Matriks dan Ruang Vektor : Gaussian Elimination dan Metode Operasi Baris Elementer Tereduksi ( Reduced Row Echelon Form ) dalam Matriks
Metode Operasi Baris Elementer Tereduksi ( Reduced Row Echelon Form )
Properties :
- If a row does not consist entirely of zeros, then the first nonzero number in the row is a 1. We call this a leading 1
- If there are any rows that consist entirely of zeros, then they are grouped together at the bottom of the matrix
- In any two successive rows that do not consist entirely of zeros, the leading 1 in the lower row occurs farther to the right than the leading 1 in the higher row
- Each column that contains a leading 1 has zeros everywhere else in that column
A matrix that has the first three properties is said to be in row echelon form
Example 1
Exercise 1
The procedure for reducing matrix to row echelon form is called Gauss elimination. The procedure for reducing matrix to reduced row echelon form is called Gauss-Jordan elimination. Basically, Gauss-Jordan Elimination is just Gauss Elimination but instead changing all element into reduced row echelon form or MEBT ( Matriks Elementary Baris Tereduksi )--look other post to re-learn about MEBT Form--RRE form.
Read More : Matriks Dan Ruang Vektor : Sistem Persamaan Liniear Dan Representasi Matriks
Read More : Matriks Dan Ruang Vektor : Sistem Persamaan Liniear Dan Representasi Matriks
Exercise 2
Solve the linear system in 1,2, and 3 by Gauss-Jordan elimination
Homogeneous System of Linear Equations
Every homogeneous system of linear equations is consistent (trivial solution). If there are other solution, that's called nontrivial solutions
Use Gauss-Jordan elimination to solve the homogeneous linear system--which has 0 as a result of each equation :
The Zero Theorem
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If a homogeneous linear system has n unknowns, and if the reduced row echelon form of its augmented matrix has r nonzero rows, then the system has n-r free variables
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Exercise 3
Use Gaussian elimination or Gauss-Jordan elimination to solve the homogeneous linear system :
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