Research article

Complete convergence and complete integral convergence for weighted sums of arrays of rowwise m-AANA random variables under sublinear expectations

  • Published: 28 October 2026
  • MSC : 60F15

  • In the framework of sublinear expectations, we investigated weighted sums of arrays of rowwise m-asymptotically almost negatively associated (m-AANA) random variables. By applying truncation techniques for random variables, moment inequalities for m-AANA sequences, and properties of the Choquet integral, we established complete convergence and complete integral convergence theorems for such weighted sums under suitable moment conditions and tail-control conditions. The results applied to terminal sums of finite rows with nonnegative deterministic weights satisfying the stated maximal-weight summability condition. For rows of length n, this condition excluded weights whose sum was one. Within this scope, the results complemented existing convergence theorems for dependent arrays under sublinear expectations.

    Citation: Zhiqiang Tang, Mengke Lv, Wei Liu. Complete convergence and complete integral convergence for weighted sums of arrays of rowwise m-AANA random variables under sublinear expectations[J]. AIMS Mathematics, 2026, 11(10): 35335-35365. doi: 10.3934/math.20261372

    Related Papers:

  • In the framework of sublinear expectations, we investigated weighted sums of arrays of rowwise m-asymptotically almost negatively associated (m-AANA) random variables. By applying truncation techniques for random variables, moment inequalities for m-AANA sequences, and properties of the Choquet integral, we established complete convergence and complete integral convergence theorems for such weighted sums under suitable moment conditions and tail-control conditions. The results applied to terminal sums of finite rows with nonnegative deterministic weights satisfying the stated maximal-weight summability condition. For rows of length n, this condition excluded weights whose sum was one. Within this scope, the results complemented existing convergence theorems for dependent arrays under sublinear expectations.



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