Latest

Mathematical physics

Sharp finite-matrix Lieb–Thirring inequalities and all equality cases

OpenAI research collection · 3 manuscripts · Source checked 2026-10-19

OpenAI's result summary

Proves the sharp one-dimensional Lieb–Thirring inequality for 1/2< \gamma< 3/2 and arbitrary finite-matrix potentials W ≥ 0 with \int\mathop{tr}\nolimits (W^{\gamma+1/2})< ∞: the optimal constant is the scalar one-bound-state value, independent of matrix size. All equality cases are direct sums, in one constant unitary basis, of scalar sech^(2) solitons with independent scales and centers, and zero channels.

Read the manuscripts

Short excerpts below come from OpenAI's abstracts. The full abstract and original PDF preserve the paper's precise scope.

MANUSCRIPT 01

Equality cases in the sharp one-dimensional matrix Lieb–Thirring inequality

We classify all equality cases in the sharp one-dimensional Lieb–Thirring inequality for every finite matrix size and 1/2< \gamma< 3/2. For measurable Hermitian positive semidefinite potentials W with \int_\mathbb R\mathop{tr}\nolimits (W^{\gamma+1/2})< ∞, equality holds precisely for direct sums, in one constant unitary basis,…

Full source abstract

We classify all equality cases in the sharp one-dimensional Lieb–Thirring inequality for every finite matrix size and 1/2< \gamma< 3/2. For measurable Hermitian positive semidefinite potentials W with \int_\mathbb R\mathop{tr}\nolimits (W^{\gamma+1/2})< ∞, equality holds precisely for direct sums, in one constant unitary basis, of scalar one-bound-state solitons and zero channels. The nonzero solitons may have independent scales and centers.

This exact PDF is not listed in the imported formalization catalogue. Family scope notes may contain further information.

MANUSCRIPT 02

Sharp one-dimensional Lieb–Thirring inequalities for matrix potentials

We prove the sharp one-dimensional Lieb–Thirring inequality for every finite matrix size and every exponent 1/2< \gamma< 3/2. The optimal constant is the scalar one-bound-state constant, independently of the matrix size. The inequality bounds the full sum of negative eigenvalue moments for every measurable Hermitian positive…

Full source abstract

We prove the sharp one-dimensional Lieb–Thirring inequality for every finite matrix size and every exponent 1/2< \gamma< 3/2. The optimal constant is the scalar one-bound-state constant, independently of the matrix size. The inequality bounds the full sum of negative eigenvalue moments for every measurable Hermitian positive semidefinite potential W satisfying \int_\mathbb R\mathop{tr}\nolimits (W^{\gamma+1/2})< ∞. The matrices may have arbitrary rank and need not commute at different points.

This exact PDF is not listed in the imported formalization catalogue. Family scope notes may contain further information.

MANUSCRIPT 03

Sharp one-dimensional Lieb–Thirring constants

We resolve affirmatively the remaining cases of the scalar one-dimensional Lieb–Thirring conjecture: for every \frac12< \gamma< \frac32, the optimal constant is the one-bound-state constant. The estimate holds for every nonnegative potential in L^{\gamma+1/2}(\mathbb R), with all negative eigenvalues included.

This PDF is listed in OpenAI's formalization catalogue. See the scope and dependencies before interpreting coverage.

One signal in the wider AGI picture

New mathematical reasoning could help AI tackle harder scientific and computational problems. How reliably these skills transfer beyond mathematics will determine how much they contribute to general intelligence.

Explore the AGI Clock ↗