Properties of CDF
- Theorem: Let X be a random variable (continuous or discrete), the its CDF satisfies the following properties:
- The CDF is a non-decreasing.
- The maximum of the CDF is when x=∞: FX(∞)=1.
- The minimum of the CDF is when x=−∞: FX(∞)=0.
Definition: A function FX(x) is said to be:
- Left-continuous at x=b if FX(x)=FX(b−)=lim
- Right-continuous at x=b if F_X(x) = F_X(b^+) = \lim\limits_{x' \to b^+} F_X(x')
- Continuous at X=b if it is both left-continuous and right-continuous.
Theorem: The CDF of any random variable (discrete or continuous) is always right-continuous.
Theorem: For any random variable X (discrete or continuous):
- \mathbb{P}[X=b] = 0, if F_X is continous at x=b.
- \mathbb{P}[X=b] = F_X(b) - F_X(b^-), if F_X is discontinous at x=b.