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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.

168,742 papers · 148 categories

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12.5%25.0%37.5%50.0% · Sep 199319922001200920172026
48 results for trace powers

We present a formula for the trace of any symmetric power of a n×nn\times n matrix (with coefficients in a field) in terms of the ordinary powers of the matrix, an arbitrarily chosen linear function which vanishes on the identity matrix, and n2n-2 polynomial functions defined recursively.

2014-11-03abs ↗pdf ↗

Study the Bochner-Schrödinger operator's trace in semiclassical limit.

problem Trace formula for Bochner-Schrödinger operator on tensor powers of line and vector bundles.
method Semiclassical analysis of the Bochner-Schrödinger operator HpH_p on tensor powers of a Hermitian line bundle and vector bundle.
result Complete asymptotic expansion of the trace of φ(Hp)\varphi(H_p) in the semiclassical limit pop o \infty.

New method estimates log-determinant using trace powers, avoiding classical limitations.

problem Estimating log-determinant of large matrices efficiently and accurately.
method Interpolating moment-generating function and its derivative at zero using trace powers.
result No continuous estimator using finite moments can be uniformly accurate over unbounded conditioning.

We study power expansions of the characteristic function of a linear operator AA in a pqp|q-dimensional superspace VV. We show that traces of exterior powers of AA satisfy universal recurrence relations of period qq. `Underlying' recurrence relations hold in the Grothendieck ring of representations of $\GL(V)$. The…

2003-09-10abs ↗pdf ↗

In this note we consider a heat trace expansion on a manifold with wedge-like singularity. We show that there are two terms in the expansion that contain information about the presence of the singularity, namely the logarithmic term ct1/2logtct^{-1/2}\log t and the half power term bt1/2bt^{-1/2}. We also give a geometric express…

2017-10-17abs ↗pdf ↗

The paper proposes using non-isotropic distances for more accurate trace link recommendation.

problem Time-consuming and error-prone creation and maintenance of trace links.
method Geometric viewpoint on semantic similarity using non-linear similarity measures.
result Non-isotropic distances improve trace link recommendation accuracy.

Improved reasoning model by sampling from power distribution without additional training.

problem Efficiently sampling from a sharpened distribution to improve reasoning models.
method Entropy-Cut Metropolis-Hastings algorithm that identifies key decision points for resampling.
result The method consistently improves reasoning models across various datasets.

KT models struggle with student concept drift, but BKT remains the most stable.

problem Impact of student concept drift on KT models.
method Applied four KT models to five academic years of data.
result KT models generally degrade in performance with concept drift, BKT remains stable.

We construct a Hennings type logarithmic invariant for restricted quantum sl(2)\mathfrak{sl}(2) at a 2p2\mathsf{p}-th root of unity. This quantum group UU is not braided, but factorizable. The invariant is defined for a pair: a 3-manifold MM and a colored link LL inside MM. The link LL is split into two parts colored…

2017-05-08abs ↗pdf ↗

The paper studies asymptotic expansions of operators related to Bochner-Schrödinger on Riemannian manifolds.

problem Asymptotic expansions of operators related to Bochner-Schrödinger on Riemannian manifolds.
method Analyzes the Bochner-Schrödinger operator HpH_p and its function φ(Hp)\varphi(H_p) in L2(X,LpE)L^2(X,L^p\otimes E), providing an asymptotic expansion of its smooth Schwartz kernel.
result The trace of the operator φ(Hp)\varphi(H_p) admits a complete asymptotic expansion in powers of p1/2p^{-1/2} as pop o \infty.

Develops interpolation methods for matrix functions in statistics and machine learning.

problem Estimating matrix functions in statistics and machine learning.
method Interpolates log-determinant and trace of matrix powers using modified sharp bounds.
result Accuracy and performance demonstrated in numerical examples.

NeSS combines neural and symbolic approaches for better compositional generalization.

problem Lack of compositional generalization in deep learning models.
method NeSS uses a neural network to generate traces, executed by a symbolic stack machine with sequence manipulation.
result Achieves 100% generalization performance across multiple domains.

In Alain Connes noncommutative geometry, the question of the existence of a non-trivial integral can be described in terms of the singular traceability of the compact operator |D|^(-d), D being the Dirac operator, namely of the existence of a finite non-trivial singular trace on the ideal generated by |D|^(-d). A condi…

1999-07-01abs ↗pdf ↗

The Novikov-Shubin numbers are defined for open manifolds with bounded geometry, the Gamma-trace of Atiyah being replaced by a semicontinuous semifinite trace on the C*-algebra of almost local operators. It is proved that they are invariant under quasi-isometries and, making use of the theory of singular traces for C*-…

1998-09-08abs ↗pdf ↗

We study a simple modification to the conventional time of flight mass spectrometry (TOFMS) where a \emph{variable} and (pseudo)-\emph{random} pulsing rate is used which allows for traces from different pulses to overlap. This modification requires little alteration to the currently employed hardware. However, it requi…

2012-12-18abs ↗pdf ↗

This work optimizes DNN inference for energy-harvesting devices by compressing and selectively executing neural network exits.

problem Inference delays and energy inefficiency in energy-harvesting devices.
method Developed a power trace-aware and exit-guided network compression algorithm for multi-exit neural networks.
result Superior accuracy and reduced latency compared to state-of-the-art techniques.

Electricity accounts for 25% of global greenhouse gas emissions. Reducing emissions related to electricity consumption requires accurate measurements readily available to consumers, regulators and investors. In this case study, we propose a new real-time consumption-based accounting approach based on flow tracing. This…

2018-12-17abs ↗pdf ↗

TRACE analyzes risk changes in models trained on shifted data.

problem Understanding performance changes when a model trained on shifted data is used.
method TRACE framework decomposes risk change into four factors: generalization gaps, model change penalty, and covariate shift penalty.
result TRACE provides a diagnostic tool to understand and quantify risk changes due to covariate shift.

Unified framework combines trace-induced quantum kernels for improved machine learning models.

problem Improving performance of quantum machine learning models using trace-induced kernels.
method Developed a unified framework combining various trace-induced quantum kernels, including global fidelity and local projected kernels, as Lego kernels.
result Local projected kernels can achieve comparable performance to global fidelity kernels with fewer quantum resources.

Paper develops DP methods for low-rank matrix estimation with near-optimal performance.

problem Estimating a low-rank matrix under differential privacy constraints.
method Introduced computationally efficient DP-initialization and Riemannian optimization-based DP-RGrad algorithm.
result DP-RGrad achieves near-optimal convergence rate under weak differential privacy constraints.

Deep learning models, especially CNNs, can predict radio frequency power faster than traditional methods.

problem Accurate radio frequency power prediction for optimal transmitter location.
method Empirical analysis of deep learning models including CNNs and UNET variations for power prediction.
result Deep learning models, particularly CNNs, are effective and generalize well to new regions for power prediction.

We study various aspects of the noncommutative residue for an algebra of pseudodifferential operators whose symbols have an expansion aj=0amj,amj(x,ξ)=l=0kamj,l(x,ξ)loglξ,a\sim \sum_{j=0}^\infty a_{m-j}, a_{m-j}(x,ξ)=\sum_{l=0}^k a_{m-j,l}(x,ξ) \log^l|ξ|, where amj,la_{m-j,l} is homogeneous in ξξ of degree mjm-j. We will explain why this algebra of pseudo…

1997-08-13abs ↗pdf ↗

Bounds on spectral gaps of hyperbolic 3-manifolds and orbifolds.

problem Constraining the spectra of Laplace operators on hyperbolic manifolds and orbifolds.
method Linear programming and spectral identities derived from the conformal bootstrap and Selberg trace formula.
result Upper bounds on the first and second Laplacian eigenvalues, and spectral gaps of hyperbolic 3-manifolds and orbifolds.

We study a model of wealth dynamics [Bouchaud and Mézard 2000, \emph{Physica A} \textbf{282}, 536] which mimics transactions among economic agents. The outcomes of the model are shown to depend strongly on the topological properties of the underlying transaction network. The extreme cases of a fully connected and a ful…

2004-02-18abs ↗pdf ↗

The paper studies eigenvalues in gaps of the essential spectrum of a Bochner-Schrödinger operator.

problem Eigenvalue distribution in gaps of the essential spectrum of the Bochner-Schrödinger operator.
method Trace asymptotics formula and Weyl type asymptotic formula for eigenvalue counting function.
result The spectrum of HpH_{p} in the gap is discrete.

We devise an algorithm which allows one to count the number of Killing vectors for a Lorentzian manifold of dimension 3. Our algorithm relies on the principal traces of powers of the Ricci tensor and branches intricately according to the values of differential invariants arising from the compatibility conditions of the…

2019-02-21abs ↗pdf ↗

Derives Selberg trace formula on Riemann surfaces and generalizes to other spaces.

problem Deriving and generalizing the Selberg trace formula.
method Supersymmetric localization principle and path integral derivation.
result Derives Selberg trace formula on arbitrary compact Riemann surfaces and generic compact locally symmetric spaces.

We define two new invariants for tied links. One of them can be thought as an extension of the Kauffman polynomial and the other one as an extension of the Jones polynomial which is constructed via a bracket polynomial for tied links. These invariants are more powerful than both the Kauffman and the bracket polynomials…

2016-07-17abs ↗pdf ↗

CausalSim corrects bias in trace-driven simulations for more accurate results.

problem Bias in trace-driven simulations due to system conditions during trace collection.
method CausalSim learns a causal model of system dynamics and latent factors from an RCT to remove bias from trace data.
result CausalSim reduces simulation errors by 53% and 61% compared to baselines, providing more accurate insights.

It is known that evaluating a certain approximation to the Jones polynomial for the plat closure of a braid is a BQP-complete problem. That is, this problem exactly captures the power of the quantum circuit model. The one clean qubit model is a model of quantum computation in which all but one qubit starts in the maxim…

2007-07-19abs ↗pdf ↗

This paper investigates the strength of the trace field as a commensurability invariant of hyperbolic 3-manifolds. We construct an infinite family of two-component hyperbolic link complements which are pairwise incommensurable and have the same trace field, and infinitely many 1-cusped finite volume hyperbolic 3-manifo…

2007-08-08abs ↗pdf ↗