Displaying similar documents to “Convergencias en G(H).”

L y L*-convergencias en G(H).

M.ª Carmen de las Obras Loscertales y Nasarre (1981)

Revista Matemática Hispanoamericana

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Given a real separable Hilbert space H, we denote with G(H) the geometry of closed linear subspaces of H. The strong convergence of sequences of subspaces is shown to be a L*-convergence and the weak convergence a L-convergence. The smallest L*-convergence containing the weak convergence is found, and the orthogonal image of the strong convergence, which is also a L*-convergence, is defined.

Nuevas convergencias en G(H).

M.ª Carmen de las Obras Loscertales y Nasarre (1981)

Stochastica

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Two new convergences of closed linear subspaces in the real separable Hilbert space are defined. These are the uniform strong convergence and the simultaneously strong and weak convergence to a single limit. Both convergences are characterized and it is shown that they verify the three axioms of Fréchet.

Sobre relativización de convergencias en G(H).

M.ª Carmen de las Obras Loscertales y Nasarre (1984)

Stochastica

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Given a real separable Hilbert space H, G(H) denotes the Geometry of the closed linear subspaces of H, S = {E | n belonging to N} a sequence of G(H) and [E] the closed linear hull of E. The weak, strong and other convergences in G(H) were defined and characterized in previous papers. Now we study the convergence of sequences {E ∩ F | n belonging to N} when {E} is a convergent sequence and F is a subspace of G(H), and we show that these convergences hold, if this intersection exists....

Medidas de centralización multidimensionales (ley fuerte de los grandes números).

Juan Antonio Cuesta Albertos (1984)

Trabajos de Estadística e Investigación Operativa

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En este trabajo definimos una medida de centralización multidimensional para vectores aleatorios como el valor del parámetro para el que se alcanza el mínimo de las integrales de ciertas funciones. Estudiamos su relación con otras medidas de centralización multidimensionales conocidas. Finalizamos demostrando la Ley Fuerte de los Grandes Números, tanto para la medida de centralización definida como para la de dispersión asociada.

Un teorema de convergencia con aplicación a la inferencia bayesiana.

Eusebio Gómez Sánchez-Manzano (1986)

Trabajos de Estadística

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A theorem is proved showing that, assuming some boundary conditions, the following hypotheses: 1. {Xn} is a sequence of continuous random variables which approaches in probability to a numerical sequence {an}, 2. {Yn} is another sequence of random variables such that, for all n, the density function of Yn is proportional to the product of the density of Xn...

Conservación de convergencias en G(H) por un operador lineal.

M.ª Carmen de las Obras Loscertales y Nasarre (1986)

Stochastica

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Given a real separable Hilbert space H, we denote with S = {E(n) | n belongs to N} a sequence of closed linear subspaces of H. In previous papers, the strong, weak, a--> and b--> convergences are defined and characterized. Now, given a sequence S with strong, weak, a--> or b--> limit, and a linear operator of H, A, the sequence AS is studied.