Linear Transformation of Continuous Random Variable is Continuous Random Variable
Theorem
Let $\struct {\Omega, \Sigma, \Pr}$ be a probability space.
Let $a$ be a non-zero real number.
Let $b$ be a real number.
Let $X$ be a continuous real variable.
Let $F_X$ be the cumulative distribution function of $X$.
Then $a X + b$ is a continuous real variable.
Further, if $a > 0$, the cumulative distribution function of $a X + b$, $F_{a X + b}$. is given by:
- $\ds \map {F_{a X + b} } x = \map {F_X} {\frac {x - b} a}$
for each $x \in \R$.
If $a < 0$, $F_{a X + b}$ is given by:
- $\ds \map {F_{a X + b} } x = 1 - \map {F_X} {\frac {x - b} a}$
for each $x \in \R$.
Proof
From Linear Transformation of Real-Valued Random Variable is Real-Valued Random Variable, $a X + b$ is a real-valued random variable.
Since $X$ is a continuous real variable, we have that:
- $F_X$ is continuous.
We use this fact to show that $F_{a X + b}$ is continuous, showing that $a X + b$ is a continuous real variable.
We split up into cases.
Suppose that $a > 0$.
Then, for each $x \in \R$, we have:
\(\ds \map {F_{a X + b} } x\) | \(=\) | \(\ds \map \Pr {a X + b \le x}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {a X \le x - b}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {X \le \frac {x - b} a}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map {F_X} {\frac {x - b} a}\) | Definition of Cumulative Distribution Function |
From Composite of Continuous Mappings is Continuous and Linear Function is Continuous, we therefore have:
- $F_{a X + b}$ is continuous
in the case $a > 0$.
Now suppose that $a < 0$.
Then, for each $x \in \R$, we have:
\(\ds \map {F_{a X + b} } x\) | \(=\) | \(\ds \map \Pr {a X + b \le x}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {a X \le x - b}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {X \ge \frac {x - b} a}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {\Omega \setminus \set {X < \frac {x - b} a} }\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds 1 - \map \Pr {X < \frac {x - b} a}\) | Probability of Event not Occurring | |||||||||||
\(\ds \) | \(=\) | \(\ds 1 - \map \Pr {X \le \frac {x - b} a}\) | Probability of Continuous Random Variable Lying in Singleton Set is Zero | |||||||||||
\(\ds \) | \(=\) | \(\ds 1 - \map {F_X} {\frac {x - b} a}\) |
From Composite of Continuous Mappings is Continuous and Linear Function is Continuous, we therefore have:
- $F_{a X + b}$ is continuous
in the case $a < 0$.
$\blacksquare$