9789048165520 - Young Measures on Topological Spaces: With Applications in Control Theory and Probability Theory: 571 di Castaing, Charles; Raynaud De Fitte, Paul; Valadier, Michel... (13 risultati)

Soft cover. Condizione: New. BRAND NEW softcover. Book.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 331 pages. 9.00x6.00x0.76 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware -Classicalexamples of moreand more oscillatingrealævalued 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 ].Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.

Taschenbuch. Condizione: Neu. Young Measures on Topological Spaces | With Applications in Control Theory and Probability Theory | Charles Castaing (u. a.) | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9789048165520 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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 ].

Condizione: new. Questo č un articolo print on demand.

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. 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 (.