Matrix

  1. Matrix computing attributes

    AB BA A(BC) = (AB)C A(B+C) = AB+AC (A+B)C = AC+BC (AB) T = BT AT |(AB)| = |A| |B| An = AA...A A0 = I (αA) n = αn An | An | = |A|n In = 1 ... 0 0 0 1... ... 0 ... ... ... ... 0 0 ... 1

  2. Matrix addition

    A±B = a b c d ± x y z u = a±x b±y c±z d±u

  3. Matrix multiplication

    xA = x a b c d = xa xb xc xd = ax bx cx dx = a b c d x = Ax a b x y z u = ax+bz ay+bu a b c d x y z u = ax+bz ay+bu cx+dz cy+du AB = a b c x y z = ax bx cx ay by cy az bz cz BA = x y z a b c = ax+by+cz CB = a b c p q r u v w x y z = ax+by+cz px+qy+rz ux+vy+wz BD = a b c d e f g h i j k l m n o p q r = aj+bm+cp ak+bn+cq al+bo+cr dj+em+fp dk+en+fq dl+eo+fr gj+hm+ip gk+hn+iq gl+ho+ir DB = j k l m n o p q r a b c d e f g h i = ja+kd+lg jb+ke+lh jc+kf+li ma+nd+og mb+ne+oh mc+nf+oi pa+qd+rg pb+qe+rh pc+qf+ri ABBA

  4. Determinant

    A = a b c d = (ad-bc) A = a b c d e f g h i = a e f h i - b d f g i + c d e g h = a(ei-fh) - b(di-fg) + c(dh-eg) = aei+bfg+cdh -ceg-bdi-afh

  5. Transposed matrix

    A = a b c d AT = a c b d a b c d u v T = a c u b d v

  6. Inverse matrix

    A-1 = 1|A| d -b -c a A-1 = a b c d e f g h i -1 = 1|A| A B C D E F G H I T = 1|A| A D G B E H C F I |A| = a(ei-fh) - b(id-fg) + c(dh-eg) A = (ei-fh) B = -(di-fg) C = (dh-eg) D = -(bi-ch) E = (ai-cg) F = -(ah-bg) G = (bf-ce) H = -(af-cd) I = (ae-bd)