Graduate mathematics classification:

There are three kinds of mathematics examination papers for postgraduate entrance examination: one is engineering and the other is mathematics; Mathematics three is aimed at economic management; In addition to the first three unified mathematics papers, there are also mathematics (agriculture) and self-proposition science mathematics of enrollment units.

The difficulty of postgraduate mathematics:

The math test is more comprehensive, with high numbers, line generation, introduction and difficult questions. Count two needs no introduction, and the topic is easier than count one. The number three exam is also very comprehensive, and the difficulty of the topic is not much simpler than the number one.

Some people think that counting one is much more difficult than counting three, but it is not. We pay attention to different fields, so the difficulty cannot be compared. The number one topic involves a wide range, and sometimes it requires thinking in images, and the difficulty is not low. Although the outline of the number three is less than the number one, the topic is very detailed and the difficulty is not as simple as imagined.

Contents of the first, second and third exams for the postgraduate entrance examination in mathematics:

Mathematics (1):

1, advanced mathematics (function, limit, continuity, differential calculus of univariate function, integral calculus of univariate function, vector algebra and spatial analytic geometry, differential calculus of multivariate function, integral calculus of multivariate function, infinite series, ordinary differential equation).

2. Linear algebra (determinant, matrix, vector, linear equations, eigenvalue and eigenvector of matrix, quadratic form).

3. Probability theory and mathematical statistics (random events and probability, random variables and their probability distribution, multidimensional random variables and their distribution, numerical characteristics of random variables, law of large numbers and central limit theorem, basic concepts of mathematical statistics, parameter estimation and hypothesis testing).

Mathematics (2):

1, advanced mathematics (function, limit, continuity, differential calculus of univariate function, integral calculus of univariate function, differential calculus of multivariate function, ordinary differential equation).

2. Linear algebra (determinant, matrix, vector, linear equations, eigenvalue and eigenvector of matrix, quadratic form).

Mathematics (3):

1, calculus (function and limit, derivative and differential, differential mean value theorem and application of derivative, indefinite integral, definite integral, application of definite integral, differential equation, differential method of multivariate function and its application, multiple integral, infinite series).

2. Linear algebra (determinant, matrix, vector, linear equations, eigenvalue and eigenvector of matrix, quadratic form).

3. Probability theory and mathematical statistics (random events and probability, random variables and their probability distribution, joint probability distribution of random variables, numerical characteristics of random variables, law of large numbers and central limit theorem, basic concepts of mathematical statistics, parameter estimation and hypothesis testing).