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204                                 ALGEBRA

                       3 . Relations between solutions of the nonhomogeneous system (5.5.1.1) and solutions of
                        ◦
                       the corresponding homogeneous system (5.5.1.3).
                       1. The sum of any solution of the nonhomogeneous system (5.5.1.1) and any solution of
                          the corresponding homogeneous system (5.5.1.3) is a solution of system (5.5.1.1).
                       2. The difference of any two solutions of the nonhomogeneous system (5.5.1.1) is a solution
                          of the homogeneous system (5.5.1.3).
                       3. The sum of a particular solution X 0 of the nonhomogeneous system (5.5.1.1) and the
                          general solution (5.5.2.5) of the corresponding homogeneous system (5.5.1.3) yields the
                          general solution X of the nonhomogeneous system (5.5.1.1).

                       5.6. Linear Operators

                       5.6.1. Notion of a Linear Operator. Its Properties

                       5.6.1-1. Definition of a linear operator.
                       An operator A acting from a linear space V of dimension n to a linear space W of dimension
                       m is a mapping A : V→ W that establishes correspondence between each element x of the
                       space V and some element y of the space W. This fact is denoted by y = Ax or y = A(x).
                          An operator A : V→ W is said to be linear if for any elements x 1 and x 2 of the space
                       V and any scalar λ, the following relations hold:

                                     A(x 1 + x 2 )= Ax 1 + Ax 2  (additivity of the operator),
                                     A(λx)= λAx             (homogeneity of the operator).

                          A linear operator A : V→ W is said to be bounded if it has a finite norm,which is
                       defined as follows:
                                                          Ax
                                               A  =sup         =sup  Ax  ≥ 0.
                                                     x V   x      x =1
                                                     x ≠0
                          Remark. If A is a linear operator from a Hilbert space V into itself, then
                                                                  |(x, Ay)|
                                               Ax
                                      A  =sup      =sup  Ax  =sup        =  sup  |(x, Ay)|.
                                           x V   x    x =1     x,y≠0  x  y    x = y =1
                                           x ≠0
                          THEOREM. Any linear operator in a finite-dimensional normed space is bounded.
                          The set of all linear operators A : V→ W is denoted by L(V, W).
                          A linear operator O in L(V, W) is called the zero operator if it maps any element x of
                       V to the zero element of the space W: Ox = 0.
                          A linear operator A in L(V, V) is also called a linear transformation of the space V.
                          A linear operator I in L(V, V) is called the identity operator if it maps each element x
                       of V into itself: Ix = x.


                       5.6.1-2. Basic operations with linear operators.

                       The sum of two linear operators A and B in L(V, W) is a linear operator denoted by A + B
                       and defined by
                                            (A + B)x = Ax + Bx    for any  x   V.
                          The product of a scalar λ and a linear operator A in L(V, W) is a linear operator denoted
                       by λA and defined by
                                               (λA)x = λAx     for any  x   V.
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