Write the one-dimensional random walk endpoint as xm=∑j=1mξj, starting at the origin. Assume unbiased, independent increments, each with ⟨ξj⟩=0 and ⟨ξj2⟩=Δ. Expanding the square givesIndependence makes each cross expectation ⟨ξi⟩⟨ξj⟩=0. ConsequentlyUncorrelated increments with the same second moments would suffice. Unbiasedness alone does not remove correlations: persistent or anticorrelated steps need not satisfy this result. The symbol Δ is already the mean-square step size, with units of length squared.
⟨xm2⟩=∑j⟨ξj2⟩+2∑i<j⟨ξiξj⟩.
⟨xm⟩=0,⟨xm2⟩=mΔ.
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