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Elements of Vector Algebra


                Example 3.3.


                                               
                                                2x 1 + x 2 − 5x 3 = −1,
                                                  x 1 + 2x 2 − 4x 3 = 1,
                                               
                                                  x 1 − x 2 − x 3 = −2.                               ,



                 Solution.


                                                                    
                                1 −1 −1 −2             1 −1 −1 −2            (                 )
                                                                              1 −1 −1 −2
                      A/A =    1   2   −4    1    ∼   0  3  −3    3    ∼                     ⇒
                                                                              0    1   −1    1
                                2   1   −5 −1          0   3   −3    3

                 r(A) = 2, r(A) = 2.
                    Thus, the system is compatible. But a number of unknowns n = 3, so the system is undetermined — posseses
                 many solutions. It is clear that the given system is equivalent to the system, which has a trapezium view:

                                                {
                                                   x 1 − x 2 − x 3 = −2,
                                                         x 2 − x 3 = 1.

                 Having left on the left side unknowns x 1 , x 2 we will get a system, which has a triangle view:

                                                {
                                                   x 1 − x 2 = −2 + x 3 ,
                                                         x 2 = 1 + x 3 .

                 Considering unknown x 3 as free and unknowns x 1 , x 2 as basic ones we will get many solutions like that:
                 (2c − 1; c + 1; c), c ∈ R. This solution is called general. Assigning c = 0, we will get a particular
                 solution: (−1; 1; 0).








                      Lecture 4. Elements of Vector Algebra






                     4.1. Rectangular system of coordinates in space




               A rectangular system of coordinates Oxyz in space is defined by means of three one-to-one
               perpendicular axes Ox, Oy, Oz crossing in the same point O, which is called the origin. Axis
               Ox is called as abscissa axis, Oy — ordinate axis, Oz — applicate axis.

                   Let’s assume point M to be an arbitrary point in space (fig. 4.1). Having drawn through
               point M three planes that are parallel to coordinate axes, we will get three points of crossing
               with corresponding axes: M x , M y , M z . Lengths of directed segments OM x , OM y , OM z are
               called rectangular coordinates of point M : x = OM x , y = OM y , z = OM z . So, every y point
               in space can be matched with well-organised unique triple of numbers M y (x, y, z) and vice
               versa.


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