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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.

169,341 papers · 148 categories

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4998147196 · Jun 202019922001200920182026
48 results for critical length

Critical nets in k-space have bounded edge lengths and vertices.

problem Understanding the structure and constraints of critical nets in k-dimensional space.
method Analyzing the properties of critical nets under fixed leaf positions and constraints.
result The total length of edges not incident with 1-valent vertices is bounded, and the degree and number of vertices are also bounded.

Critical trajectories in a sphere are found for a specific bending functional.

problem Finding closed trajectories in a sphere for a specific bending functional.
method Existence of infinitely many closed trajectories shown for a given Lagrange multiplier.
result Existence of closed trajectories dependent on a pair of relatively prime natural numbers.

The paper proves critical lengths for loops on positively curved manifolds.

problem Existence and properties of closed geodesics on positively curved manifolds.
method Analyzing critical lengths of loops and geodesics on Riemannian manifolds with positive sectional curvature.
result Critical lengths attain their maximal value of 2π only for the round metric on the n-sphere.

New proofs of Cheeger-like inequalities for coexact 1-forms on hyperbolic manifolds.

problem Cheeger-like inequalities for coexact 1-forms on hyperbolic manifolds.
method Properties of magnetic geodesic flow and behavior at Mañé's critical energy level.
result Improved Cheeger constants and volume dependence in proofs.

The paper studies critical points and flows of a G2G_2-Hilbert functional on manifolds with circle actions.

problem Critical points and flows of the G2G_2-Hilbert functional on manifolds with S1\mathbb S^1-actions.
method Analysis of S1\mathbb S^1-invariant G2G_2-structures, reduction to a 6-dimensional quotient, and derivation of a negative L2L^2-gradient flow.
result The unnormalized flow admits only trivial stationary configurations: flat connection, scalar-flat base metric, and constant fiber length.

The paper studies how curves evolve under area constraints and converges to a critical point.

problem Evolution of plane curves with fixed area under elastic energy gradient.
method Local and global existence of the flow, simplicity assumption, Łojasiewicz--Simon inequality.
result The evolving curve's length remains bounded and converges to a critical point.

The paper connects geodesic nets to distance function critical points.

problem Understanding the relationship between geodesic nets and distance function critical points.
method Established a relationship between geodesic nets and critical points of the distance function.
result Bounded the number of balanced points and the length of certain minimizing geodesic nets.

Decouples critic chunk length from policy to improve policy reactivity and performance.

problem Bootstrapping bias and difficulty in extracting optimal policies from chunked critics.
method Optimizes policy against a distilled critic for partial action chunks, allowing shorter chunks for policy.
result Reliably outperforms prior methods on long-horizon offline goal-conditioned tasks.

In 1974, Gehring posed the problem of minimizing the length of two linked curves separated by unit distance. This constraint can be viewed as a measure of thickness for links, and the ratio of length over thickness as the ropelength. In this paper we refine Gehring's problem to deal with links in a fixed link-homotopy …

2004-02-13abs ↗pdf ↗

Study curves evolving on hypersurfaces with free boundaries, preserving length.

problem Evolution of curves on hypersurfaces with free boundaries.
method Nonlocal evolution equation with nonlinear boundary conditions, short-time existence, uniqueness, and parabolic energy estimates.
result Global existence and convergence to critical points proved.

We study metric and analytic properties of generalized lemniscates E_t(f)={z:ln|f(z)|=t}, where f is an analytic function. Our main result states that the length function |E_t(f)| is a bilateral Laplace transform of a certain positive measure. In particular, the function ln|E_t(f)| is convex on any interval free of cri…

2003-06-23abs ↗pdf ↗

Study curves evolving by gradient flow of elastic energy, proving existence, smoothing, and convergence.

problem Evolution of curves with fixed length and clamped boundary conditions.
method Negative L2L^2-gradient flow of elastic energy, existence, parabolic smoothing, constrained Lojasiewicz-Simon gradient inequality.
result Convergence to a critical point as time tends to infinity.

The paper proves stability of critical points for conformally invariant Lagrangians.

problem Stability of critical points for conformally invariant Lagrangians under weak convergence.
method Upper-semi-continuity of Morse index plus nullity established for critical points.
result The sum of Morse indices and nullity is bounded from above by the sum of the Morse indices plus the nullity of the weak limit and bubbles.

The paper classifies and analyzes the stability of elastic curves with fixed endpoints.

problem Classification and stability of pinned elasticae.
method Critical points of the length-penalized elastic bending energy among planar curves with fixed endpoints.
result Explicit parametrization and classification of all critical points with a threshold parameter \(\hatλ \simeq 0.70107\).

Study of closed trajectories in hyperbolic plane with specific curvature constraints.

problem Critical trajectories in hyperbolic plane for a specific energy function.
method Classification of critical trajectories based on momentum causal character, proof of existence of closed trajectories.
result Existence of countably many closed trajectories with time-like momentum.

Kernel networks' stability edge linked to Fisher Information singularity.

problem Understanding the stability edge in high-capacity kernel Hopfield networks.
method Statistical manifold analysis and Riemannian geometry.
result The Ridge of Optimization corresponds to the Edge of Stability, revealing a dual equilibrium.

We present new computations of approximately length-minimizing polygons with fixed thickness. These curves model the centerlines of "tight" knotted tubes with minimal length and fixed circular cross-section. Our curves approximately minimize the ropelength (or quotient of length and thickness) for polygons in their kno…

2010-02-08abs ↗pdf ↗

Study finds minimal length networks connecting three points in Heisenberg group.

problem Finding minimal length networks connecting three points in the Heisenberg group.
method Proved existence of minimal horizontal triods, formulated curve shortening flow, used numerical experiments.
result Characterized and deformed minimal horizontal triods into critical points for length functional.

Let MM be a Riemannian 22-sphere. A classical theorem of Lyusternik and Shnirelman asserts the existence of three distinct simple non-trivial periodic geodesics on MM. In this paper we prove that there exist three simple periodic geodesics with lengths that do not exceed 20d20d, where dd is the diameter of MM. We a…

2014-10-30abs ↗pdf ↗

A Riemannian or Finsler metric on a compact manifold M gives rise to a length function on the free loop space ΛM, whose critical points are the closed geodesics in the given metric. If X is a homology class on ΛM, the minimax critical level cr(X) is a critical value. Let M be a sphere of dimension >2, and fix a metric …

2011-05-04abs ↗pdf ↗

The paper finds curves minimizing elastic energy pinned at endpoints.

problem Finding curves that minimize elastic energy with fixed endpoints.
method Applying the shooting method to identify and classify critical points.
result Critical points consist of wavelike elasticae, and minimizers have no loops or interior inflection points.

The ropelength problem asks for the minimum-length configuration of a knotted diameter-one tube embedded in Euclidean three-space. The core curve of such a tube is called a tight knot, and its length is a knot invariant measuring complexity. In terms of the core curve, the thickness constraint has two parts: an upper b…

2011-02-16abs ↗pdf ↗

A new sampler tackles critical phenomena by leveraging scale invariance.

problem Scale invariance at criticality causes sampling difficulties in Monte Carlo simulations.
method RiGCS combines MLMC-HB with generative models to improve sampling efficiency.
result RiGCS achieves significantly higher effective sample size than existing methods.

A comparison of SLDS and LSTM for pedestrian behavior prediction shows SLDS works better with shorter sequences.

problem Time-critical pedestrian behavior prediction in autonomous vehicles.
method Comparison of a switching linear dynamical system (SLDS) and a three-layered bi-directional LSTM neural network.
result SLDS achieves higher accuracy with shorter sequences (10 samples) compared to LSTM's 80% accuracy with 100 samples.

Study critical exponents on hyperbolic surfaces with long boundaries using Weil-Petersson measures.

problem Analyzing critical exponents on hyperbolic surfaces with long boundaries.
method Using spine graph construction and comparing normalized Weil-Petersson and Kontsevich measures.
result Asymptotic convergence-in-mean result of normalized Weil-Petersson measures to normalized Kontsevich measures.

New model predicts ICU patient stays more accurately.

problem Efficient ICU bed allocation under resource constraints.
method Temporal Pointwise Convolutional Networks (TPC) combining temporal and pointwise convolutions.
result Significant performance improvements over LSTM and Transformer models.

New model predicts ICU patients' stay duration efficiently.

problem Efficient ICU bed allocation under resource constraints.
method Temporal Pointwise Convolution (TPC) model combining temporal and pointwise convolutions.
result Significant performance improvements over LSTM and Transformer models.

Quantum field theory connects deep neural networks to criticality.

problem Understanding the criticality and training dynamics of deep neural networks.
method Constructing quantum field theory for deep neural networks, computing corrections to correlation functions.
result Found precise analogy with O(N)O(N) vector model, providing corrections to correlation length.

TREP learns pedestrian trajectories efficiently without needing full datasets.

problem Learning fixed-length vector representations of variable-length trajectories.
method Actor-critic sequence-to-sequence autoencoder with spatial-aware objective function.
result TREP efficiently learns trajectory representations without needing full datasets.