Properties of CDF

  • Theorem: Let X be a random variable (continuous or discrete), the its CDF satisfies the following properties:
    1. The CDF is a non-decreasing.
    2. The maximum of the CDF is when x=: FX()=1.
    3. 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.