The first kind of mathematics
It studies the inherent laws of mathematical structure itself according to the inherent needs of mathematics or its possible future application, and has no direct connection with other disciplines seeking common ground to solve practical problems.
The second category of mathematics
It focuses on applying mathematical tools to solve practical problems in work and life. In the process of solving problems, the mathematical tool used is basic mathematics.
We call the mathematics learned from primary school to university basic mathematics. Mathematics is a basic subject, and basic mathematics is the foundation of foundation. Its research field is broad and theoretical. Mainly refers to geometry, algebra (including number theory), topology, analysis, equations and some branches of mathematics developed on this basis.
Specific branches include: projective differential geometry, Riemannian geometry, global differential geometry, harmonic analysis and its application, wavelet analysis, partial differential equations, applied differential equations, algebra and so on.
App application
The application of basic mathematics knowledge in economy originates from the development of market economy. With the continuous development of China's market economy, quantitative analysis of various problems in the economic field with mathematical knowledge has become an important part of economic theory. According to analysts' calculations.
During the nearly 30 years from 1969 to 1998, there were 19 Nobel Prize winners who took mathematics as their main research method, accounting for 63.3% of the total Nobel Prize winners. The main reason is that "mathematics" plays a particularly important role in the analysis of economic theory.
Main functions:
1, stating the hypothetical premise in economic research with refined mathematical language, makes people clear at a glance.
2. Use mathematical thinking to demonstrate the main points of economic research, making the organization clearer and more logical.
3. Use a lot of statistical data to make the conclusion of the argument more convincing.