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Abbreviations
- Dynamical system:
-
in its broadest sense, any set X, with a map \( { T\colon X \to X } \). Theclassical example is: X is a set whose points are the states of some physical systemand the state x is succeeded by the state Tx after one unit of time.
- Iteration:
-
repeated applications of the map T above to arrive at the state of the systemafter n units of time.
- Orbit of x :
-
the forward images \( { x, Tx, T^{2}X \ldots } \) of \( { x \in X } \) underiteration of T. When T is invertible one may consider the forward, backward ortwo-sided orbit of x.
- Automorphism:
-
a dynamical system \( { T\colon X \to X } \), where X is a measure spaceand T is an invertible map preserving measure.
- Ergodic average:
-
if f is a function on X let \( { A_{n}f(x) =n^{-1}\sum_{i=0}^{n-1} f(T^{i}x) } \); the average of the values of f over thefirst n points in the orbit of x.
- Ergodic theorem:
-
an assertion that ergodic averages converge in some sense.
- Mean ergodic theorem:
-
an assertion that ergodic averages converge with respect to some normon a space of functions.
- Pointwise ergodic theorem:
-
an assertion that ergodic averages \( { A_{n}f(x) } \) converge for some or all\( { x \in X } \), usually for a.e. x.
- Stationary process:
-
a sequence \( { (X_{1}, X_{2}, \ldots) } \) of random variables (real orcomplex‐valued measurable functions) on a probability space whose joint distributions areinvariant under shifting \( { (X_{1}, X_{2}, \ldots) } \) to \( { (X_{2}, X_{3}, \ldots) } \).
- Uniform distribution:
-
a sequence \( { \{x_{n}\} } \) in \( { [0,1] } \) is uniformly distributed if for eachinterval \( { I \subset[0,1] } \), the time it spends in I is asymptotically proportional tothe length of I.
- Maximal inequality:
-
an inequality which allows one to bound the pointwise oscillation ofa sequence of functions. An essential tool for proving pointwise ergodic theorems.
- Operator:
-
any linear operator U on a vector space of functions on X, for exampleone arising from a dynamical system T by setting \( { Uf(x) = f(Tx) } \). More generally anylinear transformation on a real or complex vector space.
- Positive contraction:
-
an operator T on a space of functions endowed with a norm\( { \|\cdot\| } \) such that T maps positive functions to positive functions and \( { \|Tf\| \leq|f| } \).
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Junco, A. (2009). Ergodic Theorems. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30440-3_176
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