Algebraic Structures | Solving the Matrix Commutator MX = XM | if P , Q ∈ B, then P*Q ∈ B?

Algebraic Structures | Question-3

Algebraic Structures | Question-3

Problem Statement:

Let \( A \) be the set of \( 2 \times 2 \) matrices with real number entries.

Given:

\[M = \begin{pmatrix} 1 & 1 \\ 0 & 1 \end{pmatrix}\]

\[B = \{ X \in A \mid MX = XM \}\]

Prove that if \( P, Q \in B \), then \( P \cdot Q \in B \).

Solution

1

Recall the definition of set \( B \):

The set \( B \) contains all \( 2 \times 2 \) matrices \( X \) that commute with matrix \( M \).

Definition of \( B \):

\[ B = \{ X \in A \mid MX = XM \} \]

This means for any \( X \in B \), the matrix equation \( MX = XM \) holds true.

2

Assume \( P \) and \( Q \) are elements of \( B \):

Given that \( P, Q \in B \), by definition we have:

Commutativity Conditions:

\[ MP = PM \quad \text{and} \quad MQ = QM \]

These are the defining properties of matrices in set \( B \).

3

Compute \( M(PQ) \) using matrix properties:

Associativity of Matrix Multiplication:

Using the associative property of matrix multiplication:

\[ M(PQ) = (MP)Q \]

4

Apply the commutativity condition for \( P \):

Substitute Commuting Relation for \( P \):

Since \( P \in B \), we know \( MP = PM \):

\[ M(PQ) = (MP)Q = (PM)Q \]

5

Apply associativity again:

Regroup Using Associativity:

Using the associative property of matrix multiplication again:

\[ (PM)Q = P(MQ) \]

6

Apply the commutativity condition for \( Q \):

Substitute Commuting Relation for \( Q \):

Since \( Q \in B \), we know \( MQ = QM \):

\[ P(MQ) = P(QM) \]

7

Apply associativity for the final step:

Final Associative Step:

Using the associative property once more:

\[ P(QM) = (PQ)M \]

Complete Chain of Equalities:

\[ M(PQ) = (MP)Q = (PM)Q = P(MQ) = P(QM) = (PQ)M \]

8

Conclude that \( PQ \in B \):

Satisfying the Definition:

Since \( M(PQ) = (PQ)M \), the matrix product \( PQ \) satisfies the defining condition for membership in \( B \).

Therefore, by definition of \( B \), we have:

\[ PQ \in B \]

Conclusion

Final Answer:PROVED

Proof Summary:

  1. Given \( P, Q \in B \), we have \( MP = PM \) and \( MQ = QM \)
  2. Using associativity: \( M(PQ) = (MP)Q \)
  3. Substituting \( MP = PM \): \( (MP)Q = (PM)Q \)
  4. Using associativity: \( (PM)Q = P(MQ) \)
  5. Substituting \( MQ = QM \): \( P(MQ) = P(QM) \)
  6. Using associativity: \( P(QM) = (PQ)M \)
  7. Thus: \( M(PQ) = (PQ)M \)
  8. Therefore: \( PQ \in B \)

Mathematical Significance: This proof shows that set \( B \) is closed under matrix multiplication, which means \( B \) forms a subalgebra of the algebra of \( 2 \times 2 \) matrices. Combined with closure under addition (from Question 2), this suggests \( B \) has a rich algebraic structure.

Alternative Approach: From Question 1, we know matrices in \( B \) have the form \( \begin{pmatrix} a & b \\ 0 & a \end{pmatrix} \). The product of two such matrices is:

\[ \begin{pmatrix} a & b \\ 0 & a \end{pmatrix} \begin{pmatrix} c & d \\ 0 & c \end{pmatrix} = \begin{pmatrix} ac & ad + bc \\ 0 & ac \end{pmatrix} \]

which also has the required form \( \begin{pmatrix} ac & ad+bc \\ 0 & ac \end{pmatrix} \), confirming \( PQ \in B \).

Verification: ✅ We have successfully proven that if \( P, Q \in B \), then \( P \cdot Q \in B \).

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