Math Problem Statement
If the determinant of X^2-5I2 is 0, prove that X^2=5I2
Solution
We are given the equation:
where is a matrix and is the identity matrix. We need to prove that this implies .
Step-by-step Proof:
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Use of the Determinant Property:
The determinant of a matrix being 0 implies that the matrix itself is singular, i.e., it has no inverse. In this case, it means that: implies that is a singular matrix. -
Eigenvalues and Determinants:
Let’s assume is an eigenvalue of the matrix . For any matrix , its eigenvalues satisfy the equation .Now, since is singular, the eigenvalues of must include 0. That is, for eigenvalues of , we have: or which means the eigenvalues of are .
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Diagonalization:
Since is a matrix and has two distinct eigenvalues (), it can be diagonalized. That is, there exists an invertible matrix and a diagonal matrix such that: where . -
Square of :
Squaring both sides of : Since , we have:
Thus, we have shown that .
Conclusion:
The fact that implies that the eigenvalues of are , and hence , as required.
Do you want further details on any of the steps, or would you like more examples?
Here are five related questions you might consider:
- How do eigenvalues affect the determinant of a matrix?
- Can you prove a similar result for a matrix?
- How does diagonalization help in simplifying matrix problems?
- Can the proof work without assuming diagonalizability of ?
- What would happen if had repeated eigenvalues?
Tip: Always check if a matrix is diagonalizable when solving matrix equations. Diagonalization simplifies the process significantly!
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Matrix Determinants
Eigenvalues
Diagonalization
Formulas
det(X^2 - 5I_2) = 0
Eigenvalue equation: det(X - λI) = 0
λ^2 = 5
X = PDP^{-1}
X^2 = P D^2 P^{-1} = 5I_2
Theorems
Determinant Theorem
Eigenvalue Theorem
Diagonalization Theorem
Suitable Grade Level
Undergraduate Level (Linear Algebra)