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Definition 1.16 The pivot of a row in matrix is …
the leftmost non-zero entry in that row
Definition 1.18 A matrix is in row echelon form if …
1) All rows consisting only of zeros are at the bottom
2) The pivot of each non-zero row in the matrix is in a column to the right of the pivot of the row above it
Definition 1.19 A matrix is in Reduced row echelon form if …
1) The matrix is in the row echelon form
2) The pivot in each non-zero row is 1
3) Each pivot is the only non-zero entry in its column
Definition 1.26
Let C be the coefficient matrix for a system of linear equation in variables x1, …, xn. If the system of linear equation has at least one solution, we define the following.
We say that xi is a pivot variable for the system if …
We say that xi is a nonpivot variable of the system if …
the i th column of rref(C) has a pivot
the i th column of rref(C) does not have a pivot
Theorem 1.15 Row Equivalence
If two matrices are row equivalent, the the system of linear equation they represent as augmented matrices have the same solution set
Theorem 1.21 (Gauss-Jordan)
Every matrix A is row equivalent to a matrix in row echelon form B.
Furthermore, if B is in reduced row echelon form, then B is unique.
Lemma 1.27 Pivot Parameterization
If a system of linear equation has at least one solution, then the pivot variable of the system can be parameterized in terms of non-pivot variables. That is, if xk1, …, xkr are the non-pivot variables of the system, then for any pivot variable xi, we can find constants aij (include) R so that xpi = ai0 + ai1xk1 +… + airxkr
Theorem 1.30 Rouche Capelli
Suppose that a system of linear equations has augmented matrixA and coefficient matrixC. Then.
The last column of rref(A) has a pivot if and only if the system has no solutions.
The last column of rref(A) does not have a pivot and every column of rref(C) has a pivot if and only if the system has exactly one solution.
The last column of rref(A) does not have a pivot and rref(C) has a column without a pivot if and only of the system has infinitely many solution.