1
- G. Ahmadi
ME 529 - Stochastics
- G. Ahmadi
ME 529 - Stochastics
- Definition of Stochastic Processes
Definition of Stochastic Processes
- 1
1st
st Order Density and Distribution
Order Density and Distribution
- 2
2nd
nd Order Density and Distribution
Order Density and Distribution
- Conditional Density
Conditional Density
- Expected Value and Autocorrelation
Expected Value and Autocorrelation
- Auto
Auto-
- covariance and Variance
covariance and Variance
- Examples of Physical Stochastic
Examples of Physical Stochastic Processes Processes
- G. Ahmadi
ME 529 - Stochastics
Given a random experiment Given a random experiment ℑ ℑ: (S, F, P), to each : (S, F, P), to each ξ ξ we assign time function we assign time function X(t, X(t,ξ ξ) ) t t∈ ∈ (0,T) (0,T) Stochastic process Stochastic process family of time functions, family of time functions, ξ
ξ∈ ∈ S. S.
t ξ1 ξ2 ξ3 ξ4 t1
X(t X(t, ,ξ ξ) )
- G. Ahmadi
ME 529 - Stochastics
Meaning of X(t, Meaning of X(t,ξ ξ) )
- t,
t,ξ ξ vary: family of time vary: family of time functions functions
- t vary: single time
t vary: single time functions functions
- ξ
ξ vary: random variable vary: random variable
- t,
t,ξ ξ fixed: single number fixed: single number Note: ... are n Note: ... are n random variables random variables
( )
ξ , t X
t ξ1 ξ2 ξ3 ξ4 t1
Example of a stochastic process. Sample space has four outcomes.
( ) ξ ,
1 1
t X X =
( ) ξ ,
n n
t X X =