Definition:C^k Norm
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Definition
Let $f \in \map {C^k} \R$ be a function of differentiability class $k$.
Then the $C^k$ norm of $f$ is defined as:
- $\ds \norm f_{\map {C^k} \R} := \sum_{i \mathop = 0}^k \sup_{x \mathop \in \R} \size {\map {f^{\paren i} } x} = \sum_{i \mathop = 0}^k \norm {f^{\paren i} }_\infty$
where:
- $f^{\paren i}$ denotes the $i$-th derivative with respect to $x$
- $\norm {\, \cdot \,}_\infty$ denotes the supremum norm.
Also denoted as
- $\norm {\, \cdot \,}_{\map {C^k} \R}$
can be seen written as
- $\norm {\, \cdot \,}_{k, \infty}$
Also see
Sources
- 2017: Amol Sasane: A Friendly Approach to Functional Analysis ... (previous) ... (next): Chapter $1.1$: Normed and Banach spaces. Vector Spaces