Problem 4: Suppose the random variable X in Problem 3 is sent through a quantizer g(x) to produce the random variable Y = g(X), where * < -0.5, 0, -0.5 <* < 0.5, r 2 0.5. -1, g(r) (a) Find a mathematical expression for Fy(y), the CDF of Y. (b) Find a mathematical expression for fy (y), the PDF of Y. (c) Find the value of E[Y].

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Problem 4: Suppose the random variable \( X \) in Problem 3 is sent through a quantizer \( g(x) \) to produce the random variable \( Y = g(X) \), where

\[
g(x) = 
\begin{cases} 
-1, & x < -0.5, \\
0, & -0.5 \leq x < 0.5, \\
1, & x \geq 0.5.
\end{cases}
\]

(a) Find a mathematical expression for \( F_Y(y) \), the CDF of \( Y \).

(b) Find a mathematical expression for \( f_Y(y) \), the PDF of \( Y \).

(c) Find the value of \( E[Y] \).
Transcribed Image Text:Problem 4: Suppose the random variable \( X \) in Problem 3 is sent through a quantizer \( g(x) \) to produce the random variable \( Y = g(X) \), where \[ g(x) = \begin{cases} -1, & x < -0.5, \\ 0, & -0.5 \leq x < 0.5, \\ 1, & x \geq 0.5. \end{cases} \] (a) Find a mathematical expression for \( F_Y(y) \), the CDF of \( Y \). (b) Find a mathematical expression for \( f_Y(y) \), the PDF of \( Y \). (c) Find the value of \( E[Y] \).
Expert Solution
Step 1

a) For the given F(x) function, we have here:
Fx(-0.5) = 0.2*(1 - 0.5)2 = 0.05
Fx(0.5) = 0.5*(1 + 0.5) = 0.75

Therefore, the CDF for Y here is given as:

F_y(y) = \left\{\begin{matrix} 0 & y < -1 \\ 0.05 & -1 \leq y < 0\\ 0.75 - 0.05 = 0.7 & 0 \leq y < 1 \\ 1 - 0.75 = 0.25 & y\geq 1 \end{matrix}\right.

This is the required CDF here.

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