HelpSolve Maximization Problem: 1170X1 + 1110X2

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The discussion centers on solving a linear programming maximization problem defined by the objective function 1170X1 + 1110X2, subject to five constraints. The key constraints forming the feasible region are identified as 9X1 + 5X2 ≥ 500 and 7X1 + 9X2 ≤ 1900. The user initially expressed confusion regarding the necessity of certain constraints, particularly why some do not impose additional restrictions on the feasible area. Ultimately, the user resolved their confusion regarding the constraints and their implications on the feasible region.

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chwala
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Hi Mathematicians,
I recently encountered this problem in maximization...
Maximize 1170X1 + 1110X2
Subject to
1. 9x1 +5x2 ≥ 500
2. 7x1 +9x2 ≥ 300
3. 5x1 + 3x2 ≤ 1500
4. 7x1 + 9x2 ≤ 1900
5. 2x1 + 4x2 ≤ 1000
X1,X2 ≥ 0

Where it was stated that 9x1 +5x2 ≥ 500 and 7x1 + 9x2 ≤ 1900 are the two constraints forming the feasible region…I was just wondering why the two…..
IN
1. When x1 =0 x2 = 100, when x2 =0 x1=55.556….i n (2) x1=42.85 x2=33.33 evidently x1,x2 in (1) is bigger than (2)
2. In (4) x1=271.42 x2=211.11
In (5) x1=500 x2=250 a problem here why is 4 taken as one of the constraints and yet the values of x1 and x2 in 5 are greater than in 4 ?
Am puzzled…
 
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What you are saying is that some of the constraints are unnecessary- they do not put any additional restriction on the feasible area. Just ignore them. I presume that in what ever application this is from, there was some condition that might have a restraint on the feasible area, but, it turns out, others cover that.
 
HallsofIvy said:
What you are saying is that some of the constraints are unnecessary- they do not put any additional restriction on the feasible area. Just ignore them. I presume that in what ever application this is from, there was some condition that might have a restraint on the feasible area, but, it turns out, others cover that.


thanks i have figured out the problem.
 

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