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Characteristic Polynomial & Cayley-Hamilton Theorem for 2x2 Matrices

Learn to find the characteristic polynomial of a 2x2 matrix and verify the Cayley-Hamilton theorem with this detailed JEE Advanced solution.

4 min readPublished 4 June 2026
Matrices & DeterminantsA satisfies its own characteristic equation

Concept Overview

This question tests the understanding of two fundamental concepts in linear algebra: the characteristic polynomial of a matrix and the Cayley-Hamilton theorem. The characteristic polynomial is derived from the determinant of (AλI)(A - \lambda I), where AA is the matrix, λ\lambda is a scalar, and II is the identity matrix. The Cayley-Hamilton theorem states that every square matrix satisfies its own characteristic equation, meaning if p(λ)p(\lambda) is the characteristic polynomial, then p(A)=0p(A) = 0.

Worked Solution

Let's consider a general 2x2 matrix AA:

A=(abcd)A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}

Step 1: Define the characteristic equation. The characteristic equation of a matrix AA is given by AλI=0|A - \lambda I| = 0, where λ\lambda is an eigenvalue and II is the identity matrix of the same order as AA. For a 2x2 matrix, I=(1001)I = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}.

Step 2: Calculate AλIA - \lambda I.

AλI=(abcd)λ(1001)=(aλbcdλ)A - \lambda I = \begin{pmatrix} a & b \\ c & d \end{pmatrix} - \lambda \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} = \begin{pmatrix} a - \lambda & b \\ c & d - \lambda \end{pmatrix}

This step involves subtracting the scalar λ\lambda from the diagonal elements of matrix AA.

Step 3: Compute the determinant of AλIA - \lambda I. The determinant of a 2x2 matrix (pqrs)\begin{pmatrix} p & q \\ r & s \end{pmatrix} is psqrps - qr. Applying this to AλIA - \lambda I:

AλI=(aλ)(dλ)bc|A - \lambda I| = (a - \lambda)(d - \lambda) - bc

This calculation expands the determinant expression.

Step 4: Expand and simplify to find the characteristic polynomial. Expanding the expression from Step 3:

(aλ)(dλ)bc=adaλdλ+λ2bc=λ2(a+d)λ+(adbc)(a - \lambda)(d - \lambda) - bc = ad - a\lambda - d\lambda + \lambda^2 - bc = \lambda^2 - (a+d)\lambda + (ad-bc)

The characteristic polynomial, p(λ)p(\lambda), is this expression set to zero:

p(λ)=λ2(a+d)λ+(adbc)=0p(\lambda) = \lambda^2 - (a+d)\lambda + (ad-bc) = 0

Notice that (a+d)(a+d) is the trace of matrix AA (sum of diagonal elements), denoted as tr(A)tr(A), and (adbc)(ad-bc) is the determinant of matrix AA, denoted as A|A|. So, the characteristic polynomial can be written as:

p(λ)=λ2tr(A)λ+A=0p(\lambda) = \lambda^2 - tr(A)\lambda + |A| = 0

Step 5: State the Cayley-Hamilton theorem. The Cayley-Hamilton theorem states that every square matrix satisfies its own characteristic equation. This means if we replace λ\lambda with the matrix AA in the characteristic polynomial equation, the result should be the zero matrix.

Step 6: Verify the Cayley-Hamilton theorem for matrix AA. According to the theorem, p(A)p(A) should be the zero matrix:

p(A)=A2tr(A)A+AI=(0000)p(A) = A^2 - tr(A)A + |A|I = \begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}

To verify this, we need to calculate A2A^2, tr(A)tr(A), A|A|, and II. First, calculate A2A^2:

A2=AA=(abcd)(abcd)=(a2+bcab+bdca+dccb+d2)A^2 = A \cdot A = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \begin{pmatrix} a & b \\ c & d \end{pmatrix} = \begin{pmatrix} a^2 + bc & ab + bd \\ ca + dc & cb + d^2 \end{pmatrix}

Next, identify tr(A)tr(A) and A|A|:

tr(A)=a+dtr(A) = a+d A=adbc|A| = ad-bc

Now, substitute these into the equation A2tr(A)A+AIA^2 - tr(A)A + |A|I:

A2(a+d)A+(adbc)I=(a2+bcab+bdca+dccb+d2)(a+d)(abcd)+(adbc)(1001)A^2 - (a+d)A + (ad-bc)I = \begin{pmatrix} a^2 + bc & ab + bd \\ ca + dc & cb + d^2 \end{pmatrix} - (a+d)\begin{pmatrix} a & b \\ c & d \end{pmatrix} + (ad-bc)\begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} =(a2+bcab+bdca+dccb+d2)(a(a+d)b(a+d)c(a+d)d(a+d))+(adbc00adbc)= \begin{pmatrix} a^2 + bc & ab + bd \\ ca + dc & cb + d^2 \end{pmatrix} - \begin{pmatrix} a(a+d) & b(a+d) \\ c(a+d) & d(a+d) \end{pmatrix} + \begin{pmatrix} ad-bc & 0 \\ 0 & ad-bc \end{pmatrix} =(a2+bca2adab+bdabbdca+dccacdcb+d2add2+adbc)= \begin{pmatrix} a^2 + bc - a^2 - ad & ab + bd - ab - bd \\ ca + dc - ca - cd & cb + d^2 - ad - d^2 + ad - bc \end{pmatrix} =(bcad00bcad)+(adbc00adbc)= \begin{pmatrix} bc - ad & 0 \\ 0 & bc - ad \end{pmatrix} + \begin{pmatrix} ad-bc & 0 \\ 0 & ad-bc \end{pmatrix} =((bcad)+(adbc)00(bcad)+(adbc))=(0000)= \begin{pmatrix} (bc - ad) + (ad - bc) & 0 \\ 0 & (bc - ad) + (ad - bc) \end{pmatrix} = \begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}

Thus, the matrix AA satisfies its own characteristic equation, verifying the Cayley-Hamilton theorem.

Key Takeaways:

  • The characteristic polynomial of a 2x2 matrix AA is given by λ2tr(A)λ+A=0\lambda^2 - tr(A)\lambda + |A| = 0.
  • The Cayley-Hamilton theorem states that a matrix satisfies its own characteristic equation, i.e., p(A)=0p(A) = 0.
  • For a 2x2 matrix AA, this verification involves calculating A2A^2, tr(A)tr(A), A|A|, and II, and showing that A2tr(A)A+AIA^2 - tr(A)A + |A|I equals the zero matrix.
  • This theorem is crucial for finding matrix inverses and powers of matrices.

Answer: The characteristic polynomial is λ2(a+d)λ+(adbc)=0\lambda^2 - (a+d)\lambda + (ad-bc) = 0, and the Cayley-Hamilton theorem is verified by showing A2(a+d)A+(adbc)I=(0000)A^2 - (a+d)A + (ad-bc)I = \begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}.

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