- •Lecture 1.
- •§1. Determinants and their properties
- •Is the minor of .
- •§2. Matrices and operations on them. Inverse matrix
- •Definition 4. (Definition of a matrix)
- •§3. Systems of linear equations
- •Vector Addition and Multiplication of a vector by a scalar
- •2 The inner, vector and mixed product of vectors
- •Inner Product and its Properties
- •Lecture 2.
- •Vectors. The elementary operations over vectors. The scalar, vector and mixed product of vectors.
- •§1. The elementary operations over vectors
- •Vector Product and its Properties
- •The vector product in coordinates. Consider vectors
- •Triple Product in Coordinates. Given three vectors , , and , let us express the triple product of these vectors in terms of their coordinates. Consider the triple product
- •The simplest problem of analytic geometry
- •Division of an interval in a given ratio. Suppose given an interval м1м2. Let us find the coordinates a of point м on the interval for which .
- •3. Second-Order Curves in the Plane Ellipse
- •Parabola
- •Lecture 4 Function. The function limit. Fundamental theorems on limits. Infinitely small and infinitely large quantities
- •1. Functions
- •2. The Theory of Limits
- •Infinitesimals and bounded functions.
- •3. Fundamental Theorems on Limits
- •4. Continuity of Functions
- •Lecture 5 The derivative of the function. Geometric and mechanical meaning of derivative. Table of derivatives. The differential of a function
- •1. The derivative of a function
- •Implicit Function Derivative
- •2. Differential of a function
- •3. Higher Derivatives
- •1. Properties of differentiable functions
- •L’Hospital’s Rule for Form
- •L’Hospital’s Rule for Form
- •Taylor’s formula
- •2. Monotonic conditions. Extremum of function
- •3. Convexity and concavity. Point of inflection
- •4. Asymptotes
- •5. General Scheme for the Investigation of the Graph of a Function
- •1. Concept of functions of several variables
- •2. Partial derivatives. Total differential
- •3. Differentiation of composite and implicit functions. Tangent and surface normal
- •Implicit function of two variables
- •4. Partial derivatives and higher order differentials
- •5. Extrema of functions of two variables
- •Lecture 8 Antiderivative. Indefinite integral and its properties. Table of integrals. Main methods of integration
- •1. Antiderivative and indefinite integral
- •2. Main methods of integration
- •Integration by substitution ( or change of variable )
- •Integration by parts
- •3. Integration of fractional rational functions
- •I. Integrating Proper Rational Functions
- •II. Integrating Improper Rational Functions
- •4. Integration of irrational functions
- •5. Integration of trigonometric functions
- •1. Concept of definite integral
- •2. Main properties of definite integrals
- •Integration by substitution
- •Integration by Parts
- •3. Applications of definite integrals
- •The areas of plane figures
- •Lecture 11 Differential equations of the first and second order. Homogeneous and non-homogeneous linear differential equations. Linear differential equations with constant coefficients
- •1. Problems that lead to differential equations
- •2. Equations with separable variables
- •3. Bernoulli’s equation
- •4. The equations that allow lower-order
- •5. Homogeneous equation
- •1. Numerical series
- •6. Types of series:
- •2. The convergence of the sum of the series
- •Integral
- •3. Alternating series
- •4. Power series
- •Main concept. Definition of probability
- •2. Properties of probability
- •Lecture 15. Elements of Mathematical Statistics. Random variables, their types. Distribution laws of random variables
- •1. Random variables, their types
- •2. Distribution laws of random variables
4. Asymptotes
If
a function f
gets close to a certain number L
when x
gets larger and larger, then we say that the limit as x
goes to infinity is L
and we write:
.
Likewise, if f
gets close to L
when x
gets smaller and smaller, then the limit as x
goes to negative infinity is L
and we write:
.
In both cases, the line y
= L is a
horizontal asymptote
of f.
If
a function
gets larger and larger as x
gets close to a number a,
then it “goes to infinity” and we write:
.
The line x
= a is a
vertical asymptote
of f.
Similarly, if
gets smaller and smaller as x
gets close to a,
then it “goes to negative infinity” and we write:
.
Again, the line x
= a is a
vertical asymptote
of f.
An important result:
If
then
.
This is because one over a very large positive number and one over a
huge negative number are both close to 0.
Slant asymptotes have an equation y = kx + q and their position is arbitrary except vertical. In order a straight line y = kx + q be an asymptote, the coefficients k and q must satisfy at least one pair of the following conditions
and
(k and b are numbers).
Naturally these limits must be finite real numbers. A certain function can have maximally two inclined asymptotes.
5. General Scheme for the Investigation of the Graph of a Function
To analyze the function and graph it, we must:
1. Determine the domain;
2. Determine the parity (evenness);
3. Determine the periodicity or non-periodicity of a function;
4. Find the points of intersection of a function and the axes of coordinates;
5. Treat a function for the continuity. Find the points of discontinuity and define the type of discontinuity;
6. Treat a function for the min and max;
7. Find the intervals of concavity and convexity, the inflection;
8. Find the asymptotes of a curve;
9. Construct the graph based on the below-mentioned data.
LECTURE 7
Functions of several variables. Range of definition. Quotient derivatives. Full differential. Extremum of several variables. Necessary and sufficient conditions for the existence of an extremum
1. Concept of functions of several variables
Definition of functions of several variables
We will be studying functions of several
variables, say
.
It is often convenient to organize this list of input variables into
a vector x
.
When n is two or three, we usually dispense with the subscripts and
write x =
or x =
.
For example, consider the function f from
to
defined
by
.
With x = , we can write this as
.
As we shall see, sometimes it is very helpful to think of the input variables as united into a single vector variable x, while other times it is helpful to think of them individually and separately.
We will also be considering functions from
to
.
These take vector variables as input, and return vector variables as
output. For example, consider the function F
from
to
given by
.
Introducing
the functions
and
,
and with f(x; y) defined as in
,
we can rewrite as
.
Often, the questions we ask about F(x) can be answered by considering the functions f, g and h one at a time.
Graph of functions of two variables
The graph of a function of two variables, f(x, y), is the set of all points (x, y, z) such that z = f(x, y). In general, the graph of a function of two variables is a surface in 3-space.
Example 1: Describe and graph the function f(x, y) = xy.
Solution:
We begin by making a table of values. Then we attempt to plot those points in 3-space and connect the points. As we include more and more points, our graph becomes the desired surface. We see that if x or y is 0, the function is 0. As x and y both increase, the values of the function get larger. For a fixed value of either x or y, the function looks like a line. Using this information, we can attempt to make a sketch of the function.
Figure 1: Graph of f(x, y) = xy
We remark that as x and y are both positive or both negative, the function values are getting larger and positive. When one is positive and the other is negative, the function values are getting larger and negative. This is illustrated by the slants of the surface.
