← 2024 Paper 1

UPSC 2024 Maths Optional Paper 1 Q4a — Step-by-Step Solution

20 marks · Section A

Eigenvalues and eigenvectors · Linear Algebra · asked 10× in 14 yrs · Read the full method →

Question

Let A=(324202423)A=\begin{pmatrix}3 & 2 & 4\\2 & 0 & 2\\4 & 2 & 3\end{pmatrix}. Find the eigenvalues and corresponding eigenvectors of AA. Hence find the eigenvalues and corresponding eigenvectors of A−15A^{-15}, where A−15=(A−1)15A^{-15}=(A^{-1})^{15}.

Technique

Characteristic polynomial via 3×33\times3 determinant; eigenvectors from (A−λI)v=0(A-\lambda I)v=0; eigenvalues of A−15A^{-15} inherit from AA via λ−15\lambda^{-15}.

Solution

Eigenvalues of AA

Characteristic equation det⁡(A−λI)=0\det(A-\lambda I)=0:

det⁡(3−λ242−λ2423−λ)=0.\det\begin{pmatrix}3-\lambda & 2 & 4\\2 & -\lambda & 2\\4 & 2 & 3-\lambda\end{pmatrix}=0.

Expanding and collecting: λ3−6λ2−15λ−8=0\lambda^3-6\lambda^2-15\lambda-8=0.

Testing λ=−1\lambda=-1: −1−6+15−8=0-1-6+15-8=0 ✓. Factor out (λ+1)(\lambda+1):

(λ+1)(λ2−7λ−8)=(λ+1)(λ+1)(λ−8)=(λ+1)2(λ−8).(\lambda+1)(\lambda^2-7\lambda-8)=(\lambda+1)(\lambda+1)(\lambda-8)=(\lambda+1)^2(\lambda-8).

Eigenvalues: λ=8\lambda=8 (simple) and λ=−1\lambda=-1 (algebraic multiplicity 2).

Sanity check. Trace: 3+0+3=6=8+(−1)+(−1)3+0+3=6=8+(-1)+(-1) ✓. Determinant: 8=8⋅(−1)⋅(−1)8=8\cdot(-1)\cdot(-1) ✓.

Eigenvectors of AA

For λ=8\lambda=8: solve (A−8I)v=0(A-8I)v=0. Row reduce:

(−5242−8242−5)  →  v1=2v2,  v3=2v2.\begin{pmatrix}-5 & 2 & 4\\2 & -8 & 2\\4 & 2 & -5\end{pmatrix}\;\to\; v_1=2v_2,\;v_3=2v_2.

Setting v2=1v_2=1: eigenvector v(8)=(2,1,2)Tv^{(8)}=(2,1,2)^T.

For λ=−1\lambda=-1: solve (A+I)v=0(A+I)v=0:

(424212424).\begin{pmatrix}4 & 2 & 4\\2 & 1 & 2\\4 & 2 & 4\end{pmatrix}.

All rows reduce to 2v1+v2+2v3=02v_1+v_2+2v_3=0, giving a 2-dimensional eigenspace (geometric multiplicity = algebraic multiplicity). A basis:

va(−1)=(1,−2,0)T,vb(−1)=(0,−2,1)T.v^{(-1)}_a=(1,-2,0)^T,\qquad v^{(-1)}_b=(0,-2,1)^T.

Eigenvalues and eigenvectors of A−15A^{-15}

Since AA is diagonalizable and det⁡A=8≠0\det A=8\ne 0, A−1A^{-1} exists. If Av=λvAv=\lambda v, then A−kv=λ−kvA^{-k}v=\lambda^{-k}v; eigenvectors are the same as those of AA.

λ\lambda (of AA)λ−15\lambda^{-15} (of A−15A^{-15})Eigenvector(s)
888−15=2−458^{-15}=2^{-45}(2,1,2)T(2,1,2)^T
−1-1 (mult. 2)(−1)−15=−1(-1)^{-15}=-1(1,−2,0)T(1,-2,0)^T, (0,−2,1)T(0,-2,1)^T

Answer

  Eigenvalues of A:  8 (eigenvector (2,1,2)T),  −1 multiplicity 2 (basis (1,−2,0)T,(0,−2,1)T).  \boxed{\;\text{Eigenvalues of }A:\;8\text{ (eigenvector }(2,1,2)^T),\;-1\text{ multiplicity 2 (basis }(1,-2,0)^T,(0,-2,1)^T).\;}   Eigenvalues of A−15:  2−45 and −1 (multiplicity 2), same eigenvectors as A.    \boxed{\;\text{Eigenvalues of }A^{-15}:\;2^{-45}\text{ and }-1\text{ (multiplicity 2),\text{ same eigenvectors as }A.\;}\;}
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