Elementary Properties of Bounded Linear Maps and Functionals on Real Inner Product Spaces
lemmaAnalysisLinear Algebralem:bounded-linear-map-properties-2026aThe operator norm bounds |Tx| by ||T|| |x| and is a supremum over the unit ball; boundedness is equivalent to Lipschitz continuity and to continuity; L(E,F) is a vector space with a norm; composition is submultiplicative; kernels are closed; and x -> <x,z> is a bounded functional of norm |z|.
Let be the ordered field of real numbers, with the notation of that item, whose order is in particular a total order, and for let be its absolute value. Let , and be real inner product spaces, with inner products, norms and distances in the ambient notation; each distance is a metric by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §metric. Let be the set of bounded linear maps from to , with the identity map of as in that clause, let be the operator norm, let and be the zero vectors, and let be the metric on of The Absolute Value Metric on the Real Line. For maps and , and denote the maps and . Then the following hold.
1. (Norm bound)¶ For and , ; and if is a real number with and for every , then .
2. (Supremum formula)¶ For , is the least upper bound of the set .
3. (Boundedness, Lipschitz continuity and continuity)¶ For a linear map the following are equivalent: is bounded; is Lipschitz from to ; is continuous on ; is continuous at relative to . When is bounded it is Lipschitz with constant .
4. (Vector space and norm)¶ If and , then and , with and ; if and only if for every ; and with these operations is a vector space over , with zero vector the map .
5. (Composition)¶ If and , then the composition belongs to and . Moreover , and whenever .
6. (Kernel)¶ For the set is a closed linear subspace of .
7. (The real line as an inner product space)¶ The field , with its addition as vector addition and its multiplication as scalar multiplication, is a vector space over , and is an inner product on it; the resulting real inner product space, again denoted , has norm (the absolute value) and distance . A linear functional on is the same thing as a linear map from to this space; it is bounded as a functional if and only if it is bounded as a linear map , and then its norm as a functional equals its operator norm.
8. (Functionals)¶ Claims 1, 2, 3 and 6 hold for bounded linear functionals on , with in place of , in place of , in place of and . Moreover, for every the map is a bounded linear functional on with norm .
Loading…
Prerequisites
No prerequisites tracked.
Dependents
No dependents yet.
Dependent proofs
No dependent proofs yet.
No relations recorded yet.