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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.

168,742 papers · 148 categories

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48 results for parabolic approximation

Paper quantifies neural operators' efficiency for solving nonlinear parabolic PDEs.

problem Quantifying the efficiency of neural operators for solving nonlinear parabolic PDEs.
method Deriving approximation rates by transferring PDEs to integral equations and leveraging Picard's iteration.
result Neural operators can efficiently approximate solution operators of nonlinear PDEs without exponential complexity growth.

A major challenge in current optimization research for deep learning is to automatically find optimal step sizes for each update step. The optimal step size is closely related to the shape of the loss in the update step direction. However, this shape has not yet been examined in detail. This work shows empirically that…

2019-03-28abs ↗pdf ↗

The paper proves smoothness of transition layers in the Allen-Cahn equation.

problem Proving uniform C2,αC^{2,\alpha} regularity for transition layers.
method Utilizes Allen-Cahn monotonicity formula, Lipschitz approximation, and blowups.
result Shows uniform C2,αC^{2,\alpha} regularity for transition layers converging to smooth mean curvature flows.

We consider the Cauchy problem associated with a general parabolic partial differential equation in dd dimensions. We find a family of closed-form asymptotic approximations for the unique classical solution of this equation as well as rigorous short-time error estimates. Using a boot-strapping technique, we also provi…

2013-12-11abs ↗pdf ↗

We give a new proof of Brakke's partial regularity theorem up to C^{1,ς} for weak varifold solutions of mean curvature flow by utilizing parabolic monotonicity formula, parabolic Lipschitz approximation and blow-up technique. The new proof extends to a general flow whose velocity is the sum of the mean curvature and an…

2011-11-03abs ↗pdf ↗

New method uses tensor trains for efficient PDE approximation.

problem High-dimensional PDEs and the curse of dimensionality.
method Tensor trains and backward stochastic differential equations for parabolic PDEs.
result Achieves a favorable trade-off between accuracy and computational efficiency.

In this paper we introduce a numerical method for nonlinear parabolic PDEs that combines operator splitting with deep learning. It divides the PDE approximation problem into a sequence of separate learning problems. Since the computational graph for each of the subproblems is comparatively small, the approach can handl…

2019-07-08abs ↗pdf ↗

The stability and robustness of compact schemes for parabolic PDEs are analyzed.

problem Stability and robustness of compact schemes for solving parabolic PDEs.
method Compact spatial discretization, Crank-Nicolson temporal discretization, eigenvalue analysis of amplification matrix.
result An upper bound on the condition number of the amplification matrix is derived, showing stability.

New learning scheme solves high-dimensional semi-linear PDEs using sparse grids and Picard approximations.

problem Solving high-dimensional semi-linear parabolic PDEs.
method Probabilistic learning scheme based on Picard iteration with SGD, employing sparse grid approximation.
result Convergence proof and polynomial complexity in ε1ε^{-1} for high-dimensional PDEs.

Tensor trains simplify solving complex PDEs efficiently.

problem Solving high-dimensional parabolic PDEs using traditional methods is computationally infeasible.
method Reformulate PDEs as backward stochastic differential equations and use tensor train format for compression and efficient computation.
result Tensor train methods achieve a good balance between accuracy and computational efficiency.

Study anisotropic flows solving Orlicz-Minkowski problems, proving existence and new results.

problem Anisotropic non-homogeneous Gauss curvature flows and Orlicz-Minkowski problems.
method Long-time existence and behavior analysis, parabolic approximation method, curvature flow.
result Existence and new results for Orlicz-Minkowski problems, including LpL_p versions.

Quantum machine learning solves high-dimensional PDEs with lower variance and improved accuracy.

problem Approximating solutions to high-dimensional parabolic PDEs.
method Pure Variational Quantum Circuit (VQC) for BSDE approximation, using temporal discretization and Monte Carlo simulation.
result VQC achieves lower variance and improved accuracy in most cases, particularly in highly nonlinear regimes.

Deep neural nets approximate high-dimensional HJB equations efficiently.

problem Approximating solutions to high-dimensional HJB equations.
method Deep neural networks for approximating solutions.
result Deep neural networks can approximate solutions without the curse of dimensionality.

Defines connections on parabolic vector bundles for Lie algebroids.

problem Characterizing parabolic vector bundles with Lie algebroid connections.
method Constructs Lie algebroid connections on parabolic vector bundles, uses Atiyah exact sequence.
result Characterizes stable Lie algebroid vector bundles with connections.

Study describes metrics on moduli space of Higgs bundles, proving exponential decay rate.

problem Analyzing the geometry of moduli space of Higgs bundles.
method Perturbing from approximate solutions to describe metrics, comparing to semi-flat metrics.
result Proves exponential decay rate of gL2gsf=O(eγt)g_{L^2} - g_{\mathrm{sf}} = O(\mathrm{e}^{-γt}).

Computes deformations of parabolic structures on Riemann surfaces.

problem Infinitesimal deformations of parabolic connections and opers.
method Computes infinitesimal deformations of quadruples (X, S, E*, D) and (X, S, D).
result Monodromy map is an immersion from the moduli space of triples to the character variety.

D2SRM solves complex PDEs using deep learning.

problem High-dimensional, Hessian-dependent fully nonlinear parabolic PDEs.
method Single scalar space-time network generating derivative-consistent approximations trained through residuals and penalties.
result Well-posedness and convergence theory established for globally Lipschitz equations.

Paper analyzes and proves convergence of a new method for solving complex PDEs.

problem Solving high-dimensional nonlinear PDEs and PIDEs with random neural networks.
method Random deep splitting method using random neural networks.
result The method converges to the unique viscosity solution of nonlinear PDEs and PIDEs.

Reductive (or semisimple) algebraic groups, Lie groups and Lie algebras have a rich geometry determined by their parabolic subgroups and subalgebras, which carry the structure of a building in the sense of J. Tits. We present herein an elementary approach to the geometry of parabolic subalgebras, over an arbitrary fiel…

2016-07-01abs ↗pdf ↗

We provide some criteria to pp-parabolicity of Riemannian submersions. In particular, if NN is pp-parabolic and π:MNπ:M\to N is a Riemannian submersion with uniformly bounded volume of fibers, then MM is also pp-parabolic. In the case of warped manifolds we characterize pp-parabolicity in terms of a volume growth c…

2015-08-04abs ↗pdf ↗

Defines non-parabolic curves in spatial hybrid space with applications.

problem Defining and analyzing non-parabolic spatial hybrid framed curves.
method Definition and proof of existence and uniqueness theorem for non-parabolic spatial hybrid framed curves.
result Existence and uniqueness theorem for non-parabolic spatial hybrid framed curves.

We introduce a notion of admissible Hermitian metrics on parabolic bundles and define positivity properties for the same. We develop Chern-Weil theory for parabolic bundles and prove that our metric notions coincide with the already existing algebro-geometric versions of parabolic Chern classes. We also formulate a Gri…

2017-09-23abs ↗pdf ↗

Consider a relatively hyperbolic group G. We prove that if G is finitely presented, so are its parabolic subgroups. Moreover, a presentation of the parabolic subgroups can be found algorithmically from a presentation of G, a solution of its word problem, and generating sets of the parabolic subgroups. We also give an a…

2010-10-06abs ↗pdf ↗

Maximal regularity for nonuniformly parabolic problems with normal degeneration.

problem Nonuniformly parabolic boundary value problems with degeneration in normal direction.
method Theory of linear parabolic differential equations on noncompact Riemannian manifolds.
result Optimal solution theory for natural degeneration case.

New estimates for nodal and singular sets of parabolic inequalities.

problem Understanding the structure of nodal and singular sets in parabolic inequalities.
method Establishing new estimates for the size and structure of nodal and singular sets using parabolic Lipschitz coefficients.
result Almost all nodal and singular sets are covered by regular parabolic Lipschitz graphs with estimates.

Study gauge theory of real and quaternionic parabolic bundles over real curves.

problem Examining gauge theoretic aspects of real and quaternionic parabolic bundles over real curves.
method Investigate orbits of connections under gauge groups for fixed real or quaternionic structures.
result Gauge-theoretic quotients of real or quaternionic connections are inside the real points of moduli of holomorphic bundles.

Proves monotonicity of parabolic frequency on all manifolds without curvature assumptions.

problem Monotonicity of parabolic frequency on manifolds.
method Analyzes parabolic frequency function on manifolds, proving monotonicity without curvature assumptions.
result Monotonicity of parabolic frequency on all manifolds, no curvature assumption needed.

The goal of this paper is to classify parametrically parabolic submanifolds in any codimension. First, we describe the ones that are ruled and show that they are the only parabolic submanifolds that admit an isometric immersion as a hypersurface. Then, we classify the nonruled ones by two different means. In fact, we p…

2009-04-01abs ↗pdf ↗

The paper defines parabolic subgroups for complex braid groups and proves they form a lattice.

problem Defining and characterizing parabolic subgroups in complex braid groups.
method Introducing and studying parabolic subgroups of generalized braid groups associated with complex reflection groups.
result Parabolic subgroups form a lattice in most cases, with specific properties and conjectures about hyperbolicity.

Sharp Lipschitz bounds and gradient estimates for fully nonlinear parabolic equations.

problem Understanding moduli of continuity for fully nonlinear parabolic equations.
method Proving moduli of continuity of viscosity solutions are subsolutions of one-dimensional parabolic equations.
result Sharp Lipschitz bounds and gradient estimates for fully nonlinear parabolic equations with bounded initial data.

We show that, in an Artin-Tits group of spherical type, the intersection of two parabolic subgroups is a parabolic subgroup. Moreover, we show that the set of parabolic subgroups forms a lattice with respect to inclusion. This extends to all Artin-Tits groups of spherical type a result that was previously known for bra…

2017-12-19abs ↗pdf ↗