A one-dimensional Sobolev representative is absolutely continuous. For , the fundamental theorem of calculus and Holder inequality give
Thus has a representative in . The qualification about representatives matters because a Sobolev space element is an almost-everywhere equivalence class.
In two dimensions, the Sobolev fundamental theorem of calculus on lines and Fubini's theorem imply that almost every horizontal and vertical slice belongs to and has this one-dimensional Hölder continuity. The slice seminorm depends on the slice; this does not give one uniform pointwise estimate on the square. For , Morrey's inequality additionally gives a globally Hölder continuous representative of exponent . For , global continuity need not hold. For example, with a smooth cutoff around an interior point, lies in when , but is unbounded. At , the cutoff version of is unbounded while its gradient has finite squared integral, since
These examples distinguish Sobolev slicing and planar continuity from a false two-dimensional application of the interval exponent.
Put . A BV space is a function whose distributional derivative is a finite vector-valued Radon measure. Equivalently its total variation seminorm is finite:
The BV space has norm . For , integration by parts against the compactly supported field gives . Conversely the measurable choice on nonzero gradients attains the pointwise bound. Approximating this bounded field by smooth fields, using interior cutoffs and the finite measure , justifies the supremum and gives
It is a norm of the derivative measure, rather than a pointwise derivative at jump discontinuities.
There is a genuine mismatch in the printed definition of the next functional. Its constraints on and are independent. Hence its stated supremum, denoted , separates as
The scalar supremum is , by cutoffs approaching one, and the vector supremum is the variation. For an affine image signal with , this gives , whereas the displayed square-root area would give . The intended relaxed graph-area functional instead uses the coupled pointwise constraint , giving
where is the singular part of . Both readings have a minimizer, but their equations are different.
Here is the direct method in the calculus of variations for either reading. Let be the literal or the corrected , and define the energy on , assigning infinity elsewhere. A minimizing sequence has bounded energy by comparison with . Both , so its variation is bounded, and the fidelity bounds , hence also and . By bounded-variation compactness, a subsequence converges strongly in to , and after another subsequence almost everywhere. Fatou's lemma proves
The regularizer is a supremum of affine functionals continuous in , since the test-field divergence is bounded. It is therefore lower semicontinuous. Combining the two lower bounds proves existence of a minimizer. In fact the convex regularizer and the strictly convex squared fidelity make the minimizer unique up to null sets. This does not assert that the minimizer must belong to .
For the intended graph area, conditionally assume that the minimizer is in . For , differentiate at . The derivative of the integrand is bounded by , so dominated convergence applies. The weak equation is
that is,
This is the graph-area Euler-Lagrange equation. Compactly supported variations impose no boundary condition in this statement.
For the literal printed supremum, the constant drops out and one obtains total variation denoising. Its total variation calibration form is
The distributional equation means . In particular wherever the gradient is nonzero; writing this quotient without handling zero gradients would be incomplete. Formally the one-sided derivative of is
Minimality in the directions and bounds the remaining linear functional by the second integral. The Hahn-Banach theorem extends it on that zero-gradient set to a bounded vector field of magnitude at most one, furnishing and the displayed weak equation. Thus the literal definition has a nonsmooth subgradient equation, not the square-root equation above.
For an integer , the Sobolev space is
where is a weak derivative. For one may use the Sobolev norm ; for use the maximum of the finitely many essential-supremum norms.
For , the Sobolev inequality is , with Sobolev conjugate exponent . For , Morrey's inequality supplies a continuous representative satisfying
At the representative is Lipschitz continuous. At the critical exponent , first-order Sobolev regularity gives every finite embedding for , with an inhomogeneous norm, but generally no embedding. The one-dimensional endpoint is an exception.
For the proof of Morrey's inequality, start with a smooth and write for its average on a ball. Averaging the fundamental theorem of calculus along a line segment and changing radial variables gives
The last step is the Holder inequality; integrability of the kernel to power is exactly . For , translate the averaging ball along the segment from to . The fundamental theorem of calculus along a line segment and the Holder inequality give
Combining the two point-to-average bounds and this average-to-average bound proves the required Hölder estimate. The point-to-average bound with , together with , gives the supremum estimate. Density of smooth functions in a Sobolev space then gives a uniformly convergent sequence of smooth representatives, preserving both bounds. For , mollification gives the Lipschitz version.
For the decay conclusion assume . The representative is uniformly continuous. If along points escaping to infinity, the Hölder bound gives a radius , independent of , on which . A subsequence has disjoint radius- balls, each contributing at least to , a contradiction. This is uniformly continuous integrable functions vanish at infinity.
The finite- restriction is necessary. If the printed range includes , its decay assertion is false: belongs to but does not tend to zero.
Choose continuous representatives using Morrey's inequality. On the closed unit ball they are uniformly bounded by and satisfy
The Arzela-Ascoli theorem therefore gives a uniformly convergent subsequence with a continuous limit. For , use the uniform Lipschitz estimate instead; this part remains valid at that endpoint.
For weak lower semicontinuity of the Hilbert norm, weak convergence gives , and hence
Taking the lower limit proves .
For the nonlinear integral, use local Sobolev compactness gives lower semicontinuity of a nonnegative integral. Select a subsequence attaining the lower limit of the integrals. The Rellich-Kondrachov compactness theorem on successively larger balls gives a diagonal subsequence converging strongly in local L2 space to . After a further subsequence it converges almost everywhere. Since , the Fatou lemma gives
Each integral is finite because . The argument uses local compactness rather than convexity: is not a convex function on the whole real line.
On a bounded Lipschitz domain , the Rellich-Kondrachov compactness theorem states that is compact for and
with for . Thus when , every finite is allowed when , and the embedding into continuous functions with their uniform norm is compact when .
For the main proof, a Sobolev extension operator puts a bounded sequence into a common compactly supported region of . The Sobolev fundamental theorem of calculus on lines gives the uniform translation estimate . Convolution with a mollifier therefore approximates the sequence uniformly in Lp space. At any fixed smoothing scale, its derivatives and supremum are uniformly bounded, so the Arzela-Ascoli theorem gives a convergent subsequence. A diagonal choice and the uniform approximation give strong Lp space convergence. The finite measure of handles , while Lp interpolation inequality with the bounded Sobolev embeddings upgrades this to the larger subcritical finite Lp spaces; for , Morrey's inequality gives uniform equicontinuity directly and the Arzela-Ascoli theorem gives uniform convergence. Boundedness of the domain is essential.
Work with real-valued functions. The screened sine-Gordon energy is well defined: , and is integrable by the Cauchy-Schwarz inequality. It is coercive, because
A minimizing sequence is bounded in the Hilbert space . Weak sequential compactness of bounded sequences in a reflexive Banach space supplies a weakly convergent subsequence. The squared H1 space norm is weakly lower semicontinuous, the source pairing is weakly continuous, and the nonlinear term is covered by local Sobolev compactness gives lower semicontinuity of a nonnegative integral. The direct method in the calculus of variations therefore gives a minimizer .
Taking its first variation in any gives
Thus the Euler-Lagrange equation is
as a weak solution, equivalently in distributions when tested against smooth compactly supported functions. The derivative of the nonlinear term is justified by and the second-order remainder bound .
Now , so the supplied elliptic regularity estimate puts in . Applying the Sobolev inequality to and each first weak derivative gives . Morrey's inequality and uniformly continuous integrable functions vanish at infinity prove that its continuous representative tends to zero.
The final printed supremum estimate is false in general. The maximum bound for a monotone reaction term involves , which is odd and strictly increasing: , and its zeros are isolated. If , a positive maximum of satisfies ; apply the same argument to . The valid general estimate is
The bound by is valid if , but can be smaller than for larger positive .
For an explicit failure of the source-size bound for the screened sine-Gordon equation, take , , and . These are smooth functions in the required spaces. With ,
Hence . Moreover has , so the energy is convex and this critical point is a minimizer. The example therefore satisfies even the minimizing and hypotheses of the printed claim.
For real , this energy functional on is coercive and attains its minimum by the direct method in the calculus of variations. The nonnegative potential term is weakly lower semicontinuous by local Sobolev compactness gives lower semicontinuity of a nonnegative integral. Its Euler-Lagrange equation is in the weak solution sense. The extra linear restoring term screens the Sine-Gordon equation nonlinearity. The scalar potential is convex because ; hence any weak critical point is a minimizer. The elliptic regularity estimate for , together with , gives . The Sobolev inequality then puts in , so Morrey's inequality and uniformly continuous integrable functions vanish at infinity give a continuous representative tending to zero.
For with , almost every coordinate-line slice has an absolutely continuous representative and is Hölder continuous with exponent . Slice bounds need not be uniform. Global Hölder continuity follows from Morrey's inequality only when , with exponent ; unbounded examples exist at and below .