Free practice › Class 12 › Mathematics › Chapter 12
Linear Programming — JEE MCQs with answers
Topics in this chapter
- 12.1 Introduction
- 12.2 Linear Programming Problem and its Mathematical Formulation
Free practice questions
The feasible region of a linear programming problem is given by $x - y \ge -4,\ x + y \ge 2,\ x - 2y \le 6,\ x \ge 0,\ y \ge 0$. It is unbounded, and its corner points are $(0, 2)$, $(0, 4)$, $(2, 0)$ and $(6, 0)$. For which of the following objective functions does $Z$ HAVE a maximum value on this region?
- A. $Z = -2x + y$
- B. $Z = 2x - 3y$
- C. $Z = -x + 3y$
- D. $Z = 3x - 4y$
Show answer
Answer: A — For each objective compare the largest corner value $M$ with the open half plane $Z > M$. $Z = -2x + y$: corner values $2,\ 4,\ -4,\ -12$, so $M = 4$; every feasible point has $y \le x + 4$ (from $x - y \ge -4$) and $x \ge 0$, so $Z \le -2x + x + 4 = 4 - x \le 4$. The half plane $-2x + y > 4$ has no point in common with the region, and the maximum value is $4$, at $(0, 4)$. $Z = 2x - 3y$: $M = 12$, but the feasible point $(8, 1)$ ($7 \ge -4$, $9 \ge 2$, $6 \le 6$) gives $13$. $Z = -x + 3y$: $M = 12$, but the feasible point $(1, 5)$ ($1 - 5 = -4 \ge -4$, $6 \ge 2$, $1 - 10 = -9 \le 6$) gives $14$. $Z = 3x - 4y$: $M = 18$, but $(8, 1)$ gives $20$. These three have no maximum value.
has no point in common with the feasible region
A furniture dealer has Rs 50,000 to invest and storage space of at most 60 pieces. A table costs Rs 2500 and a chair Rs 500; he expects a profit of Rs 250 on each table and Rs 75 on each chair, and he can sell all that he buys. If he buys 12 tables and 30 chairs, how much of his money is left uninvested?
- A. Rs 45,000
- B. Rs 20,000
- C. Rs 30,000
- D. Rs 5000
Show answer
Answer: D — The tables cost $12 \times 2500 = 30000$ and the chairs $30 \times 500 = 15000$, so he spends Rs 45,000 and $50000 - 45000 = 5000$ is left. The answer is option D. Rs 45,000 is the amount spent, not the amount left; Rs 20,000 is what would be left after paying for the tables alone; Rs 30,000 is the cost of the tables alone.
He has Rs 50,000 to invest and has storage space
In the problem: Minimise $Z = 3x + 2y$ subject to the constraints $x + y \ge 8,\ 3x + 5y \le 15,\ x \ge 0,\ y \ge 0$, one way to see why no point satisfies every constraint is to find the largest value that $x + y$ takes at points satisfying $3x + 5y \le 15,\ x \ge 0,\ y \ge 0$ and compare it with $8$. That largest value is
- A. $3$
- B. $5$
- C. $8$
- D. $\dfrac{15}{4}$
Show answer
Answer: B — The points with $3x + 5y \le 15,\ x \ge 0,\ y \ge 0$ form a bounded region, the triangle with corner points $(0, 0)$, $(5, 0)$ and $(0, 3)$. At these corners $x + y$ equals $0$, $5$ and $3$, so its largest value on the triangle is $5$, at $(5, 0)$: option B. Since $5 < 8$, the constraint $x + y \ge 8$ fails at every such point, which is why the problem has no feasible region. Option A takes the corner $(0, 3)$ instead of $(5, 0)$. Option C combines the two intercepts into the point $(5, 3)$, which is not in the triangle because $3(5) + 5(3) = 30 > 15$. Option D assumes the largest value occurs where $x = y$, that is at $\left(\dfrac{15}{8}, \dfrac{15}{8}\right)$.
there is no point satisfying all the
The opening page of the chapter on Linear Programming carries a quotation and a captioned portrait. To whom is the quotation attributed, and whose name is the caption of the portrait?
- A. quotation: G. B. Dantzig; portrait: L. Kantorovich
- B. quotation: G. Polya; portrait: T. C. Koopmans
- C. quotation: G. Polya; portrait: L. Kantorovich
- D. quotation: G. B. Dantzig; portrait: T. C. Koopmans
Show answer
Answer: C — On p.394 the quotation ends '– G. POLYA' and the portrait is captioned 'L. Kantorovich'. That is option C. G. B. Dantzig and T. C. Koopmans are named only in the Historical Note at the end of the chapter.
the opportunity to solve a problem invented by himself.
Maximise $Z = -5x + 2y$ subject to the constraints $2x - 3y \le 10,\ 3x + y \ge 3,\ x \le 8,\ x \ge 0,\ y \ge 0$. Let $M$ denote the largest of the values of $Z$ at the corner points of the feasible region. Then
- A. $M = 6$, and $M$ is the maximum value of $Z$
- B. $M = -36$, and $M$ is the maximum value of $Z$
- C. $M = -36$, but $Z$ has no maximum value
- D. $M = 6$, but $Z$ has no maximum value
Show answer
Answer: D — The corner points are $(0, 3)$, $(1, 0)$, $(5, 0)$ and $(8, 2)$, where $Z = 6,\ -5,\ -25,\ -36$; so $M = 6$ ($-36$ is the largest only in size, and is in fact the smallest value). The feasible region is unbounded: $(0,\ 3 + t)$ is feasible for every $t \ge 0$. So $M$ is the maximum only if the open half plane $-5x + 2y > 6$ has no point in common with the region. But $(0, 4)$ is feasible ($0 - 12 = -12 \le 10$, $0 + 4 = 4 \ge 3$, $0 \le 8$, coordinates non-negative) and gives $Z = 8 > 6$. Hence $M = 6$, but $Z$ has no maximum value.
has no maximum value.
In the Historical Note of the chapter on Linear Programming, the simplex method is described as an iterative procedure to solve
- A. only the transportation problem in a finite number of steps
- B. any linear programming problem in an unlimited number of steps
- C. only the transportation problem in an unlimited number of steps
- D. any linear programming problem in a finite number of steps
Show answer
Answer: D — The Note calls it 'an efficient method known as the simplex method which is an iterative procedure to solve any linear programming problem in a finite number of steps' (p.405). That is option D. The Note does not restrict the method to the transportation problem, and it says the number of steps is finite.
known as the simplex method which is an iterative procedure to solve any
For the problem 'Minimise $Z = x + 2y$ subject to $2x + y \ge 3$, $x + 2y \ge 6$, $x,\ y \ge 0$' of EXERCISE 12.1, the minimum value of $Z$ is $6$, and it occurs at more than two points. Which of the following feasible points does NOT give this minimum value?
- A. $(2, 3)$
- B. $(4, 1)$
- C. $(2, 2)$
- D. $(6, 0)$
Show answer
Answer: A — $Z = 6$ at both corner points $(6, 0)$ and $(0, 3)$, and so at every point of the line segment joining them, which lies on $x + 2y = 6$ (p.401). The point $(2, 3)$ is feasible ($2x + y = 7 \ge 3$, $x + 2y = 8 \ge 6$) but is not on that segment: $Z = 8$ there. This is option A. Option B gives $Z = 4 + 2 = 6$; it lies on the segment joining $(6, 0)$ and $(0, 3)$. Option C gives $Z = 2 + 4 = 6$; it lies on the segment joining $(6, 0)$ and $(0, 3)$. Option D is a corner point, and $Z = 6$ there.
Show that the minimum of Z occurs at more than two points
In the furniture dealer's problem of Section 12.1, what does the dealer want to know?
- A. how many tables and chairs to buy so as to minimise his total cost
- B. how many tables and chairs to buy so as to maximise his total profit
- C. at what price to sell tables and chairs so as to maximise his total profit
- D. at what price to sell tables and chairs so as to minimise his total cost
Show answer
Answer: B — The story ends: he 'wants to know how many tables and chairs he should buy from the available money so as to maximise his total profit' (p.394). That is option B. The quantity to be decided is the number of each item bought, not a selling price, and the aim is the largest total profit, not the smallest cost.
so as to maximise his total profit, assuming that he can sell all
A student's solution of the problem: Minimise $Z = x + 4y$ subject to $2x + y \ge 8$, $x + 2y \ge 10$, $x + y \le 9$, $x \ge 0,\ y \ge 0$, runs as follows. Step 1: Solving $2x + y = 8$ and $x + 2y = 10$ gives $(2, 4)$; solving $x + 2y = 10$ and $x + y = 9$ gives $(8, 1)$. Step 2: The corner points of the feasible region are $(2, 4)$, $(8, 1)$, $(0, 9)$ and $(0, 8)$, and the region is bounded. Step 3: At these points $Z = 18,\ 12,\ 36,\ 32$ respectively. Step 4: Hence the minimum value of $Z$ is $36$, at $(0, 9)$. Each step after an error is worked correctly from what the steps before it give. The earliest step that contains an error is
- A. Step 1
- B. Step 2
- C. Step 3
- D. Step 4
Show answer
Answer: D — Step 1 is right: $(2, 4)$ lies on $2x + y = 8$ and $x + 2y = 10$, and $(8, 1)$ lies on $x + 2y = 10$ and $x + y = 9$. Step 2 is right: all four points satisfy every constraint, the lines $2x + y = 8$ and $x + y = 9$ meet the $y$-axis at $(0, 8)$ and $(0, 9)$, and the region is a quadrilateral, hence bounded. Step 3 is right: $2 + 16 = 18$, $8 + 4 = 12$, $0 + 36 = 36$, $0 + 32 = 32$. Step 4 picks the largest value, $36$, which is the maximum of $Z$; the minimum asked for is the smallest value, $12$, at $(8, 1)$. So the error is in Step 4. The answer is option D.
When the feasible region is bounded, M and m are the maximum and
A furniture dealer has Rs 50,000 to invest and storage space of at most 60 pieces. A table costs Rs 2500 and a chair Rs 500; he expects a profit of Rs 250 on each table and Rs 75 on each chair, and he can sell all that he buys. He buys 14 tables and spends all the money that remains on chairs. What total profit does he expect?
- A. Rs 6950
- B. Rs 2250
- C. Rs 5750
- D. Rs 3450
Show answer
Answer: C — Fourteen tables cost $14 \times 2500 = 35000$, leaving Rs 15,000, which buys $15000 \div 500 = 30$ chairs (44 pieces in all, within the 60 he can store). The profit is $14 \times 250 + 30 \times 75 = 3500 + 2250 = 5750$. The answer is option C. Taking 46 chairs, the number that would fill the storage space, gives $3500 + 46 \times 75 = 6950$, but 14 tables and 46 chairs cost Rs 58,000, more than he has. Rs 2250 and Rs 3450 are the profits on the 30 chairs and on the 46 chairs alone, with the tables left out.
He has Rs 50,000 to invest and has storage space
Practise all 513 questions of Linear Programming in timed JEE tests
+4/−1 marking like the real exam · see which topics cost you marks · notes, XP and leaderboards
Start your free trial →