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Nonabelian omni-Lie algebroids
Yanhui BI, Hongtao FAN, Danlu CHEN
Frontiers of Mathematics in China. 2022, 17 (6): 1037-1049.
https://doi.org/10.1007/s11464-022-1033-y
In this paper, we study the structure of nonabelian omni-Lie algebroids. Firstly, taking Lie algebroid as the starting point, a nonabelian omni-Lie algebroid is defined on direct sum bundle , where and are, respectively, the gauge Lie algebroid and the jet bundle of vector bundle , and study its properties. Furthermore, it is concluded that the nonabelian omni-Lie algebroid is a trivial deformation of the omni-Lie algebroid, and the nonabelian omni-Lie algebroid is a matched pair of Leibniz algebroids.
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Conformal biderivations of loop W (a, b) Lie conformal algebra
Jun ZHAO, Liangyun CHEN, Lamei YUAN
Frontiers of Mathematics in China. 2022, 17 (6): 1157-1167.
https://doi.org/10.1007/s11464-021-0965-y
We study conformal biderivations of a Lie conformal algebra. First, we give the definition of a conformal biderivation. Next, we determine the conformal biderivations of loop W(a, b) Lie conformal algebra, loop Virasoro Lie conformal algebra, and Virasoro Lie conformal algebra. Especially, all conformal biderivations on Virasoro Lie conformal algebra are inner conformal biderivations.
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Measurable n-sensitivity and maximal pattern entropy
Ruifeng ZHANG
Frontiers of Mathematics in China. 2022, 17 (6): 1169-1180.
https://doi.org/10.1007/s11464-021-0957-y
We introduce the notion of measurable n-sensitivity for measure preserving systems, and study the relation between measurable n-sensitivity and the maximal pattern entropy. We prove that, if (X, B, µ, T) is ergodic, then (X, B, µ, T) is measurable n-sensitive but not measurable (n+1)-sensitive if and only if hµ*(T) = log n, where hµ* (T) is the maximal pattern entropy of T.
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Fractional Fourier transform on R2 and an application
Yue ZHANG, Wenjuan LI
Frontiers of Mathematics in China. 2022, 17 (6): 1181-1200.
https://doi.org/10.1007/s11464-021-0983-9
We focus on the Lp(R2) theory of the fractional Fourier transform (FRFT) for 1 ≤ p ≤ 2. In L1(R2), we mainly study the properties of the FRFT via introducing the two-parameter chirp operator. In order to get the point-wise convergence for the inverse FRFT, we introduce the fractional convolution and establish the corresponding approximate identities. Then the well-defined inverse FRFT is given via approximation by suitable means, such as fractional Gauss means and Able means. Furthermore, if the signal Fα,βf is received, we give the process of recovering the original signal f with MATLAB. In L2(R2), the general Plancherel theorem, direct sum decomposition, and the general Heisenberg inequality for the FRFT are obtained.
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