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Linear Programming Lecture Notes - Penn State Personal Web Server

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for all λ > 0. This can only be true if Ad ≤ 0. Likewise:x + λd ≥ 0 holds for all λ > 0 if<br />

and only if d ≥ 0. This completes the proof. <br />

Corollary 4.25. If<br />

(4.20) P = {x ∈ R n : Ax = b, x ≥ 0}<br />

and d is a direction of P , then d must satisfy:<br />

(4.21) Ad = 0, d ≥ 0, d = 0.<br />

Exercise 45. Prove the corollary above.<br />

Example 4.26. Consider the polyhedral set defined by the equations:<br />

x1 − x2 ≤ 1<br />

2x1 + x2 ≥ 6<br />

x1 ≥ 0<br />

x2 ≥ 0<br />

This set is clearly unbounded as we showed in class and it has at least one direction. The<br />

direction d = [0, 1] T pointing directly up is a direction of this set. This is illustrated in<br />

Figure 4.7. In this example, we have:<br />

(4.22) A =<br />

Figure 4.7. An Unbounded Polyhedral Set: This unbounded polyhedral set has<br />

many directions. One direction is [0, 1] T .<br />

<br />

1<br />

<br />

−1<br />

−2 −1<br />

Note, the second inequality constraint was a greater-than constraint. We reversed it to<br />

a less-than inequality constraint −2x1 − x2 ≤ −6 by multiplying by −1. For our chosen<br />

direction d = [0, 1] T , we can see that:<br />

<br />

1 −1 0 −1<br />

(4.23) Ad =<br />

= ≤ 0<br />

−2 −1 1 −1<br />

58

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