On the vector space of nodal values with zero endpoints define the discrete Sobolev normIt is a norm because it is the Euclidean norm of the scaled list of nodal values and first finite differences, and vanishes only for the zero list. It is the discrete counterpart of the Sobolev space norm. Here has zero endpoints, so this definition applies directly.
Set , finite by the assumed continuity. Taylor's theorem with fourth-order remainders gives, for suitable and ,Adding the two expansions cancels the odd derivatives, soConsequently . Doubling the bound in (c) gives , and thereforeThus is a valid nonnegative constant. To satisfy the request for a strictly positive constant even when , take , independent of . This proves second-order convergence of a numerical method in a discrete Sobolev norm, including control of the backward difference operator applied to the error.
The first weak derivative is characterized by for every . The fundamental lemma of the calculus of variations in the locally integrable form says that a function pairing to zero with every such test is zero almost everywhere. Applied to the difference of two candidate derivatives, it proves uniqueness. The Sobolev space consists of with all first weak derivatives in , with normFor the one-dimensional tent, integration by parts on each side of one has cancelling junction terms because the function is continuous. Thus on and on , almost everywhere. Both it and its derivative are bounded, so it belongs to every stated Sobolev space; its displayed norm to the power is .
For in the punctured ball, ordinary differentiation givesThe function is bounded and , so polar integration gives finite derivative norms when , namely . To verify these are weak derivatives across the origin, integrate by parts outside a ball of radius against a compactly supported smooth test. The inner boundary term is at most a fixed constant times , since is bounded. It tends to zero for . The volume terms converge by local integrability of the displayed derivative. Thus for with exactly these derivatives. Its value at the origin can be chosen arbitrarily.
Periodic elliptic estimate Created 2026-09-24 Updated 2026-09-24
If a periodic function has zero mean, its nonzero Fourier frequencies giveThus inversion of the Laplacian on mean-zero periodic functions gains two Sobolev derivatives.
In three dimensions let have compact support. Let solve and extend it by zero. There is a unique with for all . Indeed Holder inequality and the homogeneous Sobolev inequality make the right side a continuous linear functional in the gradient norm, and the Riesz representation theorem applies to this Hilbert space.
The weak formulation says that is the orthogonal projection of onto the closed subspace consisting of zero extensions of . These subspaces increase with and their union contains every test function, which is dense by the definition of the homogeneous Sobolev space. The best-approximation property of orthogonal projection therefore gives . The homogeneous Sobolev inequality also gives . This convergence does not generally extend to the inhomogeneous Sobolev space , as the spherical mean of a Poisson solution outside its source shows for a source of nonzero total mass.
Radial derivative 2026-10-25
Away from the origin, the radial derivative is the directional derivative along the outward radial unit vector. For a Sobolev space function it is the same scalar product with the weak gradient, defined almost everywhere. On an annulus, it has no singular direction at the origin.
Radial Sobolev profile on an annulus Created 2026-10-25 Updated 2026-10-31
Let and . A radial function in has a radial profile in ; its first weak derivative is the profile of the radial derivative. To see the identity, sum the weak derivative tests against the components of to obtain . Substitute for arbitrary . The weighted Lp norms and give the displayed bound. Radiality of the radial derivative follows by applying a rotation to the weak derivative identity: if , then almost everywhere, so the radial scalar product is invariant.
For , the one-dimensional Sobolev representative obeys . The reverse triangle inequality transfers this to , giving a continuous embedding of this radial Sobolev space into on the annulus. The two Hölder seminorms are equal: one inequality follows from , and the reverse follows by putting both points on the same ray. The restriction is essential for the unweighted profile bound.
Range of the Volterra integration operator 2026-10-06
For on the Hilbert space , every image has a weak derivative and zero trace at zero. Conversely every such Sobolev space element is this integral of its weak derivative. The range is dense because it contains smooth functions supported in , but it is not closed: a step function can be approximated in by continuous ramps and is not itself in . The Moore–Penrose inverse of an operator has this range as its domain and differentiates there.
A real-linear Cauchy–Riemann operator on a complex rank- vector bundle over a closed genus- Riemann surface is a Fredholm operator between the usual Sobolev spaces and has the displayed index. Zero-order real-linear terms do not change this index, since they form a continuous deformation of Fredholm operators. For the bundle pulled back by a sphere, subtracting the six-dimensional reparametrization group gives the dimension formula for regular J-holomorphic spheres.
For a smooth semilinear wave equation whose nonlinearity is a smooth function of the solution and its first derivatives, local Sobolev space theory gives a continuation criterion: a finite maximal existence time requires divergence of a sufficiently high solution norm. A bounded base norm , with , allows restarting local existence. Higher regularity persists by differentiated energy estimates. Precise norms can be weakened for particular nonlinearities.
For a strictly positive Dirichlet realization of an elliptic operator with smooth coefficients and smooth boundary, put . For each integer ,These are the domains , with norms equivalent to the indicated Sobolev space norms. The bilinear forms and are inner products on and . The higher boundary conditions are essential: for and , is smooth and zero at the boundary but , so is not a norm on all of . Repeated elliptic regularity proves is an isomorphism, which gives the norm equivalence inductively from and .
Sobolev function with zero weak gradient Created 2026-10-06 Updated 2026-10-14
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.
Sobolev gradient vanishes on a zero set 2026-10-07
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.
Sobolev inner product 2026-10-25
The displayed inner product on the first-order Sobolev space induces its usual Sobolev norm. A continuous reaction-diffusion weak formulation with unit diffusion and unit reaction has this exact bilinear form, so its conforming Galerkin method gives a best approximation with constant one in the first-order Sobolev norm.
Sobolev multiplication by a smooth cutoff 2026-10-05
Multiplication by a test function is bounded on every real-index Sobolev space. Its Fourier transform acts by convolution with a Schwartz function; frequency-weight estimates and Young's convolution inequality give the norm bound.
Sobolev norm Created 2026-10-05 Updated 2026-10-14
For , an inhomogeneous Sobolev space norm is , using weak derivatives. In particular, . The gradient seminorm alone defines a different completion, the Dirichlet energy space, unless a suitable Poincaré inequality makes the two norms equivalent on the chosen zero-boundary space.
Squared Sobolev gradient counterexample 2026-10-31
In dimensions at least two a function in the Sobolev space can have finite norm while . Localize the following radial examples with a smooth cutoff function in an interior ball. For , set , . Its gradient energy has radial exponent , but its weighted gradient energy has exponent . For , take near zero. Substituting makes the two gradient integrals proportional to and , respectively. The first converges and the second diverges. In dimension one the Sobolev embedding theorem gives , preventing this failure. These examples show why a nonnegative coefficient need not even define a bounded gradient form when only is assumed.
Stokes operator Created 2026-09-24 Updated 2026-09-24
The Stokes operator is on divergence-free vector fields, where is the Leray-Helmholtz projection. On a periodic domain it equals on its domain, and its inverse gains two Sobolev derivatives.
White-noise likelihood for a square-integrable shift Created 2026-10-05 Updated 2026-10-06
Generalized Gaussian white noise over a real Hilbert space is an isonormal Gaussian process with covariance . Its law is carried on a larger observation space; the identity is not the covariance of an infinite-dimensional -valued Gaussian measure because it is not a trace-class operator. A deterministic signal defines a translated observation law with Radon-Nikodym derivativeIn an orthonormal basis, is a stochastic series with total variance , not an inner product of two -valued observations. The formula follows from the Cameron-Martin theorem for a Gaussian measure in its generalized white-noise version, or from finite-dimensional Gaussian likelihood ratios. On , generalized noise can be realized on tempered distributions; an unweighted global negative Sobolev space is not automatically a suitable almost-sure support on an unbounded domain. The stochastic series avoids imposing that unsupported regularity.
Zero-trace Sobolev space Created 2026-10-14 Updated 2026-10-25
The zero-trace first-order Sobolev space is the closure of in the norm. On a bounded Lipschitz domain it is the kernel of the Sobolev trace operator. On an interval, its elements have absolutely continuous representatives with both endpoint values zero. The Poincaré inequality makes the derivative norm equivalent to the full Sobolev norm. This is the natural form domain for an elliptic problem with homogeneous Dirichlet boundary conditions.