Weak-star convergence in BV
ID: weak-star-convergence-in-bv
Convergence in the displayed sense combines strong function convergence with weak-star convergence of derivative vector measures against tests. Strong convergence and a uniform variation bound imply the derivative convergence by integration by parts and uniform test-function approximation. Conversely the Uniform boundedness principle bounds the derivative measures of a convergent sequence.
New to topics? Read the docs here!