Skip to content
Example · Example 2

Q.For the linear programming problem Maximize Z=3x+2yZ = 3x + 2y subject to the constraints x+y≤4, x≤3, x,y≥0x + y \le 4,\ x \le 3,\ x, y \ge 0, determine, giving a reason in each case, whether the points (1,1)(1,1), (3,3)(3,3) and (4,0)(4,0) are feasible solutions.

West Bengal WbchseTextbookSubjectiveImportance★★★★★est
10% · 4/39 Questions
✓ Free question

Check (1,1)(1,1): x+y=1+1=2≤4x+y=1+1=2\le4 ✓; x=1≤3x=1\le3 ✓; x=1≥0, y=1≥0x=1\ge0,\ y=1\ge0 ✓. All three constraints hold, so (1,1)(1,1) is a feasible solution.

Check (3,3)(3,3): x+y=3+3=6x+y=3+3=6, but the constraint requires x+y≤4x+y\le4, and 6>46>4 — this constraint is violated, so (3,3)(3,3) is infeasible (it does not matter that x=3≤3x=3\le3 is separately satisfied; every constraint must hold at once).

Check (4,0)(4,0): x=4x=4, but the constraint requires x≤3x\le3, and 4>34>3 — violated, so (4,0)(4,0) is infeasible (note that x+y=4≤4x+y=4\le4 is satisfied here; this point fails only the second constraint, illustrating that a point can be infeasible by breaking just one of several constraints).

✓Final answer

(1,1)(1,1) is a feasible solution; (3,3)(3,3) and (4,0)(4,0) are both infeasible

Unlock everything free for 14 days

  • Full step-by-step solutions
  • Concept-first explanations
  • Methods, shortcuts & mistakes
  • PYQ mapping + timed mock tests

Full access for 14 days. No credit card required.