Stochastic quantisation of Yang–Mills–Higgs in 3D
Stochastic quantisation of Yang–Mills–Higgs in 3D
复制标题
3D 环境中 Yang-Mills-Higgs 的随机量化
DOI:
10.1007/s00222-024-01264-2
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发表时间:
2022
影响因子:
3.1
通讯作者:
Hao Shen
中科院分区:
文献类型:
--
作者:
A. Chandra;I. Chevyrev;Martin Hairer;Hao Shen
We define a state space and a Markov process associated to the stochastic quantisation equation of Yang–Mills–Higgs (YMH) theories. The state space $\mathcal{S}$
S
is a nonlinear metric space of distributions, elements of which can be used as initial conditions for the (deterministic and stochastic) YMH flow with good continuity properties. Using gauge covariance of the deterministic YMH flow, we extend gauge equivalence ∼ to $\mathcal{S}$
S
and thus define a quotient space of “gauge orbits” $\mathfrak {O}$
O
. We use the theory of regularity structures to prove local in time solutions to the renormalised stochastic YMH flow. Moreover, by leveraging symmetry arguments in the small noise limit, we show that there is a unique choice of renormalisation counterterms such that these solutions are gauge covariant in law. This allows us to define a canonical Markov process on $\mathfrak {O}$
O
(up to a potential finite time blow-up) associated to the stochastic YMH flow.
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影响因子:
2.4
作者:
Chatterjee, Sourav
通讯作者:
Chatterjee, Sourav
DOI:
10.1007/s10240-022-00132-0
发表时间:
2020-06
期刊:
Publications mathématiques de l'IHÉS
影响因子:
--
作者:
A. Chandra;I. Chevyrev;Martin Hairer;Hao Shen
通讯作者:
A. Chandra;I. Chevyrev;Martin Hairer;Hao Shen
影响因子:
1.6
作者:
Hairer M
通讯作者:
Hairer M
影响因子:
2.4
作者:
Hao Shen;Rongchan Zhu;Xiangchan Zhu
通讯作者:
Hao Shen;Rongchan Zhu;Xiangchan Zhu
影响因子:
2.4
作者:
Chatterjee, Sourav
通讯作者:
Chatterjee, Sourav