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arXiv research

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.

168,695 papers · 148 categories

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48 results for L^{\infty} estimate

Paper establishes LL^{\infty} estimates for complex Monge-Ampere and Hessian equations.

problem Estimating solutions to complex Monge-Ampere and Hessian equations.
method Uses PDE techniques similar to Phong et al to prove LL^{\infty} and Hölder estimates.
result Establishes LL^{\infty} estimates for both complex Monge-Ampere and Hessian equations.

Derives LL^{\infty} estimate for Kähler-Ricci flows with weaker conditions.

problem Estimating solutions to Kähler-Ricci flows under weaker conditions.
method Extends recent techniques to more general geometric cases.
result Derives LL^{\infty} estimate for Kähler-Ricci flows with weaker conditions.

Sharp LL^\infty estimates proved for complex Monge-Ampère equations.

problem Proving sharp LL^\infty estimates for complex Monge-Ampère equations.
method PDE proof covering fixed and degenerating background metrics, extends to general fully non-linear equations.
result Sharp LL^\infty estimates proved for complex Monge-Ampère equations.

New proof of Kähler-Einstein Fano manifold LL^\infty estimates.

problem Uniform LL^\infty estimates for Kähler-Ricci flow on Kähler-Einstein Fano manifolds.
method Using Chen-Cheng's auxiliary Monge-Ampère equation and the Alexandrov-Bakelman-Pucci maximum principle, without pluripotential theory.
result Uniform LL^\infty estimates derived for Kähler-Ricci flow on Kähler-Einstein Fano manifolds.

We prove spectral, stochastic and mean curvature estimates for complete mm-submanifolds φ ⁣:MN\varphi \colon M \to N of nn-manifolds with a pole NN in terms of the comparison isoperimetric ratio ImI_{m} and the extrinsic radius rφr_\varphi\leq \infty. Our proof holds for the bounded case rφ<r_\varphi< \infty, recovering …

2013-03-17abs ↗pdf ↗

New proof of LL^\infty estimates for Monge-Ampère and Hessian equations on nef classes.

problem Estimating solutions to Monge-Ampère and Hessian equations on nef classes.
method Applying PDE approach to Kähler manifolds to nef classes.
result New proofs of estimates for Monge-Ampère and Hessian equations.

Adapts PDE method to prove LL^\infty estimates for complex Hessian equations.

problem Proving LL^\infty estimates for complex Hessian equations on transverse Kähler manifolds.
method Adapts PDE approach of Guo-Phong-Tong and Guo-Phong-Tong-Wang [17, 18].
result Obtains LL^\infty estimate for transverse complex Monge-Ampère equations.

The paper studies the asymptotic behavior of adversarial training under \ell_\infty-perturbation.

problem Theoretical guarantees for sparsity-recovery in adversarial training.
method Investigation of the asymptotic distribution of the adversarial training estimator in generalized linear models.
result The asymptotic distribution of the adversarial training estimator under \ell_\infty-perturbation could have a positive probability mass at 0 when the true parameter is 0.

The paper analyzes kNN density estimation's convergence rates under different conditions.

problem Analyzing convergence rates of kNN density estimation under bounded and unbounded support conditions.
method Examined two cases: bounded support with known and unknown support sets, and unbounded support with smooth density function.
result kNN density estimation is minimax optimal under certain conditions and better than kernel density estimation in some cases.

Note on gradient estimates for complex Monge-Ampere equation.

problem Gradient estimates for solutions of complex Monge-Ampere equation.
method Estimates LpL^p and LL^{\infty} for gradient in terms of continuity of the right-hand side.
result Gradient estimates for solutions of complex Monge-Ampere equation.

Estimates log-likelihood of interacting particle systems using virtual particles.

problem Inconsistent estimation of finite-particle log-likelihood in large particle systems.
method Stochastic gradient estimate using continuous trajectory and virtual particle systems.
result Convergence to stationary points of limiting mean-field system's log-likelihood.

Develops a nonparametric method to estimate isotropic covariance functions efficiently.

problem Estimating isotropic covariance functions without assuming a specific parametric form.
method Uses Bernstein polynomials and sieve maximum likelihood estimation.
result Consistent estimator with improved performance compared to parametric and nonparametric alternatives.

We solve the regularity problem for Milnor's infinite dimensional Lie groups in the asymptotic estimate context. Specifically, let GG be a Lie group with asymptotic estimate Lie algebra g\mathfrak{g}, and denote its evolution map by evol ⁣:Ddom[evol]G\mathrm{evol}\colon \mathrm{D}\equiv \mathrm{dom}[\mathrm{evol}]\rightarrow G, i.e.…

2018-04-29abs ↗pdf ↗

In this work we construct an optimal shrinkage estimator for the precision matrix in high dimensions. We consider the general asymptotics when the number of variables pp\rightarrow\infty and the sample size nn\rightarrow\infty so that p/nc(0,+)p/n\rightarrow c\in (0, +\infty). The precision matrix is estimated directly, wit…

2013-08-05abs ↗pdf ↗

Unified estimate for complex Monge-Ampère equations on Kähler manifolds.

problem Estimating solutions to complex Monge-Ampère equations on Kähler manifolds.
method Unified approach using PDE methods and entropy bounds to construct comparison metrics.
result Improves previous results on modulus of continuity, stability, and W1,1W^{1,1}-estimates of Green's functions.

On the ambient space of a Lie group with a left invariant metric that is isometric and isomorphic to a semidirect product R2AR\mathbb{R}^2\rtimes_A\mathbb{R}, we consider a domain ΩR2A{0}Ω\subseteq \mathbb{R}^2\rtimes_A\{0\} and vertical ππ-graphs over ΩΩ and study the partial differential equation a function $u:Ω\rightarro…

2015-04-25abs ↗pdf ↗

Let (X,d,μ)(X,d,μ) be a doubling metric measure space endowed with a Dirichlet form $\E$ deriving from a "carré du champ". Assume that $(X,d,μ,\E)$ supports a scale-invariant L2L^2-Poincaré inequality. In this article, we study the following properties of harmonic functions, heat kernels and Riesz transforms for $p\in (2,\i…

2017-03-06abs ↗pdf ↗

The paper derives upper bounds on the MLE error for BTL model under general graphs.

problem Estimating the MLE of BTL model parameters with \ell_{\infty}-loss under general graphs.
method Novel upper bounds on \ell_{\infty} estimation error dependent on algebraic connectivity and graph topology.
result Upper bounds on \ell_{\infty} error are sharp and match minimax lower bounds under certain graph topologies.

Estimating dimension from sparse random geometric graphs.

problem Estimating the dimension of the underlying space from a random geometric graph.
method An estimator of dimension is derived using the adjacency matrix of the graph, under specific conditions on the density and threshold.
result An estimator converges to the true dimension with high probability under certain conditions.

Sharp L∞ estimates for fully non-linear elliptic equations on compact complex manifolds.

problem Sharp L∞ estimates for fully non-linear elliptic equations on compact complex manifolds.
method Comparison with auxiliary complex Monge-Ampère equations, Hölder-Young inequality, and De Giorgi iteration lemma.
result Improved L∞ estimates for fully non-linear elliptic equations on Kähler and Hermitian manifolds.

Improved bounds for discrete probability distribution estimation under the ℓ∞ norm.

problem Estimating discrete probability distributions under the ℓ∞ norm with improved bounds.
method Minimax bounds in expectation and high-probability tail bounds.
result Resolved open questions posed in Kontorovich and Painsky (JMLR, 2025), including a fully empirical tightest risk bound and identifying the worst-case extremal distribution.

The paper estimates gradients on graphs under specific conditions and applies these estimates to heat equations.

problem Estimating gradients on graphs with the CDψ(n,K)CDψ(n,-K) condition.
method Investigates gradient estimates for positive solutions of heat equations and a heat-type equation.
result Derives heat kernel bounds and Harnack inequalities using gradient estimates.

Study improves LL^{\infty} estimates and extreme value behavior in stochastic differential games.

problem Analyzing the mean-field limit of diffusive games through master equation.
method Using the Master Equation to approximate state processes and establishing LL^{\infty} estimates for the total error.
result Established NoN o \infty asymptotic behavior of upper order statistics of Nash states, initiating Extreme Value Theory for stochastic differential games.

Let AA be a W1,2W^{1,2}-connection on a principle SU(2)\text{SU}(2)-bundle PP over a compact 44-manifold MM whose curvature FAF_A satisfies FAL2(M)Λ\|F_A\|_{L^2(M)}\le Λ. Our main result is the existence of a global section σ:MPσ: M\to P with finite singularities on MM such that the connection form σAσ^*A satisfies the Coulomb…

2018-08-05abs ↗pdf ↗

Sharp LL^\infty estimates for non-Kähler manifolds' PDEs are derived.

problem Sharp LL^\infty estimates for fully nonlinear PDEs on non-Kähler manifolds.
method Comparison with an auxiliary Monge-Ampère equation on a ball with Dirichlet boundary conditions.
result The method yields unique solutions and improves on existing methods.

In [Centro-affine invariants for smooth convex bodies, Int. Math. Res. Notices. doi: 10.1093/imrn/rnr110, 2011] Stancu introduced a family of centro-affine normal flows, pp-flow, for 1p<.1\leq p<\infty. Here we investigate the asymptotic behavior of the planar pp-flow for p=p=\infty in the class of smooth, origin-symme…

2013-12-17abs ↗pdf ↗

On any complete Riemannian manifold MM and for all p[2,)p\in [2,\infty), we prove a family of second order LpL^{p}-interpolation inequalities that arise from the following simple LpL^{p}-estimate valid for every uC(M)u \in C^{\infty}(M): uppuΔpu1[0,], \|\nabla u\|_{p}^p \leq \|u Δ_{p} u\|_1\in [0,\infty], where ΔpΔ_p denotes the $p…

2017-06-02abs ↗pdf ↗

We show that for an nn dimensional complete non Ricci flat gradient steady Ricci soliton with potential function ff bounded above by a constant and curvature tensor RmRm satisfying limrrRm<15\overline{\lim}_{r\to \infty} r|Rm|<\frac{1}{5}, then RmCer|Rm|\leq Ce^{-r} for some constant C>0C>0, improving a result of [36]. For any f…

2019-08-27abs ↗pdf ↗

The paper estimates the measure of nodal sets for solutions to a specific type of Schrödinger equation.

problem Estimating the measure of nodal sets for solutions to a Schrödinger equation with a potential function.
method Developed a dividing iteration procedure to estimate the upper bound of the (n1)(n-1)-dimensional Hausdorff measure of the nodal set.
result The upper bound of the measure of the nodal set is given by a specific formula involving the potential function's norms.

The paper proves inequalities linking Wasserstein distances and eigenfunctions in RCD(K,∞) spaces.

problem Estimating Wasserstein distances and their bounds in RCD(K,∞) spaces.
method Similar techniques used to prove inequalities involving pp-Wasserstein distances and Laplace eigenfunctions.
result Proves a conjectured lower bound on pp-Wasserstein distance between positive and negative parts of Laplace eigenfunctions.

The paper derives gradient estimates for solutions of certain equations on metric measure spaces.

problem Gradient estimates for solutions of specific nonlinear and elliptic equations on metric measure spaces.
method Derives Li-Yau and Hamilton's type gradient estimates for positive solutions.
result Gradient estimates for positive solutions of the equations on complete noncompact metric measure spaces.

The paper develops a deep neural network estimator for weakly dependent processes with various loss functions.

problem Learning weakly dependent processes with a broad class of loss functions.
method Sparse-penalized deep neural networks with ψψ-weak dependence structure and θθ_\infty-coefficients.
result Oracle inequalities for the excess risk of the sparse-penalized deep neural networks estimators.

Study area-minimizing hypersurfaces in manifolds with controlled curvature.

problem Characterize area-minimizing hypersurfaces in manifolds with Ricci curvature bounds.
method Apply Cheeger-Colding theory and blow-up techniques to analyze hypersurfaces.
result Proves continuity of volume functions and existence of area-minimizing limits.

Study potential theory to detect completeness of Finsler manifolds.

problem Detecting completeness of Finsler manifolds via potential theory.
method Potential theoretic aspects of eikonal and infinity Laplace operator, Liouville properties, maximum principles at infinity, viscosity solutions.
result Forward completeness of Finsler manifolds can be detected using Liouville properties and maximum principles at infinity.

Based on a construction due to B. Güneysu and S. Pigola (\textit{Adv. Math.} \textbf{281} (2015), pp.353--393), for each p[1,]p \in [1,\infty] and mZ2m \in \mathbb{Z}_{\geq 2}, we exhibit an mm-dimensional Riemannian open manifold M\mathcal{M} on which the LpL^p-Calderón--Zygmund estimate \begin{equation*} \|\nabla \nabl…

2019-02-28abs ↗pdf ↗

This paper discusses the existence of gradient estimates for second order hypoelliptic heat kernels on manifolds. It is now standard that such inequalities, in the elliptic case, are equivalent to a lower bound on the Ricci tensor of the Riemannian metric. For hypoelliptic operators, the associated "Ricci curvature" ta…

2005-08-22abs ↗pdf ↗