Polya's recursion theorem says that a simple random walk on $\mathbb{Z}$ is recurrent. In the proofs that I have seen, one considers the steps to be of lengths $+1$ and $-1$. My question is the following: Is this also true changing the generating set of $\mathbb{Z}$?
For example, the set $\{6,10,15\}$ generates $\mathbb{Z}$ and no subset of it does. Consider the random walk that takes steps of length $6$, $-6$, $10$, $-10$, $15$, $-15$ uniformly. Is this random walk recurrent?
A common approach to the recurrence/transience of random walks on lattices uses discrete Fourier transform. More specifically, one first notes that, for every integer valued random variable $S_n$, $$2\pi P(S_n=0)=\int_{-\pi}^\pi E(e^{itS_n})dt$$ and that, when $(S_n)$ is a random walk starting from $0$ with steps distributed as $X$, $$E(e^{itS_n})=\left(E(e^{itX})\right)^n$$ These two remarks put together yield the key formula
Now, if $X$ is symmetric with $p_x=P(X=x)$ for every $x$, then $$E(e^{itX})=p_0+2\sum_{x\geqslant1}p_x\cos(tx)$$ hence $$1-E(e^{itX})=2\sum_{x\geqslant1}p_x(1-\cos(tx))$$The convergence of the integral $$\int_{-\pi}^\pi\frac{dt}{1-E(e^{itX})}$$ depends on the behaviour of the function near $0$. When, as here, the support of $X$ is bounded, the expansion up to order $x^2$ is always valid, and yields the equivalent $$1-E(e^{itX})=2\sum_{x\geqslant1}p_x\left(\frac12t^2x^2+o(t^2)\right)\sim vt^2$$ when $t\to0$, with $$v=\sum_{x\geqslant1}p_xx^2=\frac12E(X^2)$$ In particular, the integral diverges at $t=0$, thus the series $$\sum_{n=0}^\infty P(S_n=0)$$ diverges, thus the random series $$\sum_{n=0}^\infty\mathbf 1_{S_n=0}$$ is infinite almost surely (can you prove this step?), that is, the random walk $(S_n)$ is recurrent.