Abstract
A more general notion of weight called admissible is introduced and then an investigation is carried out on the a.e. convergence of weighted strong laws of large numbers and their applications to weighted ergodic averages on vector-valued \(L_p\)-spaces.
Similar content being viewed by others
References
Aistleitner, C.: Convergence of $\sum c_kf(kx)$ and the Lip $\alpha $ class. Proc. Am. Math. Soc. 140, 3893–3903 (2012)
Akhmedov, A., Comez, D.: Good modulating sequences for the ergodic Hilbert transform. Turk. J. Math. 39, 124–138 (2015)
Assani, I.: Strong laws for weighted sums of independent identically distributed random variables. Duke Math. J. 88, 217–246 (1997)
Assani, I.: A weighted pointwise ergodic theorem. Ann. Inst. H. Poincare Probab. Stat. 34, 139–150 (1998)
Assani, I., Lin, M.: On the one-sided Hilbert transform. Contemp. Math. 430, 21–39 (2007)
Baum, L., Katz, M.: Convergence rates in the law of large numbers. Trans. Am. Math. Soc. 120, 108–123 (1965)
Berend, D., Lin, M., Rosenblatt, J., Tempelman, A.: Modulated and subsequential ergodic theorems in Hilbert and Banach spaces. Ergod. Theory Dyn. Syst. 22, 1653–1665 (2002)
Berkes, I., Weber, M.: On series $\sum c_kf(n_kx)$. Mem. Am. Math. Soc. 201(943) (2009), 72 p.
Bernardis, A.L., Martin-Reyes, F.J., Gavilvan, M.D.S.: The ergodic Hilbert transform in the Cesro-$\alpha $ sense for invertible Lamperti operators. Q. J. Math. Oxf. Ser. 50, 389–399 (1999)
Boukhari, F., Malti, D.: Convergence of series of strongly integrable random variables and applications. Stat. Probab. Lett. 137, 191–200 (2018)
Boukhari, F., Weber, M.: Almost sure convergence of weighted series of contractions. Ill. J. Math. 46, 1–21 (2002)
Chevallier, N., Cohen, G., Conze, J.-P.: On the convergence of the rotated one-sided ergodic Hilbert transform. Positivity 15, 253–270 (2011)
Cohen, G., Lin, M.: Laws of large numbers with rates and the one-sided ergodic Hilbert transform. Ill. J. Math. 47, 997–1031 (2003)
Cohen, G., Lin, M.: Extensions of the Menchoff–Rademacher theorem with applications to ergodic theory. Isr. J. Math. 148, 41–86 (2005)
Cohen, G., Lin, M.: The one-sided ergodic Hilbert transform of normal contractions. In book: D. Alpay, V. Vinnikov (Eds), Characteristic Functions. Scattering Functions and Transfer Functions, pp. 77–98. Birkhauser, Basel (2009)
Cohen, G., Cuny, C., Lin, M.: The one-sided ergodic Hilbert transform in Banach spaces. Stud. Math. 196, 251–263 (2010)
Comez, D.: The ergodic Hilbert transform for admissible processes. Can. Math. Bull. 49, 203–212 (2006)
Cotlar, M.: A unified theory of Hilbert transforms and ergodic theorems. Rev. Mat. Cuyana 1, 105–167 (1955)
Cuny, C.: On the a.s. convergence of the one-sided ergodic Hilbert transform. Ergod. Theory Dyn. Syst. 29, 1781–1788 (2009)
Cuny, C.: Almost everywhere convergence of generalized ergodic transforms for invertible power-bounded operators in $L_p$. Colloq. Math. 124, 61–77 (2011)
Darwiche, A., Schneider, D.: Convergence of weighted ergodic averages. arXiv:2007.01119
Derriennic, Y., Lin, M.: Fractional Poisson equations and ergodic theorems for fractional coboundaries. Isr. J. Math. 123, 93–130 (2001)
Diestel, J., Uhl, J.J.: Vector Measures. Mathematical Surveys and Monographs. American Mathematical Society, Providence (1977)
Dunford, N., Schwartz, J.T.: Linear Operators I. General Theory. Interscience Publishers, New York (1964)
Durand, F., Schneider, D.: Ergodic averages with deterministic weights. Ann. Inst. Fourier 52, 561–583 (2002)
Etemadi, N.: Stability of sums of weighted nonnegative random variables. J. Multivar. Anal. 13, 361–365 (1983)
Fan, A.H.: Almost everywhere convergence of ergodic series. Ergod. Theory Dyn. Syst. 37, 490–511 (2017)
Fan, A.H.: Weighted Birkhoff ergodic theorem with oscillating weights. Ergod. Theory Dyn. Syst. 39, 1275–1289 (2019)
Gaposhkin, V.: On the dependence of the convergence rate in the SLLN for stationary processes on the rate of decay of the correlation function. Theory Probab. Appl. 26, 706–720 (1981)
Gaposhkin, V.: Spectral criteria for existence of generalized ergodic transforms. Theory Probab. Appl. 41, 247–264 (1996)
Halmos, P.: A nonhomogeneous ergodic theorem. Trans. Am. Math. Soc. 66, 284–288 (1949)
Jamison, B., Orey, S., Pruitt, W.: Convergence of weighted averages of independent random variables. Z. Wahrscheinlichkeitstheorie Verw. Geb. 4, 40–44 (1965)
Krengel, U.: Ergodic Theorems. de Gruyter, Berlin (1985)
Lesigne, E.: Un theoreme de disjonction de systémes dynamiques et une generalisation du theoreme ergodique de Wiener–Wintner. Ergod. Theory Dyn. Syst. 10, 513–521 (1990)
Lin, M., Weber, M.: Weighted ergodic theorems and strong laws of large numbers. Ergod. Theory Dyn. Syst. 27, 511–543 (2007)
Lin, M., Olsen, J., Tempelman, A.: On modulated ergodic theorems for Dunford–Schwartz operators. Ill. J. Math. 43, 542–567 (1999)
Marcus, M.B., Piseer, G.: Random Fourier Series with Applications to Harmonic Analysis, Ann. Math. Studies. Princeton University Press, Princeton (1981)
Moricz, F.: Moment inequalities and the strong laws of large numbers. Z. Wahrscheinlichkeitstheorie Verw. Geb. 35, 299–314 (1976)
Moricz, F., Tandori, K.: Almost everywhere convergence of orthogonal series revisited. J. Math. Anal. Appl. 182, 637–653 (1994)
Mukhamedov, F., Rafeiro, H.: Weighted strong laws of large numbers on vector-valued variable exponent Lebesgue spaces. Rend. Lincei Mat. Appl. 31(4), 791–814 (2020)
Peskir, G., Schneider, D., Weber, M.: Randomly weighted series of contractions in Hilbert spaces. Math. Scand. 79, 263–282 (1996)
Riesz, F., Sz.-Nagy, B.: Lecons d’analyse fonctionnelle. Akademiai Kiado, Budapest (1955)
Rosenblatt, J.: Almost everywhere convergence of series. Math. Ann. 280, 565–577 (1988)
Weber, M.: Estimating random polynomials by means of metric entropy methods. Math. Inequal. Appl. 3, 443–457 (2000)
Zygmund, A.: Trigonometric Series, 2nd edn. Cambridge University Press, Cambridge (1968)
Acknowledgements
The author thanks the UAEU UPAR Grant No. G00003247 (Fund. 31S391) for support.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Timur Oikhberg.
Appendices
Appendix A: Examples of admissible weighted
In this section, we provide some examples of admissible weights (see [40]).
Example A.1
Let \(G_n=n^{1-\beta }\), for some \(\beta \in (0,1]\) and \(p>1\). Define a weight \(\{W_n\}\) by \(W_n=n^{1-\delta }\) with \(\delta \in [0,\frac{p-1}{p}\beta )\). Let us set \(n_k=[k^r]+1\), where \(r=1/\beta\). Then, \(\{W_n\}\) is \((p,\{n_k\})\)-admissible. Indeed, one has
since \(pr(\beta -\delta )=(1-r\delta )p>1\). Hence, the condition (2.1) is satisfied. Let us check (2.2). From the definition of the sequences, one gets
Hence,
which, due to the choice of \(\delta\), implies (2.2). We point out that this kind of weight was considered in [13]
Example A.2
Let \({{\tilde{G}}}_n=n^{1-\beta }\ln ^\gamma n\), for some \(\beta \in (0,1]\), \(\gamma \ge 1\) and \(p>1\). Then a weight given by \({{\tilde{W}}}_n=n^{1-\delta }\ln ^\gamma n\) with \(\delta \in [0,\frac{p-1}{p}\beta )\) is \((p,\{n_k\})\)-admissible w.r.t. \(\{{{\tilde{G}}}_n\}\), here as before, \(n_k=[k^r]+1\), where \(r=1/\beta\). Using the same argument as in Example A.1, we easily obtain (2.1). Now according to (A.2), one finds
and we arrive at (2.2).
Example A.3
Let \(R_n=\frac{n^{1-\beta }}{\ln ^\alpha n}\), for some \(\beta \in (0,1]\), \(\alpha \ge 1\) and \(p>1\). Then a weight given by \(U_n=\frac{n^{1-\delta }}{\ln ^\alpha n}\) with \(\delta \in [0,\frac{p-1}{p}\beta )\) is \((p,\{n_k\})\)-admissible w.r.t. \(\{R_n\}\), where \(n_k=[k^r]+1\), \(r=1/\beta\). One can check that (2.1) is easily satisfied. Again using (A.2), we obtain
One can check that the series
converges, if \(pr(1-\delta )>1\). Hence, the condition (2.2) is satisfied.
Example A.4
Now we are going to provide a more general example. Let \(\{G_n\}\) be a weight such that
for some \(\epsilon >0\) and \(p>1\). Then a sequence \(\{W_n\}\) is given by
Now, define the sequence \(\{n_k\}\) as follows:
Then \(\{W_n\}\) is \((p,\{n_k\})\)-admissible w.r.t. \(\{G_n\}\). Indeed,
which yields (2.1). Let us check the second condition. One has
This implies the condition (2.2).
For instance, if we takes \(G_n=n^{1/p}(\ln n)^{\beta +1/p}(\ln \ln n)^\gamma\) (with \(\beta ,\gamma >0\), \(p>1\)), then
hence, \(W_n=G_n^2\) is \((p,\{n_k\})\)-admissible.
Appendix B: More examples with condition (3.8)
Let us consider some examples for which all the above noticed conditions are satisfied.
Example B.1
Let \(\{G_n\}\) and \(\{W_n\}\) be weights considered in Example A.1, i.e. \(G_n=n^{1-\beta }\), \(W_n=n^{1-\delta }\), where \(\beta \in (0,1]\), \(p>1\) and \(\delta \in [0,\frac{p-1}{p}\beta )\). One can see that
due to \(\beta -\delta <1\), we infer \(\sum _{k=1}^\infty \frac{G_k}{W_k}=\infty\), while (3.8) is satisfied. Indeed,
One can see that \(1+\beta -\delta >1\), therefore,
Example B.2
Let \(\{R_n\}\) and \(\{U_n\}\) be weights considered in Example A.3, i.e. \(R_n=\frac{n^{1-\beta }}{\ln ^\alpha n}\), \(U_n=\frac{n^{1-\delta }}{\ln ^\alpha n}\), where \(\beta \in (0,1]\), \(\alpha \ge 1\), \(p>1\) and \(\delta \in [0,\frac{p-1}{p}\beta )\). It is clear that
On the other hand, we have
Hence, the series
converges.
Example B.3
Let us provide an other example of p-admissible weight. We are going to establish that the weight considered in Example 2.1 is indeed p-admissible.
Let \(G_n=(\ln n)^{\beta +1/p}(\ln \ln n)^\gamma\) with \(\beta >0\), \(\gamma \ge 1\), and \(n_m=[m^r]+1\), \(r=1/\alpha\) with \(\alpha \in (0,1]\). Define
Then \(\{W_n\}\) is p-admissible w.r.t. \(\{G_n\}\). Indeed, we first note that
therefore
Furthermore, using the same argument of Example A.1
where \(\tau =(p-\delta )/p\). Hence,
Consequently, if \((1-r\tau )p\ge 1\), i.e. \(\delta \ge p(1-\alpha )+1\), the series
converges. So, \(\{W_n\}\) is p-admissible w.r.t. \(\{G_n\}\).
Let us establish that the weights \(\{G_n\}\) and \(\{W_n\}\) satisfy the condition (3.8). For the sake of simplicity, we assume that \(\delta =1\). Then
Now considering the derivative of \(\psi (x)=x^{1/p}(\ln x)^{\beta +1/p}(\ln \ln x)^\gamma\), we can estimate RHS of (B.1) as follows
for some constant. This implies the convergence of the series
Rights and permissions
About this article
Cite this article
Mukhamedov, F. Weighted laws of large numbers and convergence of weighted ergodic averages on vector valued \(L_p\)-spaces. Adv. Oper. Theory 6, 57 (2021). https://doi.org/10.1007/s43036-021-00153-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s43036-021-00153-2