论文标题
部分可观测时空混沌系统的无模型预测
The mean and variance of the distribution of shortest path lengths of random regular graphs
论文作者
论文摘要
随机网络的最短路径长度(DSPL)的分布提供了有关其大规模结构的有用信息。在特殊情况下,随机常规图(RRGS)由$ n $ n $ c \ ge 3 $组成,dspl,用$ p(l = \ ell)$表示,遵循离散的gompertz分布。使用离散的拉普拉斯变换,我们在RRG的DSPL的矩生成函数中得出了封闭形式的表达式。从生成函数开始,我们获得了DSPL的均值和方差的闭合形式表达式。更具体地说,我们发现,不同节点对之间的平均距离由$ \ langle l \ rangle = \ frac {\ ln n} {\ ln(c-1)} + \ frac {1} {1} {1} {2} {2} {2} - \ frac { \ Mathcal {o} \ left(\ frac {\ ln n} {n} \ right)$,其中$γ$是Euler-Mascheroni常数。虽然已知领先的术语,但该结果包括一个新的校正项,该校正项与通过tail-langle l \ rangle $通过尾巴公式获得的直接数值评估获得的结果非常吻合,并从计算机模拟中获得的结果。但是,它不考虑$ \ langle l \ rangle $的振荡行为,这是$ c $或$ n $的函数。这些振荡在稀疏网络中可以忽略不计,但在密集网络中可检测到。我们还得出了DSPL的方差$ {\ rm var}(l)$的表达式,该$ {\ rm var}(l)$捕获了差异对$ c $的总体依赖性,但不考虑振荡。振荡是由于随机节点周围壳结构的离散性质。随着$ n $的增加,它们反映了新壳的填充物的轮廓。将平均值和方差的结果与其他类型的随机网络中获得的相应结果进行比较。讨论了平均距离与直径之间的关系。
The distribution of shortest path lengths (DSPL) of random networks provides useful information on their large scale structure. In the special case of random regular graphs (RRGs), which consist of $N$ nodes of degree $c \ge 3$, the DSPL, denoted by $P(L=\ell)$, follows a discrete Gompertz distribution. Using the discrete Laplace transform we derive a closed-form expression for the moment generating function of the DSPL of RRGs. From the moment generating function we obtain closed-form expressions for the mean and variance of the DSPL. More specifically, we find that the mean distance between pairs of distinct nodes is given by $\langle L \rangle = \frac{\ln N}{\ln (c-1)} + \frac{1}{2} - \frac{ \ln c - \ln (c-2) +γ}{\ln (c-1)} + \mathcal{O} \left( \frac{\ln N}{N} \right)$, where $γ$ is the Euler-Mascheroni constant. While the leading term is known, this result includes a novel correction term, which yields very good agreement with the results obtained from direct numerical evaluation of $\langle L \rangle$ via the tail-sum formula and with the results obtained from computer simulations. However, it does not account for an oscillatory behavior of $\langle L \rangle$ as a function of $c$ or $N$. These oscillations are negligible in sparse networks but detectable in dense networks. We also derive an expression for the variance ${\rm Var}(L)$ of the DSPL, which captures the overall dependence of the variance on $c$ but does not account for the oscillations. The oscillations are due to the discrete nature of the shell structure around a random node. They reflect the profile of the filling of new shells as $N$ is increased. The results for the mean and variance are compared to the corresponding results obtained in other types of random networks. The relation between the mean distance and the diameter is discussed.