Recession cone

Set of vectors in convex analysis

In mathematics, especially convex analysis, the recession cone of a set A {\displaystyle A} is a cone containing all vectors such that A {\displaystyle A} recedes in that direction. That is, the set extends outward in all the directions given by the recession cone.[1]

Mathematical definition

Given a nonempty set A X {\displaystyle A\subset X} for some vector space X {\displaystyle X} , then the recession cone recc ( A ) {\displaystyle \operatorname {recc} (A)} is given by

recc ( A ) = { y X : x A , λ 0 : x + λ y A } . {\displaystyle \operatorname {recc} (A)=\{y\in X:\forall x\in A,\forall \lambda \geq 0:x+\lambda y\in A\}.} [2]

If A {\displaystyle A} is additionally a convex set then the recession cone can equivalently be defined by

recc ( A ) = { y X : x A : x + y A } . {\displaystyle \operatorname {recc} (A)=\{y\in X:\forall x\in A:x+y\in A\}.} [3]

If A {\displaystyle A} is a nonempty closed convex set then the recession cone can equivalently be defined as

recc ( A ) = t > 0 t ( A a ) {\displaystyle \operatorname {recc} (A)=\bigcap _{t>0}t(A-a)} for any choice of a A . {\displaystyle a\in A.} [3]

Properties

  • If A {\displaystyle A} is a nonempty set then 0 recc ( A ) {\displaystyle 0\in \operatorname {recc} (A)} .
  • If A {\displaystyle A} is a nonempty convex set then recc ( A ) {\displaystyle \operatorname {recc} (A)} is a convex cone.[3]
  • If A {\displaystyle A} is a nonempty closed convex subset of a finite-dimensional Hausdorff space (e.g. R d {\displaystyle \mathbb {R} ^{d}} ), then recc ( A ) = { 0 } {\displaystyle \operatorname {recc} (A)=\{0\}} if and only if A {\displaystyle A} is bounded.[1][3]
  • If A {\displaystyle A} is a nonempty set then A + recc ( A ) = A {\displaystyle A+\operatorname {recc} (A)=A} where the sum denotes Minkowski addition.

Relation to asymptotic cone

The asymptotic cone for C X {\displaystyle C\subseteq X} is defined by

C = { x X : ( t i ) i I ( 0 , ) , ( x i ) i I C : t i 0 , t i x i x } . {\displaystyle C_{\infty }=\{x\in X:\exists (t_{i})_{i\in I}\subset (0,\infty ),\exists (x_{i})_{i\in I}\subset C:t_{i}\to 0,t_{i}x_{i}\to x\}.} [4][5]

By the definition it can easily be shown that recc ( C ) C . {\displaystyle \operatorname {recc} (C)\subseteq C_{\infty }.} [4]

In a finite-dimensional space, then it can be shown that C = recc ( C ) {\displaystyle C_{\infty }=\operatorname {recc} (C)} if C {\displaystyle C} is nonempty, closed and convex.[5] In infinite-dimensional spaces, then the relation between asymptotic cones and recession cones is more complicated, with properties for their equivalence summarized in.[6]

Sum of closed sets

  • Dieudonné's theorem: Let nonempty closed convex sets A , B X {\displaystyle A,B\subset X} a locally convex space, if either A {\displaystyle A} or B {\displaystyle B} is locally compact and recc ( A ) recc ( B ) {\displaystyle \operatorname {recc} (A)\cap \operatorname {recc} (B)} is a linear subspace, then A B {\displaystyle A-B} is closed.[7][3]
  • Let nonempty closed convex sets A , B R d {\displaystyle A,B\subset \mathbb {R} ^{d}} such that for any y recc ( A ) { 0 } {\displaystyle y\in \operatorname {recc} (A)\backslash \{0\}} then y recc ( B ) {\displaystyle -y\not \in \operatorname {recc} (B)} , then A + B {\displaystyle A+B} is closed.[1][4]

See also

  • Barrier cone

References

  1. ^ a b c Rockafellar, R. Tyrrell (1997) [1970]. Convex Analysis. Princeton, NJ: Princeton University Press. pp. 60–76. ISBN 978-0-691-01586-6.
  2. ^ Borwein, Jonathan; Lewis, Adrian (2006). Convex Analysis and Nonlinear Optimization: Theory and Examples (2 ed.). Springer. ISBN 978-0-387-29570-1.
  3. ^ a b c d e Zălinescu, Constantin (2002). Convex analysis in general vector spaces. River Edge, NJ: World Scientific Publishing Co., Inc. pp. 6–7. ISBN 981-238-067-1. MR 1921556.
  4. ^ a b c Kim C. Border. "Sums of sets, etc" (PDF). Retrieved March 7, 2012.
  5. ^ a b Alfred Auslender; M. Teboulle (2003). Asymptotic cones and functions in optimization and variational inequalities. Springer. pp. 25–80. ISBN 978-0-387-95520-9.
  6. ^ Zălinescu, Constantin (1993). "Recession cones and asymptotically compact sets". Journal of Optimization Theory and Applications. 77 (1). Springer Netherlands: 209–220. doi:10.1007/bf00940787. ISSN 0022-3239. S2CID 122403313.
  7. ^ J. Dieudonné (1966). "Sur la séparation des ensembles convexes". Math. Ann.. 163: 1–3. doi:10.1007/BF02052480. S2CID 119742919.