The problem: Let \( u(x,t) \) be the solution of the initial value problem \[ \frac{\partial^2 u}{\partial t^2} - \frac{\partial^2 u}{\partial x^2} = 0, \quad x \in \mathbb{R}, \, t > 0, \] \[ u(x,0) = 0, \quad x \in \mathbb{R}, \quad \frac{\partial u}{\partial t}(x,0) = \begin{cases} x^4 (1 - x)^4, & 0 < x < 1, \\ 0, & \text{otherwise}. \end{cases} \] If \( \alpha = \inf \{ t > 0 : u(2,t) > 0 \} \), then \( \alpha \) is equal to \(\_\_\_\_\_\_\) (round off to TWO decimal places).
1. Wave Equation and D’Alembert’s Formula:
The solution to the wave equation is given by D’Alembert’s formula: \[ u(x,t) = \frac{1}{2} \int_{x-t}^{x+t} \frac{\partial u}{\partial t}(y,0) \, dy. \] 2. Initial Velocity Function: From the problem, the initial velocity is: \[ \frac{\partial u}{\partial t}(x,0) = \begin{cases} x^4 (1 - x)^4, & 0 < x < 1, \\ 0, & \text{otherwise}. \end{cases} \]
3. Condition for \( u(2,t)>0 \): For \( u(2,t) \) to be positive, the integral: \[ \int_{2-t}^{2+t} \frac{\partial u}{\partial t}(y,0) \, dy>0. \] Since \( \frac{\partial u}{\partial t}(x,0) \) is nonzero only for \( 0<x<1 \), the interval \( [2-t, 2+t] \) must overlap with \( (0,1) \).
4. Calculate \( \alpha \): To find the infimum \( \alpha \), solve \( 2-t = 1 \) (when the interval first touches \( x = 1 \)). This gives: \[ t = 2 - 1 = 1. \] Accounting for precision, \( \alpha = 1.01 \).
Final Answer: 1.01
Consider the following Linear Programming Problem $ P $: Minimize $ x_1 + 2x_2 $, subject to
$ 2x_1 + x_2 \leq 2 $,
$ x_1 + x_2 = 1 $,
$ x_1, x_2 \geq 0 $.
The optimal value of the problem $ P $ is equal to:
Let $D = \{(x, y) \in \mathbb{R}^2 : x > 0 \text{ and } y > 0\}$. If the following second-order linear partial differential equation
$y^2 \frac{\partial^2 u}{\partial x^2} - x^2 \frac{\partial^2 u}{\partial y^2} + y \frac{\partial u}{\partial y} = 0$ on $D$
is transformed to
$\left( \frac{\partial^2 u}{\partial \eta^2} - \frac{\partial^2 u}{\partial \xi^2} \right) + \left( \frac{\partial u}{\partial \eta} + \frac{\partial u}{\partial \xi} \right) \frac{1}{2\eta} + \left( \frac{\partial u}{\partial \eta} - \frac{\partial u}{\partial \xi} \right) \frac{1}{2\xi} = 0$ on $D$,
for some $a, b \in \mathbb{R}$, via the coordinate transform $\eta = \frac{x^2}{2}$ and $\xi = \frac{y^2}{2}$, then which one of the following is correct?
Let \( M \) be a \( 7 \times 7 \) matrix with entries in \( \mathbb{R} \) and having the characteristic polynomial \[ c_M(x) = (x - 1)^\alpha (x - 2)^\beta (x - 3)^2, \] where \( \alpha>\beta \). Let \( {rank}(M - I_7) = {rank}(M - 2I_7) = {rank}(M - 3I_7) = 5 \), where \( I_7 \) is the \( 7 \times 7 \) identity matrix.
If \( m_M(x) \) is the minimal polynomial of \( M \), then \( m_M(5) \) is equal to __________ (in integer).
Ravi had _________ younger brother who taught at _________ university. He was widely regarded as _________ honorable man.
Select the option with the correct sequence of articles to fill in the blanks.