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Elementary Row OperationsRecall that an equation such
as:
7(x-4)=14, may be solved for x
by applying the following operations:
- dividing both sides of the equation by the same value, namely
7, to yield x-4=2,
- then adding the same quantity to both sides, namely 4, to
yield x=6.
The solution is x=6, as can be
verified by substituting it back into the original equation and
finding the identity 14=14.
Similarly, the solution of a
system of equations is any set of values of all of the variables
that satisfies all of the equations simultaneously. For example the
system:
 has the solution:
{x = 7, y = 5, z =
3}. This can be verified by substituting these values
into all three of the equations and producing three
identities.
A system of equations can be solved by
generalizing the two operations described above and observing that
the solution of a system of equations is not changed by:
- dividing an both sides of an equation by a constant, or
- subtracting a multiple of one equation from another equation.
These same operations can be applied to the rows of an
augmented matrix, since each row just represents an equation. They
are then called Elementary Row Operations.
The Elementary Row Operations (E.R.O.'s) are:
- E.R.O.#1: Choose a row of the augmented matrix and
divide (every element of) the row by a constant.
Example:
 The notation means to divide the first row
of the augmented matrix by 2 to produce the new augmented matrix.
- E.R.O.#2: Choose any row of the augmented matrix and
subtract a multiple of any other row from it (element by element).
Example:
 The notation means to take row 2 and
subtract 3 times row 1 from it to produce the new augmented
matrix.
We will apply the E.R.O.'s in a certain sequence (the Gaussian
elimination method, described below) to transform the augmented
matrix into triangular echelon form. In this form the
augmented matrix has 1's on the diagonal, 0's below the diagonal and
any numbers above the diagonal. For example, the augmented
matrix:
 transformed into the triangular echelon form
is:
 This new augmented matrix represents the
system of equations:
 It is solved by back-substitution.
Substituting z = 3 from the third equation into the second
equation gives y = 5, and substituting z = 3 and
y = 5 into the first equation gives x = 7. Thus the
complete solution is:
{x = 7, y = 5, z =
3}.
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