Question
Let and be a matrix such that . If and , then is equal to
Options
Solution
Key Concepts and Formulas
- Matrix Inverse Properties: For an invertible matrix , , where is the identity matrix. This is used extensively for simplifying matrix equations.
- Similar Matrices: If a matrix can be expressed as for some invertible matrix , then is similar to . A powerful property of similar matrices is that . This simplifies calculations of powers of .
- Cayley-Hamilton Theorem (for matrices): Every square matrix satisfies its own characteristic equation. For a matrix , its characteristic equation is , which simplifies to . By Cayley-Hamilton, , where is the trace (sum of diagonal elements) and is the determinant of .
Step-by-Step Solution
Step 1: Simplify the relationship between and .
We are given the equation . Our goal is to find a direct relationship between and .
- Given:
- Action: To eliminate from the right side, we multiply both sides by from the left.
- Explanation: Using the associative property of matrix multiplication and the definition of an inverse (), we simplify the equation.
- Action: To isolate , we multiply both sides by from the right.
- Explanation: Again, using associativity and the inverse property (), we get: This fundamental relationship is crucial for subsequent steps.
Step 2: Express matrix in terms of and .
We are given . We want to isolate to work with its powers.
- Given:
- Action: To isolate , we need to remove from its left and from its right. First, multiply both sides by from the left.
- Explanation: Using , the expression simplifies to:
- Action: Next, multiply both sides by from the right.
- Explanation: Using again, we get: This shows that is similar to , which is a key insight for efficiently calculating powers of .
Step 3: Calculate and in terms of .
Using the similar matrix form of and the relationship , we can simplify and .
-
Calculate :
-
Explanation: We regroup terms using associativity, noting that .
-
Action: Now, substitute (from Step 1).
-
Explanation: Using , we get:
-
Calculate : We can calculate as .
-
Action: Substitute .
Step 4: Substitute and into the polynomial equation.
We are given the matrix polynomial equation .
- Given:
- Action: Substitute the simplified expressions and .
- Explanation: This transforms the equation into one involving only matrix and the scalar coefficients . Note that must be multiplied by the identity matrix for dimensional consistency when adding to other matrices, and represents the zero matrix.
Step 5: Use the Cayley-Hamilton Theorem to find and .
We have the matrix . The Cayley-Hamilton theorem states that every matrix satisfies . We will apply this to matrix .
- Calculate Trace of (): The sum of the diagonal elements.
- Calculate Determinant of (): For a matrix , .
- Apply Cayley-Hamilton Theorem for :
- Compare with the derived polynomial equation: We have . Comparing this with , we can directly identify the coefficients:
Step 6: Calculate .
Finally, substitute the values of and into the expression .
- Calculation:
Common Mistakes & Tips
- Order of Matrix Multiplication: Remember that matrix multiplication is not commutative ( in general). The order of multiplication (left vs. right) is critical when manipulating matrix equations.
- Identity Matrix for Scalars: When adding or equating matrix expressions, scalar terms like must always be multiplied by the identity matrix (e.g., ) to maintain dimensional consistency.
- Leverage Similar Matrices: Recognizing simplifies powers of significantly to , avoiding tedious direct calculation of .
- Cayley-Hamilton Theorem: For matrices, this theorem is an incredibly powerful shortcut for finding polynomial relationships (like ) without calculating explicitly and solving a system of linear equations from its elements.
Summary
The problem started by establishing key relationships between matrices , , and . We first simplified to obtain . Then, we expressed in terms of and as , showing that is similar to . This allowed us to efficiently calculate and subsequently . Substituting these into the given polynomial equation yielded . Finally, by applying the Cayley-Hamilton theorem to matrix , we found its characteristic polynomial , from which we directly deduced and . The desired expression was then calculated as .
The final answer is , which corresponds to option (A).