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Lei Jin

16 papers hereh-index 6116 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author3
  • last author4

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • math.DS16
same name
  • Lei Jin — 14 papers, h 20
  • Lei Jin — 10 papers, h 9
  • Lei Jin — 8 papers, h 4
  • Lei Jin — 5 papers, h 22
  • Lei Jin — 5 papers, h 14
  • Lei Jin — 4 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedMean proximality and mean Li-Yorke chaos

14 citations · 25 across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

math.DS2018

Zero-dimensional isomorphic dynamical models

Tomasz Downarowicz, Lei Jin, Wolfgang Lusky +1

By an \emph{assignment} we mean a mapping from a Choquet simplex K to probability measure-preserving systems, obeying some natural restrictions. We prove that if Φ is an aperio…

math.DS2018

A new universal real flow of the Hilbert-cubical type

Lei Jin, Siming Tu

We provide a new universal real flow of the Hilbert-cubical type. We prove that any real flow can be equivariantly embedded in the translation on L(R)N, where…

math.DS2018★ 1 cited

A Lipschitz refinement of the Bebutov--Kakutani dynamical embedding theorem

Yonatan Gutman, Lei Jin, Masaki Tsukamoto

We prove that an R-action on a compact metric space embeds equivariantly in the space of one-Lipschitz functions R→[0,1] if its fixed point set can be topol…

math.DS2018

Mean dimension and an embedding theorem for real flows

Yonatan Gutman, Lei Jin

We develop mean dimension theory for R-flows. We obtain fundamental properties and examples and prove an embedding theorem: Any real flow (X,R) of mean dimens…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.