Section outline

  • If we interpret determinants geometrically, we get some really beautiful formulas.
    ::如果我们对决定因素进行几何解释,我们就会得到一些非常美丽的公式。

    First off, given a 2x2 matrix  det ( [ a 1 a 2 b 1 b 2 ] )  has the property that that determinant is equal to the area of the parallelogram formed by those two vectors. And similarly, in a three by three case we get that the determinant is the volume of the parallelepiped formed by the three column vectors we see in the matrix.
    ::首先,如果给一个 2x2 矩阵 det ([a1a2b1b2]) , 则该决定因素的属性等于这两个矢量构成的平行图面积。 同样, 在三三三的情况下, 我们得到的决定因素是 由三列矢量构成的平行气管的体积 。

    Let's look at an example of this:
    ::举个例子:

    A = [ x 1 0 0 x 2 ]
    ::A=[x100x2]

    and the the columns of this form the vectors  [ x 1 0 ] , [ 0 x 2 ]  and looking at this as a rectangle gives us 
    ::以此形状的列为矢量 [x10] , [0x2] , 并将它作为矩形来看待 。

    and the area equals  x 1 x 2  which equals the determinant of A.
    ::区域等于x1x2,等于A的决定因素。

    Now, let's try and get a new matrix  A = [ x 1 x 3 x 2 x 4 ]  and the determinant becomes  x 1 x 4 x 2 x 3  which is the area inside the  parallelogram 
    ::现在,让我们尝试获得一个新的矩阵 A = [x1x3x2x4] , 决定因素变成 x1x4 - x2x3, 这是平行图中的区域

    To prove that the determinant equals the area, we have to find the area of the parallelogram.
    ::为了证明决定因素与区域相等,我们必须找到平行图的区域。

    What is actually interesting is that any matrix can be transformed into a diagonal matrix.
    ::真正有趣的是,任何矩阵都可以转换成对角矩阵。

    We know from geometry that given a matrix with columns of vectors  v 1 = [ x 1 x 2 ] , v 2 = [ x 3 x 4 ] and we know that the area of a parallelogram formed by the vectors of  v 1 , v 2  has the same area, given a scalar c, as the parallelogram formed by the vectors  v 1 , v 2 + c v 1  so hence we can shift the vectors to make it into a diagonal matrix and write the vector as the product of the lengths of the vectors.
    ::我们从几何学中得知,给定了一个矢量为 v1[x1x2],v2[x3x4]的矩阵,我们知道,由 v1,v2的矢量构成的平行图区域与由矢量v1,v2cv1组成的平行图区域具有相同的区域,与由矢量v1,v2cv1组成的平行图区域相同,因此我们可以将矢量转换成对等矩阵,并将矢量写成矢量长度的产物。

    Let's look at some more examples,
    ::让我们再举几个例子,

    A = [ 1 2 3 5 ]
    ::A=[1-235]

    This gives us the vectors
    ::这给了我们矢量

    lesson content

     

    The area of this is 11 which is also equal to the determinant of the matrix A. 
    ::这方面有11个领域,也相当于矩阵A的决定因素。

    If we want to generalize this to higher dimensions, we get that the determinant of an n dimensional matrix is essentially the space (area in 2d, volume in 3d, whatever in 4d ) between all of the column vectors.
    This looks like the volume of a parallelipiped in 3 dimensions.
    Try some of these problems to gauge volume of a paralleliped
    Graph the parallelipied formed by the column vectors of
    [ 1 2 5 ] [ 4 2 7 ] [ 3 1 16 ]  
    and then calculate the volume.
    To do this, we take the matrix: 
    A = [ 1 4 3 2 2 1 5 7 16 ] det ( A ) = det ( [ 1 4 3 2 2 1 5 7 16 ] ) = 1 ( 2 16 1 7 ) 4 ( 2 16 1 5 ) + 3 ( 2 7 ( 5 ) ( 2 ) ) = 175  
    On your own, try to graph this image.