Linear Programming Lecture Notes - Penn State Personal Web Server
Linear Programming Lecture Notes - Penn State Personal Web Server
Linear Programming Lecture Notes - Penn State Personal Web Server
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These two facts hold since Gd = 0 and if Ai· is a row of A with Ai·x0 < bi (or x > 0), then<br />
there is at least one non-zero ɛ so that Ai·(x0 ± ɛd) < bi (or x0 ± ɛd > 0) still holds and<br />
therefore (x0 ± ɛd) ∈ P . Since we have a finite number of constraints that are non-binding,<br />
we may choose ɛ to be the smallest value so that the previous statements hold for all of<br />
them. Finally we can choose λ = 1/2 and see that x0 = λx + (1 − λ)ˆx and x, ˆx ∈ P . Thus<br />
x0 cannot have been an extreme point, contradicting our assumption. This completes the<br />
proof. <br />
Definition 4.33. Let P be the polyhedral set from Theorem 4.31. If x0 is an extreme<br />
point of P and more than n hyperplanes are binding at x0, then x0 is called a degenerate<br />
extreme point.<br />
Definition 4.34 (Face). Let P be a polyhedral set defined by<br />
P = {x ∈ R n : Ax ≤ b}<br />
where A ∈ R m×n and b ∈ R m . If X ⊆ P is defined by a non-empty set of binding linearly<br />
independent hyperplanes, then X is a face of P .<br />
That is, there is some set of linearly independent rows Ai1·, . . . Ail· with il < m so that<br />
when G is the matrix made of these rows and g is the vector of bi1, . . . , bil then:<br />
(4.27) X = {x ∈ R n : Gx = g and Ax ≤ b}<br />
In this case we say that X has dimension n − l.<br />
Remark 4.35. Based on this definition, we can easily see that an extreme point, which<br />
is the intersection n linearly independent hyperplanes is a face of dimension zero.<br />
Definition 4.36 (Edge and Adjacent Extreme Point). An edge of a polyhedral set P is<br />
any face of dimension 1. Two extreme points are called adjacent if they share n − 1 binding<br />
constraints. That is, they are connected by an edge of P .<br />
Example 4.37. Consider the polyhedral set defined by the system of inequalities:<br />
3x1 + x2 ≤ 120<br />
x1 + 2x2 ≤ 160<br />
28<br />
16 x1 + x2 ≤ 100<br />
x1 ≤ 35<br />
x1 ≥ 0<br />
x2 ≥ 0<br />
The polyhedral set is shown in Figure 4.9. The extreme points of the polyhedral set are shown<br />
as large diamonds and correspond to intersections of binding constraints. Note the extreme<br />
point (16, 72) is degenerate since it occurs at the intersection of three binding constraints<br />
3x1 + x2 ≤ 120, x1 + 2x2 ≤ 160 and 28<br />
16 x1 + x2