Mathematics Objective Questions and Answers: Linear Programming
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Multiple Choice Questions
(a) the maximum value of the objective function
(b) the minimum value of the objective function
(c) the optimum value of the objective function
(d) none of these
Show Answer & Explanation
Answer: (c) the optimum value of the objective function
Explanation:
1. A linear programming problem seeks the best value of a linear objective function under linear constraints.
2. The best value may be a maximum or a minimum, i.e. the optimum.
Teacher's Note:
1. Optimum covers both maximum and minimum.
(a) one variable
(b) two variables
(c) one or two variables
(d) two or more variables
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Answer: (d) two or more variables
Explanation:
1. Linear constraints may involve two or more variables; the usual graphical case has two.
Teacher's Note:
1. A problem with one variable is not a programming problem.
(a) the optimal solution of the L.P.P.
(b) the objective function
(c) the constraints
(d) the linear assumption
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Answer: (a) the optimal solution of the L.P.P.
Explanation:
1. The optimum of a linear objective over a feasible region always occurs at a corner point (the corner point theorem).
Teacher's Note:
1. Recall the corner point theorem.
(a) given by the intersection of inequations with the axes only
(b) given by the intersection of inequations with the x-axis only
(c) given by the corner points of the feasible region
(d) none of these
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Answer: (c) given by the corner points of the feasible region
Explanation:
1. By the corner point theorem the optimum occurs at a vertex of the feasible region, which need not lie on an axis.
Teacher's Note:
1. Optimum at corner points.
(a) Every L.P.P. admits an optimal solution
(b) An L.P.P. admits a unique optimal solution
(c) If an L.P.P. admits two optimal solutions, it has an infinite number of optimal solutions
(d) The set of all feasible solutions of an L.P.P. is not a convex set
Show Answer & Explanation
Answer: (c) If an L.P.P. admits two optimal solutions, it has an infinite number of optimal solutions
Explanation:
1. A problem may have no optimum (unbounded or infeasible) or many, so (a) and (b) fail.
2. If two points are optimal, every point of the segment joining them (feasible by convexity) gives the same value, so there are infinitely many. The feasible set is convex, so (d) fails.
Teacher's Note:
1. Linear functions are constant-gradient along a segment.
(a) the half plane containing the point \( (h,k) \) but excluding the points on \( ax+by=4 \)
(b) the half plane containing the point \( (h,k) \) and the points on \( ax+by=4 \)
(c) the whole xy-plane
(d) none of these
Show Answer & Explanation
Answer: (b) the half plane containing the point \( (h,k) \) and the points on \( ax+by=4 \)
Explanation:
1. The inequality is not strict, so the boundary line \( ax+by=4 \) is included.
2. The half plane is the one on the same side of the line as \( (h,k) \).
Teacher's Note:
1. A non-strict inequality includes the boundary.
(a) 10
(b) 26
(c) 35
(d) 70
Show Answer & Explanation
Answer: (c) 35
Explanation:
1. The corner points are \( (0,0) \), \( (7,0) \), \( (4,3) \) and \( (0,5) \).
2. \( z=0,\ 35,\ 26,\ 10 \) respectively, so the maximum is 35 at \( (7,0) \).
Teacher's Note:
1. Evaluate z at every corner point.
(a) 10
(b) 60
(c) 30
(d) none of these
Show Answer & Explanation
Answer: (c) 30
Explanation:
1. The corner points are \( (0,0) \), \( (10,0) \), \( \left(\frac{20}{3},\frac{20}{3}\right) \) and \( (0,10) \).
2. \( P=0,\ 10,\ \frac{80}{3},\ 30 \), so the maximum is 30 at \( (0,10) \).
Teacher's Note:
1. Compute P at each vertex.
(a) a constant
(b) a function to be optimised
(c) a relation between the variables
(d) none of these
Show Answer & Explanation
Answer: (b) a function to be optimised
Explanation:
1. The objective function is the linear function whose maximum or minimum value is sought.
Teacher's Note:
1. It is the quantity to be optimised.
(a) \( (0,0) \)
(b) \( (0,8) \)
(c) \( (5,0) \)
(d) \( (4,10) \)
Show Answer & Explanation
Answer: (b) \( (0,8) \)
Explanation:
1. \( Z=0,\ 15,\ -2,\ -14,\ -28,\ -32 \) at \( (0,0),(5,0),(6,5),(6,8),(4,10),(0,8) \) respectively.
2. The minimum value \( -32 \) occurs at \( (0,8) \).
Teacher's Note:
1. Evaluate Z at every corner point.
(a) the first quadrant
(b) the second quadrant
(c) the third quadrant
(d) the fourth quadrant
Show Answer & Explanation
Answer: (a) the first quadrant
Explanation:
1. Both coordinates are non-negative, which describes the first quadrant.
Teacher's Note:
1. Signs of x and y.
(a) \( (0,8) \)
(b) \( (2,5) \)
(c) \( (4,3) \)
(d) \( (9,0) \)
Show Answer & Explanation
Answer: (b) \( (2,5) \)
Explanation:
1. \( Z=24,\ 23,\ 25,\ 36 \) at the four corners.
2. Both coefficients are positive, so Z grows away from the corners in an unbounded region; the minimum is 23 at \( (2,5) \).
Teacher's Note:
1. Positive coefficients keep the minimum at a corner.
(a) 12
(b) 8
(c) 0
(d) \( -18 \)
Show Answer & Explanation
Answer: (c) 0
Explanation:
1. The corner points are \( (0,0) \), \( (0,4) \), \( (6,12) \) and \( (6,16) \).
2. \( f=0,\ -16,\ -30,\ -46 \), so the maximum is 0 at \( (0,0) \).
Teacher's Note:
1. List the vertices of the parallelogram.
(a) 20 at \( (1,0) \)
(b) 30 at \( (0,6) \)
(c) 37 at \( (4,5) \)
(d) 33 at \( (6,3) \)
Show Answer & Explanation
Answer: (c) 37 at \( (4,5) \)
Explanation:
1. The corner points are \( (0,0) \), \( (7,0) \), \( (6,3) \), \( (4,5) \) and \( (0,6) \).
2. \( Z=0,\ 21,\ 33,\ 37,\ 30 \). The maximum is 37 at \( (4,5) \).
Teacher's Note:
1. Find the intersections of consecutive lines.
(a) \( (4,0) \)
(b) \( (28,8) \)
(c) \( \left(2,\dfrac12\right) \)
(d) \( (0,3) \)
Show Answer & Explanation
Answer: (c) \( \left(2,\dfrac12\right) \)
Explanation:
1. The unbounded feasible region has the corner points \( (0,3) \), \( \left(2,\frac12\right) \) and \( (4,0) \).
2. \( Z=63,\ 22.5,\ 24 \) respectively. The minimum is 22.5 at \( \left(2,\frac12\right) \).
Teacher's Note:
1. Evaluate Z at the corner points.
(a) 16 at \( (4,0) \)
(b) 24 at \( (0,4) \)
(c) 24 at \( (6,0) \)
(d) 36 at \( (0,6) \)
Show Answer & Explanation
Answer: (d) 36 at \( (0,6) \)
Explanation:
1. The corner points are \( (4,0) \), \( (0,4) \) and \( (0,6) \).
2. \( Z=16,\ 24,\ 36 \). The maximum is 36 at \( (0,6) \).
Teacher's Note:
1. Draw the strip between the two lines.
(a) Maximise \( Z=0.08x+0.09y \) subject to \( x+y\le50000 \), \( x\ge15000 \), \( y\ge20000 \)
(b) Maximise \( Z=0.08x+0.09y \) subject to \( x+y\le50000 \), \( x\ge15000 \), \( y\le20000 \)
(c) Maximise \( Z=0.08x+0.09y \) subject to \( x+y\le50000 \), \( x\le15000 \), \( y\ge20000 \)
(d) Maximise \( Z=0.08x+0.09y \) subject to \( x+y\le50000 \), \( x\le15000 \), \( y\le20000 \)
Show Answer & Explanation
Answer: (a) Maximise \( Z=0.08x+0.09y \) subject to \( x+y\le50000 \), \( x\ge15000 \), \( y\ge20000 \)
Explanation:
1. The total invested is at most 50,000, so \( x+y\le50000 \).
2. 'At least' gives \( x\ge15000 \) and \( y\ge20000 \). Income is \( 0.08x+0.09y \).
Teacher's Note:
1. At least translates to a lower bound.
(a) Maximise \( Z=1000x+1200y \) subject to \( 8x+11y\ge450 \), \( 2x+3y\ge100 \), \( x,y\ge0 \)
(b) Maximise \( Z=1000x+1200y \) subject to \( 8x+11y\le450 \), \( 2x+3y\le100 \), \( x,y\ge0 \)
(c) Maximise \( Z=1000x+1200y \) subject to \( 8x+11y\le450 \), \( 2x+3y\ge100 \), \( x,y\ge0 \)
(d) Maximise \( Z=1000x+1200y \) subject to \( 8x+11y\ge450 \), \( 2x+3y\le100 \), \( x,y\ge0 \)
Show Answer & Explanation
Answer: (b) Maximise \( Z=1000x+1200y \) subject to \( 8x+11y\le450 \), \( 2x+3y\le100 \), \( x,y\ge0 \)
Explanation:
1. Wood used is \( 8x+11y \) and cannot exceed 450. Steel used is \( 2x+3y \) and cannot exceed 100.
2. So both constraints are '\( \le \)', giving option (b).
Teacher's Note:
1. Resource usage cannot exceed availability.
(a) \( (0,2) \) only
(b) \( (3,0) \) only
(c) the mid-point of the segment joining \( (0,2) \) and \( (3,0) \) only
(d) any point on the segment joining \( (0,2) \) and \( (3,0) \)
Show Answer & Explanation
Answer: (d) any point on the segment joining \( (0,2) \) and \( (3,0) \)
Explanation:
1. \( F(0,2)=12 \) and \( F(3,0)=12 \), and the other corners give 24, 84 and 30.
2. The minimum 12 is attained at two corners, so it is attained at every point of the segment joining them.
Teacher's Note:
1. Equal values at two corners mean a whole edge of optimal points.
(a) \( (0,0) \)
(b) \( (1.5,1.5) \)
(c) \( (2,0) \)
(d) \( (0,2) \)
Show Answer & Explanation
Answer: (c) \( (2,0) \)
Explanation:
1. The corners are \( (0,0) \), \( (2,0) \) and \( (0,2) \), with values 0, 6 and 4.
2. The maximum is at \( (2,0) \).
Teacher's Note:
1. Evaluate at each vertex.
(a) \( (0,2) \)
(b) \( (0,0) \)
(c) \( (3,0) \)
(d) none of these
Show Answer & Explanation
Answer: (d) none of these
Explanation:
1. The lines meet at \( (3,0) \); the region is the triangle with vertices \( (0,0) \), \( (3,0) \) and \( (0,2) \).
2. All three listed points are vertices, so the answer is 'none of these'.
Teacher's Note:
1. Find the intersection of the two lines first.
(a) 90
(b) 120
(c) 96
(d) 240
Show Answer & Explanation
Answer: (b) 120
Explanation:
1. The corner points are \( (0,0) \), \( (15,0) \), \( (12,6) \) and \( (0,12) \).
2. \( z=0,\ 90,\ 120,\ 96 \). The maximum is 120.
Teacher's Note:
1. The vertex \( (12,6) \) is the intersection of the two lines.
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