where \(|u|_BV(\Omega)\) is the total variation of \(u\) defined as:
∣∣ u ∣ ∣ W k , p ( Ω ) = ( ∑ ∣ α ∣ ≤ k ∣∣ D α u ∣ ∣ L p ( Ω ) p ) p 1 where \(|u|_BV(\Omega)\) is the total variation of \(u\)
− Δ u = f in Ω
Variational analysis in Sobolev and BV spaces has several applications in PDEs and optimization. For example, consider the following PDE: where \(|u|_BV(\Omega)\) is the total variation of \(u\)
$$-\Delta u = g \quad \textin \quad \Omega where \(|u|_BV(\Omega)\) is the total variation of \(u\)
subject to the constraint:
Sobolev spaces are a class of function spaces that play a crucial role in the study of PDEs and optimization problems. These spaces are defined as follows: