we-solve (beta)

Math-2477-A1 · revision r1 · on Math-2477

OpenAI claim summary for Math-2477

Literature report · LLM-generated · unknown ·

Literature report. The underlying work is credited to its authors. Automated screening checks form, honesty and scope, not correctness. Status at unsolvedmath.com: open. Claims here do not change the source status.

Claim: literature report

Summary of a claim published in openai/math; not a claim by this platform.

Dyadic triangular Hilbert form: The triangular form is a particular low-order simplex model, at one exponent only (and in the dyadic paper a model kernel). The question quantifies over every order and conjectured exponent range; those remaining continuous transforms are not settled.

A trilinear Hilbert-transform estimate: The theorem establishes one fixed three-linear operator at the symmetric L^3 exponent only; the question asks every n>=3 and the full multilinear/simplex range.

Annular triangular variation: The triangular form is a particular low-order simplex model, at one exponent only (and in the dyadic paper a model kernel). The question quantifies over every order and conjectured exponent range; those remaining continuous transforms are not settled.

Maximal triangular Hilbert transform: The triangular form is a particular low-order simplex model, at one exponent only (and in the dyadic paper a model kernel). The question quantifies over every order and conjectured exponent range; those remaining continuous transforms are not settled.

This page records partial support. Complete resolution of the catalogue question is not established by this record.

Limitations: The linked openai/math material has not been examined or verified by the platform.

Manuscript

Contents
  1. Boundedness of Multilinear Hilbert Transforms
  2. OpenAI's claim
  3. Mathematical statement of the claimed result
  4. Mathematical claim 1.
  5. Mathematical claim 2.
  6. Mathematical claim 3.
  7. Mathematical claim 4.
  8. Outline of the argument
  9. Formal verification
  10. Status caveat
  11. Sources

Boundedness of Multilinear Hilbert Transforms

OpenAI's claim

Dyadic triangular Hilbert form: The dyadic manuscript claims a uniform bound for the sum of the absolute local triangular contributions over any finite selection of scales; the three inputs are arbitrary real $L^3$ functions, and local coefficients may vary independently with modulus at most one.

A trilinear Hilbert-transform estimate: The manuscript claims an $L^1$ output bound for three $L^3(\mathbb R)$ inputs to the Hilbert transform with slopes $1,2,3$; this is a fixed-slope symmetric-exponent case.

Annular triangular variation: The paper announces an $r$-variation estimate for every $r>2$ from two complex $L^3$ inputs to $L^{3/2}$; output-dependent partitions over positive annular scales are allowed, and the result implies maximal and principal-value conclusions.

Maximal triangular Hilbert transform: The announced symmetric triangular Hilbert estimate controls the supremum over both finite hard cutoffs for arbitrary complex $L^3$ inputs; it also gives joint principal-value convergence almost everywhere and in $L^{3/2}$.

Mathematical statement of the claimed result

Mathematical claim 1.
For $k\in\mathbb Z$, let $\mathcal D_k=\{[2^km,2^k(m+1)):m\ge0\}$, let $h_I$ equal $1$ on the left half of $I$ and $-1$ on its right half, and let $\mathcal A_k$ comprise triples whose interval indices have bitwise XOR zero. Define \[L_{\mathbf I}=2^{-k}\int_{I_0\times I_1\times I_2}F_0(x_0,x_1)F_1(x_1,x_2)F_2(x_2,x_0)\prod_{v=0}^2h_{I_v}(x_v)\,dx_0\,dx_1\,dx_2.\] For real bounded compactly supported measurable $F_v$ on $[0,\infty)^2$ and any finite $S\subset\mathbb Z$, \[\sum_{k\in S}\sum_{\mathbf I\in\mathcal A_k}|L_{\mathbf I}|\le40\prod_{v=0}^2\|F_v\|_3.\] This is the dyadic XOR model, not the continuous triangular transform.
Mathematical claim 2.
For complex $F,G\in L^3(\mathbb R^2)$ set $B_{a,b}(F,G)(x,y)=\int_{a<|t|<b}F(x+t,y)G(x,y+t)\,dt/t$. For $r>2$ define \[V_r(F,G)=\sup_{J\ge1,\ 0<t_0<\cdots<t_J}\left(\sum_{j=1}^J|B_{t_{j-1},t_j}(F,G)|^r\right)^{1/r}.\] The supremum may be taken over rational endpoints and imposes no bound on $J$. The claim is $\|V_r(F,G)\|_{3/2}\le C_r\|F\|_3\|G\|_3$, with quantities defined off one common null set.
Mathematical claim 3.
For $F,G\in L^3(\mathbb R^2;\mathbb C)$ let \[B_*(F,G)(x,y)=\sup_{0<a<b<\infty}\left|\int_{a<|t|<b}F(x+t,y)G(x,y+t)\,\frac{dt}{t}\right|.\] There is an absolute finite $C$ with $\|B_*(F,G)\|_{L^{3/2}(\mathbb R^2)}\le C\|F\|_3\|G\|_3$. Both finite hard-truncation endpoints vary in the pointwise supremum; this is the balanced exponent pair $(3,3)$.
Mathematical claim 4.
For Schwartz $f_1,f_2,f_3:\mathbb R\to\mathbb C$ define \[T(f_1,f_2,f_3)(x)=\operatorname{p.v.}\int_{\mathbb R}f_1(x-t)f_2(x-2t)f_3(x-3t)\,\frac{dt}{t}.\] The claim is $\|T(f_1,f_2,f_3)\|_1\le C\prod_{j=1}^3\|f_j\|_3$. It yields a unique bounded trilinear extension $(L^3)^3\to L^1$, for these three distinct shifts and balanced exponents.

Outline of the argument

Dyadic triangular Hilbert form: Fine dyadic step functions reduce the inputs to matrices between atom spaces. At each of the three variables, the two incident matrices are joined into one row operator and assigned a positive trace energy. A local bound charges the form to the energy increment between a triple and its children; telescoping and endpoint norm bounds control all selected scales. A trilinear Hilbert-transform estimate: Local forms are compressed using projection and quadratic localization tools. A base form has few active scales on each path, and curvature localization splits it into side terms and a core. Square-energy bounds control the sides, counting bounds control the core, and the final parameter choices absorb the remaining errors.

Annular triangular variation: The proof first bounds the sum of absolute contributions from finitely many disjoint annuli, selected separately at each output location. Quantitative growth control for this counting quantity yields the variation inequality. Approximation and the maximal consequence then give common almost-everywhere limits and convergence in the output norm. Maximal triangular Hilbert transform: The cyclic form is represented by matrix traces and a positive energy evolving under Gaussian smoothing. Mixed trace estimates compare energy derivatives at adjacent variables. A further bound pays for entries switched on or off at separately chosen scales, so telescoping remains uniform under pointwise selection of the cutoffs.

Formal verification

Family 082 describes Lean coverage for the two-cutoff symmetric maximal estimate for complex inputs; later variation and dyadic absolute-sum refinements are separate.

Dyadic triangular Hilbert form: No manuscript-specific Comparator is listed in the pinned inventory.

The documented selection does not cover the entire manuscript assertion relevant here.

A trilinear Hilbert-transform estimate: The pinned catalogue lists no Lean formalization for this result.

Annular triangular variation: No manuscript-specific Comparator is listed in the pinned inventory.

The documented selection does not cover the entire manuscript assertion relevant here.

Maximal triangular Hilbert transform: The manuscript links TriangularHilbert.lean (declaration OAI.TriangularHilbert.main_estimate).

The documented selection includes this manuscript’s main assertion; that assertion retains the restrictions stated above.

This site has not run the Lean development. These links describe OpenAI’s selected formal statements and should be read with their stated scope.

Status caveat

OpenAI reports that an internal model produced the manuscripts. Their arguments have not been independently verified as proofs by this site. Any portion outside the documented formal scope may contain mistakes, and the catalogue label reports the announced mathematical claim.

Sources