吉林大学学报(理学版) ›› 2026, Vol. 64 ›› Issue (5): 958-0966.

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次线性期望下m-AANA序列线性过程的强大数定律

刘微, 吕梦珂, 苗利军   

  1. 辽宁师范大学 数学学院, 辽宁 大连 116029
  • 收稿日期:2025-12-12 出版日期:2026-09-26 发布日期:2026-09-26
  • 通讯作者: 吕梦珂 E-mail:15098365708@163.com

Strong Law of Large Numbers for Linear Processes of m-AANA Sequences under Sublinear Expectations

Liu Wei, Lü Mengke, Miao Lijun   

  1. School of Mathematics, Liaoning Normal University, Dalian 116029, Liaoning Province, China
  • Received:2025-12-12 Online:2026-09-26 Published:2026-09-26

摘要: 在次线性期望框架下, 对于以m-渐近几乎负相依(m-AANA)随机变量序列作为创新项构造的线性过程, 结合次线性期望空间中的概率不等式、 Toeplitz定理与Borel-Cantelli引理, 在线性过程的系数列绝对可求和与创新项满足一致矩条件的假设下, 给出该线性过程的强大数定律.

关键词: 强大数定律, m-AANA随机变量序列, 线性过程, 次线性期望

Abstract: Within the framework of sublinear expectations, for linear processes constructed by m-asymptotically almost negatively associated (m-AANA) random variable sequences as innovations, combined with probabilistic inequalities in sublinear expectation space, the Toeplitz theorem and the Borel-Cantelli lemma, and under the assumptions that the coefficient sequence of the linear process is absolutely summable and that the innovations satisfy a uniform moment condition, we give the strong law of large numbers for this linear process.

Key words: strong law of large numbers, m-AANA random variable sequence, linear process, sublinear expectation

中图分类号: 

  • O211.4