## Distribution Vector

A vector with non-negative components (representing specific probabilities) which add up to one e.g. \begin{equation} (P(x_{0}), P(x_{1}),…,P(x_{n})) \end{equation} Also known as: Stochastic Vector

A vector with non-negative components (representing specific probabilities) which add up to one e.g. \begin{equation} (P(x_{0}), P(x_{1}),…,P(x_{n})) \end{equation} Also known as: Stochastic Vector

\begin{equation} x \in U:P(x) = \frac{1}{|U|} \end{equation} Where \(|U|\) is the size of the universe (set). In Probability Theory, a uniform distribution assigns an equal probability to each element of a given set.

x0: P(x) = 1,∀ x ≠ x0: P(x) = 0 In Probability Theory, a point distribution is a distribution which assigns all the probability to a given point (set element).