68,132 research outputs found

    On certain Iwahori representations of unramified U(2,1)U(2, 1) in characteristic pp

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    Let FF be a non-archimedean local field of odd residue characteristic pp. Let GG be the unramified unitary group U(2,1)(E/F)U(2, 1)(E/F), and KK be a maximal compact open subgroup of GG. For an Fβ€Ύp\overline{\mathbf{F}}_p-smooth representation Ο€\pi of GG containing a weight Οƒ\sigma of KK, we follow the work of Hu (\cite{Hu12}) to attach Ο€\pi a certain IKI_K-subrepresentation, where IKI_K is the Iwahori subgroup in KK. In terms of such an IKI_K-subrepresentation, we prove a sufficient condition for Ο€\pi to be non-finitely presented. We determine such an IKI_K-subrepresentation explicitly, when Ο€\pi is either a spherical universal Hecke module or an irreducible principal series.Comment: New and revised version: 1) some irrelevant parts are removed. 2) some arguments are modified. 3) main results remain unchange

    A remark on the simple cuspidal representations of GL(n, F)

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    Let FF be a non-archimedean local field of residue characteristic pp, GG be the group GL(n,F)GL(n, F). In this note, under the assumption (n,p)=1(n, p)=1, we show a simple cuspidal representation Ο€\pi (that with normalized level 1n\frac{1}{n}) of GG is determined uniquely up to isomorphism by the local constants of Ο‡βˆ˜detβŠ—Ο€\chi\circ \text{det}\otimes \pi for all characters Ο‡\chi of FΓ—F^\times.Comment: 9 pages. This is version 2, and a detailed proof of Lemma 2.2 is included. Submitte

    Freeness of spherical Hecke modules of unramified U(2,1)U(2,1) in characteristic pp

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    Let FF be a non-archimedean local field of odd residue characteristic pp. Let GG be the unramified unitary group U(2,1)(E/F)U(2, 1)(E/F) in three variables, and KK be a maximal compact open subgroup of GG. For an irreducible smooth representation σ\sigma of KK over F‾p\overline{\mathbf{F}}_p, we prove that the compactly induced representation indKGσ\text{ind}^G _K \sigma is free of infinite rank over the spherical Hecke algebra H(K,σ)\mathcal{H}(K, \sigma).Comment: Final version, to appear in Journal of Number Theor

    Hecke modules and supersingular representations of U(2,1)

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    Let F be a nonarchimedean local field of odd residual characteristic p. We classify finite-dimensional simple right modules for the pro-p-Iwahori-Hecke algebra HC(G,I(1))\mathcal{H}_C(G,I(1)), where G is the unramified unitary group U(2,1)(E/F) in three variables. Using this description when C is the algebraic closure of Fp\mathbb{F}_p, we define supersingular Hecke modules and show that the functor of I(1)-invariants induces a bijection between irreducible nonsupersingular mod-p representations of G and nonsupersingular simple right HC(G,I(1))\mathcal{H}_C(G,I(1))-modules. We then use an argument of Paskunas to construct supersingular representations of G.Comment: 36 pages. Article shortened, results unchange

    Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer

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    In this work, we develop a novel regularizer to improve the learning of long-range dependency of sequence data. Applied on language modelling, our regularizer expresses the inductive bias that sequence variables should have high mutual information even though the model might not see abundant observations for complex long-range dependency. We show how the `next sentence prediction (classification)' heuristic can be derived in a principled way from our mutual information estimation framework, and be further extended to maximize the mutual information of sequence variables. The proposed approach not only is effective at increasing the mutual information of segments under the learned model but more importantly, leads to a higher likelihood on holdout data, and improved generation quality. Code is released at https://github.com/BorealisAI/BMI.Comment: Camera-ready for AISTATS 202

    Investigations on Knowledge Base Embedding for Relation Prediction and Extraction

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    We report an evaluation of the effectiveness of the existing knowledge base embedding models for relation prediction and for relation extraction on a wide range of benchmarks. We also describe a new benchmark, which is much larger and complex than previous ones, which we introduce to help validate the effectiveness of both tasks. The results demonstrate that knowledge base embedding models are generally effective for relation prediction but unable to give improvements for the state-of-art neural relation extraction model with the existing strategies, while pointing limitations of existing methods

    Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction

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    Knowledge Bases (KBs) require constant up-dating to reflect changes to the world they represent. For general purpose KBs, this is often done through Relation Extraction (RE), the task of predicting KB relations expressed in text mentioning entities known to the KB. One way to improve RE is to use KB Embeddings (KBE) for link prediction. However, despite clear connections between RE and KBE, little has been done toward properly unifying these models systematically. We help close the gap with a framework that unifies the learning of RE and KBE models leading to significant improvements over the state-of-the-art in RE. The code is available at https://github.com/billy-inn/HRERE.Comment: Camera-ready for NAACL HLT 201

    Emergence of scalar matter from spinfoam model

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    A spinfoam model of 3D gravity non-minimally coupled with a scalar field is studied. By discretization of the scalar field, the model is worked out precisely in a purely combinational way. It is shown that the quantum physics of the scalar matter are totally encoded into the modified dynamics of SU(2) spin-network states which describe the quantum geometry of space. It turns out that the physics of the scalar matter coupled with gravity manifested in the low energy scale can be viewed as the phenomena emerged from this microscopical construction. This gives rise to a radical observation on the issue of the unification of geometry and matter.Comment: 5 pages, 5 figures, revte

    Symmetrizable intersection matrices and their root systems

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    In this paper we study symmetrizable intersection matrices, namely generalized intersection matrices introduced by P. Slodowy such that they are symmetrizable. Every such matrix can be naturally associated with a root basis and a Weyl root system. Using dd-fold affinization matrices we give a classification, up to braid-equivalence, for all positive semi-definite symmetrizable intersection matrices. We also give an explicit structure of the Weyl root system for each dd-fold affinization matrix in terms of the root system of the corresponding Cartan matrix and some special null roots

    Analysis of diffusion and trapping efficiency for random walks on non-fractal scale-free trees

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    We study discrete random walks on the NFSFT and provide new methods to calculate the analytic solutions of the MFPT for any pair of nodes, the MTT for any target node and MDT for any source node. Further more, using the MTT and the MDT as the measures of trapping efficiency and diffusion efficiency respectively, we compare the trapping efficiency and diffusion efficiency for any two nodes of NFSFT and find the best (or worst) trapping sites and the best (or worst) diffusion sites. Our results show that: the two hubs of NFSFT is the best trapping site, but it is also the worst diffusion site, the nodes which are the farthest nodes from the two hubs are the worst trapping sites, but they are also the best diffusion sites. Comparing the maximum and minimum of MTT and MDT, we found that the ratio between the maximum and minimum of MTT grows logarithmically with network order, but the ratio between the maximum and minimum of MTT is almost equal to 11. These results implie that the trap's position has great effect on the trapping efficiency, but the position of source node almost has no effect on diffusion efficiency. We also conducted numerical simulation to test the results we have derived, the results we derived are consistent with those obtained by numerical simulation.Comment: 23 pages, 4 figure
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