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Contingent Cone


The contingent cone K_S(x) at a point x in S of a subset S subset= R^n is the set

 K_S(x)={h:d_S^-(x;h)=0},
(1)

where d_S^- is the lower right directional Dini derivative

 d_S^-(x;h)=liminf_(tv0)(d_S(x+th)-d_S(x))/t,
(2)

and d_S is the distance function

 d_S(x)=inf{||y-x||:y in S}.
(3)

A classical result in convex analysis characterizes K_S(x) as the collection of vectors h in R^n for which there are sequences t_rv0 of positive real numbers and h^r->h in R^n such that x+t_rh^r lies in S for all r (Borwein and Lewis 2006, p. 138). Intuitively, the contingent cone K_S(x) consists of limits of directions to points near x in S.


See also

Dini Derivative, Direction, Pseudo-Tangent Cone, Vector

Portions of this entry contributed by Christopher Stover

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References

Borwein, J. and Lewis, A. Convex Analysis and Nonlinear Optimization: Theory and Examples, 2nd ed. New York: Springer Science+Business Media, 2006.

Referenced on Wolfram|Alpha

Contingent Cone

Cite this as:

Weisstein, Eric W., with contributions by Christopher Stover. "Contingent Cone." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/ContingentCone.html

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