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Exact and limit results for the CTRW in presence of drift and position dependent noise intensity

Marco Bianucci, Mauro Bologna, Riccardo Mannella

Abstract

Continuous-time random walks (CTRWs) with drift and position-dependent jumps provide a highly general framework for describing a wide range of natural and engineered systems. We analyze the stochastic differential equation (SDE) associated with this class of models, in which the driving noise $ξ(t)$ consists of spike (shot) events, and we derive two exact analytical results. First, we obtain a closed-form expression for the $n$-time correlation functions of $ξ(t)$, expressed as a sum over all $2^{\,n-1}$ ordered partitions of the observation times (Proposition~2). Second, using the $G$-cumulant formalism, we derive an \emph{exact} non-local master equation (ME) for the probability density function of the CTRW variable $x(t)$, valid without invoking diffusive limits, fractional scaling assumptions, or closure hypotheses (Proposition~3). In interaction representation, this ME retains the same structural form as that of the standard CTRW without drift or position-dependent jumps. Our main result is the emergence of a \textbf{universal local master equation}: at long times, the exact non-local ME is universally and accurately approximated by a time-local ME whose only coefficient is the instantaneous renewal rate $R(t)$. This approximation reproduces the exact Poissonian ME when $R$ is constant, and numerical experiments confirm its remarkable accuracy even far beyond regimes where a naive time-scale separation would justify it.

Exact and limit results for the CTRW in presence of drift and position dependent noise intensity

Abstract

Continuous-time random walks (CTRWs) with drift and position-dependent jumps provide a highly general framework for describing a wide range of natural and engineered systems. We analyze the stochastic differential equation (SDE) associated with this class of models, in which the driving noise consists of spike (shot) events, and we derive two exact analytical results. First, we obtain a closed-form expression for the -time correlation functions of , expressed as a sum over all ordered partitions of the observation times (Proposition~2). Second, using the -cumulant formalism, we derive an \emph{exact} non-local master equation (ME) for the probability density function of the CTRW variable , valid without invoking diffusive limits, fractional scaling assumptions, or closure hypotheses (Proposition~3). In interaction representation, this ME retains the same structural form as that of the standard CTRW without drift or position-dependent jumps. Our main result is the emergence of a \textbf{universal local master equation}: at long times, the exact non-local ME is universally and accurately approximated by a time-local ME whose only coefficient is the instantaneous renewal rate . This approximation reproduces the exact Poissonian ME when is constant, and numerical experiments confirm its remarkable accuracy even far beyond regimes where a naive time-scale separation would justify it.
Paper Structure (35 sections, 11 theorems, 178 equations, 12 figures)

This paper contains 35 sections, 11 theorems, 178 equations, 12 figures.

Key Result

Proposition 1

The exact nonlocal ME ME_fin collapses, in a precise asymptotic sense, onto a local-in-time equation formally identical to the Poissonian ME, with the constant rate $1/\tau$ replaced by the time-dependent renewal rate $R(t)$: This holds both when the mean waiting time $\tau$ is finite (Proposition muG2) and when it diverges with $1<\mu<2$ (Proposition prop:approxME). It is not a phenomenological

Figures (12)

  • Figure 1: A trajectory realization $\xi(t)$ for the case of Lévy flight-CTRW, with $t_0=0$. We have $\xi( t)=\sum_{q=0}^{\infty} \xi_q \; \delta\left(t-\sum_{k=0}^q \theta_k\right)$, (see text for details).
  • Figure 2: $P(x\hbox{;}\, t)$ at times $t = 0.5$ for the SDE \ref{['SDE']} in the multiplicative case, i.e., with $C(x) =\gamma\,x$ and $I(x)=1+\beta \,x$, where $\gamma=1.0$ and $\beta =0.5$. The jump PDF is both dichotomous (black color) and Gaussian (green color), the WT is $\psi(t)=(\mu -1){T}^{-1}\left(1+t/T\right)^{-\mu }$ with $T=1$ and $\mu=1.5$. The figure shows the results of numerical simulations of the SDE together with the solution of the exact theoretical PDE in Eq. \ref{['ME_fin']} (dashed lines, barely visible). The insert shows the same plot but in log scale. As expected, the agreement between theory and simulation is perfect.
  • Figure 3: The same as fig. \ref{['fig:def_comp_t0.2_pde_dico-gauss_mu1.50_tz1.00']}, but for $\mu=3.5$ (from which $\tau=T/(\mu-2)=2/3$) and for the sole dichotomous jump PDF case. Because $\mu>2$ from the result 3, point \ref{['en:1']}, we can exploit the analytical findings of \ref{['app:ME_resuls']}. For example, the tail of the PDF goes as $x^{-(\alpha+1)}$, where $\alpha\approx3.9$ is obtained from the transcendental implicit Eq. \ref{['power2']} (dashed brown line).
  • Figure 4: Log-plot (left) and linear plot (right) of $P(x,t)$ at $t=5$ (top), $t=30$ (center), and $t=100$ (bottom) for the SDE \ref{['SDE']} in the additive case (i.e., with $I(x)=1$) with strongly nonlinear drift, $C(x) = -x(1.2 - x^2)$. The system is driven by renewal noise with dichotomous jumps PDF and WT PDF $\psi(t)=(\mu -1)T^{-1}(1+t/T)^{-\mu}$, with $T=2$ and $\mu=1.5$ (infinite aging). Circles correspond to direct numerical simulations of the SDE \ref{['SDE']}, while the dotted curves show the solution of the approximate local-in-time ME given in Eq. \ref{['ME_universal_intro']}. The vertical scale on the right hand plates decreases as time increases, to show the vanishing of the PDF as predicted by Eq. \ref{['ME_universal_intro']}, and it is clipped: at the two equilibrium points the PDF reaches a stationary value outside the range shown (see the left hand plates) The agreement between theory and simulations is very good.
  • Figure 5: Same as Fig. \ref{['fig:Def_pdedico_t5-30-100_mu1.5_tz2.00_ga1.2_Cubic_appr']}, but with $\mu=2.5$ and shown only for $t=30$ and $t=100$. The two curves are almost perfectly superimposed, indicating that the Poissonian equilibrium has effectively been reached.
  • ...and 7 more figures

Theorems & Definitions (11)

  • Proposition 1: Universal Local ME — informal statement
  • Proposition 2
  • Proposition 3
  • Theorem 1: Universal Local ME
  • Proposition 4
  • Proposition 5
  • Proposition 6
  • Proposition 7
  • Lemma 1
  • Proposition 8
  • ...and 1 more