多项式方程半混合系统的Khovanskii基。近似平稳非线性牛顿动力学

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-12-06 DOI:10.1016/j.matpur.2023.12.005
Viktoriia Borovik , Paul Breiding , Javier del Pino , Mateusz Michałek , Oded Zilberberg
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引用次数: 0

摘要

我们提供了一种计算多项式系统根的方法,其中每个多项式是规定的固定多项式的一般线性组合。我们的工具依赖于Khovanskii基理论,结合了环形几何、Bernstein-Khovanskii-Kushnirenko (BKK)定理和纤维产品。作为该理论的直接应用,我们解决了耦合驱动非线性谐振器近似稳态数的计算问题。我们建立了一个多项式方程系统,它依赖于三个数字N, N和M,其解是固定状态的模型。参数N是耦合谐振器的数目,2n−1是底层微分方程的非线性程度,M是用于近似的频率的数目。我们使用我们的主要定理,即广义BKK定理2.5和解耦定理3.8,来计算任意程度的非线性2n−1≥3,任意数量的谐振子N≥1,M=1谐波的多项式系统的(复)解的个数。我们还解决了N=1, N= 2和M=2的情况,并给出了一种计算方法来检查N=1, N= 2和M>2的解的个数。这扩展了[1]的结果。
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Khovanskii bases for semimixed systems of polynomial equations – Approximating stationary nonlinear Newtonian dynamics

We provide an approach to counting roots of polynomial systems, where each polynomial is a general linear combination of prescribed, fixed polynomials. Our tools rely on the theory of Khovanskii bases, combined with toric geometry, the Bernstein–Khovanskii–Kushnirenko (BKK) Theorem, and fiber products.

As a direct application of this theory, we solve the problem of counting the number of approximate stationary states for coupled driven nonlinear resonators. We set up a system of polynomial equations that depends on three numbers N,n and M and whose solutions model the stationary states. The parameter N is the number of coupled resonators, 2n1 is the degree of nonlinearity of the underlying differential equation, and M is the number of frequencies used in the approximation. We use our main theorems, that is, the generalized BKK Theorem 2.5 and the Decoupling Theorem 3.8, to count the number of (complex) solutions of the polynomial system for an arbitrary degree of nonlinearity 2n13, any number of resonators N1, and M=1 harmonic. We also solve the case N=1,n=2 and M=2 and give a computational way to check the number of solutions for N=1,n=2 and M>2. This extends the results of [1].

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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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