monovariant system

简明释义

单变系

英英释义

A monovariant system is a system characterized by a single variable or parameter that defines its state or behavior, often used in contexts such as physics or engineering.

单变量系统是指由一个变量或参数定义其状态或行为的系统,通常用于物理或工程等领域。

例句

1.In control theory, a monovariant system 单变量系统 can be easier to manage than a multivariable one.

在控制理论中,一个单变量系统 monovariant system比多变量系统更易于管理。

2.Researchers focused on a monovariant system 单变量系统 to simplify their calculations and improve accuracy.

研究人员专注于一个单变量系统 monovariant system,以简化计算并提高准确性。

3.The software was designed to model a monovariant system 单变量系统 for predicting financial outcomes based on a single variable.

该软件旨在建模一个单变量系统 monovariant system,以根据单一变量预测财务结果。

4.The student created a simulation of a monovariant system 单变量系统 to study the relationship between speed and distance.

学生创建了一个单变量系统 monovariant system的模拟,以研究速度和距离之间的关系。

5.In a physics experiment, we analyzed a monovariant system 单变量系统 to observe the effects of temperature changes on gas pressure.

在一次物理实验中,我们分析了一个单变量系统 monovariant system,以观察温度变化对气体压力的影响。

作文

In the realm of science and mathematics, systems are often categorized based on the number of variables they involve. One such classification is the monovariant system, which refers to a system characterized by a single variable. Understanding the concept of a monovariant system is crucial for students and professionals alike, as it lays the foundation for more complex systems that incorporate multiple variables.A monovariant system can be illustrated through various examples in different fields. In physics, consider the motion of an object under constant acceleration. The position of the object can be described by a single variable, such as time. As time progresses, the position of the object changes according to a specific equation, which is dependent solely on this one variable. This simplicity allows for straightforward calculations and predictions, making it easier to grasp fundamental concepts in kinematics.In economics, a monovariant system might be represented by the relationship between supply and demand in a simplified market model. Here, price can be treated as the single variable affecting both supply and demand. By analyzing how changes in price influence these two aspects, economists can derive insights into market behavior. Although real-world markets are influenced by numerous factors, starting with a monovariant system helps in building foundational economic theories.The beauty of a monovariant system lies in its simplicity. It allows researchers and students to focus on the relationship between the single variable and the outcome without the complications introduced by additional variables. This clarity is particularly beneficial in educational settings, where learners are first introduced to the principles of modeling and analysis. By mastering monovariant systems, students can develop a strong analytical framework that will serve them well when they encounter multivariable systems later on.However, it is essential to recognize the limitations of a monovariant system. While it provides valuable insights, real-world phenomena are rarely governed by a single variable. For instance, in environmental science, factors such as temperature, humidity, and pollution levels all interact in complex ways to affect climate change. Thus, while a monovariant system can offer a starting point for understanding certain dynamics, it must eventually be expanded to include additional variables for a more comprehensive analysis.In conclusion, the concept of a monovariant system serves as a vital building block in various disciplines, from physics to economics. By focusing on a single variable, it enables clearer understanding and analysis of relationships within a system. However, as we progress in our studies and professional endeavors, we must also be prepared to transition to more complex, multivariable systems that better reflect the intricacies of the real world. Embracing both the simplicity of a monovariant system and the complexity of multivariable interactions will ultimately enhance our understanding and problem-solving capabilities in diverse fields.

在科学和数学的领域,系统通常根据所涉及的变量数量进行分类。其中一种分类是单变量系统,指的是一个以单一变量为特征的系统。理解单变量系统的概念对于学生和专业人士来说至关重要,因为它为包含多个变量的更复杂系统奠定了基础。单变量系统可以通过不同领域的各种例子来说明。在物理学中,考虑一个在恒定加速度下运动的物体。物体的位置可以用一个单一变量,例如时间,来描述。随着时间的推移,物体的位置根据特定的方程式变化,这个方程仅依赖于这个一个变量。这种简单性使得计算和预测变得更加直接,从而使人们更容易掌握运动学中的基本概念。在经济学中,单变量系统可能通过简化市场模型中的供给和需求关系来表示。在这里,价格可以被视为影响供给和需求的单一变量。通过分析价格变化如何影响这两个方面,经济学家可以获得对市场行为的洞察。尽管现实世界的市场受到众多因素的影响,但从单变量系统开始,有助于建立基础经济理论。单变量系统的美在于其简单性。它使研究人员和学生能够专注于单一变量与结果之间的关系,而不必考虑额外变量带来的复杂性。这种清晰性在教育环境中特别有益,因为学习者首次接触建模和分析的原则。通过掌握单变量系统,学生可以发展出强大的分析框架,这将帮助他们在后续遇到多变量系统时表现出色。然而,认识到单变量系统的局限性也至关重要。虽然它提供了宝贵的见解,但现实世界的现象很少仅由一个变量支配。例如,在环境科学中,温度、湿度和污染水平等因素相互作用,以复杂的方式影响气候变化。因此,虽然单变量系统可以为理解某些动态提供起点,但最终必须扩展以包括更多变量,以便进行更全面的分析。总之,单变量系统的概念在物理学到经济学等各个学科中都是一个重要的基础构件。通过关注单一变量,它能够更清晰地理解和分析系统内的关系。然而,随着我们在学习和专业事业中的进步,我们也必须准备好过渡到更复杂的多变量系统,这些系统更好地反映了现实世界的复杂性。拥抱单变量系统的简单性与多变量交互的复杂性,最终将增强我们在各个领域的理解和解决问题的能力。