Espace de HardyLes espaces de Hardy, dans le domaine mathématique de l'analyse fonctionnelle, sont des espaces de fonctions analytiques sur le disque unité D du plan complexe. Soit f une fonction holomorphe sur D, on sait que f admet un développement en série de Taylor en 0 sur le disque unité : On dit alors que f est dans l'espace de Hardy H(D) si la suite appartient à l. Autrement dit, on a : On définit alors la norme de f par : La fonction appartient à H(D), par convergence de la série (série de Riemann convergente).
Formule sommatoire de PoissonLa formule sommatoire de Poisson (parfois appelée resommation de Poisson) est une identité entre deux sommes infinies, la première construite avec une fonction , la seconde avec sa transformée de Fourier . Ici, f est une fonction sur la droite réelle ou plus généralement sur un espace euclidien. La formule a été découverte par Siméon Denis Poisson. Elle, et ses généralisations, sont importantes dans plusieurs domaines des mathématiques, dont la théorie des nombres, l'analyse harmonique, et la géométrie riemannienne.
Projective tensor productIn functional analysis, an area of mathematics, the projective tensor product of two locally convex topological vector spaces is a natural topological vector space structure on their tensor product. Namely, given locally convex topological vector spaces and , the projective topology, or π-topology, on is the strongest topology which makes a locally convex topological vector space such that the canonical map (from to ) is continuous. When equipped with this topology, is denoted and called the projective tensor product of and .
Injective tensor productIn mathematics, the injective tensor product of two topological vector spaces (TVSs) was introduced by Alexander Grothendieck and was used by him to define nuclear spaces. An injective tensor product is in general not necessarily complete, so its completion is called the . Injective tensor products have applications outside of nuclear spaces.
Polar topologyIn functional analysis and related areas of mathematics a polar topology, topology of -convergence or topology of uniform convergence on the sets of is a method to define locally convex topologies on the vector spaces of a pairing.
Mackey spaceIn mathematics, particularly in functional analysis, a Mackey space is a locally convex topological vector space X such that the topology of X coincides with the Mackey topology τ(X,X′), the finest topology which still preserves the continuous dual. They are named after George Mackey. Examples of locally convex spaces that are Mackey spaces include: All barrelled spaces and more generally all infrabarreled spaces Hence in particular all bornological spaces and reflexive spaces All metrizable spaces.
Mesure de DiracIn mathematics, a Dirac measure assigns a size to a set based solely on whether it contains a fixed element x or not. It is one way of formalizing the idea of the Dirac delta function, an important tool in physics and other technical fields. A Dirac measure is a measure δx on a set X (with any σ-algebra of subsets of X) defined for a given x ∈ X and any (measurable) set A ⊆ X by where 1A is the indicator function of A. The Dirac measure is a probability measure, and in terms of probability it represents the almost sure outcome x in the sample space X.
Analyse algébriqueL'analyse algébrique est un domaine des mathématiques qui traite des systèmes d'équations aux dérivées partielles linéaires en utilisant la théorie des préfaisceaux et l'analyse complexe pour étudier les propriétés et les généralisations de fonctions telles que les hyperfonctions et les microfonctions. Cette branche des mathématiques est fondée sur les idées d'Alexandre Grothendieck, puis développée par Mikio Satō, Masaki Kashiwara et, pour ce qui concerne les systèmes d'équations différentielles, Bernard Malgrange.
Vanish at infinityIn mathematics, a function is said to vanish at infinity if its values approach 0 as the input grows without bounds. There are two different ways to define this with one definition applying to functions defined on normed vector spaces and the other applying to functions defined on locally compact spaces. Aside from this difference, both of these notions correspond to the intuitive notion of adding a point at infinity, and requiring the values of the function to get arbitrarily close to zero as one approaches it.
Spaces of test functions and distributionsIn mathematical analysis, the spaces of test functions and distributions are topological vector spaces (TVSs) that are used in the definition and application of distributions. Test functions are usually infinitely differentiable complex-valued (or sometimes real-valued) functions on a non-empty open subset that have compact support. The space of all test functions, denoted by is endowed with a certain topology, called the , that makes into a complete Hausdorff locally convex TVS.
