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In mathematical analysis, a Young measure is a parameterized measure that is associated with certain subsequences of a given bounded sequence of measurable functions. Young measures have applications in the calculus of variations and the study of nonlinear partial differential equations. They are named after Laurence Chisholm Young.

Definition

We let {fk}k=1 be a bounded sequence in L(U,m), where U denotes an open bounded subset of n. Then there exists a subsequence {fkj}j=1{fk}k=1 and for almost every xU a Borel probability measure νx on m such that for each FC(m) we have F(fkj)mF(y)dν(y) in L(U). The measures νx are called the Young measures generated by the sequence {fk}k=1.

Example

Every minimizing sequence of I(u)=01(ux21)2+u2dx subject to u(0)=u(1)=0 generates the Young measures νx=12δ1+12δ1.

This captures the essential features of all minimizing sequences to this problem, namely developing finer and finer slopes of ±1.

References

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