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Forme linéaire
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Absolutely convex set
In mathematics, a subset C of a real or complex vector space is said to be absolutely convex or disked if it is convex and balanced (some people use the term "circled" instead of "balanced"), in which case it is called a disk. The disked hull or the absolute convex hull of a set is the intersection of all disks containing that set. A subset of a real or complex vector space is called a and is said to be , , and if any of the following equivalent conditions is satisfied: is a convex and balanced set.
Strong operator topology
In functional analysis, a branch of mathematics, the strong operator topology, often abbreviated SOT, is the locally convex topology on the set of bounded operators on a Hilbert space H induced by the seminorms of the form , as x varies in H. Equivalently, it is the coarsest topology such that, for each fixed x in H, the evaluation map (taking values in H) is continuous in T. The equivalence of these two definitions can be seen by observing that a subbase for both topologies is given by the sets (where T0 is any bounded operator on H, x is any vector and ε is any positive real number).
Codimension
La codimension est une notion de géométrie, rencontrée en algèbre linéaire, en géométrie différentielle et en géométrie algébrique. C'est une mesure de la différence de tailles entre un espace et un sous-espace. La codimension dans un espace vectoriel E d'un sous-espace vectoriel F est la dimension de l'espace vectoriel quotient E/F : Cette codimension est aussi égale à la dimension de n'importe quel supplémentaire de F dans E car tous sont isomorphes à E/F. Il résulte de la définition que F = E si et seulement si codim(F) = 0.