Data Science in Theory and Practice. Maria Cristina Mariani

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      Definition 2.13 (Positive definite matrix) A square

matrix
is called positive definite if, for any vector
nonidentically zero, we have

       Example 2.8

      Let

be a 2 by 2 matrix

      To show that

is positive definite, by definition

      Therefore,

is positive definite.

is called positive semidefinite (or nonnegative definite) if, for any vector
, we have

      Definition 2.15 (Negative definite matrix) A square

matrix
is called negative definite if, for any vector
nonidentically zero, we have

       Example 2.9

      Let

be a 2 by 2 matrix

      To show that

is negative definite, by definition

      Therefore,

is negative definite.

      Definition 2.16 (Negative semidefinite matrix) A matrix

is called negative semidefinite if, for any vector
, we have

      We state the following theorem without proof.

      Theorem 2.1

      A 2 by 2 symmetric matrix

      is:

      1 positive definite if and only if and det

      2 negative definite if and only if and det

      3 indefinite if and only if det .

      We begin this section with the definition of

‐algebra.

      Definition 2.17 (σ‐algebra) A

‐algebra
is a collection of sets
of
satisfying the following condition:

      1 .

      2 If then its complement .

      3 If is a countable collection of sets in then their union .

      Definition 2.18 (Measurable functions) A real‐valued function f defined on normal upper Omega is called measurable with respect to a sigma algebra

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