I apologize for the confusion. You are correct that the constraints should include equations rather than just inequalities. To be able to maximize the objective function C = 4x + 5y, we need to have specific values for x and y that satisfy the given constraints.
Let's assume that the correct constraints are:
1) x + y = 5
2) x + 2y = 6
3) x ≥ 0
4) y ≥ 0
To find the maximum value of C = 4x + 5y, we can solve the constraint equations to find the feasible region where x and y can take values. We can then evaluate C at different points in this feasible region to determine the maximum value.
First, let's solve the constraint equations:
From equation 1: x + y = 5, we can solve for x: x = 5 - y.
Substituting this into equation 2: 5 - y + 2y = 6, we get: y = 1.
Substituting y = 1 back into equation 1: x + 1 = 5, x = 4.
So, the solution to the constraint equations is x = 4 and y = 1.
Now, we can evaluate the objective function C = 4x + 5y at this point:
C = 4(4) + 5(1) = 16 + 5 = 21.
Therefore, the maximum value of C = 4x + 5y, subject to the given constraints, is 21 when x = 4 and y = 1.