We study real steady state varieties of the dynamics of chemical reaction networks. The dynamics are derived using mass action kinetics with parametric reaction rates. The models studied are not inherently parametric in nature. Rather, our interest in parameters is motivated by parameter uncertainty, as reaction rates are typically either measures with limited precision or estimated. We aim at detecting toricity and shifted toricity, using a framework that has been recently introduced and studied for the non-parametric case over both the reals and the complex numbers. While toricity requires that the variety specifies a subgroup of the direct power of the multiplicative group of the underlying field, shifted toricity requires only a coset. In the presence of parameters, we are not faced with decision problems anymore. Instead, we derive necessary and sufficient conditions in the parameters for toricity or shifted toricity to hold. Technically, we use real quantifier elimination methods. Our computations on biological networks here once more confirm shifted toricity as a relevant concept, while toricity holds only for degenerate parameter choices.
翻译:我们研究的是化学反应网络动态的真正稳定状态的种类。 动态是使用质量动作动能和参数反应率来生成的。 所研究的模型本质上不是参数性的参数。 相反, 我们对于参数的兴趣是由参数不确定性驱动的, 因为反应率通常是有限的精确度或估计值。 我们的目标是检测离谱性, 并转换到非参数性, 使用最近引入并研究过的框架, 对真实数和复杂数进行非参数性研究。 虽然相对性要求这些多样性指定了基础领域多复制性组的直接力量的分组, 转移到相对性只需要一个复位。 在存在参数的情况下, 我们不再面临决定问题。 相反, 我们从技术角度出发, 我们使用真实的量化消除方法。 我们在这里的生物网络的计算方法再次证实转而是一个相关的概念, 而相对性只能用于退化参数的选择。