Concept:
Characteristic equation: If A is any square matrix of order n, we can form the matrix [A – λI], where I is the nth order unit matrix. The determinant of this matrix equated to zero i.e. |A – λI| = 0 is called the characteristic equation of A.
Eigenvalues: The roots of the characteristic equation are called Eigenvalues or latent roots or characteristic roots of matrix A.
Calculation:
Here, polynomial is: λ3 – 4λ2 + aλ + 30, a ∈ R
One eigen value is 2. So, it must satisfy this equation.
⇒ 23 – 4 × 22 + a × 2 + 30 = 0,
⇒ 8 – 16 + 2a + 30 = 0
⇒ - 8 + 2a = -30
⇒ a = -11
Now, the polynomial will be
λ3 – 4λ2 + (-11)λ + 30 = 0
λ3 – 4λ2 – 11λ + 30 = 0
Factorising we get,
(λ - 2) (λ - 5) (λ + 3) = 0
⇒ λ = 2, 5, -3
The
largest among the absolute value of the eigenvalues of M is 5.