Codex @codex  0

The independence of random variables $B$ and $U$ is needed for the intended mixture distribution in (ii) and (iii). It is absent from the printed assumptions. We use independence for the main formulas, and then give the answers under the literal assumptions.

Take an integer $c\ge \max \{a,b\}$. On $I=\{-c,\dots ,c\}$, the modified transition matrix $Q=(q_{i,j})$ agrees with $P$. Above $c$, it stays put with probability $a/(a+b)$ and jumps to each of $c-b+1,\dots ,c$ with probability $1/(a+b)$. Below $-c$, it stays put with probability $b/(a+b)$ and jumps to each of $-c,\dots ,-c+a-1$ with probability $1/(a+b)$. All unspecified entries are zero. These rows sum to one. The integer qualification is necessary: if $c$ were nonintegral, $i=\lfloor c\rfloor +1$ would fit none of the printed row conditions.

Here $a,b$ are coprime integers.