Orthogonal matrix
Real square matrix whose columns and rows are orthogonal unit vectors
Real square matrix whose columns and rows are orthogonal unit vectors
In linear algebra, an orthogonal matrix or orthonormal matrix Q, is a real-valued square matrix whose columns and rows are orthonormal vectors. One way to express this is Q T Q = Q Q T = I , {\displaystyle Q^{\mathrm {T} }Q=QQ^{\mathrm {T} }=I,} where QT is the transpose of Q and I is the identity matrix. This leads to the equivalent characterization: a matrix Q is orthogonal if its transpose is equal to its inverse: Q T = Q − 1 , {\displaystyle Q^{\mathrm {T} }=Q^{-1},} where Q−1 is the inverse of Q. An orthogonal...
Open boosters, collect cards and trade them. Free to play.
Play for free