Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2005/ia/paper-2/9f/solution

The expectation of a complex random quantity is defined through its real and imaginary parts. Both and are bounded, so all expectations below exist. Expand the addition formulae and apply the expectation of a product of independent random variables identity:
Combining real and imaginary parts proves
For the simple symmetric random walk, write , with independent increments satisfying . The usual casino model uses these independent, or conditionally fair, increments. Their characteristic function is , so repeated factorization gives
This is real for real . Equivalently, the distribution of is symmetric, making .
For any integer , Fourier orthogonality gives
The random walk has finite support, so we may interchange its finite expectation with this integral. Therefore
For even , evenness and reflection symmetry about reduce this to
For odd , has odd parity and cannot be zero, so . As a separate combinatorial check, for the return probability is , since exactly positive increments are required.

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