Randomized Algorithms (Spring 2010)/Martingales
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Contents
1
Martingales
1.1
Review of conditional probability
1.2
Martingales and Azuma's Inequality
1.3
Generalizations
2
The Method of Bounded Differences
3
Applications
Martingales
Review of conditional probability
Martingales and Azuma's Inequality
Azuma's Inequality:
Let
[math]\displaystyle{ X_0,X_1,\ldots }[/math]
be a martingale such that, for all
[math]\displaystyle{ k\ge 1 }[/math]
,
[math]\displaystyle{ |X_{k}-X_{k-1}|\le c_k, }[/math]
Then
[math]\displaystyle{ \begin{align} \Pr\left[|X_n-X_0|\ge t\right]\le 2\exp\left(-\frac{t^2}{2\sum_{k=1}^nc_k^2}\right). \end{align} }[/math]
Azuma's Inequality:
Let
[math]\displaystyle{ X_0,X_1,\ldots }[/math]
be a martingale such that, for all
[math]\displaystyle{ k\ge 1 }[/math]
,
[math]\displaystyle{ |X_{k}-X_{k-1}|\le c, }[/math]
Then
[math]\displaystyle{ \begin{align} \Pr\left[|X_n-X_0|\ge ct\sqrt{n}\right]\le 2 e^{-t^2/2}. \end{align} }[/math]
Generalizations
The Method of Bounded Differences
Applications
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