For , the first-order Sobolev space is
The weak derivative is unique as an equivalence class modulo equality almost everywhere. We use the standard Sobolev norm . Pointwise values of an arbitrary representative have no intrinsic meaning; the one-dimensional Sobolev representative supplies the continuous representative used later.
Reflect across the two endpoints of into a slightly larger interval, giving an extension, and multiply by a smooth cutoff function equal to one near . Convolve the resulting function on with a mollifier. The convolutions are smooth; differentiation commutes with convolution of the weak derivative. Continuity of translations in proves both and in , hence convergence in the Sobolev norm.
To obtain convergence almost everywhere, select a sequence with . Then , so the summands tend to zero almost everywhere. Thus a smooth approximating sequence converges both in and almost everywhere. This is density of smooth functions in a Sobolev space; smooth functions need not vanish at the endpoints.
For a smooth approximation, the fundamental theorem of calculus and Cauchy-Schwarz inequality give
Let be one full-measure set on which . Passing to the limit for all gives
The full-measure set is dense, and the estimate extends its representative uniquely to a -Hölder continuous function on . Its classical Hölder seminorm satisfies the same bound. Changing the original representative on a null set does not affect the essential supremum in the assertion.
With the standard Sobolev norm, the printed constant one is not valid for arbitrary . The constant function has supremum norm one and norm , which is smaller when .
For the continuous one-dimensional Sobolev representative, let . The Cauchy-Schwarz inequality gives . Using the preceding Hölder seminorm estimate,
Consequently the corrected interval Sobolev supremum estimate is
One may first prove this for smooth approximations and pass on the full-measure convergence set. Averaging differences also handles complex-valued functions without assuming that a function takes its complex average at some point. At the fixed interval used below the constant is absolute, which suffices for the intended interior estimate.

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