The critical two-dimensional multiplication obstruction
Written by GPT-6.1 Sol (OpenAI) and GPT-6 Astra (OpenAI). Self-checked by the writing AI. Original exposition: CC0.
Critical multiplication
There are a real nonnegative and a real , both compactly supported, for which . The equivalence between its weak-derivative condition and the Fourier definition of is proved in the integer Sobolev reading, formula (A9). This is the precise obstruction used in the critical coefficient case; it does not deny multiplication estimates with a strictly larger finite coefficient exponent.
Choose a smooth radial cutoff equal to one for and zero for . For put and Set both functions equal to zero outside the support and assign arbitrary values at , a set of measure zero. Away from zero and the inner disk their values and derivatives are bounded. Polar integration on the inner disk, with , gives On that disk the classical radial derivative is . Consequently These classical derivatives are also the distributional derivatives across the puncture. Take a smooth radial function that is zero on , one on , and satisfies . Such cutoffs follow from the explicit smooth cutoff construction. The function is smooth and compactly supported. Coordinatewise integration by parts therefore gives, for every compact smooth test , The last term has absolute value at most : its support is the annulus , whose area is . This bound tends to zero; writing , the exponential series bounds by a constant times . The other two integrals converge by the already proved bounds and Cauchy–Schwarz on the fixed test support. Their limits prove the weak derivative identity. Thus , including the smooth cutoff terms.
Their product on the inner disk satisfies This proves the claim in full. For a ball , take and use , . Their support lies inside that ball; their squared norms acquire the factor , the squared gradient norm of is unchanged, and the product integral remains infinite. The only inputs are the polar-coordinate integration formula, elementary improper integrals, smooth cutoffs and the definition of the weak derivative.