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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.

169,181 papers · 148 categories

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48 results for state space determination

Efficient RL in large POMDPs with latent determinism and embeddings.

problem Efficient reinforcement learning in large-scale POMDPs with latent states and observations.
method Conditional Hilbert space embeddings, linear optimal QQ-function, deterministic latent transitions, gap assumption.
result Computationally and statistically efficient algorithm for exact optimal policy.

Divides state space into regions with identical term structure shapes.

problem Classifying term structure shapes in the two-factor Vasicek model.
method Using envelopes and winding numbers to divide and classify the state space.
result Nearly complete classification of parameter space regarding term structure shapes.

In this paper, we calculate the values of the E6E_6 state sum invariants for the lens spaces L(p,q)L(p,q). In particular, we show that the values of the invariants are determined by pmod12p \mod 12 and qmod(p,12)q \mod (p,12). As a corollary, we show that the E6E_6 state sum is a homotopy invariant for the oriented lens spaces.

2014-03-14abs ↗pdf ↗

We emphasize some properties of coherent state groups, i.e. groups whose quotient with the stationary groups, are manifolds which admit a holomorphic embedding in a projective Hilbert space. We determine the differential action of the generators of the representation of coherent state groups on the symmetric Fock space…

2002-11-04abs ↗pdf ↗

Develops a learning model predictive controller for competitive racing.

problem Lack of exploration in state space and complexity in obstacle avoidance.
method Explores state space through multiple initializations and develops a new method for convex terminal set selection.
result Yields a richer terminal safe set and maintains convexity.

The volume of the quantum mechanical state space over nn-dimensional real, complex and quaternionic Hilbert-spaces with respect to the canonical Euclidean measure is computed, and explicit formulas are presented for the expected value of the determinant in the general setting too. The case when the state space is endo…

2006-04-14abs ↗pdf ↗

A new RL paradigm reduces state-action-value function approximation inefficiency.

problem Challenges in state-action-value function approximation for RL.
method State Action Separable Reinforcement Learning (sasRL) decouples action space from value function learning.
result sasRL achieves up to 75% better performance than state-of-the-art MDP-based RL algorithms.

We extend the coherent state transform (CST) of Hall to the context of the moduli spaces of semistable holomorphic vector bundles with fixed determinant over elliptic curves. We show that by applying the CST to appropriate distributions, we obtain the space of level k, rank n and genus one non-abelian theta functions w…

2002-06-25abs ↗pdf ↗

On certain manifolds, the phase which appears in the scalar product of two coherent state vectors is twice the symplectic area of the geodesic triangle determined by the corresponding points on the manifold and the origin of the system of coordinates. This result is proved for compact Hermitian symmetric spaces using t…

1999-03-31abs ↗pdf ↗

The known manifolds of positive sectional curvature are either homogeneous spaces or biquotients, i.e. quotients of a compact Lie group by a group acting on the left and right simultaneously. The full isometry group of the homogeneous metrics of positive curvature were determined by K.Shankar. Here we determine the iso…

2006-05-03abs ↗pdf ↗

In the tangent plane at any point of a surface in the four-dimensional Euclidean space we consider an invariant linear map of Weingarten-type and find a geometrically determined moving frame field. Writing derivative formulas of Frenet-type for this frame field, we obtain eight invariant functions. We prove a fundament…

2011-05-17abs ↗pdf ↗

A financial contract's value is determined by a quantum measurement outcome, and a pricing state exists to value it.

problem Valuing financial contracts contingent on quantum measurement outcomes.
method Proving the existence of a pricing state equivalent to the physical state on null spaces, and solving optimization problems for optimal contract payouts.
result There exists a pricing state equivalent to the physical state on null spaces, leading to a pricing function for financial contracts.

Reduces policy space complexity for reinforcement learning.

problem Efficiency in exploring vast policy spaces in reinforcement learning.
method Uses Rényi divergence and l1l_1 norm to determine sample size for accurate policy approximation.
result Established error bounds for sample size requirements in model-based and model-free settings.

The paper proves fundamental theorems for timelike surfaces in Minkowski 4-space.

problem Analyzing timelike surfaces without minimal points in Minkowski space.
method Introducing a pseudo-orthonormal frame field and deriving derivative formulas, proving a Bonnet-type theorem.
result Timelike surfaces are uniquely determined by six functions satisfying natural conditions.

We propose the application of a high-speed maximum likelihood clustering algorithm to detect temporal financial market states, using correlation matrices estimated from intraday market microstructure features. We first determine the ex-ante intraday temporal cluster configurations to identify market states, and then st…

2015-08-20abs ↗pdf ↗

Study timelike surfaces with parallel mean curvature in Minkowski 4-space.

problem Existence and uniqueness of timelike surfaces with parallel mean curvature.
method Introduce canonical parameters and prove existence and uniqueness theorem.
result Each timelike surface with parallel mean curvature is determined by three geometric functions.

Adler had shown in 1979 that the Toda system can be given a coad- joint orbit description. We quantize the Toda system by viewing it as a single orbit of a multiplicative group of lower triangular matrices of determinant one with pos- itive diagonal entries. We get a unitary representation of the group with square inte…

2016-12-09abs ↗pdf ↗

The paper introduces canonical parameters for marginally trapped surfaces in Minkowski space.

problem Determining marginally trapped surfaces in Minkowski space.
method Introducing canonical parameters and proving existence and uniqueness theorems.
result Every marginally trapped surface is determined by three smooth functions.

We prove that any strongly regular Weingarten surface in Euclidean space carries locally geometric principal parameters. The basic theorem states that any strongly regular Weingarten surface is determined up to a motion by its structural functions and the normal curvature function satisfying a geometric differential eq…

2008-02-15abs ↗pdf ↗

The paper proves a rigidity theorem for non-compact convex sets in hyperbolic 3-space.

problem Determining a closed convex set in hyperbolic 3-space by its boundary metric.
method Pogorelov's rigidity theorem, Hausdorff measure, and complex analysis techniques.
result The intrinsic path metric on the boundary determines a closed convex set up to isometry under certain conditions.

Representations of coherent state Lie algebras on coherent state manifolds as first order differential operators are presented. The explicit expressions of the differential action of the generators of semisimple Lie groups determine for linear Hamiltonians in the generators of the groups first order differential equati…

2004-08-19abs ↗pdf ↗

In his 2011 work, Maas has shown that the law of any time-reversible continuous-time Markov chain with finite state space evolves like a gradient flow of the relative entropy with respect to its stationary distribution. In this work we show the converse to the above by showing that if the relative law of a Markov chain…

2014-05-11abs ↗pdf ↗

We give an integral representaion of the zeta-reguralized determinant of Laplacians on three dimensional Heisenberg manifolds, and study a behaivior of the values when we deform the uniform discrete subgroups. Heiseberg manifolds are the total space of a fiber bundle with a torus as the base space and a circle as a typ…

2003-06-28abs ↗pdf ↗

The paper proves a generalized Kauffman-Harary conjecture for prime determinant links.

problem Proving a generalized Kauffman-Harary conjecture for prime determinant links.
method Using Fox colorings and properties of reduced alternating diagrams.
result For every pair of distinct arcs in a prime determinant link, there exists a Fox coloring that distinguishes them.

A new method for state space partitioning in block particle filtering reduces bias and variance.

problem Overcoming the curse of dimensionality in non-linear, non-Gaussian state space estimation.
method Formulates state space partitioning as a clustering problem and uses spectral clustering with constraints.
result The proposed method effectively groups correlated state variables into smaller blocks, reducing bias and variance.

Cohort effects are important factors in determining the evolution of human mortality for certain countries. Extensions of dynamic mortality models with cohort features have been proposed in the literature to account for these factors under the generalised linear modelling framework. In this paper we approach the proble…

2017-03-24abs ↗pdf ↗

Study TMF-valued TQFT for closed 3-manifolds using torsion linking pairings.

problem Explicit description of TMF-module state space for closed 3-manifolds.
method Construct canonical invariants and tokenization from torsion linking pairings.
result Explicit model for TMF-module state space in terms of rank-one TMF-module.

Deep state space model forecasts time series with uncertainty.

problem Probabilistic forecasting for risk management.
method Parameterized deep networks for non-linear models, recurrent neural nets for dependency, ARD network for exogenous variables.
result Accurate and sharp probabilistic forecasts with realistic uncertainty growth.

A new algorithm for deep Q-learning with robustness to state transition uncertainty.

problem Model uncertainty in state transitions for non-tabular, continuous state spaces.
method Distributionally robust approach using worst-case transition ball and dualized Bellman operator with Sinkhorn distance.
result Optimal policy found through solving non-linear Bellman equation with neural network parameterization.

SPECTRA improves probabilistic energy forecasting by separating trends and uncertainties.

problem Interacting uncertainties from renewable intermittency, demand flexibility, market volatility, and weather impact probabilistic forecasts.
method Adaptive state-space exogenous context and temporal-frequency resolution architecture.
result Achieved best CRPS in 14 out of 18 settings, reducing CRPS by 5.74% and upper-tail quantile risk by 7.27%.

New conditions for GRW space-times to be perfect-fluid space-times.

problem Conditions for GRW space-times to be perfect-fluid.
method Gray's decomposition of the gradient of the Ricci tensor, determining Ricci tensor forms in invariant subspaces.
result For most GRW space-times, the Ricci tensor is Einstein or perfect fluid.

This work learns a distance function for goal-conditioned RL without prior knowledge.

problem Learning a distance function for goal-conditioned reinforcement learning without prior knowledge.
method Self-supervised approach to learn distance function in terms of actions needed to reach a goal.
result Solves complex tasks in three scenarios without prior domain knowledge.

This paper continues our study, initiated in [arXiv:1108.3370], of essential state surfaces in link complements that satisfy a mild diagrammatic hypothesis (homogeneously adequate). For hyperbolic links, we show that the geometric type of these surfaces in the Thurston trichotomy is completely determined by a simple gr…

2012-09-25abs ↗pdf ↗