CYChenggui Yuan

Chenggui Yuan

*This is an algorithmically generated author record based on publicly available information.

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Chenggui Yuan has a total of 89 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Strong solutions and sharp Euler--Maruyama approximations for SDEs with Lebesgue--Dini drift

    by Jinlong Wei, Junhao Hu, Guangying Lv, Chenggui Yuan

    We investigate the strong approximation of stochastic differential equations whose drift is square-integrable in time and Dini continuous in space, while the diffusion coefficient is non-constant and uniformly elliptic. Using a refined Itô--Tanaka trick combined with parabolic regularity estimates, we first establish strong well-posedness and the stochastic flow property. Under additional Lipschitz regularity of the diffusion matrix, we then analyze a polygonal-type Euler--Maruyama scheme and prove the strong error estimate \[ \Big\|\sup_{0\le t\le1}|X_t-X_t^n|\Big\|_{L^p(Ω)} \le C n^{-\frac12}\log(n)^{\frac32}, \quad p\ge2. \] We further show that this rate is sharp: even under smooth and uniformly elliptic diffusion coefficients with vanishing drift, the convergence order $1/2$ cannot be improved. These results provide the first sharp quantitative strong convergence estimates in a Lebesgue--Dini drift framework.

  • Open Access

    How does the rate of environmental change affect density-dependent population dynamics?

    by Christophe F.D. Coste, Brett Petersen, Dongbo Li, Chenggui Yuan, Steven M. Sait, Mike Fowler

    Natural populations experience variable environments. Anthropogenically driven environmental change, in particular, is expected to impose trends on key demographic parameters such as reproduction and survival. Theoretical studies of how such environmental changes affect populations have highlighted dynamical phenomena including bifurcation-related tipping points – typically identified by comparing different, but constant, environmental states – and long transients – that can arise after sudden environmental perturbations. However, real-world environmental trends are neither instantaneous nor slow enough to justify treating the environment as constant, motivating recent interest in r-tipping points – regime shifts induced by \emph{r}, the rate of environmental change in demographic parameters. Most existing work examines this phenomenon in complex ecological models and for specific values of \emph{r}. Here, we develop tools to help ecologists investigate how populations and communities respond to environmental trends across a continuum of \emph{r} values. Using a simple density-dependent model, we identify four qualitatively distinct responses to a trend as a function of \emph{r} – patterns that traditional methods fail to reveal – and we visualize them using an \emph{r-bifurcation diagram} introduced here. We also describe and mathematically explain the emergence of abrupt regime shifts linked to delayed bifurcations, revealed by a novel \emph{superimposition diagram}. These findings are robust across modelling frameworks and ecological contexts, providing new insights into interactions between short- and long-term environmental change processes.

  • Open Access

    Large Deviation Principle for neutral type McKean–Vlasov stochastic differential equations

    by Zhaohang Wang, Junhao Hu, Chenggui Yuan

    This paper investigates neutral-type McKean-Vlasov stochastic differential equations in which the drift and diffusion coefficients depend on both the segment process and its distribution. Under a one-sided Lipschitz condition on the drift coefficient, we establish a Freidlin-Wentzell-type large deviation principle for the solution process by using the extended contraction principle combined with an exponential approximation technique. Our results extend existing large deviation principles for McKean-Vlasov equations to the neutral case.

  • Top Cited Papers
    Open Access

    A new proof on quasilinear Schrödinger equations with prescribed mass and combined nonlinearities

    by Jianhua Chen, Jijiang Sun, Chenggui Yuan, Jian Zhang

    In this work, we study the quasilinear Schrödinger equation $ \begin{equation*} \begin{aligned} -\Delta u-\Delta(u^2)u = |u|^{p-2}u+|u|^{q-2}u+\lambda u, \, \, x\in \mathbb{R}^N, \end{aligned} \end{equation*} $ under the mass constraint $ \begin{equation*} \displaystyle \int_{ \mathbb{R}^N}|u|^2\text{d}x = a, \end{equation*} $ where $ N\geq2 $, $ 2<p<2+\frac{4}{N}<4+\frac{4}{N}\leq q<2\cdot2^* $, $ a>0 $ is a given mass, and $ \lambda $ is a Lagrange multiplier. As a continuation of our previous work (Chen et al., 2025, arXiv:2506.07346v1), we establish some results by means of a suitable change of variables as follows: $ {\bf{(i)}} $ Qualitative analysis of the constrained minimization For $ 2<p<4+\frac{4}{N}\leq q<2\cdot2^* $, we provide a detailed study of the minimization problem under some appropriate conditions on $ a>0 $. $ {\bf{(ii)}} $ Existence of two distinct solutions For $ 2<p<2+\frac{4}{N}<4+\frac{4}{N}<q\leq2^* $, we obtain a radial local minimizer under the normalized constraint. For $ 2<p<2+\frac{4}{N}<4+\frac{4}{N}<q\leq2^* $, we obtain a radial mountain-pass-type normalized solution distinct from the local minimizer. Notably, the second result (ⅱ) resolves the open problem (OP1) posed by (Chen et al., 2025, arXiv:2506.07346v1). Unlike previous approaches that rely on constructing Palais-Smale-Pohozaev sequences by [Jeanjean, 1997, Nonlinear Anal. 28, 1633-1659], we obtain the mountain pass solution employing a new method, which relies on the monotonicity trick developed by (Chang et al., 2024, Ann. Inst. H. Poincaré C Anal. Non Linéaire, 41, 933-959). We emphasize that the methods developed in this work can be extended to investigate the existence of mountain-pass-type normalized solutions for other classes of quasilinear Schrödinger equations via the dual method.


  • Open Access

    Large Deviation Principle for Neutral Type Mckean-Vlasov Stochastic Differential Equations

    by Zhaohang Wang, Junhao Hu, Chenggui Yuan

    This paper investigates neutral-type McKean-Vlasov stochastic differential equations in which the drift and diffusion coefficients depend on both the segment process and its distribution. Under a one-sided Lipschitz condition on the drift coefficient, we establish a Freidlin-Wentzell-type large deviation principle for the solution process by using the extended contraction principle combined with an exponential approximation technique. Our results extend existing large deviation principles for McKean-Vlasov equations to the neutral case.

  • Open Access

    The Euler-Maruyama method for SDEs with low-regularity drift

    by Jinlong Wei, Junhao Hu, Guangying Lv, Chenggui Yuan

    We study the strong $L^p$-convergence rates of the Euler-Maruyama method for stochastic differential equations driven by Brownian motion with low-regularity drift coefficients. Specifically, the drift is assumed to be in the Lebesgue-Hölder spaces $L^q([0,T]; {\mathcal C}_b^α({\mathbb R}^d))$ with $α\in(0,1)$ and $q\in (2/(1+α),\infty]$. For every $p\geq 2$, by using stochastic sewing and/or the Itô-Tanaka trick, we obtain the $L^p$-convergence rates: $(1+α)/2$ for $q\in [2,\infty]$ and $(1-1/q)$ for $q\in (2/(1+α),2)$. Moreover, we prove that the unique strong solution can be constructed via the Picard iteration.

  • Path-distribution dependent SDEs: Well-posedness and asymptotic log-Harnack inequality

    by Feng-Yu Wang, Chenggui Yuan, Xiao-Yu Zhao

    We consider stochastic differential equations on $ {\mathbb R}^d $ with coefficients depending on the path and distribution for the whole history. Under a local integrability condition on the time-spatial singular drift, the well-posedness and Lipschitz continuity in initial values are proved, which is new even in the distribution independent case. Moreover, under a monotone condition, the asymptotic log-Harnack inequality is established, which extends the corresponding result of [ 5 ] derived in the distribution independent case.


  • Large deviation for slow-fast McKean–Vlasov stochastic differential equations driven by fractional Brownian motions and Brownian motions

    by Hao Wu, Junhao Hu, Chenggui Yuan

    In this paper, we consider slow-fast McKean–Vlasov stochastic differential equations driven by fractional Brownian motions with Hurst parameter [ ] and Brownian motions. We give a definition of the large deviation principle (LDP) on the product space related to fractional Brownian motion and Brownian motion, which is different from the traditional definition for LDP. Under some proper assumptions on coefficients, LDP is investigated for this type of equations by using the weak convergence method.


  • Open Access

    Humidity modifies species‐specific and age‐dependent heat stress effects in an insect host‐parasitoid interaction

    by Dongbo Li, Benjamin Brough, Jasper W. Rees, Christophe F. D. Coste, Chenggui Yuan, Mike S. Fowler, Steven M. Sait

    Climate change is projected to increase the frequency and intensity of extreme heat events, and may increase humidity levels, leading to coupled thermal and hydric stress. However, how humidity modulates the impacts of heat stress on species and their interactions is currently unknown. Using an insect host‐parasitoid interaction: the Indian meal moth, Plodia interpunctella, and its endoparasitoid wasp, Venturia canescens, we investigated how humidity interacted with heat stress duration, applied at different host developmental stages, to affect life history traits. Hosts parasitized as 4th instar larvae and unparasitized hosts were maintained in high‐ (60.8% RH) or low‐humidity (32.5% RH) at constant 28°C. They were then exposed to a 38°C thermal stress with a duration of 0 (no heat stress), 6 or 72 h in either the 4th or 5th host instar. Neither humidity nor heat stress duration affected emergence of unparasitized hosts, but increasing heat stress duration during the 4th instar decreased parasitoid emergence irrespective of humidity. When applied during the 5th instar, increasing heat duration decreased parasitoid emergence under low humidity, but no effect of heat stress was found under high humidity. Moreover, experiencing longer heat stress in the 4th instar increased host larval development time and decreased body size under high humidity, but this effect differed under low humidity; increasing heat duration in the 5th instar decreased parasitoid body sizes only under low humidity. Larval stage and heat stress duration directly affected parasitized host survival time, with a concomitant indirect reduction of parasitoid sizes. We show that humidity modifies key life history responses of hosts and parasitoids to heat stress in species‐specific ways, highlighting the potential importance of humidity in regulating host‐parasitoid interactions and their population dynamics. Finally, we emphasize that interactions between environmental stressors need to be considered in climate change research.