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Reversible coarse dynamics

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R2 Reversible coarse dynamics

Let \(Q\) be a finite Markov generator acting on column probability vectors, let \((B_a)\) be a partition into nonempty blocks, and let \(C_{ai}={{\boldsymbol{1}}}_{i\in B_a}\). Strong lumpability means \(CQ=\overline Q C\) for a coarse Markov generator. For observables, the backward generator is \(Q^T\); weighted \(L^2\) inner products use the stated stationary probability.

Theorem R2.1: Reversibility descends

Assume \(Q\) is strongly lumpable and reversible with respect to a positive stationary distribution \(\pi\), so

\[ Q_{ij}\pi_j=Q_{ji}\pi_i. \]

Define

\[ \overline\pi_a=\sum_{i\in B_a}\pi_i. \]

Then \(\overline\pi\) is stationary for \(\overline Q\), and

\[ \overline Q_{ab}\overline\pi_b = \overline Q_{ba}\overline\pi_a. \]

Thus the coarse chain is reversible.

Proof of Theorem R2.1

Stationarity follows from

\[ \overline Q\overline\pi =\overline QC\pi =CQ\pi=0. \]

For reversibility, use the aggregate rate formula:

\[ \begin{aligned} \overline Q_{ab}\overline\pi_b &=\sum_{j\in B_b}\pi_j\sum_{i\in B_a}Q_{ij}\\ &=\sum_{i\in B_a}\sum_{j\in B_b}\pi_iQ_{ji}\\ &=\overline Q_{ba}\overline\pi_a. \end{aligned} \]

Corollary R2.2: Coarse Dirichlet form

Under the hypotheses of Theorem R2.1, let \(Jg\) be the fine function that is constant with value \(g_a\) on \(B_a\). Then

\[ -{\left\langle Jg,Q^TJg\right\rangle}_{L^2(\pi)} = -{\left\langle g,\overline Q^Tg\right\rangle}_{L^2(\overline\pi)}. \]

Proof of Corollary R2.2

Expand the left side and group the fine indices by their coarse blocks. The aggregate rate criterion converts the resulting sums into the coarse generator entries.

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