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researcher

Yan Lv

4 papers hereh-index 10481 citations27 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.AP3
  • gr-qc1
same name
  • Yan Lv — 4 papers, h 1
  • Yan Lv — 2 papers, h 6
  • Yan Lv — 2 papers, h 2
  • Yan Lv — 1 paper, h 2

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
20032012
most citedThe Real Scalar Field in Schwarzschild-de Sitter Spacetime

21 citations · 36 across the 4 of their papers we have counts for

collaborators

4 papers

math.AP2012★ 1 cited

Approximation of the random inertial manifold of singularly perturbed stochastic wave equations

Yan Lv, Wei Wang, Anthony Roberts

By applying Rohlin's result on the classification of homomorphisms of Lebesgue space, the random inertial manifold of a stochastic damped nonlinear wave equations with singular per…

math.AP2011

On the approximation for singularly perturbed stochastic wave equations

Wei Wang, Yan Lv, A. J. Roberts

We explore the relation between fast waves, damping and imposed noise for different scalings by considering the singularly perturbed stochastic nonlinear wave equations νu_{tt}+u_t…

math.AP2011★ 14 cited

Averaging approximation to singularly perturbed nonlinear stochastic wave equations

Yan Lv, A. J. Roberts

An averaging method is applied to derive effective approximation to the following singularly perturbed nonlinear stochastic damped wave equation νu_{tt}+u_t=\D u+f(u)+ν^α\dot{W} on…

gr-qc2003★ 21 cited

The Real Scalar Field in Schwarzschild-de Sitter Spacetime

Jianxiang Tian, Yuanxing Gui, Guanghai Guo +3

In this paper, the real scalar field equation in Schwarzschild-de Sitter spacetime is solved numerically with high precision. A method called polynomial approximation is introduced…

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