Stationary law of a two-resource linear flow network ($\pi (a,b,c)$)

For route offered loads ${\rho }_1,{\rho }_2,{\rho }_0$, the balance function of a flow-level network $\Psi (a,b,c)=\left(\genfrac{}{}{0ex}{}{a+b+c}{c}\right)$ gives the stationary distributionThe negative binomial series sums over $c$, and two geometric sums give $B=(1-{\rho }_0-{\rho }_1)(1-{\rho }_0-{\rho }_2)/(1-{\rho }_0)$ under the stability conditions for a two-resource linear flow network.

In the stationary law of a two-resource linear flow network, the local counts are independent geometric variables with parameters $q_i={\rho }_i/(1-{\rho }_0)$. Conditional on local counts $a,b$, the through count has a negative binomial distribution with mean ${\rho }_0(a+b+1)/(1-{\rho }_0)$. With positive loads, it is correlated with each local count, even though those two local counts are independent. Degenerate zero-load cases must be distinguished from the positive-load assertion.

The stationary law of a two-resource linear flow network is normalizable exactly whenThese are the strict offered-load constraints on the two unit-capacity resources. Summing first over the through-route count reduces normalization to two geometric series, which diverge at equality. With positive arrival rates, the nonexplosive continuous-time Markov chain is then positive recurrent.