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Exercise 4.4 · Q16

Q.If A=[2−11−12−11−12]A = \begin{bmatrix} 2 & -1 & 1 \\ -1 & 2 & -1 \\ 1 & -1 & 2 \end{bmatrix}. Verify that A3−6A2+9A−4I=OA^3 - 6A^2 + 9A - 4I = O and hence find A−1A^{-1}.

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The Cayley-Hamilton theorem lets us verify the given matrix equation by first finding the characteristic polynomial of AA, then using that polynomial to express A−1A^{-1} as a linear combination of II, AA, and A2A^2.

We are given the matrix

A=[2−11−12−11−12].A = \begin{bmatrix} 2 & -1 & 1 \\ -1 & 2 & -1 \\ 1 & -1 & 2 \end{bmatrix}.

The problem asks us to verify that A3−6A2+9A−4I=OA^3 - 6A^2 + 9A - 4I = O and then use this to find A−1A^{-1}.

The key idea is the Cayley-Hamilton theorem: every square matrix satisfies its own characteristic equation. So if we find the characteristic polynomial of AA, the theorem guarantees that plugging AA into that polynomial gives the zero matrix. The given cubic expression looks suspiciously like a characteristic polynomial — we just need to check.


1. Find the characteristic polynomial of AA.

The characteristic polynomial is p(λ)=det⁡(λI−A)p(\lambda) = \det(\lambda I - A). Compute:

λI−A=[λ−21−11λ−21−11λ−2].\lambda I - A = \begin{bmatrix} \lambda - 2 & 1 & -1 \\ 1 & \lambda - 2 & 1 \\ -1 & 1 & \lambda - 2 \end{bmatrix}.

Take the determinant. A neat trick: add all rows to the first row, or notice the pattern. Let's do it directly:

det⁡=(λ−2)det⁡[λ−211λ−2]−1⋅det⁡[11−1λ−2]+(−1)⋅det⁡[1λ−2−11].\det = (\lambda-2)\det\begin{bmatrix} \lambda-2 & 1 \\ 1 & \lambda-2 \end{bmatrix} - 1 \cdot \det\begin{bmatrix} 1 & 1 \\ -1 & \lambda-2 \end{bmatrix} + (-1) \cdot \det\begin{bmatrix} 1 & \lambda-2 \\ -1 & 1 \end{bmatrix}.

Compute each 2×22\times2 determinant:

  • First: (λ−2)2−1=λ2−4λ+4−1=λ2−4λ+3(\lambda-2)^2 - 1 = \lambda^2 - 4\lambda + 4 - 1 = \lambda^2 - 4\lambda + 3.
  • Second: 1⋅(λ−2)−1⋅(−1)=λ−2+1=λ−11\cdot(\lambda-2) - 1\cdot(-1) = \lambda - 2 + 1 = \lambda - 1.
  • Third: 1⋅1−(λ−2)(−1)=1+λ−2=λ−11\cdot 1 - (\lambda-2)(-1) = 1 + \lambda - 2 = \lambda - 1.

So:

det⁡=(λ−2)(λ2−4λ+3)−(λ−1)−(λ−1).\det = (\lambda-2)(\lambda^2 - 4\lambda + 3) - (\lambda-1) - (\lambda-1).

Simplify:

=(λ−2)(λ2−4λ+3)−2(λ−1).= (\lambda-2)(\lambda^2 - 4\lambda + 3) - 2(\lambda-1).

Expand (λ−2)(λ2−4λ+3)(\lambda-2)(\lambda^2 - 4\lambda + 3):

  • λ⋅λ2=λ3\lambda \cdot \lambda^2 = \lambda^3
  • λ⋅(−4λ)=−4λ2\lambda \cdot (-4\lambda) = -4\lambda^2
  • λ⋅3=3λ\lambda \cdot 3 = 3\lambda
  • (−2)⋅λ2=−2λ2(-2) \cdot \lambda^2 = -2\lambda^2
  • (−2)⋅(−4λ)=8λ(-2) \cdot (-4\lambda) = 8\lambda
  • (−2)⋅3=−6(-2) \cdot 3 = -6

Sum: λ3−6λ2+11λ−6\lambda^3 - 6\lambda^2 + 11\lambda - 6.

Now subtract 2(λ−1)=2λ−22(\lambda-1) = 2\lambda - 2:

λ3−6λ2+11λ−6−2λ+2=λ3−6λ2+9λ−4.\lambda^3 - 6\lambda^2 + 11\lambda - 6 - 2\lambda + 2 = \lambda^3 - 6\lambda^2 + 9\lambda - 4.

Thus the characteristic polynomial is:

p(λ)=λ3−6λ2+9λ−4.p(\lambda) = \lambda^3 - 6\lambda^2 + 9\lambda - 4.

p(λ)=λ3−6λ2+9λ−4p(\lambda) = \lambda^3 - 6\lambda^2 + 9\lambda - 4


2. Apply Cayley-Hamilton theorem.

The theorem states that p(A)=Op(A) = O. That is:

A3−6A2+9A−4I=O.A^3 - 6A^2 + 9A - 4I = O.

This is exactly what we needed to verify. So the given equation holds — no need to compute powers of AA explicitly.

Tip

Cayley-Hamilton saves enormous computation. Instead of multiplying matrices three times, we just found a determinant and invoked the theorem.


3. Use the polynomial to find A−1A^{-1}.

We have:

A3−6A2+9A−4I=O.A^3 - 6A^2 + 9A - 4I = O.

We want A−1A^{-1}. Multiply the entire equation by A−1A^{-1} (assuming AA is invertible — we'll check later):

A2−6A+9I−4A−1=O.A^2 - 6A + 9I - 4A^{-1} = O.

Now solve for A−1A^{-1}:

4A−1=A2−6A+9I.4A^{-1} = A^2 - 6A + 9I.

So:

A−1=14(A2−6A+9I).A^{-1} = \frac{1}{4} (A^2 - 6A + 9I).

We need A2A^2 to compute this explicitly.


4. Compute A2A^2.

A2=[2−11−12−11−12]⋅[2−11−12−11−12].A^2 = \begin{bmatrix} 2 & -1 & 1 \\ -1 & 2 & -1 \\ 1 & -1 & 2 \end{bmatrix} \cdot \begin{bmatrix} 2 & -1 & 1 \\ -1 & 2 & -1 \\ 1 & -1 & 2 \end{bmatrix}.

Compute entry by entry:

  • Row 1, Col 1: 2⋅2+(−1)(−1)+1⋅1=4+1+1=62\cdot2 + (-1)(-1) + 1\cdot1 = 4 + 1 + 1 = 6.

  • Row 1, Col 2: 2⋅(−1)+(−1)⋅2+1⋅(−1)=−2−2−1=−52\cdot(-1) + (-1)\cdot2 + 1\cdot(-1) = -2 -2 -1 = -5.

  • Row 1, Col 3: 2⋅1+(−1)(−1)+1⋅2=2+1+2=52\cdot1 + (-1)(-1) + 1\cdot2 = 2 + 1 + 2 = 5.

  • Row 2, Col 1: (−1)⋅2+2⋅(−1)+(−1)⋅1=−2−2−1=−5(-1)\cdot2 + 2\cdot(-1) + (-1)\cdot1 = -2 -2 -1 = -5. …

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