Eigenvalue and Characteristic Polynomial Analysis

Questions focused on eigenvalues, characteristic polynomials, spectral radius, or spectral properties of matrices, including existence of eigenvalues and bounds on spectral radius.

jee-main 2025 Q83 View
Q83. Let $A$ be a square matrix of order 2 such that $| A | = 2$ and the sum of its diagonal elements is - 3 . If the points $( x , y )$ satisfying $\mathrm { A } ^ { 2 } + x \mathrm {~A} + y \mathrm { I } = \mathrm { O }$ lie on a hyperbola, whose length of semi major axis is $x$ and semi minor axis is $y$, eccentricity is e and the length of the latus rectum is $l$, then $81 \left( e ^ { 4 } + l ^ { 2 } \right)$ is equal to
todai-math 2021 QII View
Consider a discrete-time system where stochastic transitions between the two states (A and B) occur as shown in Figure 2.1. The transition probability in unit time from the state A to B is $\alpha$ and from the state B to A is $\beta$. Note that $0 < \alpha < 1$ and $0 < \beta < 1$. Variables $n$ and $k$ represent discrete time and are integers greater than or equal to 0.
Answer the following questions.
  1. Let $P_{\mathrm{A}}(n)$ be the probability that the state is A at time $n$ and $P_{\mathrm{B}}(n)$ be the probability that the state is B at time $n$. Let $\boldsymbol{P}(n) = \binom{P_{\mathrm{A}}(n)}{P_{\mathrm{B}}(n)}$. Express matrix $\boldsymbol{M}$ using $\alpha$ and $\beta$, assuming $\boldsymbol{P}(n+1) = \boldsymbol{M}\boldsymbol{P}(n)$.
  2. Obtain all eigenvalues and the corresponding eigenvectors of matrix $\boldsymbol{M}$.
  3. As time tends towards infinity, the probability that the state is A and the probability that the state is B converge towards constant values. Obtain each value.
  4. Assume $R_{\mathrm{A}}(n) = P_{\mathrm{A}}(n) - \lim_{k \rightarrow \infty} P_{\mathrm{A}}(k)$. Express $R_{\mathrm{A}}(n+1)$ by using $R_{\mathrm{A}}(n)$.