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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.

168,657 papers · 148 categories

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161321482642 · Jun 202019922001200920172026
48 results for continuous space

Paper proves weak unique continuation for harmonic functions on RCD spaces but finds counterexample for strong uniqueness.

problem Unique continuation of harmonic functions on RCD spaces, especially strong uniqueness.
method Establishes weak unique continuation theorem and provides counterexample for strong uniqueness.
result Found counterexample for strong unique continuation in RCD(K,N) spaces for N≥4 and K∈R.

Study on Hölder continuity of complex Monge-Ampère solutions on Stein spaces.

problem Understanding continuity of solutions to complex Monge-Ampère equations on Stein spaces.
method Analyzing solutions with LpL^p densities and Hölder boundary data on Stein spaces with isolated singularities.
result Solutions are Hölder continuous outside singular points if boundary data is Hölder continuous.

The paper studies curves in Finsler-like spaces and their properties.

problem Investigating properties of curves in asymmetric metric spaces induced by Finsler structures.
method Analyzes three types of absolutely continuous curves in Finsler-like spaces and establishes the Lisini structure theorem.
result Characterizes the nature of absolutely continuous curves in terms of dynamical transference plans.

Continuity of solutions to complex Monge-Ampère equations on compact Kähler spaces proved.

problem Continuity of solutions to complex Monge-Ampère equations on compact Kähler spaces.
method Analyzing bounded solutions on reduced, locally irreducible compact Kähler spaces.
result Proves continuity of solutions, affirming conjectures and solving open problems.

Study on heat equation and eigenfunctions on RCD spaces, proving unique continuation.

problem Unique continuation for caloric functions and eigenfunctions on RCD spaces.
method Establish weak unique continuation theorem for caloric functions and eigenfunctions on compact RCD(K,2) spaces.
result Existence of non-trivial eigenfunctions and caloric solutions vanishing up to infinite order at one point.

A map f:XYf:X\to Y between topological spaces is defined to be {\em scatteredly continuous} if for each subspace AXA\subset X the restriction fAf|A has a point of continuity. We show that for a function f:XYf:X\to Y from a perfectly paracompact hereditarily Baire Preiss-Simon space XX into a regular space YY the scattere…

2008-01-14abs ↗pdf ↗

Study continuity and Hölder estimates for solutions on Stein spaces.

problem Continuity and Hölder estimates for solutions to degenerate complex Monge-Ampère equations.
method Prove continuity up to the boundary and local Hölder estimates on the regular locus.
result Local Hölder estimates on the regular locus for solutions to degenerate complex Monge-Ampère equations.

By a fixed continuous map from a 33-space to itself, a knot in the 33-space may be mapped to another knot in the 33-space. We analyze possible knot types of them. Then we map a knot repeatedly by a fixed continuous map and analyze possible infinite sequences of knot types.

2014-09-01abs ↗pdf ↗

In 1997, J. Jost [27] and F. H. Lin [39], independently proved that every energy minimizing harmonic map from an Alexandrov space with curvature bounded from below to an Alexandrov space with non-positive curvature is locally Hölder continuous. In [39], F. H. Lin proposed a challenge problem: Can the Hölder continuity …

2013-11-06abs ↗pdf ↗

Continuous family of elliptic operators' projections maintain Cauchy data spaces.

problem Maintaining Cauchy data spaces for a continuous family of elliptic operators.
method Elementary tools and classical results applied to operator graphs, Sobolev spaces, and Green's formula.
result Orthogonalized Calderón projections form a continuous family of projections.

This study bridges discrete and continuous state spaces using the Ehrenfest process and diffusion models.

problem Understanding the relationship between discrete and continuous state spaces in stochastic processes.
method Investigates time-continuous Markov jump processes on discrete state spaces and their correspondence to state-continuous diffusion processes.
result The time-reversal of the Ehrenfest process converges to the time-reversed Ornstein-Uhlenbeck process, bridging discrete and continuous state spaces.

CGNNs use wavelets for continuous function generation in infinite-dimensional spaces.

problem Generating continuous functions in infinite-dimensional spaces for applications like inverse problems.
method Inspired by DCGAN, CGNNs use wavelet multiresolution analysis with convolutional and nonlinear layers.
result CGNNs can be injective under certain conditions on filters and nonlinearity, leading to Lipschitz stability estimates.

Proves conditions for Fourier transforms in rank 1 symmetric spaces.

problem Understanding Fourier transform bounds in symmetric spaces.
method Proves sufficient and necessary conditions using Lipschitz and Fourier type integral conditions.
result Establishes bounds for Fourier transforms in rank 1 symmetric spaces with specific moduli of continuity.

A core novelty of Alpha Zero is the interleaving of tree search and deep learning, which has proven very successful in board games like Chess, Shogi and Go. These games have a discrete action space. However, many real-world reinforcement learning domains have continuous action spaces, for example in robotic control, na…

2018-05-24abs ↗pdf ↗

Classifies when homeomorphism groups of stable surfaces have automatic continuity.

problem Determining when homeomorphism groups of stable surfaces are continuous.
method Developed a general framework to prove automatic continuity for homeomorphism groups, applied to stable surfaces and Stone spaces.
result Classification of stable surfaces with respect to automatic continuity of their homeomorphism groups.

Improves risk and variability measures continuity and consistency.

problem Improving the continuity and consistency of risk and variability measures.
method Analyzes convex and order bounded above functionals on Frechet lattices and Orlicz spaces.
result Order-continuous, law-invariant functionals on Orlicz spaces are strongly consistent everywhere.

Fluid approximations have seen great success in approximating the macro-scale behaviour of Markov systems with a large number of discrete states. However, these methods rely on the continuous-time Markov chain (CTMC) having a particular population structure which suggests a natural continuous state-space endowed with a…

2019-01-31abs ↗pdf ↗

TVS-FNNs can approximate any continuous function on expanded input spaces.

problem Processing a broader range of inputs like sequences and matrices.
method Proving a universal approximation theorem for TVS-FNNs.
result TVS-FNNs can approximate any continuous function on expanded input spaces.

Paper solves POMDPs in continuous time and discrete spaces.

problem Optimal decision making in discrete state and action space systems under partial observability.
method Combining optimal filtering theory and deep learning to solve a Hamilton-Jacobi-Bellman equation.
result Derives a mathematical description and solution approach for continuous-time POMDPs.

This primer explains diffusion models in general state spaces.

problem Diffusion models in general state spaces are not well-introduced.
method Develops discrete-time and continuous-time views of diffusion models, deriving Fokker-Planck and master equations.
result Unified understanding of diffusion models across continuous and discrete domains.

Study geometric flows with varying parameters and prove continuous dependence.

problem Continuous dependence of flows on parameters in geometric settings.
method Derived suitable topologies for vector fields and flows, proved new continuous dependence.
result Proved continuous dependence of flows on parameters in a general topological space.

New algorithm for aggregate inference in HMMs with continuous observations.

problem Inference in large populations with indistinguishable individuals and continuous measurements.
method Continuous observation collective forward-backward algorithm extending existing discrete case algorithm.
result Efficacy demonstrated through numerical experiments.

Solves complex Monge-Ampère equations with Hölder continuous solutions in Kähler manifolds.

problem Finding Hölder continuous solutions to complex Monge-Ampère equations.
method Analyzes the complex Monge-Ampère equation in Kähler manifolds using Sobolev spaces and Hölder continuity.
result Hölder continuity of solutions is equivalent to the measure's Hölder continuity in a complex Sobolev space.

Extends holomorphic functions on complex manifolds to larger spaces.

problem Extending holomorphic functions on complex manifolds.
method Proving the existence of a larger space B(S,X)B(S,X) for continuous maps that allows holomorphic continuation.
result Bounded holomorphic functions on C(S,X)C(S,X) can be extended to holomorphic functions on B(S,X)B(S,X).

Bayesian optimization tackles mixed discrete-continuous problems with Gaussian processes.

problem Optimizing problems with both discrete and continuous variables using costly simulations.
method Relaxing discrete variables into continuous latent variables, using Bayesian optimization, and incorporating compatibility constraints with Lagrangians.
result Comparative analysis of different mixed Bayesian optimization approaches.

CADD improves generative quality by augmenting discrete diffusion with continuous latent space.

problem Loss of semantic information between denoising steps in discrete diffusion models.
method Introduces a framework that augments discrete state space with a continuous latent space, allowing for graded, informative masked tokens.
result CADD improves generative quality across text generation, image synthesis, and code modeling.

This paper introduces first order Sobolev spaces on certain rectifiable varifolds. These complete locally convex spaces are contained in the generally nonlinear class of generalised weakly differentiable functions and share key functional analytic properties with their Euclidean counterparts. Assuming the varifold to s…

2015-09-03abs ↗pdf ↗

New IRL algorithm for continuous state spaces with formal guarantees.

problem Finding a reward function for expert behavior in continuous state spaces.
method Modeling the system using orthonormal functions and providing correctness proofs.
result Proof of correctness and formal guarantees on sample and time complexity.