As usual, the bounded set is assumed Lebesgue measurable and an exponent is positive; the conventional Banach-space assertion concerns . No boundary regularity of is needed. Choose a smooth compactly supported cutoff equal to one on a ball containing . Weak convergence and the Uniform boundedness principle give a common bound for , hence also for . These functions have a common compact support.
We prove their local compactness directly. Translation and the fundamental theorem along line segments give, by density from smooth functions,
For a compactly supported mollifier , integration of this estimate gives
At fixed , Hölder's inequality bounds and uniformly by the norm of the corresponding smoothing kernels. Their supports lie in one fixed compact set, so the Arzelà-Ascoli theorem makes this smoothed family precompact in . The uniform approximation makes the original family totally bounded in : choose a finite net for the smoothed family and add the approximation error. Completeness gives relative compactness.
Every strongly convergent subsequence of has limit , since multiplication by preserves weak convergence. Consequently the whole sequence converges strongly: otherwise a subsequence with distance at least a fixed positive number would have a further convergent subsequence and contradict that unique limit. In particular .
The critical Sobolev inequality supplies a uniform bound in . For clarity, this estimate follows from part 2(a), not from compactness at the critical exponent. For a compactly supported smooth , integrating by parts against the vector field gives
Its distributional divergence is the sphere-area multiple of a point mass; applying the Hardy–Littlewood–Sobolev inequality with yields . Density extends this to .
For choose with . Hölder's inequality gives
For , use . The same integral estimate also works for if is understood with its usual quasi-norm. Thus strongly for every positive . We have never asserted that multiplying by the possibly nonsmooth indicator preserves .
For a bounded connected domain with the interior cone property, and , the mean-zero form of the Poincaré inequality is
No zero boundary trace is imposed. Subtracting the mean is essential because nonzero constants have zero gradient.
Suppose the estimate failed. Subtract means and normalize to obtain with
This sequence is bounded in the Sobolev space . The allowed Rellich-Kondrachov compactness theorem on cone domains provides a subsequence converging strongly in to . Its mean is zero and its norm is one. For any compactly supported smooth test function ,
Thus every weak derivative of vanishes. To show this implies constancy, mollify on any ball compactly contained in . The resulting smooth function has zero gradient and is constant on the smaller ball. Passing to its limit makes constant almost everywhere on that ball. Overlapping balls have the same constant, and connectedness connects any two points by a chain of such balls. Hence is constant almost everywhere throughout . Its zero mean makes it zero, contradicting norm one. This proves the stated Poincaré inequality. The frequently used stronger Sobolev-Poincare formulation also follows: with , the cone-domain Sobolev embedding theorem gives . Insert and the estimate just proved to obtain
Thus both the same-exponent and critical-exponent mean-zero versions are covered. Connectedness cannot be dropped without subtracting a separate mean on every component. The usual meaning of the stated range is ; with is not part of this Sobolev-space formulation.

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