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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.

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48 results for infinite-dimensional representations

Maximal representations in infinite dimensional Hermitian spaces are studied with boundary maps.

problem Characterizing maximal representations in infinite dimensional Hermitian symmetric spaces.
method Definition of Toledo number, study of boundary maps, geometric constructions.
result Existence and non-existence conditions for maximal representations.

New infinite-dimensional representations with bounded multiplicity found for Lie groups.

problem Finding representations with bounded multiplicity for Lie groups.
method Proving existence of infinite-dimensional irreducible representations with bounded multiplicity property.
result Infinite-dimensional irreducible representations with bounded multiplicity found for non-compact semisimple Lie groups.

Convex-cocompact groups in infinite hyperbolic space are deformable.

problem Understanding deformability of convex-cocompact groups in infinite hyperbolic spaces.
method Proving convex-cocompact representations form an open set and using bending to deform them.
result Deformable convex-cocompact representations of surface groups not conjugate to exotic PSL(2,R) representations.

We present results connecting crossratios, representations of surface groups in SL(n,R)SL(n,\mathbb R) and in an infinite dimensional group related to the group of diffeomorphisms of the circle. More precisely, we show that representations of a surface group in SL(n,R)SL(n,\mathbb R) can be interpreted as crossratios satisfying …

2005-02-21abs ↗pdf ↗

Study on learnability of Schatten--von Neumann operators in learning theory.

problem Learnability of Schatten--von Neumann operators in infinite-dimensional settings.
method Adapted representer theorem to convert infinite-dimensional optimization to convex finite-dimensional problem.
result Schatten--von Neumann operators are probably approximately correct (PAC)-learnable via practical convex program for any p<p < \infty.

Develops control and observer methods for complex systems.

problem Controlling and observing infinite-dimensional systems with boundary actuation.
method Energy-Casimir method and port-Hamiltonian system representation.
result Control law and observer designed for Kirchhoff-Love plate example.

Paper develops a duality approach for robust loss functions in infinite-dimensional RKHSs.

problem Robustness issues in infinite-dimensional RKHSs with operator-valued kernels.
method Develops a duality approach to solve OVK machines for various loss functions.
result Empirical improvements and theoretical stability analysis for robust structured data applications.

The relations between the infinite dimensional geometry of qRq_R-conformal symmetries at qRq_R\to\infty, Berezin quantization of the Lobachevskii plane and Karasev-Maslov asymptotic quantization are explicated. Some aspects of the ``approximate'' representation theory are discussed.

1997-02-02abs ↗pdf ↗

We sharpen the construction of representation space in the paper "Principal Series Representations of Infinite Dimensional Lie Groups II: Construction of Induced Representations". We show that the principal series representation spaces constructed there, are completions of spaces of sections of Hilbert bundles rather t…

2012-10-19abs ↗pdf ↗

Infinite dimensional measure-valued processes modeled as polynomial diffusions.

problem Modeling term structure in energy markets using measure-valued polynomial diffusions.
method Introduced measure-valued polynomial diffusions, derived moment formulas, and characterized infinitesimal generators.
result Recovery of measure-valued affine diffusions as a special case.

Adjoint sampler targets infinite-dimensional function spaces for efficient sampling.

problem Limited theory and algorithms for sampling infinite-dimensional function spaces.
method Adjoint Sampler for infinite-dimensional function spaces based on stochastic maximum principle.
result FAS achieves superior performance in synthetic and real systems.

This paper tackles infinite-dimensional diffusion bridge simulation using operator learning.

problem Challenges in simulating diffusion bridges for modeling natural data due to intractable drift terms and continuous data representations.
method Merges score matching techniques with operator learning to directly learn infinite-dimensional bridges.
result Demonstrates high efficacy in simulating diffusion bridges for various applications, including real-world biological data.

Paper tackles infinite-dimensional optimization and Bayesian learning for stochastic differential equations.

problem Learning the drift function of stochastic differential equations with uncertainty quantification.
method Combines infinite-dimensional optimization results with Bayesian hierarchical framework, incorporating shrinkage priors for sparse learning.
result Systematic approach for accurate learning of stochastic differential equations with uncertainty quantification.

Fourier representation improves KSD for infinite-dimensional data.

problem Applying KSD to infinite-dimensional data.
method Combining measure equations with kernel methods for a Fourier representation of KSD.
result KSD can separate measures in infinite-dimensional Hilbert spaces.

In this paper, we introduce a study of prolongations of homogeneous vector bundles. We give an alternative approach for the prolongation. For a given homogeneous vector bundle E, we obtain a new homogeneous vector bundle. The homogeneous structure and its corresponding representation are derived. The prolongation of in…

2013-10-07abs ↗pdf ↗

The paper analyzes the stability of an observer error in a vibrating string system.

problem Stability analysis of observer error in a vibrating string system.
method Abstract Cauchy problem reformulation and application of LaSalle's invariance principle for infinite-dimensional systems.
result The observer error is asymptotically stable.

Infinite-dimensional polynomial diffusions preserve tractability of finite-dimensional counterparts.

problem Modeling and analyzing infinite-dimensional probability measure-valued diffusions.
method Introduced polynomial diffusions, transferred properties from finite to infinite dimensions, and proved well-posedness of martingale problems.
result Tractability of finite-dimensional polynomial processes is preserved in the infinite-dimensional setting.

We characterize conjugate nonparametric Bayesian models as projective limits of conjugate, finite-dimensional Bayesian models. In particular, we identify a large class of nonparametric models representable as infinite-dimensional analogues of exponential family distributions and their canonical conjugate priors. This c…

2010-12-02abs ↗pdf ↗

The paper explores knot invariants using quantum dilogarithm representations and compares them to compact cases.

problem Constructing non-compact knot invariants using infinite-dimensional representations.
method Using Reshetikhin-Turaev approach and modular transformations of conformal blocks.
result Explicit expressions for non-compact knot invariants can be derived from ordinary ones, differing in homogeneity.

A geometric interpretation of approximate (HSHS-projective or TCTC-projective) representations of the Witt algebra wCw^C by qRq_R-conformal symmetries in the Verma modules VhV_h over the Lie algebra sl(2,C)sl(2,C) is established and some their characteristics are calculated. It is shown that the generators of representation…

1998-06-25abs ↗pdf ↗

Study projective representations of infinite-dimensional Hilbert-Lie groups.

problem Characterize and classify representations of Hilbert-Lie groups.
method Use covariance with respect to one-parameter groups of automorphisms and implement perturbation theory.
result Explicit determination of central extensions for projective representations.

New representation of PSL2(R) on infinite hyperbolic space via convex bodies.

problem Continuous irreducible actions of PSL2(R) on infinite-dimensional hyperbolic space.
method Using hyperbolic model for convex bodies, produce a continuous and irreducible representation.
result Yields a convex cocompact PSL2(R)-action on infinite-dimensional hyperbolic space with specific quotient properties.

UCoS avoids forward model evaluations in sampling for large-scale linear inverse problems.

problem Efficient sampling from posterior distributions in large-scale linear inverse problems.
method UCoS approach that learns a task-dependent score function offline and uses affine transformations to derive the conditional score.
result UCoS eliminates the need for forward model evaluations during sampling, making it more efficient.

Study the Lax equation in infinite-dimensional Lie algebras and Lie groups.

problem Investigate the Lax equation in infinite-dimensional Lie algebras and Lie groups.
method Derived integral expansions and generalized Baker-Campbell-Hausdorff formula for Lie groups.
result Explicit representation of product integral in terms of exponential map.

We show that for acylindrically hyperbolic groups ΓΓ (with no nontrivial finite normal subgroups) and arbitrary unitary representation ρρ of ΓΓ in a (nonzero) uniformly convex Banach space the vector space Hb2(Γ;ρ)H^2_b(Γ;ρ) is infinite dimensional. The result was known for the regular representations on p(Γ)\ell^p(Γ) with …

2013-06-06abs ↗pdf ↗

We study isometric actions of tree automorphism groups on the infinite-dimensional hyperbolic spaces. On the one hand, we exhibit a general one-parameter family of such representations and analyse the corresponding equivariant embeddings of the trees, showing that they are convex-cocompact and asymptotically isometric.…

2004-04-29abs ↗pdf ↗

Recently V. Ginzburg proved that Calogero phase space is a coadjoint orbit for some infinite dimensional Lie algebra coming from noncommutative symplectic geometry. In this note we generalize this argument to specific quotient varieties of representations of (deformed) preprojective algebras. This result was also obtai…

2000-10-03abs ↗pdf ↗

Study on stability of free boundary Willmore problem using new gradient inequality.

problem Stability of free boundary Willmore problem.
method New Łojasiewicz-Simon gradient inequality for functionals on infinite dimensional manifolds.
result Existence and convergence of solutions for the free boundary Willmore flow.

New model allows sparse graphs with many triangles to be represented.

problem Sparse graphs with many triangles cannot be accurately represented in finite dimensions.
method Infinite-dimensional inner product model with manifold representations.
result Local neighborhoods can be represented in lower dimensions.

Fractional processes are modeled as affine representations for easier financial modeling.

problem Conceptual and practical difficulties in computing and calibrating fractional processes.
method Represent fractional processes as linear functionals of an infinite-dimensional affine process.
result Construct tractable financial models with fractional features.

Develops methods for estimating constrained function-valued parameters in infinite-dimensional models.

problem Estimating function-valued parameters with structural constraints in complex models.
method Characterizes constrained solutions as minimizers of penalized population risk, using a Lagrange-type formulation and path through unconstrained space.
result Proposes estimators that achieve optimal risk and constraint satisfaction, applicable across various statistical learning approaches.

With a view towards applications in the theory of infinite-dimensional representations of finite-dimensional Lie supergroups, we introduce a new category of supermanifolds. In this category, supermanifolds of `maps' and `fields' (fibre bundle sections) exist. In particular, loop supergroups can be realised globally in …

2011-09-14abs ↗pdf ↗

Transformers are explained as infinite-dimensional kernel machines.

problem Understanding the mechanics of Transformers in AI.
method Characterized Transformers' attention mechanism as a kernel learning method on Banach spaces.
result Transformer's kernel has infinite feature dimension and can learn any binary non-Mercer reproducing kernel Banach space pair.

Constructs an analytic index for infinite dimensional manifolds with LTLT-action.

problem Analyzing infinite dimensional manifolds with LTLT-action.
method Defines an analytic LTLT-equivariant index using a Hilbert space, Dirac operator, and crossed product.
result Justifies the analytic index in terms of noncommutative geometry.