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pro vyhledávání: '"Bae, Jun"'
Autor:
Park, Bae Jun
In this work, we establish $L^{p_1}\times \cdots\times L^{p_1}\to L^p$ bounds for maximal multi-(sub)linear singular integrals associated with homogeneous kernels $\frac{\Omega(\vec{\boldsymbol{y}}')}{|\vec{\boldsymbol{y}}|^{mn}}$ where $\Omega$ is a
Externí odkaz:
http://arxiv.org/abs/2409.00357
Autor:
Park, Bae Jun, Tomita, Naohito
In this paper, we study sharp maximal function estimates for multilinear pseudo-differential operators. Our target is operators of type (0, 0) for which a differentiation does not make any decay of the associated symbol. Analogous results for operato
Externí odkaz:
http://arxiv.org/abs/2405.02093
We prove a sharp criterion for the boundedness of bilinear Fourier multiplier operators associated with symbols obtained by summing all dyadic dilations of a given bounded function $m_0$ compactly supported away from the origin. Our result admits the
Externí odkaz:
http://arxiv.org/abs/2402.15785
Autor:
Park, Bae Jun
Shifted variants of (dyadic) Hardy-Littlewood maximal function and Stein's square function have played a significant role in the study of many important operators such as Calderon commutators, (bilinear) Hilbert transforms, multilinear multipliers, a
Externí odkaz:
http://arxiv.org/abs/2401.17785
Autor:
Park, Bae Jun, Tomita, Naohito
In this paper, we study pointwise estimates for linear and multilinear pseudo-differential operators with exotic symbols in terms of the Fefferman-Stein sharp maximal function and Hardy-Littlewood type maximal function. Especially in the multilinear
Externí odkaz:
http://arxiv.org/abs/2310.14275
In this paper, we investigate the H\"ormander type theorems for the multi-linear and multi-parameter Fourier multipliers. When the multipliers are characterized by $L^u$-based Sobolev norms for $1
Externí odkaz:
http://arxiv.org/abs/2306.08462
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment (2023) 1049 168024
A method for reconstructing the direction of a fast neutron source using a segmented organic scintillator-based detector and deep learning model is proposed and analyzed. The model is based on recurrent neural network, which can be trained by a seque
Externí odkaz:
http://arxiv.org/abs/2301.10796
Publikováno v:
SciPost Phys. 15, 139 (2023)
The increased ability to engineer two-dimensional (2D) systems, either using materials, photonic lattices, or cold atoms, has led to the search for 2D structures with interesting properties. One such property is the presence of flat bands. Typically,
Externí odkaz:
http://arxiv.org/abs/2212.03210
Autor:
Kwon, Bae Jun1 (AUTHOR) bae.jun.kwon@dnv.com, Kim, Chan-Jung2 (AUTHOR) cjkim@pknu.ac.kr
Publikováno v:
Polymers (20734360). Sep2024, Vol. 16 Issue 18, p2642. 12p.
Autor:
Kim, Kyu-Seek1 (AUTHOR) zpdlems@naver.com, Bae, Jun-Su1 (AUTHOR) bjs0942@naver.com, Moon, Hyuk-Jin1,2 (AUTHOR) qlfmzks@chungbuk.ac.kr, Kim, Do-Young1 (AUTHOR) un-joo6302@daum.net, Woo, Soo-Dong1,2 (AUTHOR) sdwoo@cbnu.ac.kr
Publikováno v:
Insects (2075-4450). Sep2024, Vol. 15 Issue 9, p686. 12p.