The characteristic function of a real-valued XX is the function φX:R→C\varphi_X:\mathbb R\to\mathbb C defined by

φX(t)=E[eitX].\varphi_X(t)=\mathbb E[e^{itX}].
Remarks

The expectation always exists because ∣eitX∣=1|e^{itX}|=1. The characteristic function determines the of XX. It is related to the when the latter exists near 00.

Examples
  • If X∼N(μ,σ2)X\sim\mathcal N(\mu,\sigma^2), then φX(t)=exp⁡(iμt−12σ2t2)\varphi_X(t)=\exp(i\mu t-\tfrac12\sigma^2t^2).
  • If X∼Bernoulli⁡(p)X\sim\operatorname{Bernoulli}(p), then φX(t)=(1−p)+peit\varphi_X(t)=(1-p)+pe^{it}.