Markov's Inequality
If 
takes only Nonnegative values, then
To prove the theorem, write
Since
is a probability density, it must be 
. We have stipulated that 
, so |  |  | |
 |  | ||
|  |
Q. E. D.
- Kürschák's Tile
- L1-Norm
- L2-Norm
- L2-Space
- Labeled Graph
- Lacunarity
- Ladder
- Ladder Graph
- Lagrange Bracket
- Lagrange-Bürmann Theorem
- Lagrange Expansion
- Lagrange Interpolating Polynomial
- Lagrange Inversion Theorem
- Lagrange Multiplier
- Lagrange Number (Diophantine Equation)
- Lagrange Number (Rational Approximation)
- Lagrange Polynomial
- Lagrange Remainder
- Lagrange Resolvent
- Lagrange's Continued Fraction Theorem
- Lagrange's Equation
- Lagrange's Four-Square Theorem
- Lagrange's Group Theorem
- Lagrange's Identity
- Lagrange's Interpolating Fundamental Polynomial