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 is invertible (nonsingular) or not (singular).
Analysis of Each Statement
-
Statement 1: "There exists an matrix such that ."
This is the definition of an invertible matrix. So, if is invertible, this statement is true. -
Statement 2: "The homogeneous system has infinitely many solutions."
If is singular (not invertible), then the homogeneous system has infinitely many solutions. Thus, this statement is true if is not invertible. -
Statement 3: "There exist elementary matrices such that ."
For this statement to be true, must be invertible because elementary matrices correspond to row operations that, when applied to an invertible , yield a nonzero scalar multiple of the identity matrix (here, ). -
Statement 4: "For every vector , the linear system has a unique solution."
This is true if and only if is invertible, as invertibility ensures a unique solution for every . -
Statement 5: "There exist distinct vectors such that and ."
If is singular, then there exists a nontrivial null space, meaning there are distinct vectors that satisfy . Therefore, this statement is true if is not invertible. -
Statement 6: "The rank of is less than ."
If is singular, it does not have full rank, so the rank of would be less than . This statement is true if is not invertible. -
Statement 7: "The reduced row echelon form of is the identity matrix."
If is invertible, then it can be row reduced to the identity matrix. Thus, this statement is true if is invertible. -
Statement 8: "det(A) = 0"
A matrix is singular if and only if its determinant is zero. Therefore, this statement is true if is not invertible.
Grouping the Statements
Based on this analysis, we can group the statements as follows:
- Group 1 (Statements true if is invertible): 1, 3, 4, 7
- Group 2 (Statements true if 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:
- How does the invertibility of a matrix affect the number of solutions to a linear system?
- Why is the determinant used as a criterion for matrix invertibility?
- Can a matrix with a nonzero determinant ever have a nontrivial null space?
- How are elementary matrices related to invertibility and row operations?
- 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
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