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ThmDex – An index of mathematical definitions, results, and conjectures.
Sample average of I.I.D. integrable random real numbers converges to expectation almost surely
Formulation 0
Let X1,X2,X3,Random(R) each be a D3161: Random real number such that
(i) X1,X2,X3, is an D3358: I.I.D. random collection
(ii) E|X1|<
Then lim
Formulation 1
Let X_1, X_2, X_3, \ldots \in \text{Random}(\mathbb{R}) each be a D3161: Random real number such that
(i) X_1, X_2, X_3, \ldots is an D3358: I.I.D. random collection
(ii) \begin{equation} \mathbb{E} |X_1| < \infty \end{equation}
Then \begin{equation} \mathbb{P} \left( \lim_{N \to \infty} \frac{1}{N} \sum_{n = 1}^N X_n = \mathbb{E} X_1 \right) = 1 \end{equation}
Subresults
R5393: I.I.D. real empirical distribution measure converges to a probability for a fixed Borel set
Proofs
Proof 0
Let X_1, X_2, X_3, \ldots \in \text{Random}(\mathbb{R}) each be a D3161: Random real number such that
(i) X_1, X_2, X_3, \ldots is an D3358: I.I.D. random collection
(ii) \begin{equation} \mathbb{E} |X_1| < \infty \end{equation}
This result is a particular case of R2368: I.I.D. real strong law of large numbers with the identity index sequence. \square