In: Math
what are orthogonal vectors
what are orthonormal vectors
what is rank of a matrix
what is nullity of a matrix
what is eigen vector
1. Orthogonal vectors :
Two vectors are said to be orthogonal if they are perpendicular to each other. i.e. the dot product of the two vectors is zero.
2. Orthonormal vectors :
Two orthogonal vectors are said to be orthonormal if they are unit vectors.
3. Rank of a matrix :
A matrix of size m x n is said to be of rank r if the there exists at least one r th order minor which is non-zero and every (r+1) th order minor is zero.
4.Nullity of a matrix :
Let A be a matrix of size m x n then the dimension of the nullspace N(A) is called the nullity of the matrix A
5. Eigen vector :
A scalar λ is called an eigenvalue of the n × n matrix A is there is a nontrivial solution x of Ax = λx. Such an x is called an eigenvector corresponding to the eigenvalue λ.