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If ''X'' is a [[vector space|vector]]-valued random variable, one takes the argument ''t'' to be a vector and ''tX'' to be a [[dot product]].
A characteristic function exists for any random variable. More than that, there is a bijection between cumulative probability functions and characteristic functions. In other words, two probability
Given a characteristic function φ, it is possible to reconstruct the corresponding cumulative probability distribution function ''F'':
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