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def: matrix
an mxn matrix A is a rectangular array of elements of F with m rows and n columns
def: matrix of a linear map
let T be a linear map from V to W and v1,…,vn is a basis of V and w1,…,wm is a basis of W. the matrix of T is the mxn matrix with entries defined by Tvk=A1,kw1+…+Am,kwm
def: matrix addition
the sum of two matrices of the same size is the matrix obtained by adding corresponding entries of both matrices
thm: matrix of the sum of linear maps
let S and T be linear maps from V to W then M(S+T)=M(S)+M(T)
def: scalar multiplication of a matrix
the product of a scalar and a matrix is the matrix obtained by multiplying each entry by the scalar
thm: the matrix of a scalar times a linear map
let a be a scalar and T be a linear map from V to W then M(aT)=aM(T)
thm: dimFm,n=mn
with addition and scalar multiplication defined as above, Fm,n is a vector space of dimension mn
def: matrix multiplication
let A be an mxn matric and B an nxp matrix then AB is the mxp matrix whose entry in row j column k is computed by multiplying corresponding entries of row j of A and column k of B and then summing them
thm: matrix of product of linear maps
if T is a linear map from U to V and S is a linear map from V to W then M(ST)=M(S)M(T)
notation: Aj,.
the 1xn matrix of row j of A
notation: A.,k
the mx1 matrix of column k of A
thm: entry of matrix product equals row times column
A is an mxn matrix and B is an nxp matrix then the entry in row j column k of AB is row j of A multiplied by column k of B
thm: column of matrix product equals matrix times column
A is an mxn matrix and B is an nxp matrix then column k of AB equals A times column k of B
thm: linear combination of columns
Suppose A is an mxn matrix and b is an nx1 matrix then Ab is a linear combination of the columns of A with the scalars from b
thm: matrix multiplication as linear combination of columns
C is an mxc matrix and R is a cxn matrix then column k of CR is a linear combination of the columns of C with coefficients from column k of R
thm: matrix multiplication as linear combination of rows
C is an mxc matrix and R is a cxn matrix then row j of CR is a linear combination of the rows of R with coefficients from row j of C
def: column rank
dimension of the span of the columns of A
def: row rank
dimension of the span of the rows of A
def: transpose
let A be an mxn matrix then At is the nxm matrix made by interchanging the rows and columns of A
thm: column-row factorization
A is an mxn matrix with column rank c greater/equal to 1 then there is an mxc matrix C and cxn matrix R such that A=CR
thm: column rank equals row rank
Suppose A is an mxn matrix then column rank of A is equal to the row rank
def: rank
rank of an mxn matrix is the column rank of that matrix