What is the intuition behind coefficient of ergodicity?

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Let $P$ be an $n\times n$ stochastic matrix, then coefficient of ergodicity $\tau(P)$ is defined as follows:

$$\tau(P) = \frac{1}{2}\max_{i,j} \sum_{k=1}^n|P_{ik}-P_{jk}|=1-\min_{i,j} \sum_{k=1}^n \min(P_{ik},P_{jk})$$

Can someone give me an intuitive insight of this coefficient?