Isbn: 9789048165520 - young measures on topological spaces: with applications in control theory and probability theory: 571 (14 risultati)

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Classicalexamples of moreand more oscillatingreal valued functions on a domain N of R are the functions u (x)=sin(nx)with x=(x .,x ) or the so-called n 1 1 n n+1 Rademacherfunctionson]0,1[,u (x)=r (x) = sgn(sin(2 x))(seelater3.1.4). n n They may appear as the gradients v of minimizing sequences (v ) in some n n n N variationalproblems. Intheseexamples,thefunctionu convergesinsomesenseto n ameasure µ on ×R, called Young measure. In Functional Analysis formulation, this is the narrow convergence to µ of the image of the Lebesgue measure on by ( ,u ( )). In the disintegrated form (µ ) ,the parametrized measure µ n captures the possible scattering of the u around . n Curiously if (X ) is a sequence of random variables deriving from indep- n n N dent ones, the n-th one may appear more and more far from the k rst ones as 2 if it was oscillating (think of orthonormal vectors in L which converge weakly to 0). More precisely when the laws L(X ) narrowly converge to some probability n measure , it often happens that for any k and any A in the algebra generated by X .,X , the conditional law L(X A) still converges to (see Chapter 9) 1 k n which means 1 C (R) (X ( ))dP( ) d b n P(A) A R or equivalently, denoting the image of P by ( ,X ( )), n X n (1l )d (1l )d[P ].…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Classicalexamples of moreand more oscillatingreal valued functions on a domain N of R are the functions u (x)=sin(nx)with x=(x .,x ) or the so-called n 1 1 n n+1 Rademacherfunctionson]0,1[,u (x)=r (x) = sgn(sin(2 x))(seelater3.1.4). n n They may appear as the gradients v of minimizing sequences (v ) in some n n n N variationalproblems. Intheseexamples,thefunctionu convergesinsomesenseto n ameasure µ on ×R, called Young measure. In Functional Analysis formulation, this is the narrow convergence to µ of the image of the Lebesgue measure on by ( ,u ( )). In the disintegrated form (µ ) ,the parametrized measure µ n captures the possible scattering of the u around . n Curiously if (X ) is a sequence of random variables deriving from indep- n n N dent ones, the n-th one may appear more and more far from the k rst ones as 2 if it was oscillating (think of orthonormal vectors in L which converge weakly to 0). More precisely when the laws L(X ) narrowly converge to some probability n measure , it often happens that for any k and any A in the algebra generated by X .,X , the conditional law L(X A) still converges to (see Chapter 9) 1 k n which means 1 C (R) (X ( ))dP( ) d b n P(A) A R or equivalently, denoting the image of P by ( ,X ( )), n X n (1l )d (1l )d[P ]. 336 pp. Englisch. …

Condizione: New. Print on Demand pp. 336 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a unified presentation of the theory, together with new results and applications in various fieldsPreface. Generalities, Preliminary results. Young Measures, the four Stable Topologies: S, M, N, W. Convergence in Probability of Young Measures (.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Generalities, preliminary results.- Young measures, the four stable topologies: S, M, N, W.- Convergence in probability of Young measures (with some applications to stable convergence).- Compactness.- Strong tightness.- Young measures on Banach spaces. Applications.- Applications in Control Theory.- Semicontinuity of integral functionals using Young measures.- Stable convergence in limit theorems of probability theory.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 336 pp. Englisch. …