Pólya’s theorem

2 Random walks

2.1 Random walks on the \(d\)-dimensional integer grid

Definition 2.1
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The \(d\)-dimensional integer grid is \(\mathbb {Z}^d\).

A walk on the grid \(\mathbb {Z}^d\) is a function \(\mathfrak {w}\colon \mathbb {N}\to \mathbb {Z}^d\), denoted \(t \mapsto \mathfrak {w}(t)\)). We construct walks from their sequences of steps as follows:

Definition 2.2

A sequence \((u_s)_{s \in \mathbb {N}}\) of steps in \(\mathbb {Z}^d\) determines a walk \(\mathfrak {w}\colon \mathbb {N}\to \mathbb {Z}^d\) by

\begin{align} \label{eq: RW def} \mathfrak {w}(t) = \sum _{0 \le s {\lt} t} u_s . \end{align}

A random walk is constructed from a sequence of random steps.

Definition 2.3
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A sequence \((\xi _s)_{s \in \mathbb {N}}\) of \(\mathbb {Z}^d\)-valued random variables (on some a probability space) determines a random walk \(X= \big(X(t)\big)_{t \in \mathbb {N}}\) by

\[ X(t) = \sum _{0 \le s {\lt} t} \xi _s . \]
Lemma 2.4
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The position \(X(t)\) of a random walk \(X= \big(X(t)\big)_{t \in \mathbb {N}}\) at any time \(t \in \mathbb {N}\) is a \(\mathbb {Z}^d\)-valued random variable.

Proof

We must prove that \(X(t) \colon \Omega \to \mathbb {Z}^d\) is measurable. Since each of the steps \(\xi _s \colon \Omega \to \mathbb {Z}^d\) is measurable by assumption and the position of the random walk is defined in 1 by summing the first \(t\) steps, the measurability follows by induction on \(t\) using the fact that sums of measurable \(\mathbb {Z}^d\)-valued functions are measurable.

Definition 2.5

A random walk \(X= \big(X(t)\big)_{t \in \mathbb {N}}\) on \(\mathbb {Z}^d\) said to be time-homogeneous Markovian if its steps \(\big(X(t+1) - X(t)\big)_{t \in \mathbb {N}}\) are independent and identically distributed.

Definition 2.6

A random walk \(X= \big(X(t)\big)_{t \in \mathbb {N}}\) on \(\mathbb {Z}^d\) is simple if it is time-homogeneous Markovian and its steps are uniformly distributed on nearest neighbors on the grid:

\begin{align*} \mathsf{P}\big[ X(t+1) - X(t) = u \big] = \begin{cases} \frac{1}{2d} & \text{ if } \| u\| = 1 \\ 0 & \text{ otherwise.} \end{cases}\end{align*}