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subdifferentiable mapping
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(Definition)
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Let $X$ be a Banach space, and let $X^*$ be the dual space of $X$ . For a function $f \colon X \rightarrow \mathbb{R}$ , and $x\in X$ , let us define $$ \partial f(x) = \{r^* \in X^* \; : f(x) - f(y) \leq r^\ast(x - y) \; \ \mbox{for all} \ y \in X\}. $$ If $\partial f(x)$ is non-empty, then $f$ is subdifferentiable at $x \in X$ , and if $\partial f(x)$ is non-empty for all $x$ , then
$f$ is subdifferentiable [1,2].
- 1
- C. Zalinescu, Convex Analysis in General Vector Spaces, World Scientific Publishing Company, 2002.
- 2
- R.T. Rockafellar, Convex Analysis, Princeton University Press, 1996.
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"subdifferentiable mapping" is owned by matte. [ full author list (2) | owner history (1) ]
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Cross-references: function, dual space, Banach space
There is 1 reference to this entry.
This is version 10 of subdifferentiable mapping, born on 2004-08-03, modified 2006-10-15.
Object id is 6063, canonical name is SubDifferentiableMapping.
Accessed 1567 times total.
Classification:
| AMS MSC: | 52-00 (Convex and discrete geometry :: General reference works ) | | | 39B62 (Difference and functional equations :: Functional equations and inequalities :: Functional inequalities, including subadditivity, convexity, etc.) |
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Pending Errata and Addenda
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