том 32 издание 2 страницы 898-906

A Smooth Transition from Wishart to GOE

Тип публикацииJournal Article
Дата публикации2018-01-15
Связанные публикации
scimago Q2
wos Q4
white level БС3
SJR0.55
CiteScore1.4
Impact factor0.6
ISSN08949840, 15729230
General Mathematics
Statistics and Probability
Statistics, Probability and Uncertainty
Краткое описание
It is well known that an $$n \times n$$ Wishart matrix with d degrees of freedom is close to the appropriately centered and scaled Gaussian orthogonal ensemble (GOE) if d is large enough. Recent work of Bubeck, Ding, Eldan, and Racz, and independently Jiang and Li, shows that the transition happens when $$d = \Theta ( n^{3} )$$ . Here we consider this critical window and explicitly compute the total variation distance between the Wishart and GOE matrices when $$d / n^{3} \rightarrow c \in (0, \infty )$$ . This shows, in particular, that the phase transition from Wishart to GOE is smooth.
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ГОСТ |
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Rácz M. Z., Richey J. A Smooth Transition from Wishart to GOE // Journal of Theoretical Probability. 2018. Vol. 32. No. 2. pp. 898-906.
ГОСТ со всеми авторами (до 50) Скопировать
Rácz M. Z., Richey J. A Smooth Transition from Wishart to GOE // Journal of Theoretical Probability. 2018. Vol. 32. No. 2. pp. 898-906.
RIS |
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TY - JOUR
DO - 10.1007/s10959-018-0808-2
UR - https://doi.org/10.1007/s10959-018-0808-2
TI - A Smooth Transition from Wishart to GOE
T2 - Journal of Theoretical Probability
AU - Rácz, Miklós Z.
AU - Richey, Jacob
PY - 2018
DA - 2018/01/15
PB - Springer Nature
SP - 898-906
IS - 2
VL - 32
SN - 0894-9840
SN - 1572-9230
ER -
BibTex |
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@article{2018_Rácz,
author = {Miklós Z. Rácz and Jacob Richey},
title = {A Smooth Transition from Wishart to GOE},
journal = {Journal of Theoretical Probability},
year = {2018},
volume = {32},
publisher = {Springer Nature},
month = {jan},
url = {https://doi.org/10.1007/s10959-018-0808-2},
number = {2},
pages = {898--906},
doi = {10.1007/s10959-018-0808-2}
}
MLA
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Rácz, Miklós Z., and Jacob Richey. “A Smooth Transition from Wishart to GOE.” Journal of Theoretical Probability, vol. 32, no. 2, Jan. 2018, pp. 898-906. https://doi.org/10.1007/s10959-018-0808-2.
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