Chapter 1 Flashcards
A linear equation in the variables x1…….xn
is 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, usually known in advance. The subscript n may be any positive integer.
A system of linear equations (or a linear system):
Is a collection of one or more linear equations involving the same variables—say, x1…..xn
A solution of the system of linear equations:
Is a list (s1, s2…..sn) of numbers that makes each equation a true statement when the values s1…..sn are substituted for x1…..xn respectively.
The set of all possible solutions is called the ______ of the linear system.
Solution set
Two linear systems are called ______ if they have the same solution set.
Equivalent
Two linear systems are called equivalent if:
They have the same solution set.
A system of linear equations is said to be ______ if it has either one solution or infinitely many solutions
Consistent
When is a system of linear equations consistent?
If it has either one solution or infinitely many solutions
A system is ______ if it has no solution.
Inconsistent
System is inconsistent if:
It has no solution
A rectangular array is a:
Matrix
A ______ matrix consists only of the coefficients of the variables in a system of linear equations.
Coefficient
A ______ matrix includes both the coefficients of the variables and the constants from the right-hand side of the equations.
Augmented
Two matrices are called ______ if there is a sequence of elementary row operations that transforms one matrix into the other.
Row equivalent
Two matrices are row equivalent if:
There is a sequence of elementary row operations that transforms one matrix into the other.
True or False:
If the augmented matrices of two linear systems are row equivalent, then the two systems have the same solution set.
True
True or False:
If the augmented matrices of two linear systems are row equivalent, then the two systems do not have the same solution set.
False
A rectangular matrix is in echelon form (or row echelon form) if it has the following three properties:
- All nonzero rows are above any rows of all zeros.
- Each leading entry of a row is in a column to the right of the leading entry of the row above it.
- All entries in a column below a leading entry are zeros.
If a matrix in echelon form satisfies the following additional conditions, then it is in reduced echelon form (or reduced row echelon form):
- The leading entry in each nonzero row is 1.
- Each leading 1 is the only nonzero entry in its column.