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5.4. EUCLIDEAN SPACES                         195

                       5.4.2. Complex Euclidean Space (Unitary Space)

                       5.4.2-1. Definition and properties of complex Euclidean space (unitary space).
                       A complex Euclidean space (or unitary space) is a complex linear space V endowed with
                       a scalar product (also called inner product), which is a complex-valued function of two
                       arguments x   V and y   V called their scalar product, denoted by x ⋅ y, satisfying the
                       following conditions (called axioms of the scalar product):
                          1. Commutativity: x ⋅ y = y ⋅ x.
                          2. Distributivity: (x 1 + x 2 ) ⋅ y = x 1 ⋅ y + x 2 ⋅ y.
                          3. Homogeneity: (λx) ⋅ y = λ(x ⋅ y) for any complex λ.
                          4. Positive definiteness: x ⋅ x ≥ 0;and x ⋅ x = 0 if and only if x = 0.
                       Here y ⋅ x is the complex conjugate of a number y ⋅ x.

                                                                         n
                          Example 1. Consider the n-dimensional complex linear space R ∗ whose elements are ordered systems
                       of n complex numbers, x =(x 1, ... , x n). We obtain a unitary space if the scalar product of two elements
                       x =(x 1, ... , x n)and y =(y 1, .. . , y n) is introduced by
                                                     x ⋅ y = x 1 ¯y 1 + ·· · + x n ¯y n,
                       where ¯y j is the complex conjugate of y j.

                          THEOREM. For any two elements x and y of an arbitrary unitary space, the Cauchy–
                       Schwarz inequality holds:
                                                         2
                                                     |x ⋅ y| ≤ (x ⋅ x)(y ⋅ y).
                          THEOREM. Any unitary space becomes a normed space if the norm of its element x is
                       introduced by
                                                              √
                                                         x  =   x ⋅ x.                        (5.4.2.1)
                          COROLLARY. For any two elements x and y of a normed Euclidean space with the norm
                       (5.4.2.1), the triangle inequality (5.4.1.1) holds.
                          The distance between elements x and y of a unitary space is defined by


                                                      d(x, y)=  x – y .                       (5.4.2.2)

                          Two elements x and y of a unitary space are said to be orthogonal if their scalar product
                       is equal to zero, x ⋅ y = 0.



                       5.4.2-2. Orthonormal basis in a finite-dimensional unitary space.

                       Elements x 1 , ... , x m of a unitary space V are linearly independent if and only if their Gram
                       determinant is different from zero, det[x i ⋅ x j ] ≠ 0.
                          One says that elements i 1 , ... , i n of an n-dimensional unitary space V form an or-
                       thonormal basis of that space if these elements are mutually orthogonal and have unit norm,
                       i.e.,
                                                              1 for i = j,
                                                    i i ⋅ i j =
                                                            0 for i ≠ j.
                          Given any n linearly independent elements of a unitary space, one can construct an
                       orthonormal basis of that space using the procedure described in Paragraph 5.4.1-2 (see
                       formulas (5.4.1.3)).
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