True. If the Markov chain with transition matrix is irreducible, then for every pair of states there is a path
with at every step. The support assumption gives for every edge of the same path. Thus every state can reach every other state under , so the second chain is also an irreducible Markov chain.
True. For a state , let
be its possible return times under , and define similarly. Every positive -path is a positive -path, so
The greatest common divisor of the larger set divides that of the smaller set. Since the latter is one by the assumed aperiodic Markov chain property, the former is also one. Hence every state is aperiodic under .
False. On the two-state space, take
Every positive entry of remains positive in . Under , both singleton states are closed communicating classes, so neither state is a transient state. Under , however, state one eventually moves to the absorbing state two and can never return after doing so. State one is therefore transient.
False. Again use two states, but now take
The support condition holds. Under , the first return time to state one is identically one, so . Under , the chain is irreducible with stationary distribution . The mean recurrence time formula gives
Thus enlarging transition support does not imply a smaller mean return time.

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