linear programming, polyhedron and extreme points

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SUMMARY

This discussion centers on the properties of extreme points within a polyhedron defined by the constraints Ax ≤ b, where the variable x has a dimension of n and the rank of matrix A is n. The main inquiry is whether extreme points in a polyhedron can be linearly dependent. The consensus is that it is indeed possible for extreme points to be linearly dependent, as demonstrated by the example of a square where the vertex (0,0) is linearly dependent on all other vertices.

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  • Understanding of polyhedra and their properties in linear programming.
  • Familiarity with linear dependence and independence concepts.
  • Knowledge of matrix rank and its implications in linear systems.
  • Basic geometric interpretation of vertices and extreme points in R^n.
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mertcan
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Hi,

First assume that there is a polyhedron P, where Ax<=b and x is free variable whose dimension is n. Besides, rank(A) = n. I really wonder if extreme points in a polyhedron can be linearly dependent? I used even ChatGPT, but it includes some shaky calculations while proofing. In short, if extreme points in a polyhedron can be linearly dependent or not, could you provide me with a proof?

Thanks
 
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mertcan said:
Hi,

First assume that there is a polyhedron P, where Ax<=b and x is free variable whose dimension is n. Besides, rank(A) = n. I really wonder if extreme points in a polyhedron can be linearly dependent? I used even ChatGPT, but it includes some shaky calculations while proofing. In short, if extreme points in a polyhedron can be linearly dependent or not, could you provide me with a proof?

Thanks
As an example you can consider a triangle in the plane R^2 with vertices
A=(0,1)
B=(1,0)
C=(1,1)

x<=1
y<=1
x+y>=1 ( -x-y<=-1 )
 
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very thanks for your reply. Well, may I ask if ANY TWO extreme points in a polyhedron can be linearly dependent or not (those 2 extreme points are multiple of each other or not), could you provide me with a proof?

Thanks
 
It's trivial that you can get two points to be linearly dependent. For example the square with vertices (0,0), (0,1), (1,0) and (1,1). (0,0) Is linearly dependent with every other vertex.
 
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