The bounded-variation space carries the norm . Its weak-star convergence in BV is characterized by
The second condition means convergence of the vector measure pairings against every . Equivalently, strong convergence in together with suffices: integration by parts identifies the limit on smooth compactly supported tests, and uniform approximation extends this to tests.
The bounded-variation compactness theorem says that
guarantees a subsequence convergent in weak-star convergence in BV on a bounded Lipschitz domain. This is the uniform criterion for relative sequential compactness. If asking only for the existence of one convergent subsequence, the exact condition is the existence of a BV-bounded subsequence, equivalently . The entire sequence need not be bounded: alternating zero functions and constants tending to infinity gives a simple example. Conversely, a convergent subsequence has bounded norm and bounded total variation seminorm by the Uniform boundedness principle for its derivative-measure pairings.

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