沿密度流的矩阵位移凸度

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-27 DOI:10.1007/s00205-024-02021-8
Yair Shenfeld
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引用次数: 0

摘要

针对均场博弈、可压缩欧拉方程、熵插值和非线性薛定谔方程的半经典极限所产生的密度流,提出了矩阵级位移凸性的新概念。矩阵位移凸性比经典的位移凸性概念更强,其验证(正式和严格的)依赖于沿密度流的矩阵微分不等式。这些微分不等式的矩阵性质将维度函数不等式升级为其内在维度对应不等式,从而改进了许多经典结果。其应用包括岔道特性、演化变分不等式和熵增长边界,它们捕捉了密度流沿空间不同方向的行为。
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Matrix Displacement Convexity Along Density Flows

A new notion of displacement convexity on a matrix level is developed for density flows arising from mean-field games, compressible Euler equations, entropic interpolation, and semi-classical limits of non-linear Schrödinger equations. Matrix displacement convexity is stronger than the classical notions of displacement convexity, and its verification (formal and rigorous) relies on matrix differential inequalities along the density flows. The matrical nature of these differential inequalities upgrades dimensional functional inequalities to their intrinsic dimensional counterparts, thus improving on many classical results. Applications include turnpike properties, evolution variational inequalities, and entropy growth bounds, which capture the behavior of the density flows along different directions in space.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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