TOPICS
Search

Variational Inequality


Let K be a nonempty closed convex set in a Hilbert space H, let A be an operator, and let f in H. A variational inequality asks for u in K such that

 <Au-f,v-u>>=0

for every v in K. When A is the gradient of a convex functional, this condition characterizes an associated constrained minimization problem. Obstacle problems for partial differential equations are an important class of variational inequalities. In particular, the value of an American option can be characterized by a variational inequality whose contact set is the exercise region and whose interface is the boundary in a free boundary problem.


See also

American Option, Convex Set, Free Boundary Problem, Hilbert Space, Optimal Stopping, Partial Differential Equation

Explore with Wolfram|Alpha

References

Kinderlehrer, D. and Stampacchia, G. An Introduction to Variational Inequalities and Their Applications. Philadelphia, PA: SIAM, 2000. https://doi.org/10.1137/1.9780898719451.Lions, J.-L. and Stampacchia, G. "Variational Inequalities." Comm. Pure Appl. Math. 20, 493-519, 1967. https://doi.org/10.1002/cpa.3160200302.

Cite this as:

Weisstein, Eric W. "Variational Inequality." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/VariationalInequality.html

Subject classifications