Difference between revisions of "Shift dynamical system"
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− | + | A [[Dynamical system|dynamical system]] $ f ^ { t } $( | |
+ | or, in a different notation, $ f ( t, \cdot ) $) | ||
+ | on a space of continuous functions $ \phi : \mathbf R \rightarrow S $( | ||
+ | $ S $ | ||
+ | is a metric space) equipped with the compact-open topology (that is, the topology of uniform convergence on segments), defined by | ||
− | + | $$ | |
+ | f ^ { t } \phi = T _ {t} \phi , | ||
+ | $$ | ||
− | + | where $ T _ {t} $ | |
+ | is the [[Shift operator|shift operator]] by $ t $, | ||
+ | that is, | ||
− | + | $$ | |
+ | T _ {t} \phi ( \cdot ) = \phi ( \cdot + t). | ||
+ | $$ | ||
+ | |||
+ | Thus, the trajectory of a point $ \phi $ | ||
+ | in a shift dynamical system is the set of all shifts of $ \phi $, | ||
+ | that is, of all functions of the form $ \phi ( t + \tau ) $ | ||
+ | for $ \tau \in \mathbf R $. | ||
+ | The closure of the trajectory is the set of all functions of the form | ||
+ | |||
+ | $$ | ||
+ | \widetilde \phi ( \tau ) = \ | ||
+ | \lim\limits _ {k \rightarrow \infty } \ | ||
+ | \phi ( t _ {k} + \tau ), | ||
+ | $$ | ||
where the limit is uniform on each segment. A shift dynamical system is equipped with normalized invariant measures (cf. [[Invariant measure|Invariant measure]]); these exist by the Bogolyubov–Krylov theorem (Bogolyubov–Krylov invariant measures are concentrated on compact sets). | where the limit is uniform on each segment. A shift dynamical system is equipped with normalized invariant measures (cf. [[Invariant measure|Invariant measure]]); these exist by the Bogolyubov–Krylov theorem (Bogolyubov–Krylov invariant measures are concentrated on compact sets). | ||
− | A shift dynamical system is used in the theory of dynamical systems mainly to construct examples (here | + | A shift dynamical system is used in the theory of dynamical systems mainly to construct examples (here $ S $ |
+ | is usually taken to be $ \mathbf R $; | ||
+ | Markov's example of a non-strictly ergodic system on a compact set each trajectory of which is everywhere dense, and others), and also in the theory of non-autonomous systems of ordinary differential equations, where $ S $ | ||
+ | is usually taken to be $ \mathbf R ^ {n} $ | ||
+ | or a space of mappings $ \mathbf R ^ {n} \rightarrow \mathbf R ^ {n} $( | ||
+ | in the theory of linear homogeneous non-autonomous systems it is usual to take $ S = \mathop{\rm Hom} ( \mathbf R ^ {n} , \mathbf R ^ {n} ) $). | ||
See also [[Singular exponents|Singular exponents]]; [[Central exponents|Central exponents]]. | See also [[Singular exponents|Singular exponents]]; [[Central exponents|Central exponents]]. | ||
− | |||
− | |||
====Comments==== | ====Comments==== | ||
− | A shift dynamical system as defined above is often called a Bebutov system; cf. [[#References|[a3]]]. The Bebutov–Kakutani theorem states that a dynamical system on a compact metric space is isomorphic to a subsystem of the Bebutov system with | + | A shift dynamical system as defined above is often called a Bebutov system; cf. [[#References|[a3]]]. The Bebutov–Kakutani theorem states that a dynamical system on a compact metric space is isomorphic to a subsystem of the Bebutov system with $ S = \mathbf R $ |
+ | if and only if the set of its invariant points is homeomorphic to a subset of $ \mathbf R $( | ||
+ | cf. [[#References|[a5]]], and, for a generalization, [[#References|[a4]]]). | ||
Markov's example, mentioned above, can be found in [[#References|[a7]]], Chapt. VI, 9.35. For the use of Bebutov systems for non-autonomous systems of ordinary differential equations, see [[#References|[a8]]]. | Markov's example, mentioned above, can be found in [[#References|[a7]]], Chapt. VI, 9.35. For the use of Bebutov systems for non-autonomous systems of ordinary differential equations, see [[#References|[a8]]]. | ||
− | Usually, by a shift dynamical system one understands a discrete-time system (a [[Cascade|cascade]]) of the form | + | Usually, by a shift dynamical system one understands a discrete-time system (a [[Cascade|cascade]]) of the form $ ( \Omega _ {S} , \sigma ) $; |
+ | here $ S $ | ||
+ | denotes a finite non-empty set, $ \Omega _ {S} = S ^ {\mathbf Z } $ | ||
+ | is the space of all two-sided infinite sequences with elements in $ S $, | ||
+ | endowed with the usual product topology (this is just $ C( \mathbf Z , S) $ | ||
+ | with its compact-open topology when $ S $ | ||
+ | is considered with its discrete topology), and $ \sigma $ | ||
+ | is the shift operator by 1, that is, $ ( \sigma x ) _ {n} = x _ {n+} 1 $ | ||
+ | for $ x = ( x _ {n} ) _ {n \in \mathbf Z } \in \Omega _ {S} $. | ||
− | These (discrete) shift systems play an important role in ergodic theory and topological dynamics. For example, a Bernoulli system is a shift system endowed with the product measure on | + | These (discrete) shift systems play an important role in ergodic theory and topological dynamics. For example, a Bernoulli system is a shift system endowed with the product measure on $ S ^ {\mathbf Z } $ |
+ | defined by a probability measure on $ S $( | ||
+ | cf. [[Bernoulli automorphism|Bernoulli automorphism]]). The discrete shift systems and their subsystems (subshifts) are not only used for the construction of special examples (for an important method — substitution — cf. [[#References|[a6]]]), they are also important for the study of the behaviour of a large class of cascades by "coding" their trajectories by means of elements of $ \Omega _ {S} $ | ||
+ | for a suitable set $ S $( | ||
+ | cf. [[Symbolic dynamics|Symbolic dynamics]]). More recently, it turned out that the methods used for the classification of so-called subshifts of finite type (see [[#References|[a2]]]) are useful for information processing; see [[#References|[a1]]]. | ||
====References==== | ====References==== | ||
<table><TR><TD valign="top">[a1]</TD> <TD valign="top"> R.L. Adler, D. Coppersmith, M. Hassner, "Algorithms for sliding block codes" ''IEEE Trans. Inform. Theory'' , '''29''' (1983) pp. 5–22</TD></TR><TR><TD valign="top">[a2]</TD> <TD valign="top"> R.L. Adler, B. Marcus, "Topological entropy and equivalence of dynamical systems" , Amer. Math. Soc. (1979)</TD></TR><TR><TD valign="top">[a3]</TD> <TD valign="top"> H. Furstenberg, "Recurrence in ergodic theory and combinatorial number theory" , Princeton Univ. Press (1981)</TD></TR><TR><TD valign="top">[a4]</TD> <TD valign="top"> O. Hajek, "Representations of dynamical systems" ''Funkcial. Ekvac.'' , '''114''' (1971) pp. 25–34</TD></TR><TR><TD valign="top">[a5]</TD> <TD valign="top"> S. Kakutani, "A proof of Bebutov's theorem" ''J. Differential Equations'' , '''4''' (1968) pp. 194–201</TD></TR><TR><TD valign="top">[a6]</TD> <TD valign="top"> J.C. Martin, "Substitution minimal flows" ''Amer. J. Math.'' , '''93''' (1971) pp. 503–526</TD></TR><TR><TD valign="top">[a7]</TD> <TD valign="top"> V.V. Nemytskii, V.V. Stepanov, "Qualitative theory of differential equations" , Princeton Univ. Press (1960) (Translated from Russian)</TD></TR><TR><TD valign="top">[a8]</TD> <TD valign="top"> G.R. Sell, "Topological dynamics and ordinary differential equations" , v. Nostrand-Reinhold (1971)</TD></TR></table> | <table><TR><TD valign="top">[a1]</TD> <TD valign="top"> R.L. Adler, D. Coppersmith, M. Hassner, "Algorithms for sliding block codes" ''IEEE Trans. Inform. Theory'' , '''29''' (1983) pp. 5–22</TD></TR><TR><TD valign="top">[a2]</TD> <TD valign="top"> R.L. Adler, B. Marcus, "Topological entropy and equivalence of dynamical systems" , Amer. Math. Soc. (1979)</TD></TR><TR><TD valign="top">[a3]</TD> <TD valign="top"> H. Furstenberg, "Recurrence in ergodic theory and combinatorial number theory" , Princeton Univ. Press (1981)</TD></TR><TR><TD valign="top">[a4]</TD> <TD valign="top"> O. Hajek, "Representations of dynamical systems" ''Funkcial. Ekvac.'' , '''114''' (1971) pp. 25–34</TD></TR><TR><TD valign="top">[a5]</TD> <TD valign="top"> S. Kakutani, "A proof of Bebutov's theorem" ''J. Differential Equations'' , '''4''' (1968) pp. 194–201</TD></TR><TR><TD valign="top">[a6]</TD> <TD valign="top"> J.C. Martin, "Substitution minimal flows" ''Amer. J. Math.'' , '''93''' (1971) pp. 503–526</TD></TR><TR><TD valign="top">[a7]</TD> <TD valign="top"> V.V. Nemytskii, V.V. Stepanov, "Qualitative theory of differential equations" , Princeton Univ. Press (1960) (Translated from Russian)</TD></TR><TR><TD valign="top">[a8]</TD> <TD valign="top"> G.R. Sell, "Topological dynamics and ordinary differential equations" , v. Nostrand-Reinhold (1971)</TD></TR></table> |
Latest revision as of 08:13, 6 June 2020
A dynamical system $ f ^ { t } $(
or, in a different notation, $ f ( t, \cdot ) $)
on a space of continuous functions $ \phi : \mathbf R \rightarrow S $(
$ S $
is a metric space) equipped with the compact-open topology (that is, the topology of uniform convergence on segments), defined by
$$ f ^ { t } \phi = T _ {t} \phi , $$
where $ T _ {t} $ is the shift operator by $ t $, that is,
$$ T _ {t} \phi ( \cdot ) = \phi ( \cdot + t). $$
Thus, the trajectory of a point $ \phi $ in a shift dynamical system is the set of all shifts of $ \phi $, that is, of all functions of the form $ \phi ( t + \tau ) $ for $ \tau \in \mathbf R $. The closure of the trajectory is the set of all functions of the form
$$ \widetilde \phi ( \tau ) = \ \lim\limits _ {k \rightarrow \infty } \ \phi ( t _ {k} + \tau ), $$
where the limit is uniform on each segment. A shift dynamical system is equipped with normalized invariant measures (cf. Invariant measure); these exist by the Bogolyubov–Krylov theorem (Bogolyubov–Krylov invariant measures are concentrated on compact sets).
A shift dynamical system is used in the theory of dynamical systems mainly to construct examples (here $ S $ is usually taken to be $ \mathbf R $; Markov's example of a non-strictly ergodic system on a compact set each trajectory of which is everywhere dense, and others), and also in the theory of non-autonomous systems of ordinary differential equations, where $ S $ is usually taken to be $ \mathbf R ^ {n} $ or a space of mappings $ \mathbf R ^ {n} \rightarrow \mathbf R ^ {n} $( in the theory of linear homogeneous non-autonomous systems it is usual to take $ S = \mathop{\rm Hom} ( \mathbf R ^ {n} , \mathbf R ^ {n} ) $).
See also Singular exponents; Central exponents.
Comments
A shift dynamical system as defined above is often called a Bebutov system; cf. [a3]. The Bebutov–Kakutani theorem states that a dynamical system on a compact metric space is isomorphic to a subsystem of the Bebutov system with $ S = \mathbf R $ if and only if the set of its invariant points is homeomorphic to a subset of $ \mathbf R $( cf. [a5], and, for a generalization, [a4]).
Markov's example, mentioned above, can be found in [a7], Chapt. VI, 9.35. For the use of Bebutov systems for non-autonomous systems of ordinary differential equations, see [a8].
Usually, by a shift dynamical system one understands a discrete-time system (a cascade) of the form $ ( \Omega _ {S} , \sigma ) $; here $ S $ denotes a finite non-empty set, $ \Omega _ {S} = S ^ {\mathbf Z } $ is the space of all two-sided infinite sequences with elements in $ S $, endowed with the usual product topology (this is just $ C( \mathbf Z , S) $ with its compact-open topology when $ S $ is considered with its discrete topology), and $ \sigma $ is the shift operator by 1, that is, $ ( \sigma x ) _ {n} = x _ {n+} 1 $ for $ x = ( x _ {n} ) _ {n \in \mathbf Z } \in \Omega _ {S} $.
These (discrete) shift systems play an important role in ergodic theory and topological dynamics. For example, a Bernoulli system is a shift system endowed with the product measure on $ S ^ {\mathbf Z } $ defined by a probability measure on $ S $( cf. Bernoulli automorphism). The discrete shift systems and their subsystems (subshifts) are not only used for the construction of special examples (for an important method — substitution — cf. [a6]), they are also important for the study of the behaviour of a large class of cascades by "coding" their trajectories by means of elements of $ \Omega _ {S} $ for a suitable set $ S $( cf. Symbolic dynamics). More recently, it turned out that the methods used for the classification of so-called subshifts of finite type (see [a2]) are useful for information processing; see [a1].
References
[a1] | R.L. Adler, D. Coppersmith, M. Hassner, "Algorithms for sliding block codes" IEEE Trans. Inform. Theory , 29 (1983) pp. 5–22 |
[a2] | R.L. Adler, B. Marcus, "Topological entropy and equivalence of dynamical systems" , Amer. Math. Soc. (1979) |
[a3] | H. Furstenberg, "Recurrence in ergodic theory and combinatorial number theory" , Princeton Univ. Press (1981) |
[a4] | O. Hajek, "Representations of dynamical systems" Funkcial. Ekvac. , 114 (1971) pp. 25–34 |
[a5] | S. Kakutani, "A proof of Bebutov's theorem" J. Differential Equations , 4 (1968) pp. 194–201 |
[a6] | J.C. Martin, "Substitution minimal flows" Amer. J. Math. , 93 (1971) pp. 503–526 |
[a7] | V.V. Nemytskii, V.V. Stepanov, "Qualitative theory of differential equations" , Princeton Univ. Press (1960) (Translated from Russian) |
[a8] | G.R. Sell, "Topological dynamics and ordinary differential equations" , v. Nostrand-Reinhold (1971) |
Shift dynamical system. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Shift_dynamical_system&oldid=48683