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.
Use a bounded BV extension operator for the bounded Lipschitz domain. Extend to , supported in one fixed compact set, with . Such an extension is obtained by reflection in Lipschitz boundary charts, a partition of unity and a fixed cutoff function. A naive zero extension must also charge its boundary-trace jump; it cannot discard that contribution.
Let bound these norms and let be their mollifications. The BV mollification error estimate gives
The variation measure here is on . The printed lemma's needs this correction unless it also assumes all the derivative mass lies in : a nonconstant bump supported outside disproves its literal wording. The correct estimate follows by averaging the BV translation estimate over a mollifier supported in .
For each fixed , convolution gives uniform bounds
The mollifications have common compact support and are uniformly equicontinuous. The Arzelà-Ascoli theorem supplies a uniformly convergent subsequence at each scale . A diagonal subsequence converges at every one of those scales. For two late members of that subsequence,
First choose large , then late ; the sequence is a Cauchy sequence in . Its limit belongs to the BV space because the total variation seminorm on a domain is sequentially lower semicontinuous. Uniform derivative bounds and integration by parts give . Restriction to proves the required weak-star convergence in BV.
Apply the direct method in the calculus of variations to . Since , take a minimizing sequence with . Then
Thus the sequence is bounded in the bounded-variation space. The bounded-variation compactness gives a subsequence converging in the strong convergence sense in to . Boundedness of the linear operator gives strongly in , so the residual norm converges. The variation term is sequentially lower semicontinuous, hence
Therefore attains the infimum. The useful inverse hypothesis is the lower bound ; a bounded inverse on the range already suffices for this proof. No uniqueness follows from the nonsquared fidelity.

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