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                   In two dimensional space there is a simple formula for the 
                    area of a parallelogram bounded by vectors v and 
                    w with v = (a, b) and w = (c, d): namely 
                     ad 
                    - bc  
                    Why? 
                    1. The statement that the area of a parallelogram with 
                    sides given by the vectors (a, b) and (c, d) is |ad - bc| 
                    is obviously true if b and c are 0, since the parallelogram 
                    is then a rectangle with sides |a| and |d|, whose area is 
                    |ad|. 
                    2. Neither the area nor ad - bc changes 
                    if we add a multiple of (a, b) to (c, d) or vice versa. 
                    The parallelogram merely tilts, its base and altitude remain 
                    the same. If we for example, add a to c, we get a change in 
                    ad - bc of -ba; but adding b to d produces a compensating 
                    change of ab to it, and the net effect is 0. 
                    3. By repeatedly adding such multiples we can force b and 
                    c to be 0, after which the statement holds. 
                    4. Since these addings didn't change anything, it must have 
                    been true at the beginning. 
                    The combination ad - bc is called the determinant 
                    of the matrix: 
                    
                  Given three vectors in three dimensions we can 
                    form a 3 by 3 matrix of their components, and the absolute 
                    value of the determinant of that matrix will be the volume 
                    of the parallelepiped whose edges are determined by the three 
                    vectors. In fact an analogous results holds for k k-vectors 
                     and determinants and the k-volume of the figure they bound. 
                    What then is the determinant of a matrix? 
                    In any dimension, it is defined 
                    as follows: 
                    1. it is linear in the elements of any row (or column)  so 
                    that multiplying everything in that row by z multiplies the 
                    determinant by z, and the determinant with row v + 
                    w  is the sum of the determinants otherwise identical 
                    with that row being v and that row being w. 
                    2. It changes sign if two of its rows are interchanged (it 
                    must therefore be 0 if two rows are identical). 
                    3. The matrix with 1’s on the diagonal and 0’s elsewhere has 
                    determinant 1. 
                  The determinant is generally written as det M or as | M | 
                    or sometimes || M ||. 
                    If v and w are two rows of the matrix M we can 
                    deduce from the first two conditions that adding a multiple 
                    of v to w does not change the determinant of 
                    M. 
                    The volume of a parallelepiped bounded by edges whose 
                    directions and lengths are that of u, v and w 
                    is almost linear in u, v and w; it differs from 
                    linearity only in that it is always positive, like length 
                    in one dimension is. It is 1 if the vectors have unit length 
                    and are mutually perpendicular, and does not change if one 
                    side is added to another; The absolute value of the determinant 
                    of the matrix formed by the components of the three vectors 
                    obeys the same conditions and is therefore the same thing. 
                    In higher dimensions the analog of volume 
                    is called hypervolume and the same conclusion can be drawn 
                    by the same argument: The hypervolume of the parallel sided 
                    region determined by k vectors in k dimensions is the absolute 
                    value of the determinant whose entries are their components 
                    in the directions of the (orthonormal) basis vectors. 
                    In fact, the determinant can be considered 
                    a linear and signed version of hypervolume.  
                    Consider the hypervolume of a parallel-sided region with sides 
                    xA,B,C,... as a function of x. It is linear in x for positive 
                    or negative x, but it is always positive, and its graph looks 
                    like a V, taking the value 0 for x = 0. 
                    The determinant is the same as the hypervolume for positive 
                    or negative x and minus the hypervolume for the other, and 
                    is therefore linear as a function of x. 
                    
                   
                  
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