

The inequalities x0 and y0 implies that the feasible region lies in the first quadrant.

The intersection of the solutions of these constraints gives the feasible region.

 

 

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