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Linear Equation
An equation that can be written in the form a1x1+a2x2+...+anxn=b, where b and the coefficients a1,...,an are real or complex numbers.
System of linear equations
A collection of one or more linear equations involving the same set of variables, say, x1,...,xn.
leading entry
The leftmost nonzero entry in a row of a matrix.
pivot position
A position in a matrix A that corresponds to a leading entry in an echelon form of A.
basic variable
A variable in a linear system that corresponds to a pivot column in the coefficient matrix.
linear combination
A sum of scalar multiples of vectors. The scalars are called the weights.
Product Ax
The linear combination of the columns of A using the corresponding entries in vector x as weights.
Homogeneous equation
An equation of the form A(vector)x=(vector)0, possibly written as a vector equation or as a system of linear equations.
linearly independent vectors
An indexed set {vector v1,…,vector vp} with the property that the vector equation c1 vector v1+ c2 vector v2 +…+ cp vector vp = vector 0 has only the trivial solution, c1 = … = cp = 0
Linear transformations
A transformation T is linear if:
i) T(vector u + vector v) = T(vector u) + T(vector v) for all vector u, vector v in the domain of T.
ii) T(c vector u) = cT(vector u) for all scalars c and all vector u in the domain of T.
one-to-one
A mapping T: R^n → R^m such that each vector b in R^m is the image of at most one vector x in R^n.
onto
A mapping T: R^n → R^m such that each vector b in R^m is the image of at least one vector x in R^n.
Matrix Product
If A is an mxn matrix and if B is an nxp matrix with columns vector b1,…,vector bp then the product AB is the mxp matrix whose columns are A vector b1,…,A vector bp.
Inverse of an nxn matrix A
An nxn matrix A^-1 such that AA^-1 = A^-1A = In