Norm of a doubly-stochastic stationary vector

A Markov chain on S={1,2,…,100}S = \{1, 2, \dots, 100\} has a doubly-stochastic transition matrix (every row and every column sums to 11). Let π\pi be its stationary distribution. Compute the Euclidean norm ∥π∥2\lVert \pi \rVert_2.

Show hints (2)+
  1. Doubly stochastic ⇒\Rightarrow the uniform distribution is stationary. What is π\pi?
  2. πi=1100\pi_i=\tfrac1{100}, so ∥π∥2=100⋅(1/100)2=110\lVert\pi\rVert_2=\sqrt{100\cdot(1/100)^2}=\tfrac1{10}.

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