Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm
definitionAnalysisLinear Algebradef:bounded-linear-map-inner-product-2026aDefines bounded linear maps between real inner product spaces, the spaces L(E,F) and L(E), the operator norm as an infimum, and bounded linear functionals with their norm.
Let be the ordered field of real numbers, with the notation of that item, and let and be real inner product spaces with norms and in the ambient notation, let be the zero vector of , and for a real number let be its absolute value.
1. (Bounded linear maps)¶ A linear map is bounded if there is a real number such that for every . We write for the set of all bounded linear maps from to and for . We write for the identity map , .
2. (Operator norm)¶ Let and let be the set of real numbers with such that for every . The set is nonempty: if is as in clause 1 and then , while if then, by claim 5 of Elementary Arithmetic in an Ordered Field applied to with a nonnegative multiplier, for every , so . It is bounded below by , so by Existence of the Infimum of a Nonempty Subset of Bounded Below it has a greatest lower bound. The operator norm of is
3. (Bounded linear functionals)¶ A linear functional on is a map with and for all and . It is bounded if there is a real number with for every . For a bounded linear functional the set of real numbers with and for every is nonempty and bounded below by , by the argument of clause 2 with in place of , and the norm of is .
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