Proper convex function

In mathematical analysis, in particular the subfields of convex analysis and optimization, a proper convex function is an extended real-valued convex function with a non-empty domain, that never takes on the value and also is not identically equal to

Definitions

A convex function taking values in the extended real number line is called proper if there exists some point in its domain such that

and also

for every That is, a convex function is proper if its effective domain is nonempty and it never attains .[1] This means that there exists some at which and is also never equal to Convex functions that are not proper are called improper convex functions.[2]

A proper concave function is any function such that is a proper convex function.

Properties

For every proper convex function there exist some and such that

for every

The sum of two proper convex functions is convex, but not necessarily proper.[3] For instance if the sets and are non-empty convex sets in the vector space then the characteristic functions and are proper convex functions, but if then is identically equal to

The infimal convolution of two proper convex functions is convex but not necessarily proper convex.[4]

See also

Citations

  1. Aliprantis, C.D.; Border, K.C. (2007). Infinite Dimensional Analysis: A Hitchhiker's Guide (3 ed.). Springer. p. 254. doi:10.1007/3-540-29587-9. ISBN 978-3-540-32696-0.
  2. Rockafellar, R. Tyrrell (1997) [1970]. Convex Analysis. Princeton, NJ: Princeton University Press. p. 24. ISBN 978-0-691-01586-6.
  3. Boyd, Stephen (2004). Convex Optimization. Cambridge, UK: Cambridge University Press. p. 79. ISBN 978-0-521-83378-3.
  4. Ioffe, Aleksandr Davidovich; Tikhomirov, Vladimir Mikhaĭlovich (2009), Theory of extremal problems, Studies in Mathematics and its Applications, 6, North-Holland, p. 168, ISBN 9780080875279.

References

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