Ch1_5.doc

Rank of a Matrix

The rank of a matrix is the order of the largest nonzero determinant that can be obtained from the elements of the matrix (for both rectangular and square matrices).

The rank of a matrix is the maximum number of linearly independent rows or columns.

The rank of a matrix remains unchanged if (1) a multiple of one row (column) is added to another row (column); (2) rows (or columns) are interchanged.

A matrix A can be brought into a form in which only entries with the same row and column index can be different form zero (similar to Gaussian elemination). The rank of A is the number of such non-zero entries.

Example 1.5-5 ______

Find the rank of the matrix A where

A =

Solution

13123(row 1*)

(1)(row 1*) + (row 2)01211(row 2*)

(2)(row 1*) + (row 3)03633(row 3*)

(3)(row 1*) + (row 4)01211(row 4*)

13123(row 1)

01211(row 2)

(3)(row 2) + (row 3*)00000(row 3*)

(1)(row 2) + (row 4*)00000(row 4*)

The rank of matrix A is 2.

-A square matrix of order n has a rank less than n if the matrix is singular.

-The value of a determinant is zero if one row is a linear combination of other rows. The rows are linearly dependent.

Conditions for the Solution of Linear Equations

Ax = b

where

A = coefficient matrix =

b = right hand side vector =

The augmented matrix is defined as

[A| b] =

The form of the solution to Ax = b can be determined by investigating the rank of A and [A| b]. For n equation and n unknowns

If rank(A) = n then rank([A| b]) = n

rank(A) = rank([A| b])

If rank([A| b]) > rank(A) then rank([A| b]) = rank(A) + 1

A set of simultaneous equations is called consistent if there is a solution even a trivial solution. A set of simultaneous equations is called inconsistent if there is no solution. Table 1.5-1 summarizes the conditions for solution of n simultaneous equations.

Table 1.5-1 Conditions for Solution of n Simultaneous Equations

Type of Equations / Conditions of Rank / Nature of Solution
Consistent equations / rank(A) = rank([A| b]) = n / Unique solution
rank(A) = rank([A| b]) = r n / Infinite number of solutions with n-r arbitrary constants
Inconsistent equations / rank(A) < rank([A| b]) / No solution
Homogeneous equations
(special case of consistent equations ) / rank(A) = rank([A| b]) = n / Unique solution (the trivial solution)
rank(A) = rank([A| b]) = r n / Infinite number of solutions with n-r arbitrary constants

The five cases for the solution of n simultaneous equations will be presented with numerical examples using two equations.

  1. Unique solution for non-homogeneous equations: rank(A) = rank([A| b]) = n

x1 + 4 x2 = 8

x1 + x2 = 7

A = ,[A| b] =

det (A) =  5  0  rank(A) = rank([A| b]) = 2

x =

Figure 1.5-1 Unique solution of two simultaneous equations

2.Infinite number of solutions with n-r arbitrary constants: rank(A) = rank([A| b]) = r n

3x1 + 2 x2 = 12

 6x1 4 x2 =  24

rank(A) = rank([A| b]) = 1 < 2  infinite solution with 2  1 = 1 arbitrary constant.

x = = = x2+ = x2+

where x2 = arbitrary constant

Figure 1.5-2 Infinite solution with one arbitrary constant

3.Inconsistent equations (No solution): rank(A) < rank([A| b])

x1 3 x2 =  3

x1 3 x2 =  18

A = det(A) = 0 rank(A) = 1

[A| b] = , =  15 rank([A| b]) = 2  no solution

Figure 1.5-3 Two parallel equations with no solution (intersection)

4. Homogeneous equations: rank(A) = rank([A| b]) = n. Unique solution (the trivial solution)

2x1 5 x2 = 0

x1 x2 = 0

rank(A) = rank([A| b]) = 2 x = = 0

Figure 1.5-4 Two homogeneous equations with trivial solution

  1. Homogeneous equations: rank(A) = rank([A| b]) = r n. Infinite number of solutions with n-r arbitrary constants.

x1 2 x2 = 0

 3x1 + 6 x2 = 0

rank(A) = rank([A| b]) = 1  infinite solution with 2  1 = 1 arbitrary constant.

x = = = x2

Figure 1.5-5 Two homogeneous equations with infinite solution

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