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In probability theory, Spitzer's formula or Spitzer's identity gives the joint distribution of partial sums and maximal partial sums of a collection of random variables. The result was first published by Frank Spitzer in 1956. The formula is regarded as "a stepping stone in the theory of sums of independent random variables".

Statement of theorem

Let X₁, X₂, ... be independent and identically distributed random variables and define the partial sums S_n = X₁ + X₂ + ... + X_n. Define R_n = max(0,S₁,S₂,...,S_n). Then

$\sum _{n=0}^{\mathrm{\infty }}{\varphi }_n(\alpha ,\beta )t^n=\exp \left[\sum _{n=1}^{\mathrm{\infty }}\frac{t^n}{n}(u_n(\alpha )+v_n(\beta )-1)\right]$

where

$\begin{array}{rl}{\varphi }_n(\alpha ,\beta )& =\mathrm{E}(\exp [i(\alpha R_n+\beta (R_n-S_n)])\\ u_n(\alpha )& =\mathrm{E}(\exp \left[i\alpha S_n^{+}\right])\\ v_n(\beta )& =\mathrm{E}(\exp \left[i\beta S_n^{-}\right])\end{array}$

and S^± denotes (|S| ± S)/2.

Proof

Two proofs are known, due to Spitzer and Wendel.

References

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