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pro vyhledávání: '"DU, Jie"'
By embedding the Hecke algebra $\check H_q$ of type $D$ into the Hecke algebra $H_{q,1}$ of type $B$ with unequal parameters $(q,1)$, the $q$-Schur algebras $S^\kappa_q(n,r)$ of type $D$ is naturally defined as the endomorphism algebra of the tensor
Externí odkaz:
http://arxiv.org/abs/2406.09057
Building on the work [18], where some standard basis for the queer $q$-Schur superalgebra $\mathcal{Q}_q(n,r;R)$ is defined by a labelling set of matrices and their associated double coset representatives, we investigate the matrix representation of
Externí odkaz:
http://arxiv.org/abs/2308.02112
In this paper, we show the numerical solution for spherically symmetric SU(2) EinsteinYang-Mills (EYM) equations. We show the existence of entropy weak solution for EYM.
Externí odkaz:
http://arxiv.org/abs/2307.10199
We present stable solution of static spherically symmetric Einstein-Yang-Mills equations with the SU(2) gauge group. This solution is asymptotically flat and regular at r = 0 and with nontrivial Yang-Mills(YM) connection. With quantized values of the
Externí odkaz:
http://arxiv.org/abs/2210.03046
Let $G$ be a finite group of Lie type. In studying the cross-characteristic representation theory of $G$, the (specialized) Hecke algebra $H=\End_G(\ind_B^G1_B)$ has played a important role. In particular, when $G=GL_n(\mathbb F_q)$ is a finite gener
Externí odkaz:
http://arxiv.org/abs/2209.07675
The idea of using a sequence of finite dimensional algebras to approach a quantum linear group (i.e., a quantum $\mathfrak{gl}_n$) was first introduced by Beilinson-Lusztig-MacPherson [BLM]. In their work, the algebras are convolution algebras of som
Externí odkaz:
http://arxiv.org/abs/2208.13212
Publikováno v:
Fayixue Zazhi, Vol 40, Iss 1, Pp 59-63 (2024)
Important forensic diagnostic indicators of sudden death in coronary atherosclerotic heart disease, such as acute or chronic myocardial ischemic changes, sometimes make it difficult to locate the ischemic site due to the short death process, the lack
Externí odkaz:
https://doaj.org/article/dfca66d7bccd4222af95f63ce00eb35e
Nosie is an important cause of low quality Optical coherence tomography (OCT) image. The neural network model based on Convolutional neural networks(CNNs) has demonstrated its excellent performance in image denoising. However, OCT image denoising sti
Externí odkaz:
http://arxiv.org/abs/2205.00698
Publikováno v:
In Polymer 9 October 2024 311
Publikováno v:
In Neural Networks October 2024 178