Research
On-device research index

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.

168,742 papers · 148 categories

Trend · papers per month

8.3%16.7%25.0%33.3% · Jul 199219922001200920172026
48 results for band width inequalities

Extends spectral torus band inequalities for compact manifolds with scalar curvature bounds.

problem Proving upper bounds for the width of compact manifolds with boundary.
method Utilizes spacetime harmonic functions, μ-bubbles, and spinorial Callias operators.
result Generalizes Schoen-Yau black hole existence theorem to higher dimensions.

The paper proves rigidity for certain product spaces and bounds for band widths.

problem Proving rigidity for product spaces and bounds for band widths.
method Combining stable weighted slicing with a spectral Dirac operator argument.
result Closed spin (Mn,g)(M^n,g) is isometrically covered by SnmimesRmS^{n-m} imes\mathbb{R}^m under certain conditions.

The study refines known counterexamples in 4D to satisfy certain inequalities.

problem Addressing counterexamples in Gromov's and Rosenberg's conjectures.
method Analyzing simply connected and non-simply connected four manifolds up to homeomorphism.
result Gromov's and Rosenberg's conjectures hold for simply connected four manifolds up to homeomorphism.

The Rosenberg index vanishes if a manifold admits a wide Riemannian band or cube-like domain.

problem Proving the Rosenberg index does not vanish for certain manifolds.
method Analyzing isometric immersions of wide Riemannian bands and cube-like domains on spin manifolds.
result Closed spin manifolds with infinite KO\mathcal{KO}-width have non-vanishing Rosenberg index.

Develops connections between operator K-theory and positive scalar curvature.

problem Positive scalar curvature on closed spin manifolds and Gromov's band width conjecture.
method Quantitative index theory and related techniques.
result The propagation of the index of the Dirac operator is inversely related to the curvature lower bound.

We prove optimal systolic inequalities on Finsler Mobius bands relating the systole and the height of the Mobius band to its Holmes-Thompson volume. We also establish an optimal systolic in- equality for Finsler Klein bottles of revolution, which we conjecture to hold true for arbitrary Finsler metrics. Extremal metric…

2015-03-04abs ↗pdf ↗

Proves a quantitative index theorem for positive scalar curvature metrics.

problem Studying conjectures and open questions on positive scalar curvature.
method Quantitative relative index theorem and λλ-Lipschitz rigidity theorem.
result Positive answers to Gromov's open questions on scalar curvature.

The study explores positive scalar curvature metrics on non-orientable manifolds and their covers.

problem Existence of positive scalar curvature metrics on non-orientable manifolds and their covers.
method Extends Schoen-Yau inductive descent approach to non-orientable manifolds.
result Examples of non-orientable manifolds with positive scalar curvature metrics on their orientation double covers but not on homotopy equivalent manifolds.

The paper explores rigidity theorems for spectral curvature bounds in 3-manifolds.

problem Classical rigidity results in scalar curvature geometry are extended to the spectral setting.
method Warped μμ-bubble method is systematically employed to classify stable weighted minimal hypersurfaces and establish band width estimates.
result Classification theorems and band width estimates for spectral Ricci and scalar curvatures are proven.

Develops a robust hedging valuation adjustment measure for dynamic hedging under liquidity-demand stress.

problem Dynamic hedging under liquidity-demand stress
method Define robust HVA as the worst-case expected loss over a relative-entropy neighborhood of the loss distribution generated by simulated rebalancing and maturity-unwind trades.
result Distinguishes fixed-radius convention from fixed benchmark-stress convention and shows wider no-trade bands lower rebalancing costs but raise hedge-error risk.

Paper develops a robust HVA measure for dynamic hedging under liquidity stress.

problem Valuation of dynamic hedging under liquidity stress.
method Defines robust HVA as worst-case expected loss over a relative-entropy neighborhood of loss distributions for no-trade bands.
result Wider no-trade bands lower rebalancing costs but increase hedge-error risk.

This work uses sampling theory to analyze smoothness and error bounds of finite neural networks.

problem Analyzing the function space of finite neural networks and providing error bounds.
method Applying sampling theory to finite neural networks with non-expansive activation functions, considering both deterministic and random sampling.
result Novel error bounds for univariate neural networks under band-limited input assumption, highlighting the advantage of deterministic uniform sampling.

Derives generalizations of the long neck principle and spectral width inequality.

problem Understanding the spectral width of geodesic collar neighborhoods.
method Spinorial Callias operator approach and relative Gromov-Lawson pair.
result Generalizations of the long neck principle and spectral width inequality.

The paper constructs optimal confidence bands for kernel gradient flow estimators.

problem Estimating generalization error and constructing confidence bands for kernel gradient flows.
method Established convergence rates and constructed optimal confidence bands under capacity-source condition.
result Optimal confidence bands for kernel gradient flows have shrinkage rates close to minimax optimal rates.

The paper improves confidence regions for band-limited functions using tighter norm bounds and majority voting.

problem Constructing reliable confidence regions for band-limited functions from noisy data.
method Improved norm bounds using Hoeffding's inequality and empirical Bernstein bound, majority voting to aggregate intervals.
result Confidence intervals retain their simultaneous coverage guarantee even when aggregated from random subsamples.

A number of results for C2^2-smooth surfaces of constant width in Euclidean 3-space E3{\mathbb{E}}^3 are obtained. In particular, an integral inequality for constant width surfaces is established. This is used to prove that the ratio of volume to cubed width of a constant width surface is reduced by shrinking it along…

2007-04-24abs ↗pdf ↗

Define mass invariant for asymptotically hyperbolic 3-manifolds with toroidal infinity.

problem Define mass invariant for asymptotically hyperbolic 3-manifolds with toroidal infinity.
method Define mass invariant for asymptotically hyperbolic 3-manifolds with toroidal infinity.
result Define mass invariant for asymptotically hyperbolic 3-manifolds with toroidal infinity.

The paper establishes a sub-additive inequality for volume and ε-phase-transition spectra of Riemannian manifolds.

problem Analyzing the volume and ε-phase-transition spectra of Riemannian manifolds.
method Using the Almgren-Pitts width and Allen-Cahn approach.
result Proves sub-additive inequalities for volume and ε-phase-transition spectra.

UTOPIA aggregates multiple prediction intervals efficiently.

problem Constructing optimal prediction intervals for various real-world data problems.
method UTOPIA is a universally trainable strategy using linear or convex programming.
result UTOPIA constructs prediction intervals with small average width and high coverage probability.

Sharp distance estimates for compact spin manifolds using Dirac operator.

problem Metric inequalities for compact spin manifolds with lower bounds on scalar and mean curvatures.
method Using the Dirac operator technique with spectral estimates and local boundary conditions.
result Optimal estimates for Riemannian bands and long neck problem solutions.

Let MM be a closed connected spin manifold such that its spinor Dirac operator has non-vanishing (Rosenberg) index. We prove that for any Riemannian metric on V=M×[1,1]V = M \times [-1,1] with scalar curvature bounded below by σ>0σ> 0, the distance between the boundary components of VV is at most Cn/σC_n/\sqrtσ, where $C_n = \…

2019-05-21abs ↗pdf ↗

Study shows limits on deep and shallow neural networks for approximating compact sets.

problem Understanding the limitations of deep and shallow neural networks in approximating compact sets.
method Proved Carl's type inequalities for approximation error, using Lipschitz widths.
result Lower bounds on approximation error for neural network outputs.

The paper bridges stochastic control and deep hedging for European call options with transaction costs.

problem Hedging and pricing European call options with proportional transaction costs.
method Complementary perspectives: stochastic control and deep hedging. Two architectures proposed: NTBN-Delta and WW-NTBN.
result WW-NTBN converges faster, matches no-transaction bands more closely, and generalizes well across transaction cost regimes.

Optimal constants for isoperimetric inequalities involving Steklov eigenvalues on surfaces are determined.

problem Determining optimal constants for isoperimetric inequalities involving Steklov eigenvalues on surfaces.
method Analyzing Riemannian surfaces with boundary, considering both given topology and conformal class, and proving inequalities relating conformal invariants and eigenvalues.
result New examples of topological disks realizing optimal constants and inequalities relating conformal invariants of Steklov eigenvalues on surfaces and disks are provided.

The paper explores geometric relationships in manifolds with curvature constraints, proving new inequalities and rigidity results.

problem Understanding geometric features of manifolds with curvature constraints.
method Comparison theorems and spacetime harmonic functions.
result Partial resolution of Gromov's conjecture and new characterizations of geometries.

In this work we construct a sequence of Riemannian metrics on the three-sphere with scalar curvature greater than or equal to 66 and arbitrarily large widths. Our procedure is based on the connected sum construction of positive scalar curvature metrics due to Gromov and Lawson. We develop analogies between the area of…

2015-03-08abs ↗pdf ↗

Given a 2-dimensional surface M and a constant C we construct a Riemannian metric g, so that diameter diam(M,g)=1 and every 1-cycle dividing M into two regions of equal area has length >C. It follows that there exists no universal inequality bounding 1-width of M in terms of its diameter. This answers a question of Ste…

2013-07-08abs ↗pdf ↗

Random groups prove length constraints on product of conjugates.

problem Quantify products of conjugates in random groups.
method Sharp van Kampen diagram argument and boundary block-counting.
result Prove a sharp inequality for products of conjugates in random groups.

Gradient descent converges linearly in finite-width networks with positive NTK and compatible conditions.

problem Local convergence of gradient descent in finite-width networks.
method Positive Neural Tangent Kernel (NTK), local Polyak-Łojasiewicz inequality, fixed-step containment in Locally Quasi-Convex Region (LQCR).
result Linear convergence achieved under specific conditions.

A new pricing controller handles resource constraints to infer target prices effectively.

problem Resource constraints prevent fixed-price inference, leading to support exclusion.
method Formalizes support-exclusion failure, designs a target-aware controller, and uses a realized information clock.
result The controller can certify feasible target bands and log continuous local densities, leading to polynomial rates of inference.

The betting CI outperforms classical methods in constructing confidence intervals for bounded means.

problem Constructing nonasymptotic confidence intervals for bounded means.
method A betting-based approach to define and time-uniform variants of confidence intervals (CSs).
result The betting CI matches the fundamental limits, outperforming existing empirical Bernstein CIs.

For a null-homologous transverse link T\mathcal T in a general contact manifold with an open book, we explore strongly quasipositive braids and Bennequin surfaces. We define the defect δ(T)δ(\mathcal T) of the Bennequin-Eliashberg inequality. We study relations between δ(T)δ(\mathcal T) and minimal genus Bennequin surface…

2017-03-27abs ↗pdf ↗

The volume spectrum of fiber bundles is bounded by the product of the base's volume spectrum and the fiber's volume.

problem Bounding the volume spectrum of fiber bundles and understanding its relationship with the base and fibers.
method Established an inequality relating the volume spectrum of a fiber bundle to the volume spectrum of its base and the volume of the largest fiber.
result The volume spectrum of a fiber bundle is bounded by the product of the volume spectrum of the base and the volume of the largest fiber.