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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.

168,657 papers · 148 categories

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48 results for quantized metrics

Smooth approximations of Kähler-Ricci solitons found using quantized metrics and Futaki invariants.

problem Finding smooth approximations of Kähler-Ricci solitons on Fano manifolds.
method Using semiclassical estimates and quantized Futaki invariants to extend a strategy from Donaldson and Tian-Zhu.
result Smooth approximations of Kähler-Ricci solitons can be found as quantized metrics.

Let gSg_S be the Simanca metric on the blow-up C~2\tilde{\mathbb{C}}^2 of C2\mathbb{C}^2 at the origin. We show that (C~2,gS)(\tilde{\mathbb{C}}^2,g_S) admits a regular quantization. We use this fact to prove that all coefficients in the Tian-Yau-Zelditch expansion for the Simanca metric vanish and that a dense subset of $(\t…

2018-09-10abs ↗pdf ↗

Sharp estimates for Bergman metrics derived from Kähler quantization.

problem Estimating Bergman metrics in Kähler quantization.
method Upper and lower bounds on the Bergman metric expressed in terms of φ\varphi.
result Optimal C1,1ˉC^{1,\bar1}-convergence for quantization of Kähler currents.

In this paper we show how Einstein metrics are naturally described using the quantization of the algebra of functions on a Kahler manifold M. In this setup one interprets M as the phase space itself, equipped with the Poisson brackets inherited from the Kahler 2-form. We compare the geometric quantization framework wit…

2007-10-08abs ↗pdf ↗

We provide an algebraic framework for quantization of Hermitian metrics that are solutions of the Hitchin equation for Higgs bundles over a projective manifold. Using Geometric Invariant Theory, we introduce a notion of balanced metrics in this context. We show that balanced metrics converge at the quantum limit toward…

2016-01-19abs ↗pdf ↗

Inverse metric matrices on Siegel-Jacobi spaces are calculated for Berezin quantization.

problem Calculating inverse metric matrices on Siegel-Jacobi spaces.
method Inversion of metric matrices on XnJ{\mathcal{X}}^J_n and ildeXnJ ilde{\mathcal{X}}^J_n.
result Explicit calculations of inverse metric matrices for n=2n=2.

New bound on partition function proves Kähler-Einstein stability.

problem Proving Kähler-Einstein metrics on complex manifolds.
method Quantitative bound on partition function, connecting probabilistic and quantization approaches.
result Direct analytic proof of Kähler-Einstein stability for uniformly Gibbs stable manifolds.

The concept of conformally equivariant quantizations was introduced by Duval, Lecomte and Ovsienko in \cite{DLO} for manifolds endowed with flat conformal structures. They obtained results of existence and uniqueness (up to normalization) of such a quantization procedure. A natural generalization of this concept is to …

2007-07-10abs ↗pdf ↗

Following Kobayashi, we consider Griffiths negative complex Finsler bundles, naturally leading us to introduce Griffiths extremal Finsler metrics. As we point out, this notion is closely related to the theory of interpolation of norms, and is characterized by an equation of complex Monge--Ampère type, whose correspondi…

2019-10-04abs ↗pdf ↗

New method classifies manifold-valued data using Riemannian geometry.

problem Classifying data on curved Riemannian manifolds.
method Probabilistic Learning Vector Quantization on Symmetric Positive Definite Matrices.
result The method outperforms traditional Euclidean methods on manifold-valued data.

We study the quantization of coupled Kähler-Einstein (CKE) metrics, namely we approximate CKE metrics by means of the canonical Bergman metrics, so called the ``balanced metrics''. We prove the existence and weak convergence of balanced metrics for the negative first Chern class, while for the positive first Chern clas…

2019-04-29abs ↗pdf ↗

Study shows convergence of anticanonically balanced metrics to Kähler-Einstein metrics on Fano manifolds.

problem Finding anticanonically balanced metrics on Fano manifolds.
method Simplification of Donaldson's proof using Berezin-Toeplitz quantization.
result Sequence of anticanonically balanced metrics converges to Kähler-Einstein metric.

The space of Kähler metrics can, on the one hand, be approximated by subspaces of algebraic metrics, while, on the other hand, can be enlarged to finite-energy spaces arising in pluripotential theory. The latter spaces are realized as metric completions of Finsler structures on the space of Kähler metrics. The former s…

2018-06-11abs ↗pdf ↗

This paper is about geometric quantization of the Hitchin system. We quantize a Kahler form on the Hitchin moduli space (which is half the first Kahler form defined by Hitchin) by considering the Quillen bundle as the prequantum line bundle and modifying the Quillen metric using the Higgs field so that the curvature is…

2016-04-05abs ↗pdf ↗

This paper develops efficient bounds on the Wasserstein metric for discrete measures.

problem Computing the exact Wasserstein metric is computationally expensive.
method Formulates and solves a Kantorovich problem on a coarse grid using quantized measures and cost matrices, followed by upscaling and correction.
result Achieves a 10x-100x speedup while maintaining low approximation error.

The paper constructs quantizations for symplectic manifolds with specific Laplacian properties.

problem Quantization of compact symplectic manifolds with higher Landau levels.
method Develops Berezin-Toeplitz quantization using a Bochner Laplacian with specific spectral properties.
result The quantization provides a formal star-product for the lowest Landau level.

In the first part of this paper we outline the constructions and properties of Fedosov star product and Berezin-Toeplitz star product. In the second part we outline the basic ideas and recent developments on Yau-Tian-Donaldson conjecture on the existence of Kähler metrics of constant scalar curvature. In the third part…

2019-04-26abs ↗pdf ↗

Quantizes latent space to improve disentanglement in models.

problem Learning disentangled representations from unlabeled data.
method Quantizes latent space into discrete code vectors with a learnable scalar codebook and applies high weight decay regularization.
result Quantized-latent autoencoder (QLAE) outperforms prior work in disentanglement without sacrificing data reconstruction.

The phase space of a compact, irreducible, simply connected, Riemannian symmetric space admits a natural family of Kähler polarizations parametrized by the upper half plane SS. Using this family, geometric quantization, including the half-form correction, produces the field HcorrSH^{corr}\rightarrow S of quantum Hilbert s…

2016-09-13abs ↗pdf ↗

Paper proves existence of a universal codebook for low-precision quantization.

problem Optimizing low-precision approximation of matrix products in machine learning.
method Develops a universal codebook that is near-optimal for all possible statistics of input data.
result Proves existence of a universal codebook with a 0.11 bit per dimension reduction in rate.

Suppose that (M,E)(M,E) is a compact contact manifold, and that a compact Lie group GG acts on MM transverse to the contact distribution EE. In an earlier paper, we defined a GG-transversally elliptic Dirac operator $\dirac$, constructed using a Hermitian metric hh and connection \nabla on the symplectic vector bun…

2009-09-10abs ↗pdf ↗