Math Problem Statement

Group the statements below into two sets of equivalent statements. That is, given any specific n × n matrix A (where n ≥ 2), all the statements in one group will be true and all the statements in the other group will be false. (Which group is true and which is false depends of course on A). 1. There exists an n×n matrix B such that AB = I = BA. 2. The homogeneous system Ax = 0 has infinitely many solutions. 3. There exist elementary matrices E1, E2, . . . , Ek such that E1E2 · · · EkA = 8I. 4. For every vector b ∈ R n, the linear system Ax = b has a unique solution. 5. There exist distinct vectors u, v ∈ R n such that Au = 0 and Av = 0. 6. The rank of A is less than n. 7. The reduced row echelon form of A is the identity matrix. 8. det(A) = 0 Write each set as numbers separated by commas, in increasing order. Frist group: Second group:

Solution

To group these statements into two sets of equivalent statements, we will analyze each statement and determine whether it describes a situation where the matrix AA is invertible (nonsingular) or not (singular).

Analysis of Each Statement

  1. Statement 1: "There exists an n×nn \times n matrix BB such that AB=I=BAAB = I = BA."
    This is the definition of an invertible matrix. So, if AA is invertible, this statement is true.

  2. Statement 2: "The homogeneous system Ax=0Ax = 0 has infinitely many solutions."
    If AA is singular (not invertible), then the homogeneous system has infinitely many solutions. Thus, this statement is true if AA is not invertible.

  3. Statement 3: "There exist elementary matrices E1,E2,,EkE_1, E_2, \ldots, E_k such that E1E2EkA=8IE_1E_2 \cdots E_kA = 8I."
    For this statement to be true, AA must be invertible because elementary matrices correspond to row operations that, when applied to an invertible AA, yield a nonzero scalar multiple of the identity matrix (here, 8I8I).

  4. Statement 4: "For every vector bRnb \in \mathbb{R}^n, the linear system Ax=bAx = b has a unique solution."
    This is true if and only if AA is invertible, as invertibility ensures a unique solution for every bb.

  5. Statement 5: "There exist distinct vectors u,vRnu, v \in \mathbb{R}^n such that Au=0Au = 0 and Av=0Av = 0."
    If AA is singular, then there exists a nontrivial null space, meaning there are distinct vectors that satisfy Au=0A u = 0. Therefore, this statement is true if AA is not invertible.

  6. Statement 6: "The rank of AA is less than nn."
    If AA is singular, it does not have full rank, so the rank of AA would be less than nn. This statement is true if AA is not invertible.

  7. Statement 7: "The reduced row echelon form of AA is the identity matrix."
    If AA is invertible, then it can be row reduced to the identity matrix. Thus, this statement is true if AA is invertible.

  8. Statement 8: "det(A) = 0"
    A matrix is singular if and only if its determinant is zero. Therefore, this statement is true if AA is not invertible.

Grouping the Statements

Based on this analysis, we can group the statements as follows:

  • Group 1 (Statements true if AA is invertible): 1, 3, 4, 7
  • Group 2 (Statements true if AA is not invertible): 2, 5, 6, 8

Final Answer

  • First group: 1, 3, 4, 7
  • Second group: 2, 5, 6, 8

Would you like further clarification on any part of this grouping?

Here are 5 related questions:

  1. How does the invertibility of a matrix affect the number of solutions to a linear system?
  2. Why is the determinant used as a criterion for matrix invertibility?
  3. Can a matrix with a nonzero determinant ever have a nontrivial null space?
  4. How are elementary matrices related to invertibility and row operations?
  5. What are the implications of a matrix’s rank on the solutions of its associated linear system?

Tip: The determinant of a matrix provides insight into whether the matrix is invertible. If the determinant is zero, the matrix is singular (non-invertible), indicating a lack of unique solutions in its linear systems.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Matrix Invertibility
Determinants
Rank of a Matrix
Systems of Linear Equations

Formulas

Invertibility: AB = I = BA
Homogeneous System Solutions: Ax = 0
Determinant Condition for Invertibility: det(A) ≠ 0

Theorems

Invertible Matrix Theorem
Rank-Nullity Theorem

Suitable Grade Level

College Level - Linear Algebra