Reduce the matrix \( \left(\begin{array}{lll}1 & 5 & 7 \\ 0 & 4 & 3 \\ 0 & 0 & 1\end{array}\right) \) to Jordan Canonical form
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The Deep Dive
To reduce the matrix \( A = \left(\begin{array}{ccc}1 & 5 & 7 \\ 0 & 4 & 3 \\ 0 & 0 & 1\end{array}\right) \) to Jordan Canonical Form (JCF), we first need to find the eigenvalues and their respective geometric and algebraic multiplicities. 1. **Eigenvalue Calculation:** We can find the eigenvalues by determining the characteristic polynomial, which is given by: \[ \det(A - \lambda I) = 0 \] where \( I \) is the identity matrix. This leads to: \[ \det \left(\begin{array}{ccc} 1 - \lambda & 5 & 7 \\ 0 & 4 - \lambda & 3 \\ 0 & 0 & 1 - \lambda \end{array}\right) = (1 - \lambda)(4 - \lambda)(1 - \lambda) \] The characteristic polynomial is: \[ (1 - \lambda)^2 (4 - \lambda) = 0 \] Thus, the eigenvalues are \( \lambda_1 = 1 \) (with algebraic multiplicity 2) and \( \lambda_2 = 4 \) (with algebraic multiplicity 1). 2. **Geometric Multiplicity:** To determine the geometric multiplicity for each eigenvalue: For \( \lambda_1 = 1 \): \[ A - I = \left(\begin{array}{ccc} 0 & 5 & 7 \\ 0 & 3 & 3 \\ 0 & 0 & 0 \end{array}\right) \] The rank of this matrix is 2, thus the nullity (the geometric multiplicity) is \( 3 - 2 = 1 \). For \( \lambda_2 = 4 \): \[ A - 4I = \left(\begin{array}{ccc} -3 & 5 & 7 \\ 0 & 0 & 3 \\ 0 & 0 & -3 \end{array}\right) \] The rank is again 2, so the nullity (the geometric multiplicity) is \( 3 - 2 = 1 \). 3. **Constructing the Jordan Form:** Since the algebraic multiplicity of \( \lambda_1 = 1 \) is 2 and the geometric multiplicity is 1, there will be one Jordan block of size 2 for eigenvalue 1. For \( \lambda_2 = 4 \), since both its algebraic and geometric multiplicities are 1, it will correspond to a 1x1 Jordan block. Therefore, the Jordan Canonical form \( J \) is: \[ J = \begin{pmatrix} 1 & 1 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 4 \end{pmatrix} \] In summary, the Jordan Canonical Form of the matrix \( \left(\begin{array}{lll}1 & 5 & 7 \\ 0 & 4 & 3 \\ 0 & 0 & 1\end{array}\right) \) is given by: \[ J = \begin{pmatrix} 1 & 1 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 4 \end{pmatrix} \]