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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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48 results for uniform a priori estimates

In the product space H^n \times R; we obtain uniform a priori C^0 horizontal length estimates, uniform a priori C^1 boundary gradient estimates, as well as uniform modulus of continuity, for a class of horizontal minimal equations. In two independent variables, we derive a certain uniform global a priori C^1 estimates …

2012-05-20abs ↗pdf ↗

The note provides uniform estimates for complex Hessian equations on compact Hermitian manifolds.

problem Uniform estimates for solutions to degenerate complex Hessian equations on compact Hermitian manifolds.
method The approach relies on corresponding a priori estimates for Monge-Ampère equations.
result Extension and short alternative proof of results for complex Hessian equations.

Uniform estimates for complex equations on compact manifolds found.

problem Uniform estimates for (n1)(n-1)-form fully nonlinear PDEs on compact Hermitian manifolds.
method Local comparison with Monge-Ampère equations and finding an appropriate elliptic operator.
result A priori LL^\infty estimate for the equations.

New method for complex Monge-Ampère equations on Kähler manifolds.

problem Degenerate complex Monge-Ampère equations on complex manifolds.
method New approach relying on compactness and envelopes properties of quasi-plurisubharmonic functions.
result New and efficient proofs of fundamental results in Kähler geometry.

Study on singularities of Chern-Ricci flow on complex manifolds.

problem Understanding finite-time singularities of the Chern-Ricci flow.
method Extending Guedj-Lu's approach to establish uniform a priori estimates for degenerate complex Monge-Ampère equations, applied to Chern-Ricci flows on complex log terminal varieties.
result Showed solutions starting from positive currents are smooth outside some analytic subset.

New method removes scalar curvature assumption in Ricci flow smoothing.

problem Uniform bounds on scalar curvature and other factors for Ricci flow.
method Quantitative short-time existence of Ricci flow without scalar curvature assumption.
result Ricci flow smoothing for measure space limits, Gromov-Hausdorff compactness, and topological rigidity results.

Simplified proof and new C0C^0 estimate for Kähler-Einstein metrics.

problem Existence of Kähler-Einstein metrics on Calabi-Yau manifolds.
method Alternative C0C^0 a priori estimate for the Monge-Ampère equation.
result Established a new uniform bound for the solution of the Monge-Ampère equation.

Estimates for complex Monge-Ampère equations lead to insights on moduli spaces and singular metrics.

problem Uniform estimates for complex Monge-Ampère equations on Kähler manifolds.
method Refined techniques to control degenerate equations and analyze families of singular Kähler-Einstein metrics.
result Uniform integrability properties and insights into moduli spaces of stable varieties.

Under the assumption of the uniform local Sobolev inequality, it is proved that Riemannian metrics with an absolute Ricci curvature bound and a small Riemannian curvature integral bound can be smoothed to having a sectional curvature bound. This partly extends previous a priori estimates of Ye Li (J. Geom. Anal. 17 (20…

2011-04-09abs ↗pdf ↗

New method learns from non-uniform data and partial physical knowledge.

problem Identifying dynamical systems from non-uniformly sampled data.
method Physics-informed neural networks integrating numerical integration methods.
result Learning unknown kinetic rates and estimating parameters from non-uniform data.

Paper proves gradient estimates for Lagrangian mean curvature equation.

problem Proving gradient estimates for Lagrangian mean curvature equation.
method Interior gradient estimates for critical and supercritical Lagrangian mean curvature equation.
result Solves Dirichlet boundary value problem for critical and supercritical Lagrangian mean curvature equation.

The sinh-Gordon equation is solved on finite, symmetric graphs.

problem Solving the sinh-Gordon equation with nonzero prescribed functions on finite graphs.
method Uniform a priori estimate to define topological degree, case-by-case calculation of degree, classical sinh-Gordon equation analysis.
result The classical sinh-Gordon equation with nonzero prescribed function is always solvable on finite, symmetric graphs.

Estimates for special Lagrangian curvature equations in critical and convex cases.

problem Interior estimates for special Lagrangian curvature equations.
method Establishes a priori interior curvature and gradient estimates.
result Proves interior curvature and gradient estimates for special Lagrangian curvature equations.

Paper studies quantized LRMR with random dithering for correlated tasks.

problem Estimating coefficient matrix in quantized multivariate regression.
method Uniform quantization with random dithering, constrained and regularized Lasso estimators.
result Achieves minimax optimal rate with dithering, slightly worsens quantization effect.

Solves constant mean curvature Dirichlet problem on catenoids with improved estimates.

problem Solving constant mean curvature Dirichlet problem on catenoidal necks.
method Found solutions in exponentially weighted Hölder spaces with non-integer weight.
result Improved estimate to γ=1 by comparing solutions with their limits on the disk.

We obtain a priori estimates for solutions to the prescribed scalar curvature equation on S3S^3. The usual non-degeneracy assumption on the curvature function is replaced by a new condition, which is necessary and sufficient for the existence of a priori estimates, when the curvature function is a positive Morse functi…

2004-12-02abs ↗pdf ↗

Paper bounds Kähler manifolds' diameter using Orlicz spaces and complex Monge-Ampère equations.

problem Establishing diameter bounds for Kähler manifolds in Orlicz spaces.
method Proving a priori estimates for solutions of complex Monge-Ampère equations in Orlicz spaces using Kołodziej's and Guo-Phong-Tong-Wang's approaches.
result Uniform estimates for Green's function and its gradient for Kähler metrics.

Study contact instantons and Legendrian links, proving energy inequalities.

problem Estimating Reeb-untangling energy of Legendrian submanifolds.
method Develop contact Hamiltonian geometry, introduce tame contact manifolds, construct moduli spaces, prove convergence results.
result Self Reeb-untangling energy of compact Legendrian submanifolds is greater than period gap.

Paper studies unique interior points and estimates for generalized translating soliton problems.

problem Generalized translating soliton type problems.
method Proves uniqueness of interior critical points, derives C0C^0 and C1C^1 estimates using minimum principles.
result Derives a priori C0C^0 and C1C^1 estimates for solutions.

The paper modifies Vafa-Witten equations on 4-manifolds for better solution estimates.

problem Constructing a priori estimates for solutions of Vafa-Witten equations on 4-manifolds.
method Introducing perturbation terms to the Vafa-Witten equations and proving transversality.
result The singularities of solutions can be removed, and moduli spaces constructed.

Study volumes of Bott-Chern classes on complex manifolds.

problem Understanding volumes of transcendental Bott-Chern classes.
method Extending non-pluripolar products to quasi-positive currents, establishing quasi-monotonicity of Monge-Ampère masses, and solving degenerate complex Monge-Ampère equations.
result Positive answer to Demailly-Păun-Boucksom conjecture regarding bounded mass property.

Establishes log-concavity estimates for convex domains' first Dirichlet eigenfunctions.

problem Quantifying the Hessian of log-concave eigenfunctions on convex domains.
method Analyzes log-concavity properties of the first Dirichlet eigenfunction on convex domains.
result Obtains quantitative estimates for the Hessian of logu\log u.

Estimates generalization error for two-layer ReLU NNs through minimum norm solutions.

problem Estimating generalization error for two-layer ReLU NNs trained by mean squared error.
method Uses minimum norm solutions and Neural Tangent Kernel (NTK) regime to derive generalization error bounds.
result Derives an a priori generalization error bound for two-layer ReLU NNs without requiring exponentially large number of neurons.

New estimates for the population risk are established for two-layer neural networks. These estimates are nearly optimal in the sense that the error rates scale in the same way as the Monte Carlo error rates. They are equally effective in the over-parametrized regime when the network size is much larger than the size of…

2018-10-15abs ↗pdf ↗

Prescribing σkσ_k curvature equations are fully nonlinear generalizations of the prescribing Gaussian or scalar curvature equations. Given a positive function KK to be prescribed on the 4-dimensional round sphere. We obtain asymptotic profile analysis for potentially blowing up solutions to the σ2σ_2 curvature equatio…

2009-11-02abs ↗pdf ↗

The paper studies equations on almost Hermitian manifolds with estimates and existence results.

problem Solving Monge-Ampère type equations on compact almost Hermitian manifolds.
method Derives CC^{\infty} a priori estimates and obtains existence results under admissible conditions.
result Existence of solutions under admissible conditions for Monge-Ampère type equations.