[PDF][PDF] A refinement of Ball's theorem on Young measures
N Hungerbühler - New York J. Math, 1997 - emis.de
New York J. Math, 1997•emis.de
For a sequence uj: Ω⊂ Rn→ Rm generating the Young measure νx, x∈ Ω, Ball's Theorem
asserts that a tightness condition preventing mass in the target from escaping to infinity
implies that νx is a probability measure and that f (uk)⇀(νx, f) in L1 provided the sequence is
equiintegrable. Here we show that Ball's tightness condition is necessary for the conclusions
to hold and that in fact all three, the tightness condition, the assertion" νx"= 1, and the
convergence conclusion, are equivalent. We give some simple applications of this …
asserts that a tightness condition preventing mass in the target from escaping to infinity
implies that νx is a probability measure and that f (uk)⇀(νx, f) in L1 provided the sequence is
equiintegrable. Here we show that Ball's tightness condition is necessary for the conclusions
to hold and that in fact all three, the tightness condition, the assertion" νx"= 1, and the
convergence conclusion, are equivalent. We give some simple applications of this …
Abstract
For a sequence uj: Ω⊂ Rn→ Rm generating the Young measure νx, x∈ Ω, Ball’s Theorem asserts that a tightness condition preventing mass in the target from escaping to infinity implies that νx is a probability measure and that f (uk)⇀(νx, f) in L1 provided the sequence is equiintegrable. Here we show that Ball’s tightness condition is necessary for the conclusions to hold and that in fact all three, the tightness condition, the assertion" νx"= 1, and the convergence conclusion, are equivalent. We give some simple applications of this observation.
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