Existence of a Weinstein-functional minimizer Created 2026-09-28 Updated 2026-11-05
For nonzero , the Weinstein functional is invariant under amplitude multiplication and spatial dilation. Apply symmetric decreasing rearrangement to a minimizing sequence, then use those two invariances to arrangewith nonnegative radial, radially nonincreasing . Rearrangement preserves the relevant Lp norms and does not increase the gradient L2 norm.
These monotone radial profiles have uniform pointwise bounds , since their value on a ball is bounded by its average squared mass. For every , this givesLocal Rellich-Kondrachov compactness theorem and this tail bound yield strong convergence in after a subsequence; this exponent is below for , the upper range in the Sobolev embedding theorem; put for . The argument also covers because monotone rearrangement, rather than radial symmetry alone, controls the tails.
The Gagliardo-Nirenberg interpolation inequality bounds the infimum of the Weinstein functional away from zero. The strong nonlinear-norm limit is therefore nonzero. Weak lower semicontinuity of the two normalized quadratic norms shows that the limit attains the infimum, giving a nonnegative minimizer.
Past exam of the mathematics course of the University of Cambridge 2022 iii Paper 154 2 2 Solution 2026-09-28
By the two invariances from part 1, normalize a minimizing sequence so thatReplacing by and then by its symmetric decreasing rearrangement preserves its and norms and does not increase the gradient norm. A harmless dilation restores the normalization, so we may take the sequence nonnegative, radial, and radially decreasing.
The sequence has a weakly convergent subsequence in . Radial compactness and the fixed scale give strong convergence in ; in particular the limit is nonzero because . Weak lower semicontinuity of the and gradient norms then shows that the limit attains the infimum. This is the existence of a Weinstein-functional minimizer.
Pólya-Szegő inequality 2026-09-28