- •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
2. The Theory of Limits
The limit of a sequence.
Definition
11. A
sequence is an infinite set of terms, each of which is assigned a
number. The terms of a sequence must obey a certain law.
Example.
Definition
12. A
number
is called the limit of a sequence if, for any >0,
there exists a number N()
depending
on
, such
for
.
Notation:
.
Example.
.
Definition
13. The
limit of a variable
х
is
a number а
such that for any >0,
there
exists an х
starting with which all х
satisfy the inequalities
.
Properties:
1. The limit of a constant number equals this number.
2. A variable can not have two different limits.
3. Some variables have no limit.
Definition
14. We
say
that
х
tends to infinity if, for any number М,
there exists an х
such that, starting it,
.
(a) M>0, x>M, x;
(b) M<0, x<–M, x –.
Definition
15. A
number b
is
called the limit of the function f(x)
as
х
а
if, for any given >0,
there exists a small positive
depending on
(()>0)
such that, for any х
satisfying the inequality
,
.
Notation:
.
Definition
16. The
left limit of a function f(x)
as
x
a
is the limit of f(x)
as
x
a,
and х<а.
Notation:
.
Definition
17. The
right limit of a function f(x)
as
x
a,
is the limit of f(x)
as
x
a,
and х>а.
Notation:
.
If the left limit equals the right limit and some number b, then b is the limit of the function as x a.
The
denominator of the last fraction is very small, and the fraction is
very large:
.
Decreasing the denominator and, finally, divide 1 by 0, we obtain
infinity, i.e.,
Using this
relation, we find
,
.
Definition
18. A
number b
is called the limit of f(x)
as х
if, for any >0,
there exists a (large) number N
depending on
such
that
for
any
.
Notation:
.
Infinitesimals and bounded functions.
Definition
19. A
function f(x)
is
said to be infinitesimals as
х
а
if, for any М,
there exists a
such
that
whenever
.
Notation:
.
Definitions
20.1.
A function f(x)
is said to be bounded on a domain D
if, for any х
from D,
.
If this condition is not satisfied, then the function is said to be unbounded, i.e., this function is an infinite quantity.
20.2.
A function f(x)
is said to be bounded as
if, for any х
from a neighborhood of а,
.
20.3. A function f(x) is said to be bounded as х if, for any х>N, .
Theorem I. If a function f(x) has a finite limit as then f(x) is bounded as .
Theorem
II.
If a function has a limit as
and
this limit is not equal to zero, then
is bounded as
.
3. Fundamental Theorems on Limits
Theorem III. The limit of the algebraic sum of finitely many functions equals the sum of the limits of these functions:
.
Theorem IV. The limit of the product of two functions equals the product of the limits of these functions:
.
Theorem V. The limit of the ratio of two functions equals the quotient of the limits of the numerator and the denominator:
.
Theorem
VI (the
sandwich theorem). If, in a neighborhood of a point а,
the inequalities
u (x)
z (x)
v (x)
hold
,
then limit of z(x)
exists and equals
.
Theorem
VII. If
a function f(x)
is monotonically increases (decreases) and is bounded as х
а
above
(below), then f(x)
has a finite limit
.
The First Remarkable Limit and Its Generalization
The
following limit exists and equals 1:
.
The Second Remarkable Limit
Consider
the limit
.
