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For the L.P.P. Maximize z = 10x + 6y subjected to

3x + y ≤ 12,

2x + 5y ≤ 34,

x, y ≥ 0.

Then the feasible region represented by system of inequalities is

Solution

✅ Correct Option: 2

The given constraints are:

3x+y≤123x + y \leq 12

2x+5y≤342x + 5y \leq 34

x,y≥0x, y \geq 0

The conditions x≥0x \geq 0 and y≥0y \geq 0 restrict the region to the first quadrant.


To find the boundary lines, convert inequalities to equations:

For 3x+y=123x + y = 12:

When x=0x = 0: y=12y = 12 giving point (0,12)(0, 12)

When y=0y = 0: x=4x = 4 giving point (4,0)(4, 0)

For 2x+5y=342x + 5y = 34:

When x=0x = 0: y=6.8y = 6.8 giving point (0,6.8)(0, 6.8)

When y=0y = 0: x=17x = 17 giving point (17,0)(17, 0)


To find the intersection point, solve:

3x+y=123x + y = 12 ... (i)

2x+5y=342x + 5y = 34 ... (ii)

From equation (i):

y=12−3xy = 12 - 3x

Substituting in equation (ii):

2x+5(12−3x)=342x + 5(12 - 3x) = 34

2x+60−15x=342x + 60 - 15x = 34

−13x=−26-13x = -26

x=2x = 2

Substituting x=2x = 2 in equation (i):

y=12−3(2)y = 12 - 3(2)

y=6y = 6

The intersection point is (2,6)(2, 6).


The feasible region is the area satisfying all constraints:

  • Below line 3x+y=123x + y = 12
  • Below line 2x+5y=342x + 5y = 34
  • In the first quadrant

Corner points of the feasible region:

(0,0)(0, 0), (4,0)(4, 0), (2,6)(2, 6), (0,6.8)(0, 6.8)


The feasible region is enclosed by two constraint lines that intersect, along with the x-axis and y-axis. This forms a closed polygon that does not extend to infinity.

Therefore, the feasible region is bounded in the first quadrant.

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