American Institute of Mathematical Sciences

Advanced
doi: 10.3934/dcds.2020386

Properties of multicorrelation sequences and large returns under some ergodicity assumptions

Andreu Ferré Moragues

Department of Mathematics, Ohio State University, Columbus, OH 43210, USA

Received  June 2020 Revised  September 2020 Published  November 2020

We prove that given a measure preserving system $ (X,\mathcal{B},\mu,T_1,\dots, T_d) $ with commuting, ergodic transformations $ T_i $ such that $ T_iT_j^{-1} $ are ergodic for all $ i \neq j $, the multicorrelation sequence $ a(n) = \int_X f_0 \cdot T_1^nf_1 \cdot \dotso \cdot T_d^n f_d \ d\mu $ can be decomposed as $ a(n) = a_{ \rm{st}}(n)+a_{ \rm{er}}(n) $, where $ a_{ \rm{st}} $ is a uniform limit of $ d $-step nilsequences and $ a_{ \rm{er}} $ is a nullsequence (that is, $ \lim_{N-M \to \infty} \frac{1}{N-M} \sum_{n = M}^{N-1} |a_{ \rm{er}}|^2 = 0 $). Under some additional ergodicity conditions on $ T_1,\dots,T_d $ we also establish a similar decomposition for polynomial multicorrelation sequences of the form $ a(n) = \int_X f_0 \cdot \prod_{i = 1}^dT_i^{p_{i,1}(n)}f_1\cdot\dotso \cdot \prod_{i = 1}^dT_i^{p_{i,k}(n)}f_k \ d\mu $, where each $ p_{i,k}: {\mathbb{Z}} \rightarrow {\mathbb{Z}} $ is a polynomial map. We also show, for $ d = 2 $, that if $ T_1, T_2, T_1T_2^{-1} $ are invertible and ergodic, we have large triple intersections: for all $ \varepsilon>0 $ and all $ A \in \mathcal{B} $, the set $ \{n \in {\mathbb{Z}} : \mu(A \cap T_1^{-n}A \cap T_2^{-n}A)>\mu(A)^3-\varepsilon\} $ is syndetic. Moreover, we show that if $ T_1, T_2, T_1T_2^{-1} $ are totally ergodic, and we denote by $ p_n $ the $ n $-th prime, the set $ \{n \in \mathbb{N} : \mu(A \cap T_1^{-(p_n-1)}A \cap T_2^{-(p_n-1)}A)>\mu(A)^3-\varepsilon\} $ has positive lower density.

Keywords: Multicorrelation sequences, nilsequences, large returns, prime numbers.
Mathematics Subject Classification: Primary: 37A15, 37A30.
Citation: Andreu Ferré Moragues. Properties of multicorrelation sequences and large returns under some ergodicity assumptions. Discrete & Continuous Dynamical Systems - A, doi: 10.3934/dcds.2020386
References:
[1]

V. Bergelson, Weakly mixing PET, Ergodic Theory Dynam. Systems, 7 (1987), 337-349.  doi: 10.1017/S0143385700004090.  Google Scholar

[2]

V. Bergelson, B. Host and B. Kra, Multiple recurrence and nilsequences. With an appendix by Imre Rusza, Invent. Math., 160 (2005), 261-303.  doi: 10.1007/s00222-004-0428-6.  Google Scholar

[3]

V. Bergelson and A. Leibman, Polynomial extensions of van der Waerden's and Szemerédi's theorems, J. Amer. Math. Soc., 9 (1996), 725-753.  doi: 10.1090/S0894-0347-96-00194-4.  Google Scholar

[4]

V. Bergelson and A. Leibman, Cubic averages and large intersections, Recent Trends in Ergodic Theory and Dynamical Systems, Contemp. Math., 631, Amer. Math. Soc., Providence, RI, 5–19. doi: 10.1090/conm/631/12592.  Google Scholar

[5]

V. Bergelson, T. Tao and T. Ziegler, Multiple recurrence and convergence results associated to $\Bbb {F}_p^\omega$-actions, J. Anal. Math., 127 (2015), 329-378.  doi: 10.1007/s11854-015-0033-1.  Google Scholar

[6]

Q. Chu, Multiple recurrence for two commuting transformations, Ergodic Theory Dynam. Systems, 31 (2011), 771-792.  doi: 10.1017/S0143385710000258.  Google Scholar

[7]

S. Donoso, J. Moreira, A. N. Le and W. Sun, Optimal lower bounds for multiple recurrence, Ergodic Theory and Dynamical Systems, (2019), 1–29. doi: 10.1017/etds.2019.72.  Google Scholar

[8]

S. Donoso and W. Sun, Quantitative multiple recurrence for two and three transformations, Israel J. Math., 226 (2018), 71-85.  doi: 10.1007/s11856-018-1690-4.  Google Scholar

[9]

N. Frantzikinakis, Multiple correlation sequences and nilsequences, Invent. Math., 202 (2015), 875-892.  doi: 10.1007/s00222-015-0579-7.  Google Scholar

[10]

N. Frantzikinakis, Multiple ergodic averages for three polynomials and applications, Trans. Amer. Math. Soc., 360 (2008), 5435-5475.  doi: 10.1090/S0002-9947-08-04591-1.  Google Scholar

[11]

N. Frantzikinakis and B. Host, Weighted multiple ergodic averages and correlation sequences, Ergodic Theory Dynam. Systems, 38 (2018), 81-142.  doi: 10.1017/etds.2016.19.  Google Scholar

[12]

N. Frantzikinakis, B. Host and B. Kra, The polynomial multidimensional Szemerédi theorem along shifted primes, Israel J. Math., 194 (2013), 331-348.  doi: 10.1007/s11856-012-0132-y.  Google Scholar

[13]

N. Frantzikinakis and B. Kra, Convergence of multiple ergodic averages for some commuting transformations, Ergodic Theory Dynam. Systems, 25 (2005), 799-809.  doi: 10.1017/S0143385704000616.  Google Scholar

[14]

W. T. Gowers, A new proof of Szemerédi's theorem, Geom. Funct. Anal., 11 (2001), 465-588.  doi: 10.1007/s00039-001-0332-9.  Google Scholar

[15]

J. T. Griesmer, Ergodic Averages, Correlation Sequences, and Sumsets, Ph. D thesis, The Ohio State University, 2009.  Google Scholar

[16]

B. Host, Ergodic seminorms for commuting transformations and applications, Studia Math., 195 (2009), 31-49.  doi: 10.4064/sm195-1-3.  Google Scholar

[17]

B. Host and B. Kra, Nonconventional ergodic averages and nilmanifolds, Ann. of Math., 161 (2005), 397-488.  doi: 10.4007/annals.2005.161.397.  Google Scholar

[18]

B. Host and B. Kra, Nilpotent Structures in Ergodic Theory, Mathematical Surveys and Monographs, 236, American Mathematical Society, Providence, RI, 2018. doi: 10.1090/surv/236.  Google Scholar

[19]

M. C. R. Johnson, Convergence of polynomial ergodic averages of several variables for some commuting transformations, Illinois J. Math., 53 (2009), 865-882.  doi: 10.1215/ijm/1286212920.  Google Scholar

[20]

A. Khintchine, The method of spectral reduction in classical dynamics, Proceedings of the National Academy of Sciences, 19 (1933), 567-573.  doi: 10.1073/pnas.19.5.567.  Google Scholar

[21]

B. O. Koopman and J. von Neumann, Dynamical systems of continuous spectra, Proceedings of the National Academy of Sciences, 18 (1932), 255-263.  doi: 10.1073/pnas.18.3.255.  Google Scholar

[22]

A. Koutsogiannis, A. Le, J. Moreira, and F. K. Richter, Structure of multicorrelation sequences with integer part polynomial iterates along primes, Proc. Amer. Math. Soc. 149 (2021), no. 1,209–216. Google Scholar

[23]

A. N. Le, Nilsequences and multiple correlations along subsequences, Ergodic Theory Dynam. Systems, 40 (2020), 1634-1654.  doi: 10.1017/etds.2018.110.  Google Scholar

[24]

A. Leibman, Multiple polynomial correlation sequences and nilsequences, Ergodic Theory Dynam. Systems, 30 (2010), 841-854.  doi: 10.1017/S0143385709000303.  Google Scholar

[25]

A. Leibman, Nilsequences, null-sequences, and multiple correlation sequences, Ergodic Theory Dynam. Systems, 35 (2015), 176-191.  doi: 10.1017/etds.2013.36.  Google Scholar

[26]

P. Walters, An introduction to Ergodic Theory, Graduate Texts in Mathematics, 79, Springer-Verlag, New York, 1982.  Google Scholar

show all references

References:
[1]

V. Bergelson, Weakly mixing PET, Ergodic Theory Dynam. Systems, 7 (1987), 337-349.  doi: 10.1017/S0143385700004090.  Google Scholar

[2]

V. Bergelson, B. Host and B. Kra, Multiple recurrence and nilsequences. With an appendix by Imre Rusza, Invent. Math., 160 (2005), 261-303.  doi: 10.1007/s00222-004-0428-6.  Google Scholar

[3]

V. Bergelson and A. Leibman, Polynomial extensions of van der Waerden's and Szemerédi's theorems, J. Amer. Math. Soc., 9 (1996), 725-753.  doi: 10.1090/S0894-0347-96-00194-4.  Google Scholar

[4]

V. Bergelson and A. Leibman, Cubic averages and large intersections, Recent Trends in Ergodic Theory and Dynamical Systems, Contemp. Math., 631, Amer. Math. Soc., Providence, RI, 5–19. doi: 10.1090/conm/631/12592.  Google Scholar

[5]

V. Bergelson, T. Tao and T. Ziegler, Multiple recurrence and convergence results associated to $\Bbb {F}_p^\omega$-actions, J. Anal. Math., 127 (2015), 329-378.  doi: 10.1007/s11854-015-0033-1.  Google Scholar

[6]

Q. Chu, Multiple recurrence for two commuting transformations, Ergodic Theory Dynam. Systems, 31 (2011), 771-792.  doi: 10.1017/S0143385710000258.  Google Scholar

[7]

S. Donoso, J. Moreira, A. N. Le and W. Sun, Optimal lower bounds for multiple recurrence, Ergodic Theory and Dynamical Systems, (2019), 1–29. doi: 10.1017/etds.2019.72.  Google Scholar

[8]

S. Donoso and W. Sun, Quantitative multiple recurrence for two and three transformations, Israel J. Math., 226 (2018), 71-85.  doi: 10.1007/s11856-018-1690-4.  Google Scholar

[9]

N. Frantzikinakis, Multiple correlation sequences and nilsequences, Invent. Math., 202 (2015), 875-892.  doi: 10.1007/s00222-015-0579-7.  Google Scholar

[10]

N. Frantzikinakis, Multiple ergodic averages for three polynomials and applications, Trans. Amer. Math. Soc., 360 (2008), 5435-5475.  doi: 10.1090/S0002-9947-08-04591-1.  Google Scholar

[11]

N. Frantzikinakis and B. Host, Weighted multiple ergodic averages and correlation sequences, Ergodic Theory Dynam. Systems, 38 (2018), 81-142.  doi: 10.1017/etds.2016.19.  Google Scholar

[12]

N. Frantzikinakis, B. Host and B. Kra, The polynomial multidimensional Szemerédi theorem along shifted primes, Israel J. Math., 194 (2013), 331-348.  doi: 10.1007/s11856-012-0132-y.  Google Scholar

[13]

N. Frantzikinakis and B. Kra, Convergence of multiple ergodic averages for some commuting transformations, Ergodic Theory Dynam. Systems, 25 (2005), 799-809.  doi: 10.1017/S0143385704000616.  Google Scholar

[14]

W. T. Gowers, A new proof of Szemerédi's theorem, Geom. Funct. Anal., 11 (2001), 465-588.  doi: 10.1007/s00039-001-0332-9.  Google Scholar

[15]

J. T. Griesmer, Ergodic Averages, Correlation Sequences, and Sumsets, Ph. D thesis, The Ohio State University, 2009.  Google Scholar

[16]

B. Host, Ergodic seminorms for commuting transformations and applications, Studia Math., 195 (2009), 31-49.  doi: 10.4064/sm195-1-3.  Google Scholar

[17]

B. Host and B. Kra, Nonconventional ergodic averages and nilmanifolds, Ann. of Math., 161 (2005), 397-488.  doi: 10.4007/annals.2005.161.397.  Google Scholar

[18]

B. Host and B. Kra, Nilpotent Structures in Ergodic Theory, Mathematical Surveys and Monographs, 236, American Mathematical Society, Providence, RI, 2018. doi: 10.1090/surv/236.  Google Scholar

[19]

M. C. R. Johnson, Convergence of polynomial ergodic averages of several variables for some commuting transformations, Illinois J. Math., 53 (2009), 865-882.  doi: 10.1215/ijm/1286212920.  Google Scholar

[20]

A. Khintchine, The method of spectral reduction in classical dynamics, Proceedings of the National Academy of Sciences, 19 (1933), 567-573.  doi: 10.1073/pnas.19.5.567.  Google Scholar

[21]

B. O. Koopman and J. von Neumann, Dynamical systems of continuous spectra, Proceedings of the National Academy of Sciences, 18 (1932), 255-263.  doi: 10.1073/pnas.18.3.255.  Google Scholar

[22]

A. Koutsogiannis, A. Le, J. Moreira, and F. K. Richter, Structure of multicorrelation sequences with integer part polynomial iterates along primes, Proc. Amer. Math. Soc. 149 (2021), no. 1,209–216. Google Scholar

[23]

A. N. Le, Nilsequences and multiple correlations along subsequences, Ergodic Theory Dynam. Systems, 40 (2020), 1634-1654.  doi: 10.1017/etds.2018.110.  Google Scholar

[24]

A. Leibman, Multiple polynomial correlation sequences and nilsequences, Ergodic Theory Dynam. Systems, 30 (2010), 841-854.  doi: 10.1017/S0143385709000303.  Google Scholar

[25]

A. Leibman, Nilsequences, null-sequences, and multiple correlation sequences, Ergodic Theory Dynam. Systems, 35 (2015), 176-191.  doi: 10.1017/etds.2013.36.  Google Scholar

[26]

P. Walters, An introduction to Ergodic Theory, Graduate Texts in Mathematics, 79, Springer-Verlag, New York, 1982.  Google Scholar

[1]

Vieri Benci, Marco Cococcioni. The algorithmic numbers in non-archimedean numerical computing environments. Discrete & Continuous Dynamical Systems - S, 2020  doi: 10.3934/dcdss.2020449
[2]

Emre Esentürk, Juan Velazquez. Large time behavior of exchange-driven growth. Discrete & Continuous Dynamical Systems - A, 2021, 41 (2) : 747-775. doi: 10.3934/dcds.2020299
[3]

Stefan Ruschel, Serhiy Yanchuk. The spectrum of delay differential equations with multiple hierarchical large delays. Discrete & Continuous Dynamical Systems - S, 2021, 14 (1) : 151-175. doi: 10.3934/dcdss.2020321
[4]

Wenmeng Geng, Kai Tao. Large deviation theorems for dirichlet determinants of analytic quasi-periodic jacobi operators with Brjuno-Rüssmann frequency. Communications on Pure & Applied Analysis, 2020, 19 (12) : 5305-5335. doi: 10.3934/cpaa.2020240
[5]

Annegret Glitzky, Matthias Liero, Grigor Nika. Dimension reduction of thermistor models for large-area organic light-emitting diodes. Discrete & Continuous Dynamical Systems - S, 2020  doi: 10.3934/dcdss.2020460
[6]

Yongxiu Shi, Haitao Wan. Refined asymptotic behavior and uniqueness of large solutions to a quasilinear elliptic equation in a borderline case. Electronic Research Archive, , () : -. doi: 10.3934/era.2020119

2019 Impact Factor: 1.338

Tools

Metrics

  • PDF downloads (10)
  • HTML views (38)
  • Cited by (0)

Other articles
by authors

[Back to Top]

Copyright © 2020 American Institute of Mathematical Sciences