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    GAUSS ELIMINATION AND

    GAUSS-JORDAN ELIMINATION

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    An m n Matrix

    If m and n are positive integers, then an

    m nmatrix

    is arectangular array in which each entryaij of the matrix is a

    number. The matrix has mrows and ncolumns.

    nmmmm

    n

    n

    n

    aaaa

    aaaa

    aaaa

    aaaa

    ,3,2,1,

    ,33,32,31,3

    ,23,22,21,2

    ,13,12,11,1

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    Terminology

    A real matrix is a matrix all of whose entries arereal numbers.

    i (j) is called the row (column) subscript.

    An mn matrix is said to be ofsize (ordimension)

    mn.

    Ifm=n the matrix is square oforder n.

    Ifm=n , then the ai,is are the diagonal entries

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    Augmented Matrix for a System of Equations

    Given a system of equations we can talk about itscoefficient matrix and its augmented matrix.

    To solve the system we can now use row operations

    instead of equation operations to put the augmented

    matrix in row echelon form.

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    Row-Echelon Form

    A matrix is in row-echelon form if:

    The lower left quadrant of the matrix has all zero entries.

    In each row that is not all zeros the first entry is a 1.

    The diagonal elements of the coefficient matrix are all 1

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    Gauss Elimination

    The operations in the Gauss elimination are calledelementary operations.

    Elementary operations for rows are:

    Interchange of two rows.

    Multiplication of a row by a nonzero constant.

    Addition of a constant multiple of one row to another

    row.

    Two matrices are said to be row equivalent if one

    matrix can be obtained from the other using

    elementary row operations

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    Gauss Elimination for Solving A

    System of Equations

    1. Write the augmented matrix of the system.

    2. Use elementary row operations to construct a row

    equivalent matrix in row-echelon form.

    3. Write the system of equations corresponding to the

    matrix in row-echelon form.

    4. Use back-substitution to find the solutions to this

    system.

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    Example 1: Gauss Elimination

    Augmented matrix: For Gauss Elimination, the Augmented Matrix (A) is

    used so that both A and b can be manipulated together.

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    Example 1: Gauss Elimination

    31835

    7753

    36542

    31835

    7753

    36542

    zyx

    zyx

    zyx

    Step 1: Eliminate x from the 2nd and 3rd equation.

    1215.2013

    615.14

    36542

    1215.20130

    615.1410

    36542

    zy

    zy

    zyx

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    Example 1: Gauss Elimination

    67216800

    615.1410

    36542

    672168

    615.14

    36542

    z

    zy

    zyx

    4100

    615.1410

    185.221

    Step 2: Eliminate y from the 3rd equation.

    13R2+R3 R3

    Step 3:

    0.5R1 R1

    -R2 R2

    (1/168)R3 R3

    4

    615.14

    185.22

    z

    zy

    zyx

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    Example 1: Gauss Elimination

    From Row 3, z = 4

    From Row 2, y -14.5z = -61 or, y - 14.5 (4) = 61 or, y = - 3

    From Row 1, x 2y + 2.5z = 18 or, x 2 (- 3) + 2.55 (4) = 18

    or, x = 2

    4100

    615.1410

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    4

    615.14

    185.22

    z

    zy

    zyx

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    Example 2: Gauss Elimination

    Let us consider another set of linearly independent equations.

    The augmented matrix for this set is:

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    Example 2: Gauss Elimination

    From Row 3, therefore, z = ?

    From Row 2, ? From Row 1, ?

    Step 2: Eliminate y from the 3rd equation.

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    Example 3: Gauss Elimination

    When would yo u interchange two equat ions (rows )?

    Let us consider the following set of equations.

    The corresponding augmented matrix is:

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    Example 3: Gauss Elimination

    The solution is: x = - 3, y = 4, z = 2

    Eqn. (1) (Row 1) cannot be used to eliminate x from Eqns. (2)

    and (3) (Rows 2 and 3).

    Interchange Row 1 with Row 2. The augmented matrix

    becomes:

    Now follow the steps mentioned earlier to solve for the

    unknowns.

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    Example 4: Gauss Elimination

    Problem:

    A garden supply centre buys flower seed in bulk then mixes and packages

    the seeds for home garden use. The supply center provides 3 different

    mixes of flower seeds: Wild Thing, Mommy Dearest and Medicine

    Chest.

    1) One kilogram ofWild Thingseed mix contains 500 grams of wild flowerseed, 250 grams of Echinacea seed and 250 grams of Chrysanthemum

    seed.

    2) Mommy Dearestmix is a product that is commonly purchased through

    the gift store and consists of 75% Chrysanthemum seed and 25% wild

    flower seed.

    3) The Medicine Chestmix has gained a lot of attention lately, with theinterest in medicinal plants, and contains only Echinacea seed, but the mix

    must include some vermiculite (10% by weight of the total mixture) for ease

    of planting.

    To be continued

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    Example 4: Gauss Elimination

    Contd

    In a single order, the store received 17 grams of wild flower seed, 15

    grams of Echinacea seed and 21 grams of Chrysanthemum seed.

    Assume that the garden center has an ample supply of vermiculite onhand.

    Use matrices and complete Gauss-Jordan Elimination to determine

    how much of each mixture the store can prepare.

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    Example 4: Gauss Elimination

    Solution:

    Assign variables to the

    amount of each mix that will

    be produced.

    Perform a balance on each

    of the components that are

    available.

    Let X = Amount ofWild Thing

    Let Y = Amount ofMommy Dearest

    Let Z = Amount ofMedicine Chest

    Wild flower 0.5X + 0.25Y + 0Z = 17g

    Echinacea 0.25X + 0Y + 0.9Z = 15gChrysanthemum 0.25X + 0.75Y + 0Z = 21g

    In matrix form, this can be written as bAx

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    Example 4: Gauss Elimination

    Before the matrices are populated, it is (sometimes) helpful to re-

    arrange the equations to reduce the number of steps in the GaussElimination. To do this (if there seems like an easy solution), attempt

    to move zeros to the bottom left, and try to maintain the first row with

    non-zeros except for the last entry, since row 1 is used to reduce

    other rows.

    By moving the last column (Z) to the front, and switching the first and

    second row, the new set of equations becomes:

    Echinacea 0.9Z + 0.25X + 0Y = 15gWild flower 0Z + 0.5X + 0.25Y = 17g

    Chrysanthemum 0Z + 0.25X + 0.75Y = 21g

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    Example 4: Gauss Elimination

    Apply the Gauss

    Elimination:

    Z = 10, X = 24, and Y = 20

    214

    3

    4

    10

    174

    1

    2

    1

    0

    1504

    1

    10

    9

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    Gauss-Jordan Elimination

    In Gauss-Jordan elimination, we continue the reduction of

    the augmented matrix until we get a row equivalent matrix

    in reduced row-echelon form. (r-e form where every

    column with a leading 1 has rest zeros)

    cb

    a

    100010

    001

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    Gauss-Jordan Elimination

    31835

    7753

    36542

    zyx

    zyx

    zyx

    Let us consider the set of linearly independent equations.

    Augmented matrix for the set is:

    31835

    7753

    36542

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    Gauss-Jordan Elimination

    31835

    7753

    36542

    31835

    7753

    36542

    zyx

    zyx

    zyx

    Step 1: Eliminate x from the 2nd and 3rd equation.

    1215.2013

    615.14

    36542

    1215.20130

    615.1410

    36542

    zy

    zy

    zyx

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    Gauss-Jordan Elimination

    67216800

    615.1410

    36542

    672168

    615.14

    36542

    z

    zy

    zyx

    4100

    615.1410

    185.221

    Step 2: Eliminate y from the 3rd equation.

    13R2+R3 R3

    Step 3:

    0.5R1 R1

    -R2 R2

    (1/168)R3 R3

    4

    615.14

    185.22

    z

    zy

    zyx

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    Gauss-Jordan Elimination

    )2()5.14()3( RowRow

    4100

    615.1410

    185.221

    4

    615.14

    185.22

    z

    zy

    zyx

    Step 4: Eliminate z from the 2nd

    equation

    4100

    3010185.221

    4

    3185.22

    z

    yzyx

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    Gauss-Jordan Elimination

    1)1()2()2( RowNewRowRow

    4100

    3010

    185.221

    4

    3

    185.22

    z

    y

    zyx

    Step 5-1: Eliminate y from the 1st equation

    4100

    3010125.201

    4

    3125.2

    z

    yzx

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