1.2 Gaussian Elimination Flashcards
numerical analysis
development and analysis of methods to approximate the solutions of mathematical problems
reduced row echelon form
a matrix is in reduced row echelon form if and only if it is in row echelon form, all its pivots are equal to 1 and the pivots are the only non-zero entries of the basic columns
leading 1
the first non-zero entry in a row of a matrix that is in reduced row-echelon form
row echelon form
the matrix in echelon form can contain any values as its non-zero entries,
leading variables
a variable that corresponds to a column in a reduced row-echelon form (RREF) matrix that contains a leading one
free variables
a variable that has no limitations or restrictions
elimination procedure
a systematic way to solve linear equations by removing one variable at a time
Gauss–Jordan elimination
creating an augmented matrix of both sides of our equations, changing this matrix into reduced row echelon form, and then finishing up the problem to find our solution.
forward phase
Reducing a matrix to echelon form
backward phase
reducing a matrix to a reduced echelon form
homogeneous
a system where all the constants on the right side of the equals sign are zero
trivial solution
a solution to a system of linear equations where all variables are equal to zero
nontrivial solutions
a non-zero solution to a matrix equation
back-substitution
values are substituted back into the equations starting from the last variable and moving towards the first variable to find the solution
pivot positions
a location that corresponds to a leading 1 in the matrix’s reduced echelon form