For an open set and , the first-order Sobolev space iswhere each is a weak derivative. Its standard norm is .
For a Sobolev space function, almost every line parallel to a coordinate axis gives an absolutely continuous restriction. An absolutely continuous function has derivative zero almost everywhere on each of its level sets. Slicing and Fubini's theorem give the assertion in higher dimension. If , apply it to and then to each component of its gradient to get almost everywhere on . This supplies the contact differentiation used in noncontact of ROF level boundaries.
On a connected open set, a Sobolev space function with zero weak gradient is constant almost everywhere. Local mollification gives constant smooth representatives on interior balls; overlaps and connectedness identify their constants. Without connectedness, the constant may differ between components. This explains the constant ambiguity in a Neumann Poisson problem.
The H1 space is the first-order Sobolev space whose elements and first weak derivatives belong to L2 space. It is a Hilbert space with inner product given by the sum of the L2 inner products of the functions and of their first weak derivatives.
For , its difference quotient equals in L2 space. Thus , and translation of a function gives in L2 space. Conversely, bounded difference quotients have a weakly convergent subsequence as . Against a test function, , so that weak limit is the weak derivative of . It lies in L2 space, which is precisely the first-order Sobolev space condition.
The zero-boundary Sobolev space is the closure of the space of test functions in . Under standard regularity assumptions its elements have zero boundary trace.
On a nonempty bounded domain where the Poincaré inequality holds, no can satisfy almost everywhere. For , Lipschitz truncation preserves zero-boundary Sobolev spaces, so . But would be the nonzero constant , whose zero gradient contradicts the Poincaré inequality. In a uniformly elliptic divergence-form elliptic operator, the homogeneous boundary condition belongs to the unknown and test functions, not to a coefficient bounded below by a positive constant.
If and is Lipschitz continuous with , then . The Lipschitz version of the Sobolev chain rule controls its weak derivatives, and its boundary trace is . Equivalently, approximate by compactly supported smooth functions, apply the derivative bound to their compositions, and pass weakly in and strongly in . The closed linear space is weakly closed. This allows positive-part and bounded truncations in weak formulations without losing the Dirichlet boundary condition.
On a domain , a common normalization of the Dirichlet inner product isThe Poincaré inequality makes its induced seminorm a norm on .
For a conformal bijection and smooth of compact support on , . The Jacobian matrix of is a rotation times . Consequently the chain rule introduces into the gradient pairing, while the change of variables formula introduces precisely the same factor into area. They cancel. The identity extends by completion to the Dirichlet energy spaces; it does not preserve the term of an inhomogeneous Sobolev norm.
For planar Gaussian free field theory, this is the completion of real test functions in the norm induced by the Dirichlet inner product, . On a general unbounded domain this convention must be distinguished from completion in the inhomogeneous norm. A conformal map identifies its energy norm with that on the unit disc by conformal invariance.
Let be open. Regard as functions on by zero extension of H01, and let consist of the weakly harmonic Sobolev functions on belonging to . For , the Dirichlet inner product vanishes for each test function supported in . Approximate any by those test functions in the gradient norm and use the Cauchy-Schwarz inequality. This gives . The proof also works with the inhomogeneous zero-boundary Sobolev space convention, and with a homogeneous completion realized as weak functions.
Every element of for has an absolutely continuous representative. Its ordinary derivative exists almost everywhere, equals its weak derivative, and belongs to .
On , a first-order Sobolev space function has a continuous representative and obeysBound the average by the Cauchy-Schwarz inequality and average the identity . This also gives . A unit constant with the standard Sobolev norm cannot be asserted on arbitrary interval lengths: already disproves it when .
For every open set , smooth functions in are dense in for . Near a flat boundary, one may first translate the function into the domain and then apply a mollifier.
By the definition of as the closure of , extending a function by zero outside gives a bounded map into and does not create a boundary distribution.
A Sobolev extension operator is a bounded linear map whose restriction to is the original function. For a half-space, reflection across the boundary gives such an operator.
For , the formula defines a bounded Sobolev extension operator. Its weak normal derivative changes sign across the boundary, while its tangential weak derivatives are reflected unchanged.
The odd reflection of a function on a half-space is . When has zero trace on the boundary, this extension preserves the relevant weak regularity and often converts a homogeneous boundary problem into an interior problem.
A function is absolutely continuous exactly when there is a function such thatThen is differentiable almost everywhere and almost everywhere.
For a continuous function on , let be its dyadic slope martingale. Then is an absolutely continuous function if and only ifThis is exactly uniform integrability. The uniformly integrable martingale convergence theorem gives convergence in L1 , while their integrated linear interpolations converge uniformly to . Hence . Conversely, if has density , its slopes are , and the uniform integrability of conditional expectations proves the criterion. The dyadic tail integral is also the sum of the absolute endpoint increments in cells whose slope is at least in magnitude.
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