Plan of the recitation
- Calculus I / Recitation
- Calculus Recitation II
- Linear Algebra I / Recitation
- Linear Algebra Recitation II
Calculus I / Recitation
Course goals.
Each of the following items are understood and could be calculated.- Understand the principal value of inverse trigonometric functions and evaluate inverse trigonometric functions .
- Compute the derivative of inverse functions (inverse trigonometric, inverse hyperbolic functions etc).
- Compute the partial derivatives of functions in several variables by the chain rule.
- Compute the higher order derivatives of functions.
- Understand the definition of the integral.
- Find primitive functions for elementary functions.
- Evaluate the double integral of functions in 2 variables.
- Understand the meaning of Jacobian in the coordinate change.
- Evaluate the double integral with transforming to the polar coordinates.
- Determine the convergency of the improper integral.
- Evaluate the improper integral.
- Evaluate the improper double integral.
- Evaluate the length of curves, the volume surrounded by surfaces.
Plan for each recitations and contents.
Class | Schedule | Contents |
---|---|---|
1 | Sets | Subsets, equivalency of sets, subtract of sets, product of sets, intervals, the set |
Maps | Maps, surjection, injection, bijection, composition of maps, inverse map. | |
2 | Arithmetic functions | Exponential, logarithmic, trigonometric, inverse trigonometric,
hyperbolic, inverse hyperbolic functions, the principal values of the inverse trigonometric functions. |
Differentials | Differentiability, differential coefficients, derivative, derivative of composite functions, derivative of inverse function, derivative in higher order, class, Leibniz rule | |
3 | Primitive function | Primitive function, primitive functions for elementary functions |
Methods for primitive functions | Methods to find the primitive functions in rational, trigonometric and irrational functions. | |
4 | Improper integral | Singularities for functions, improper integral, convergency of improper integral, absolutely convergent. |
Functions for several variables | Limit of the values of functions, continuity on functions for several variables | |
5 | Partial differential | Partial derivative, class functions for several variables. |
Chain rule | Partial derivatives for composite functions, chain rule. | |
6 | Repeated integral | Double integral, repeated integral, order change of repeated integral, Fubini's theorem. |
Variable change in double integral | Variable change in double integral, variable change to polar coordinates, Jacobian | |
7 | Improper double integral | Improper integral for functions in several variables, convergent sequence for domain, repeated integrals for improper integrals. |
Triple integral | Integrals in a space, 3 dimensional polar coordinates and coordinate change. | |
Applications in integrals | Length of curves, area of surfaces, volume of areas. |
Calculus Recitation II
Course goals.
Each of the following items are understood and could be calculated.- Determine the superior and inferior of a subset of real numbers.
- Understand the convergency of sequences of real numbers and describe by expression.
- Determine the convergency of sequences and find its limit if it converge.
- Understand the limit of value of real functions and describe by expression.
- Describe the limit of value of functions of several variables by expression
- Understand and describe the uniform continuity.
- Find the limit of functions by using the theorem of l'Hospital.
- Describe the Maclaurin (or Taylor) expansion of functions with caution to the domain of convergence.
- Differentiate the implicit functions.
- Find the extremal value of functions and the points it attains.
- Determine the convergency of series with positive terms.
- Determine the unifom convergency of sequences and series of functions.
- Determine the termwise integrable or differentiable of sequences and series of functions.
- Find the radius of convergent of power series.
- Determine the termwise integrable or differentiable of power series.
Plan for each recitations and contents.
Class | Schedule | Contents |
---|---|---|
1 | Proposition | Universal proposition, existential proposition, and their negation. |
Real numbers | Bounded, superior, inferior, continuity, principal of Archimedes, density of rational numbers. | |
Limits | Definition of limits ( ), formulae of limits, successive limit. | |
2 | Convergency | Criterion by the continuity, fundamental sequence, Cauchy sequence, criterion by d'Alembert, criteron by Cauchy. |
Continuous function | Definition of limits ( ),one sided limit, convergence criterion of Cauchy. | |
3 | Uniform continuity | Theorem of maximal-minimal value, intermediate value theorem, uniform continuity. |
Theorem of l'Hospital | Theorem of Rolle, mean value theorem, theorem of l'Hospital. | |
Theorem of Taylor | Theorem of Taylor for 1 variable function, Taylor expansion, remainder term, Maclaurin expansion, polynomial approximation, symbol of Randau, extremal value for 1 variable functions. | |
4 | Integral | Definition of definite integrals, definite integrability, fundamental theorem of calculus, indefinite integral, definition of multiple integral, area of domain, multiple integrability. |
Integral on curves | Integrals on curves and surfaces for functions and vector fields | |
5 | Continuous function of several variables | Limit of points, limit of functions of several variables, continuity of functions of several variables. |
Total differential | Total differential, total differentiability, directed differential, gradient of functions | |
Theorem of Taylor for several variables | Taylor and Maclaurin expansion for several variables, implicit function theorem. | |
6 | Extremal value | Extremal value, extremal value with conditions, Hessian. |
Positive term series | Criteria of convergency for positive term series, comparison test, d'Alembert's test, Cauchy's test, theorem of Leibnits, absolutely convergent, conditional convergent. | |
7 | Function sequence | Sequence of functions, limit function, uniform convergent, series of functions, convergency criteria, M-criteria of Weierstrass, exchange limits and differential or integral, termwise integral, termwise differential. |
Power series | Domain of convergent of power series, radius of convergent, theorem of Abel, termwise integral and termwise differential of power series and its radius of convergent. |
Linear Algebra I / Recitation
Course goals.
Each of the following items are understood and could be calculated.- Calculate sum and product of matrices, and understand the definition of regular matrices.
- Solve systems of linear equations by applying the row reduction
- Find the inverse matrix by applying the row reduction.
- Understand the rank of matrices, and determine the existence of the solution of linear equations, their free variables, regularity of matrices by rank.
- Calculate the determinant of matrices.
- Determine the regularity of matrices by its determinant and express the inverse matrix by the adjoint matrix.
- Describe the solution of linear equations by the theorem of Cramer.
Plan for each recitations and contents.
Class | Schedule | Contents |
---|---|---|
1 | Vectors and matrices | Matrix as a representation of linear transformation of vectors. |
2 | Matrix | Definition of matrix, operation of matrices, zero matrix, unit matrix, transposed matrix, diagonal matrix. |
Regular matrix | Regular matrix, definition of the inverse matrix. | |
3 | Partition of matrix | Partition to smaller matrices, symmetric partition, vector partition, elementary vector. |
Elementary transformation | Elementary transformation of matrices, elementary matrices. | |
4 | Echelon matrix | Elementary transformation of partitioned matrices, echelon matrices, row reduction. |
System of linear equations | Solution of linear equations, condition for existence of the solution, free variable of the solution, solution space. | |
5 | Inverse matrix | Calculus of inverse matrix. |
Rank | Rank of matrices, canonical rank form, relation with rank and regularity. | |
6 | Determinant | Definition of determinant, determinant and elementary transformation, relation with determinant and regularity. |
7 | Adjoint expansion | Adjoint of matrices, adjoint matrix, adjoint expansion of determinant, formula of Cramer. |
Linear Algebra Recitation II
Course goals.
Each of the following items are understood and could be calculated.- Understand the general vector spaces.
- Find basis and dimension of vector space.
- Understand the linear map and describe its representation matrix.
- Determine the matrix of the base change.
- Determine the representation matrix when base changed.
- Find the image and the kernel of linear maps.
- Calculate complex inner product and find orthonormal basis.
- Find the eigenvalue, eigenvector, eigenspace of matrices.
- Determine the diagonalizability of matrices, and diagonalize if available.
- Diagonalize the normal matrices by unitary matrices.
- Transform real normal matrices to canonical form by orthogonal matrices.
Plan for each recitations and contents.
Class | Schedule | Contents |
---|---|---|
1 | Vector space | Definition of vector space, linear combination of vectors, linear independent, linear dependent. |
2 | Vector subspace | Sum and intersection of vector subspaces, vector subspace generated by vectors. |
Basis and dimension | Basis of vector space, dimension, standard basis, dimension theorem of subspaces. | |
3 | Linear map | Definition of linear map, isomorphism, isomorphic vector spaces. |
Basis and coordinate | Coordinate respected to basis, transformation matrix for base change. | |
4 | Representation matrix | Representation matrix of linear map respected to basis, representation matrix related with base change. |
Image and kernel | Image and kernel of linear maps, dimension theorem for linear map. | |
5 | Inner product | Definition of inner product, norm of vector, orthogonality, orthogonal complement. |
Orthogonalization | Schumidt's orthogonalization, orthonormal basis, Hermite matrix, unitary matrix. | |
6 | Eigenvalue and eigenvector | Eigenvalue, eigenvector, eigenspace, characteristic polynomial, multiplicity of eigenvalue. |
Diagonalization | Formula of Ceyley-Hamilton, diagonalizability and diagonalization of matrices | |
7 | Normal matrix | Diagonalize normal matrices by unitary matrices. |
Canonical form of real normal matrix | Canonical form of real normal matrices, canonical form by orthogonal matrices. |
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