Extreme direction of convex cone as extreme point of intersection with hyperplane

Dependencies:

  1. Inner product space
  2. Convex set
  3. Cone
  4. Extreme directions of a convex set
  5. Extreme point of a convex set
  6. Convex combination and convex hull
  7. Inner product is anti-linear in second argument

Let C be a convex cone (in an inner product space over R). Let c be a vector such that c,x>0 for all xC{0}. Let γR>0 and S={xC:c,x=γ}.

If d is an extreme direction of C, then (γ/c,d)d is an extreme point of S. If d is an extreme point of S, then d is an extreme direction of C.

Proof

We can assume without loss of generality that γ is 1, since we can scale c.

Two vectors u and v are called collinear iff u/c,u=v/c,v.

Let dC{0}. Let d^=d/c,d. Then c,d^=1, so d^S. Suppose d^ is a non-extreme point of S. Then d^=(1α)d(1)+αd(2) for some d(1),d(2)S where d(1)d(2) and α(0,1). Note that d(1) and d(2) are not collinear. Then d=c,d(1α)d(1)+c,dαd(2), so d is not an extreme direction of C. Hence, if d is an extreme direction of C, then d^ is an extreme point of S.

Let d be an extreme point of S. Then d0. Suppose d is not an extreme direction of C. Then d=αd(1)+βd(2), such that α>0, β>0, and d(1),d(2)C{0} such that d(1)/c,d(1)d(2)/c,d(2). Let d^(1)=d(1)/c,d(1) and d^(2)=d(2)/c,d(2). Then d^(1)d^(2) and d^(1),d^(2)S. Hence, we get d=(αc,d(1))d^(1)+(βc,d(2))d^(2). Since, 1=c,d=αc,d(1)+βc,d(2), we get that d is a strict convex combination of d^(1) and d^(2). Hence, d is not an extreme point of S, which is a contradiction. Hence, d is an extreme direction of C.

Dependency for:

  1. Representing point in pointed polyhedral cone

Info:

Transitive dependencies:

  1. /complex-numbers/conjugation-is-homomorphic
  2. Group
  3. Ring
  4. Field
  5. Vector Space
  6. Inner product space
  7. Inner product is anti-linear in second argument
  8. Cone
  9. Convex combination and convex hull
  10. Convex set
  11. Extreme point of a convex set
  12. Direction of a convex set and Recession cone
  13. Extreme directions of a convex set