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Linear Algebra test 2
material from 4.6
12
Mathematics
Undergraduate 2
10/25/2016

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Term

row space of A 

(A is an mxn matrix)

Definition
the subspace of Rn spanned by the row vectors of A. notated as row(A)
Term

column space of A

(let A be an mxn matrix)

Definition
the subspace of Rm spanned by the column vectors of A. notated as col(A)
Term

row-equivalent matrices have the same row space

(theorem 4.13)

Definition
if an mxn matrix A is row-equivalent to an mxn matrix, then row(A)=row(B)
Term

basis for the row space of a matrix

(theorem 4.14)

Definition
if a matrix A is row-equivalent to a matrix B in row echelon form, then the nonzero row vecetors of B form a basis for row(A)
Term
row and column spaces have equal dimensions
Definition
if A is an mxn matrix, then the row space and column space of A have the same dimension
Term

rank of A:

denoted by rank(A)

Definition
the dimension of the row (or column) space of a matrix
Term

solutions of a homogeneous system

(theorem 4.16)

Definition

if A is an mxn matrix, then the set of all solutions of the homogeneous system of linear equations Ax=0 is a subspace of Rn called the null space of A, denoted by N(A)

N(A)={xE Rn:Ax=0}

Term
nullity of A
Definition
dimension of the nullspace of A
Term

dimension of the solution space 

(theorem 4.17)

Definition

if A is an mxn matrix of rank r, then the dimension of the solution of Ax=0 is n-r. that is 

n=rank(A)+nullity(A)

n=r+nullity(A)

n-r=nullity(A)

Term

solutions of a nonhomogeneous linear system

(theorem 4.18)

Definition
if xp is a fixed (particular) solution of a nonhomogeneous system Ax=b, then every solution of this system can be written of the form x=xp+xwhere xh is a solution of the corresponding homogeneous system Ax=0
Term

solutions of a system of linear equations

(theorem 4.19)

Definition
the system Ax=b is consistent if and only if b is in the column space of A
Term

equivalent conditions

(aka the invertible matrix theorem)

Definition

if A is an invertible matrix, then the following conditions are equivalent

1) A is invertible

2) Ax=b has a unique solution for an nx1 matrix b(spanning)

3) Ax=0 has only the trivial solution (LI)

4) A is row-equivalent to In

5) |A|≠0

6) rank(A)=n

7) the n row vectors of A are linearly independent

8) the n column vectors of A are linearly independent

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