Research
On-device research index

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.

168,695 papers · 148 categories

Trend · papers per month

57114170227 · Jun 202619922001200920172026
48 results for KT manifolds

On a compact complex manifold we study the behaviour of strong Kähler with torsion (strong KT) structures under small deformations of the complex structure and the problem of extension of a strong KT metric. In this context we obtain the analogous result of Miyaoka extension theorem. Studying the blow-up of a strong KT…

2008-04-02abs ↗pdf ↗

We present the construction of a large class of homogeneous KT, HKT and QKT manifolds, G/KG/K, using an invariant metric on GG and the canonical connection. For this a decomposition of the Lie algebra of GG is employed, which is most easily described in terms of colourings of Dynkin diagrams of simple Lie algebras. KT…

1998-07-24abs ↗pdf ↗

Some selected applications of KT and HKT geometries in string theory, supergravity, black hole moduli spaces and hermitian geometry are reviewed. It is shown that the moduli spaces of a large class of five-dimensional supersymmetric black holes are HKT spaces. In hermitian geometry, it is shown that a compact, conforma…

2002-01-15abs ↗pdf ↗

Study the geometry and symmetries of moduli spaces of connections on KT manifolds.

problem Investigate the geometry and symmetries of moduli spaces of Hermitian-Einstein and instanton connections on KT manifolds.
method Analyze the geometry and symmetries of moduli spaces of Hermitian-Einstein and instanton connections on KT manifolds, using vector fields and connections with skew-symmetric torsion.
result The geometry of moduli spaces can be modeled on principal bundles with specific fibre and base spaces.

A Hermitian metric on a complex manifold of complex dimension nn is called {\em astheno-Kähler} if its fundamental 22-form FF satisfies the condition Fn2=0\partial \overline \partial F^{n - 2} =0. If n=3n =3, then the metric is {\em strong KT}, i.e. FF is \partial \overline \partial-closed. By using blow-ups and the …

2008-06-04abs ↗pdf ↗

We use the procedure of reduction of Courant algebroids to reduce strong KT, hyper KT and generalized Kaehler structures on Courant algebroids. This allows us to recover results from the literature as well as explain from a different angle some of the features observed there in. As an example, we prove that the moduli …

2012-03-02abs ↗pdf ↗

A strong KT (SKT) manifold consists of a Hermitian structure whose torsion three-form is closed. We classify the invariant SKT structures on four-dimensional solvable Lie groups. The classification includes solutions on groups that do not admit compact four-dimensional quotients. It also shows that there are solvable g…

2009-11-03abs ↗pdf ↗

Knowledge Transfer (KT) techniques tackle the problem of transferring the knowledge from a large and complex neural network into a smaller and faster one. However, existing KT methods are tailored towards classification tasks and they cannot be used efficiently for other representation learning tasks. In this paper a n…

2018-03-28abs ↗pdf ↗

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 introduce and study a notion of `Sasaki with torsion structure' (ST) as an odd-dimensional analogue of Kähler with torsion geometry (KT). These are normal almost contact metric manifolds that admit a unique compatible connection with 3-form torsion. Any odd-dimensional compact Lie group is shown to admit such a stru…

2012-07-12abs ↗pdf ↗

A new method for hierarchical clustering is presented. It combines treelets, a particular multiscale decomposition of data, with a projection on a reproducing kernel Hilbert space. The proposed approach, called kernel treelets (KT), effectively substitutes the correlation coefficient matrix used in treelets with a symm…

2018-12-12abs ↗pdf ↗

This note records two results which were inexplicably omitted from our paper on Pin structures on low dimensional manifolds, [KT]. Kirby chose not to be listed as a coauthor. A Pin^- structure on a surface F induces a quadratic enhancement of the mod 2 intersection form, q: H_1(F;Z/2Z) -> Z/4Z Theorem 1.1 says that q v…

2008-02-01abs ↗pdf ↗

Can machines trace human knowledge like humans? Knowledge tracing (KT) is a fundamental task in a wide range of applications in education, such as massive open online courses (MOOCs), intelligent tutoring systems, educational games, and learning management systems. It models dynamics in a student's knowledge states in …

2019-10-29abs ↗pdf ↗

Quantization of a Lagrangian field system essentially depends on its degeneracy and implies its BRST extension defined by sets of non-trivial Noether and higher-stage Noether identities. However, one meets a problem how to select trivial and non-trivial higher-stage Noether identities. We show that, under certain condi…

2007-02-28abs ↗pdf ↗

In this paper, we consider the symmetries of the Dirac operator derived from a connection with skew-symmetric torsion. We find that the generalized conformal Killing-Yano tensors give rise to symmetry operators of the massless Dirac equation, provided an explicitly given anomaly vanishes. We show that this gives rise t…

2010-02-18abs ↗pdf ↗

We compute the hessian of the natural Hermitian form successively on the Calabi family of a hyperkähler manifold, on the twistor space of a 4-dimensional anti-self-dual Riemannian manifold and on the twistor space of a quaternionic Kähler manifold. We show a strong convexity property of the cycle space of twistor lines…

2012-02-01abs ↗pdf ↗

We investigate multiarmed bandits with delayed feedback, where the delays need neither be identical nor bounded. We first prove that "delayed" Exp3 achieves the O((KT+D)lnK)O(\sqrt{(KT + D)\ln K} ) regret bound conjectured by Cesa-Bianchi et al. [2019] in the case of variable, but bounded delays. Here, KK is the number of actio…

2019-06-03abs ↗pdf ↗

A Hermitian metric on a complex manifold is called strong Kähler with torsion (SKT) if its fundamental 2-form ωω is ˉ\partial \bar \partial-closed. We review some properties of strong KT metrics also in relation with symplectic forms taming complex structures. Starting from a 2n2n-dimensional SKT Lie algebra $\mathfr…

2011-04-08abs ↗pdf ↗

We define a class of boundary value problems on manifolds with fibered boundary. This class is in a certain sense a deformation between the classical boundary value problems and the Atiyah-Patodi-Singer problems in subspaces. The boundary conditions in this theory are taken as elements of the C^*-algebra generated by p…

2002-07-20abs ↗pdf ↗

KT-geometry is the geometry of a Hermitian connection whose torsion is a 3-form. HKT-geometry is the geometry of a hyper-Hermitian connection whose torsion is a 3-form. We identify non-trivial conditions for a reduction theory for these types of geometry.

2002-01-17abs ↗pdf ↗

Develops Hamilton-Jacobi theory for non-conservative field theories in k-contact geometry.

problem Analyzes non-conservative field theories, especially dissipative systems.
method Introduces evolution k-contact k-vector fields and develops two Hamilton-Jacobi theories.
result Recover ordinary contact Hamilton-Jacobi theory as k=1, and enlarges application range.

New constraints on space and adaptivity in bandits force more batches and memory use.

problem Simultaneous space and adaptivity constraints in stochastic bandits.
method Proved lower bounds and constructed an algorithm with near-minimax regret.
result Near-minimax regret requires more batches and memory than previously thought.

Wireless communication systems operate in complex time-varying environments. Therefore, selecting the optimal configuration parameters in these systems is a challenging problem. For wireless links, \emph{rate selection} is used to select the optimal data transmission rate that maximizes the link throughput subject to a…

2019-02-28abs ↗pdf ↗

In stochastic multi-armed bandits, the reward distribution of each arm is assumed to be stationary. This assumption is often violated in practice (e.g., in recommendation systems), where the reward of an arm may change whenever is selected, i.e., rested bandit setting. In this paper, we consider the non-parametric rott…

2018-11-27abs ↗pdf ↗

In this paper we provide an explicit description of normal almost contact structures obtained from Cartan-Ehresmann connections (gauge fields) on principal S1S^{1}-bundles over complex flag manifolds. The main feature of our approach is to employ elements of representation theory of complex simple Lie algebras in order…

2018-03-24abs ↗pdf ↗

For a Kähler Manifold MM, the "symplectic Dolbeault operators" are defined using the symplectic spinors and associated Dirac operators, in complete analogy to how the usual Dolbeault operators, ˉ\bar\partial and ˉ\bar\partial^*, arise from Dirac operators on the canonical complex spinors on MM. We give special atte…

2012-09-30abs ↗pdf ↗

This paper classifies Hermitian structures on 6-dimensional nilmanifolds M=G/L for which the fundamental 2-form is d d-bar closed, a condition that is shown to depend only on the underlying complex structure J of M. The space of such J is described when G is the complex Heisenberg group, and explicit solutions are obta…

2002-09-20abs ↗pdf ↗

Using a combinatorial approach described in a recent paper of Manolescu, Ozsváth, and Sarkar we compute the Heegaard-Floer knot homology of all knots with at most 12 crossings as well as the ττ invariant for knots through 11 crossings. We review the basic construction of \cite{MOS}, giving two examples that can be wor…

2006-10-05abs ↗pdf ↗

New algorithms avoid a dominant lower-order term in heavy-tailed loss settings.

problem Prediction with heavy-tailed losses without prior knowledge.
method Adaptive algorithms that avoid the maximum of losses as a lower-order term in regret.
result Improved regret bounds of O(θTlog(K))\mathcal{O}(\sqrt{θT\log(K)}) and O(θlog(KT)/Δmin)\mathcal{O}(θ\log(KT)/Δ_{\min}).

New algorithm for bandits with delayed action effects, reducing regret.

problem Delayed impact of actions in multi-armed bandits.
method Formulated a new bandit setting with delayed action effects, proposed an algorithm with regret bound.
result Achieved a regret of ildeO(KT2/3) ilde{\mathcal{O}}(KT^{2/3}) and showed a matching lower bound.

The paper shows how heat flows and Wasserstein distances relate to space rigidity.

problem Understanding rigidity in Wasserstein contraction along heat flows.
method Establishing equivalence between rigidity and Bakry-Émery gradient estimates, applying results from Ambrosio-Brué-Semola and Han.
result Spaces with specific curvature bounds exhibit rigidity in Wasserstein contraction.

Paper optimizes FTPL for adversarial and stochastic bandits with specific tail distributions.

problem Optimizing Follow-the-Perturbed-Leader (FTPL) policy for bandit problems.
method Analyzes FTPL with Fréchet-type tail distributions in adversarial and stochastic settings.
result FTPL with certain Fréchet-type tail distributions achieves O(KT)\mathcal{O}(\sqrt{KT}) regrets in adversarial bandits.

Manifolds with boundary and with corners form categories ManManbManc{\bf Man}\subset{\bf Man^b}\subset{\bf Man^c}. A manifold with corners XX has two notions of tangent bundle: the tangent bundle TXTX, and the b-tangent bundle bTX{}^bTX. The usual definition of smooth structure uses TXTX, as f:XRf:X\to\mathbb{R} is defined to be …

2016-05-19abs ↗pdf ↗

RKT model improves knowledge tracing by considering exercise relations and student forget behavior.

problem Traditional KT models fail to consider both exercise relations and student forget behavior.
method RKT model uses relation-aware self-attention to incorporate exercise relations and student forget behavior.
result RKT model outperforms state-of-the-art KT methods on real-world datasets.