Technology of data collection and information transmission is based on various mathematical models of encoding. The words "Geometry of information" refer to such models, whereas the words "Moufang patterns" refer to various sophisticated symmetries appearing naturally in such models. In this paper we show that the symmetries of spaces of probability distributions, endowed with their canonical Riemannian metric of information geometry, have the structure of a commutative Moufang loop. We also show that the F-manifold structure on the space of probability distribution can be described in terms of differential 3-webs and Malcev algebras. We then present a new construction of (noncommutative) Moufang loops associated to almost-symplectic structures over finite fields, and use then to construct a new class of code loops with associated quantum error-correcting codes and networks of perfect tensors.
翻译:数据收集技术和信息传输技术基于各种编码数学模型。“信息计量学”一词是指这些模型,而“穆凡模式”一词是指这类模型中自然出现的各种复杂的对称。在本文中,我们表明概率分布空间的对称,以其卡通性里伊曼式的信息几何测量尺度为特征,具有一种通俗的Moufang环形结构。我们还表明,概率分布空间上的F-maniflex结构可以用3-webs和Malcev代数来描述。然后我们提出一个新的(非互换性)Moufang环形结构,与有限字段的几乎中位结构相关联,然后用来构建与相关量子错误校正码和完美数子网相联的新型代码循环。