Vector space Interpretation of Random Variables                                                                        Print this page
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It is easy to verify that the set of all random variables defined on a probability space forms a vector space with respect to addition and scalar multiplication. Similarly the set of all n - dimensional random vectors forms a vector space.

   Linear Independence

           Consider n random vectors .

           f implies that
           then are called linearly independent.

           For random vectors if implies that then are linearly independent.

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