Linear algebra belongs to the category of mathematics and is a business course for postgraduate entrance examination. If you don't take the English major, mathematics is generally a compulsory course. In short, as long as you don't take the English major, you basically have to take the math exam, so the line generation naturally has to take the exam.
Data expansion
Linear algebra (English: linear algebra) is a branch of mathematics about vector space and linear mapping. It includes the study of lines, surfaces and subspaces, and also involves the general properties of all vector spaces.
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Modern linear algebra has been extended to study arbitrary or infinite dimensional space. A vector space with dimension n is called an n-dimensional space. Most useful conclusions in 2D and 3D spaces can be extended to these high-dimensional spaces.
Vector space (linear space), as a purely abstract concept used to prove theorems, is a part of abstract algebra and has been well integrated into this field. The set of all these transformations is itself a vector space.
Application category
Linear algebra is the core of pure mathematics and applied mathematics. For example, relaxing the axiom of vector space produces abstract algebra, and some generalizations appear. Functional analysis studies the vector space theory of infinite dimensional case. The combination of linear algebra and calculus makes it more convenient to solve linear differential equations. The theory of linear algebra has been extended to operator theory.
The method of linear algebra is also used to analyze geometry, engineering, physics, natural science, computer science, computer animation and social science (especially economics). Because linear algebra is a perfect theory, nonlinear mathematical models can usually be approximated as linear models.