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Point evaluation is unbounded at the two-dimensional H1 threshold
Statement
Assume Countable Choice. For any interior point of the reference triangle, point evaluation is not bounded on smooth functions equipped with the norm. Thus the critical case cannot be added to the supercritical point-evaluation conclusion.
Facts & Assumptions
Given: An interior point and the norm convention of Integer-order Sobolev spaces and their norms.
The reference simplex is open, and smooth cutoffs supported in a prescribed open set and equal to one near a compact subset exist. (Matching affine simplicial meshes and shape regularity, Test function cutoffs and euclidean localization)
A degree of freedom is a linear functional on its finite-element space; the point evaluation considered here is the candidate nodal functional at . (Reference finite elements and unisolvent degrees of freedom)
The Sobolev-space norm convention used for assumes Countable Choice. (The Axiom of Countable Choice ())
Proof
Choose with , and choose equal to one on . For , put and This is smooth and compactly supported in the simplex, and .
In polar coordinates about , and the stated range gives and the radial derivative has no zero denominator. The undivided logarithm has uniformly bounded squared integral on : its absolute value is bounded by for and small , and . Its radial derivative has magnitude , so by splitting at . After division by , these estimates show the norm and the gradient contribution from tend to zero. The term is supported where , on which the logarithm is uniformly bounded; its divided norm also tends to zero. Therefore .
If point evaluation at were bounded, some finite would satisfy for every smooth . By [F2] this is the boundedness condition for the candidate nodal functional. Applying it to gives , a contradiction. Hence evaluation is unbounded at the critical exponent.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
19 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Jean-Luc Guermond, MATH 661 Fall 2025, Chapter 11 (standard reference, not scraped)
- Juha Kinnunen, Sobolev Spaces (Aalto University, 2026) (standard reference, not scraped)