Definition 2.1. Let and be seminorms on . We say that and are equivalent if there exist two constants and such that . Note that this condition holds if and only if the seminorms and induce the same topology on the vector space ([Bou, Corollaire I.3.3.1])(note that the absolute value is supposed to be non-trivial).
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2.1.1. Basic constructions
Let be a vector space over . By seminorm on , we refer to a map such that for any and that for any . The couple is called a seminormed vector space over . If in addition takes positive values on , we say that is a norm on and that is a normed vector space. Denote by the inverse image of by . It can be shown that is a closed vector subspace of , called the null space of . Note that there exists a unique norm on , the composition of which with the projection map identifies with the seminorm . Call this norm the induced norm of .
Let be a seminormed vector space over . If the strong triangle inequality holds for the seminorm , namely for any , we say that the seminorm is ultrametric. Note that if a seminorm is ultra-metric, then the inequality becomes an equality whenever .
We say that a seminormed (resp. normed) vector space is complete, or is a complete seminorm (resp. complete norm) on , if any Cauchy sequence in with respect to the seminorm admits a limit. A complete normed vector space over is called a Banach space over . Any finite-dimensional normed space is complete. ([Bou, 1.2.3 Theorem 2])
Let be a seminormed vector space over . Let be the vector space of all Cauchy sequences in with respect to . We define a seminorm on which sends any Cauchy sequence to . Denote by the quotient vector space . Then the vector space equipped with the norm induced by forms a Banach space over , called the separated completion of . Tautologically it can be shown that this Banach space is canonically isomorphic to the completion of equipped with the quotient norm induced by the seminorm .
Definition 2.2. Let be a seminormed vector space over . If is a vector subspace of , then map defines a seminorm on , called the restriction of on . If is a quotient vector space of and is the quotient map, then the map defines a seminorm on , called the quotient of on .
Definition 2.3. Let and be seminormed vector spaces over , and be a -linear map. We say that is bounded if there exists a constant such that for any . Note that this condition holds if and only if is continuous with respect to the topologies on and induced by the seminorms and respectively. We say that is admissible if it is bounded and if on the image of , the quotient seminorm of and the restriction of are equivalent.
We recall below several fundamental results in functional analysis and refer to [Bou, Theorem 1.3.3.1, Corollary 1.3.3.1, 1.3.3.2, 1.3.3.5] for more details.
Theorem 2.4. Let and be Banach spaces over , and be a -linear map.
- (1)
The -linear map is bounded if and only if its graph in is closed under the product topology.
- (2)
Assume that is bounded and surjective, then is an open map. In particular, the quotient norm of on is equivalent to .
- (3)
Assume that is bounded and injective, then is closed in .
Theorem 2.5. Let be a vector space over and and be complete norms on . If there exists such that , then the norms and are equivalent.
Using this norm equivalence theorem for Banach spaces over , we have immediately the following
Corollary 2.6. Let and be Banach spaces over , and be a bounded -linear map with closed image. Then is admissible.
Definition 2.7. Let be a finite-dimensional normed vector space. The dual norm of on the dual vector space is defined by
Remark 2.8. The norm is ultrametric, and if and only if is ultrametric. ([CMor18, Section 2.2.3])
Definition 2.9. Let be a normed vector space. Let be a complete valued field extension of . Set to be , which can be identified with . The norm
defined via this identification is called the scalar extension of .
Remark 2.10. If is ultrametric, then is the largest ultrametric norm on extending . ([CMor18, Definition 2.4])
Lemma 2.11. Let be a surjective -linear map of finite-dimensional vector spaces, with . Let be a norm on and let be its quotient norm for . Then the norm identifies with the quotient norm of induced by the surjective -linear map . ([CMor18, Lemma 2.5])