Question
Question: The objective function z = x1 + x2 subject to the conditions are x1 + x2 ≤ 10, -2x1 + 3x2 ≤ 15, x1 ...
The objective function z = x1 + x2 subject to the conditions are
x1 + x2 ≤ 10, -2x1 + 3x2 ≤ 15, x1 ≤ 6, x1, x2 ≥ 0
has maximum value -------------of the feasible region

At only one point
at only two point
at every point of the segment joining two point
at every point of the line joining two points equivalent to
at every point of the segment joining two point
Solution
To find the maximum value of the objective function z=x1+x2 subject to the given constraints, we first need to determine the feasible region defined by these inequalities.
The constraints are:
- x1+x2≤10
- −2x1+3x2≤15
- x1≤6
- x1≥0
- x2≥0
Step 1: Graph the inequalities and find the feasible region.
- x1+x2≤10: Draw the line x1+x2=10. It passes through (10, 0) and (0, 10). The region satisfying the inequality is below this line (towards the origin).
- −2x1+3x2≤15: Draw the line −2x1+3x2=15. It passes through (0, 5) and (-7.5, 0). The region satisfying the inequality is above this line (towards the origin).
- x1≤6: Draw the vertical line x1=6. The region satisfying the inequality is to the left of this line.
- x1≥0,x2≥0: This restricts the feasible region to the first quadrant.
The feasible region is a polygon formed by the intersection of all these regions.
Step 2: Identify the corner points (vertices) of the feasible region.
The corner points are the intersections of the boundary lines that satisfy all constraints.
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O (0, 0): Intersection of x1=0 and x2=0. All constraints are satisfied. z=0+0=0.
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A (0, 5): Intersection of x1=0 and −2x1+3x2=15. Substitute x1=0 into −2x1+3x2=15⇒3x2=15⇒x2=5. Check constraints: 0+5≤10 (True), 0≤6 (True). z=0+5=5.
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B (6, 0): Intersection of x1=6 and x2=0. Check constraints: 6+0≤10 (True), −2(6)+3(0)=−12≤15 (True). z=6+0=6.
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C (6, 4): Intersection of x1=6 and x1+x2=10. Substitute x1=6 into x1+x2=10⇒6+x2=10⇒x2=4. Check constraints: −2(6)+3(4)=−12+12=0≤15 (True). z=6+4=10.
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E (3, 7): Intersection of x1+x2=10 and −2x1+3x2=15. From x1+x2=10, we get x1=10−x2. Substitute into −2x1+3x2=15: −2(10−x2)+3x2=15 −20+2x2+3x2=15 5x2=35⇒x2=7. Then x1=10−7=3. Check constraints: 3≤6 (True). z=3+7=10.
The vertices of the feasible region are O(0,0), A(0,5), E(3,7), C(6,4), and B(6,0).
Step 3: Evaluate the objective function z=x1+x2 at each vertex.
- At O(0, 0): z=0+0=0
- At A(0, 5): z=0+5=5
- At B(6, 0): z=6+0=6
- At C(6, 4): z=6+4=10
- At E(3, 7): z=3+7=10
Step 4: Determine the maximum value and where it occurs.
The maximum value of z is 10. This maximum value occurs at two distinct vertices: C(6, 4) and E(3, 7).
According to the fundamental theorem of linear programming, if the optimal value of the objective function occurs at two distinct corner points of the feasible region, then it occurs at every point on the line segment joining these two points. In this case, the objective function z=x1+x2 is parallel to the constraint line x1+x2=10, which forms the edge CE of the feasible region. Therefore, every point (x1,x2) on the line segment joining C(6, 4) and E(3, 7) will yield x1+x2=10, resulting in the maximum value of z=10.
The maximum value occurs at every point of the segment joining the two points C(6,4) and E(3,7).