Math Problem Statement

Let A be a matrix ([[1,2,3,4,5],[0,0,a,6,7],[0,0,0,b,8]]). Find a and b such that rank = 2

Solution

To ensure that the matrix A=[1234500a67000b8]A = \begin{bmatrix} 1 & 2 & 3 & 4 & 5 \\ 0 & 0 & a & 6 & 7 \\ 0 & 0 & 0 & b & 8 \end{bmatrix} has a rank of 2, we need to ensure that:

  1. There are two linearly independent rows.
  2. The third row must be linearly dependent on the first two rows.

For a matrix to have rank 2, the third row (in this case, [0,0,0,b,8][0, 0, 0, b, 8]) should be a linear combination of the first two rows.

Step 1: Analyze the third row conditions

The elements in the third row that determine linear independence are bb and 88. For the third row to be dependent on the first two rows, we must set b=0b = 0. If b=0b = 0, then the third row is [0,0,0,0,8][0, 0, 0, 0, 8], which is not a pivot row, hence making the matrix rank 2.

Step 2: Setting conditions for aa

The element aa must not introduce a new pivot in the second row that would increase the rank of the matrix. Therefore, we can set a=0a = 0.

Solution

To satisfy the condition that the matrix AA has a rank of 2, set: a=0andb=0a = 0 \quad \text{and} \quad b = 0

The resulting matrix is: A=[123450006700008]A = \begin{bmatrix} 1 & 2 & 3 & 4 & 5 \\ 0 & 0 & 0 & 6 & 7 \\ 0 & 0 & 0 & 0 & 8 \end{bmatrix}

With these values of aa and bb, the matrix has a rank of 2.

Would you like more details on any step, or have any questions?


Here are some related questions to explore:

  1. What would be the rank of the matrix if aa and bb were nonzero?
  2. How do you determine if rows are linearly dependent in a matrix?
  3. What is the general approach for finding the rank of a matrix?
  4. Can the rank of a matrix change if we add a row or column?
  5. How does the rank of a matrix affect solutions to a system of linear equations?

Tip: For matrices with parameters, you can often set specific entries to zero to control linear independence and determine rank.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Matrix Rank
Linear Independence
Row Reduction

Formulas

Rank of a matrix
Conditions for row linear dependence

Theorems

Rank theorem
Linear Dependence Theorem

Suitable Grade Level

Grades 10-12