玻尔兹曼方程的梯度流方法
A gradient flow approach to the Boltzmann equation
AI总结:
该研究提出空间齐次Boltzmann方程的熵梯度流演化结构,可借助梯度流稳定性为Kac随机游走收敛到该方程提供新证明,丰富了Boltzmann方程的理论分析方法。
摘要:
我们证明,空间齐次Boltzmann方程的演化,是熵相对于概率测度空间上一种考虑了碰撞过程的合适几何结构的梯度流。利用梯度流的稳定性,这种梯度流结构能够为Kac随机游走收敛到齐次Boltzmann方程提供一种新的证明。
英文摘要:
We show that the spatially homogeneous Boltzmann equation evolves as the gradient flow of the entropy with respect to a suitable geometry on the space of probability measures which takes the collision process into account. This gradient flow structure allows to give a new proof for the convergence of Kac's random walk to the homogeneous Boltzmann equation, exploiting the stability of gradient flows.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。