#[Steady state vector][Vector de estado estable]#
If $P$ is the transition matrix for a Markov system, and if $v ={}$[x, y, z, ...] (as many unknowns as states in the Markov system) is a distribution vector with the property that

$vP = v$,

then we refer to $v$ as a steady state (distribution) vector.

#[One for you][Uno para ti]#

#[Let][Sea]# $P ={} $%0.

#[Then][Entonces]# $v =$%1 RADIO#[a steady state probability vector for $P$][un vector de probabilidad de estado estable para $P$]#

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