The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity
lemmaAnalysislem:real-inner-product-metric-2026aThe triangle and reverse triangle inequalities, that d(x,y)=|x-y| is a metric, the algebra of limits, sequential continuity of the inner product and norm, the description of bounded sets, and Lipschitz continuity of the norm and of the maps x -> <x,z>.
Let be the ordered field of real numbers, with the notation of that item, and let be a real inner product space with inner product , norm , distance and zero vector , and let be the set of natural numbers. For a real number , is its absolute value, and is the metric on of The Absolute Value Metric on the Real Line. Convergence of a sequence in means convergence in the metric space of claim 3 below, and convergence of a sequence of real numbers is as in Limit of a Sequence of Real Numbers; claims 1, 2 and 3 do not involve convergence, and claims 4 to 7 presuppose claim 3. Then for all and all the following hold.
1. (Triangle inequality)¶ and .
2. (Reverse triangle inequality)¶ .
3. (Metric)¶ is a metric on , so that is a metric space; moreover and .
4. (Algebra of limits)¶ If and are sequences in converging to and to , then converges to , converges to and converges to ; and if is a sequence of real numbers converging to , then converges to .
5. (Continuity of the inner product and norm)¶ If and are sequences in converging to and to , then the sequences of real numbers and converge to and to ; in particular converges to .
6. (Bounded sets)¶ A subset is bounded in if and only if there is a real number with for every .
7. (Lipschitz maps)¶ The map is Lipschitz with constant from to , and the map is Lipschitz with constant from to .
Loading…
Prerequisites
No prerequisites tracked.
Dependents
No dependents yet.
Dependent proofs
No dependent proofs yet.
No relations recorded yet.