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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 Frank Ludvig Spitzer (July 24, 1926 – February 1, 1992) was an Austrian-born American mathematician who made fundamental contributions to probability theory, including the theory of random walks, fluctuation theory, percolation theory, th ...
in 1956. The formula is regarded as "a stepping stone in the theory of sums of independent random variables".


Statement of theorem

Let X_1,X_2,... be
independent and identically distributed random variables In probability theory and statistics, a collection of random variables is independent and identically distributed if each random variable has the same probability distribution as the others and all are mutually independent. This property is usu ...
and define the partial sums S_n=X_1 + X_2 + ... + X_n. Define R_n=\text(0,S_1,S_2,...S_n). Then ::\sum_^\infty \phi_n(\alpha,\beta)t^n = \exp \left \sum_^\infty \frac \left( u_n (\alpha) + v_n(\beta) -1 \right) \right/math> where ::\begin \phi_n(\alpha,\beta) &= \operatorname E(\exp\left i(\alpha R_n + \beta(R_n-S_n)\right\\ u_n(\alpha) &= \operatorname E(\exp \left \alpha S_n^+\right \\ v_n(\beta) &= \operatorname E(\exp \left \beta S_n^-\right \end and ''S''± denotes (, ''S'',  ± ''S'')/2.


Proof

Two proofs are known, due to Spitzer and Wendel.


References

Stochastic processes Probability theorems {{probability-stub