A Sharp Bound on the $s$-Energy and Its Applications to Averaging Systems
A Sharp Bound on the $s$-Energy and Its Applications to Averaging Systems
复制标题
$s$-能量的急剧界限及其在平均系统中的应用
DOI:
--
复制
发表时间:
2018
影响因子:
6.8
通讯作者:
B. Chazelle
中科院分区:
文献类型:
--
作者:
B. Chazelle
The <italic><inline-formula><tex-math notation="LaTeX">$s$</tex-math></inline-formula>-energy</italic> is a generating function of wide applicability in network-based dynamics. We derive an (essentially) optimal bound of <inline-formula><tex-math notation="LaTeX">$(3/
ho s)^{n-1}$</tex-math></inline-formula> on the <inline-formula><tex-math notation="LaTeX">$s$</tex-math></inline-formula>-energy of an <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula>-agent symmetric averaging system, for any positive real <inline-formula><tex-math notation="LaTeX">$sleq 1$</tex-math></inline-formula>, where <inline-formula><tex-math notation="LaTeX">$
ho$</tex-math></inline-formula> is a lower bound on the nonzero weights. This is done by introducing the new dynamics of <italic>twist systems</italic>. We show how to use the new bound on the <inline-formula><tex-math notation="LaTeX">$s$</tex-math></inline-formula>-energy to tighten the convergence rates of systems in opinion dynamics, flocking, and synchronization.