fourierism的音標(biāo)是[?f??ri?r?z?m]，中文翻譯為“傅立葉主義”。基本翻譯為“傅立葉的學(xué)說或理論”，速記技巧可以考慮用諧音法記作“富來熱主義”。

Fourierism這個詞源于法國數(shù)學(xué)家和物理學(xué)家傅立葉（Fourier）的名字，他的理論體系被稱為傅立葉分析或傅立葉熱力學(xué)。

變化形式：Fourierism在英語中通常被簡稱為Fouriority或Fourierianism。

相關(guān)單詞：

1. Fourierism（傅立葉主義）：一種數(shù)學(xué)和物理理論，強調(diào)用數(shù)學(xué)函數(shù)描述熱和力的分布。

2. Fourier analysis（傅立葉分析）：一種數(shù)學(xué)分析方法，用于研究周期性函數(shù)的性質(zhì)。

3. Fourier transform（傅立葉變換）：一種數(shù)學(xué)工具，用于將信號從時域轉(zhuǎn)換到頻域，反之亦然。

4. Fourier series（傅立葉級數(shù)）：一種數(shù)學(xué)工具，用于將周期性函數(shù)展開為無窮級數(shù)的和。

5. heat Fourier law（傅立葉熱力學(xué)）：一種描述熱傳導(dǎo)的定律，基于傅立葉的理論。

6. Fourier"s law of cooling（傅立葉的冷卻定律）：一種描述熱量傳遞的定律，與傅立葉的熱力學(xué)理論相關(guān)。

7. periodic function（周期函數(shù)）：與傅立葉分析相關(guān)的概念，指具有周期性特征的函數(shù)。

8. frequency（頻率）：在傅立葉分析中，頻率是描述周期性函數(shù)特征的重要參數(shù)。

9. phase（相位）：在傅立葉分析中，相位描述了周期性函數(shù)在特定時間點的位置。

10. spectral analysis（譜分析）：一種數(shù)學(xué)工具，用于分析信號的頻率成分和特征，與傅立葉分析相關(guān)。

Fourierism: 常用短語

1. Fourier transform

2. Fourier series

3. Fourier analysis

4. Fourier-Motzkin elimination

5. Fourier-like

6. Fourier-like behavior

7. Fourier-like function

例句：

1. The Fourier transform is a powerful tool for analyzing signals.

2. The Fourier series can be used to approximate any periodic function.

3. The Fourier analysis of a signal can reveal its underlying patterns.

4. We can eliminate the redundant equations using Fourier-Motzkin elimination.

5. The behavior of this system is similar to a Fourier-like function.

6. This phenomenon exhibits Fourier-like behavior, which is characterized by periodic changes.

7. The Fourier-like function is a mathematical model that describes the relationship between two variables.

英文小作文：

Fourierism and its Applications

Fourierism is a mathematical theory that has numerous applications in various fields, including signal processing, physics, and engineering. It provides a powerful tool for analyzing and understanding complex patterns and behaviors in nature and technology. Through Fourierism, we can approximate any periodic function using a series of simple terms, which makes it an ideal tool for modeling and simulating complex systems.

In signal processing, Fourier analysis is used to reveal the underlying patterns and frequencies of a signal, which can help us understand its behavior and detect potential issues. Eliminating redundant equations using Fourier-Motzkin elimination can significantly simplify computational tasks and improve efficiency. Similarly, the behavior of certain systems can be described using Fourier-like functions, which can help us understand their periodic changes and predict their future trends.

Moreover, Fourierism plays an important role in physics, where it is used to describe the interactions between waves and particles, such as sound waves and electromagnetic waves. It also provides a framework for modeling complex systems using mathematical equations, which can help us design and optimize various technologies and systems. Therefore, Fourierism is an essential tool for understanding and exploiting the complex patterns and behaviors of nature and technology.