- •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
3. Higher Derivatives
Suppose that there is the differentiable function y=f(x), i.e., there is the derivative y=f(x), which is denoted by f1(x) . By Definition of the derivative we obtain
.
Definition. The derivative of the derivative of function is called the second derivative; the derivative of the second derivative of function is called the derivative of the third order respectively and is denoted by
,
,
. . . . . . .
etc.
Notations:
,
,
etc.,
are read, for example, the third derivative – d three y with respect to the third power of dx.
If the order of derivative is noted in Arabic letters then it is written down in brackets.
In applications it is often required to find the higher derivatives of the product of two functions
(u.v)(n).
To derive this Leibniz formula, find the following derivatives of the first order
(u.v)=uv+uv,
and of the second order
(u.v)=uv+uv+uv+vu= uv+2uv+uv.
We differentiate once again and find the derivative of the third order:
(u.v)=uv+uv+2uv+2uv+uv+uv= uv+3uv+3uv+uv.
The derivative of the derivative of two functions is said to be the Binomial theorem if the inverse order is taken nominally as the power of this function:
(u.v)(n)=u(n). v+Cn1. u(n-1). v+ Cn2. u(n-2). v+ . . . +
+ Cnn-1.uv(n-1)+Cnn.uv(n).
LECTURE 6
Rolle's theorem, Lagrange's theorem, and Fermat's theorem. L'Hopital's rule. Investigation of the function. Extremum of the function. Convexity, concavity and point of inflection. Asymptotes
1. Properties of differentiable functions
Fermat's Theorem.
Let
be defined and differentiable on an open interval (a, b). If
attains its absolute maximum
or absolute minimum
(both are called absolute extremum)
at
,
where
,
then
.
Rolle's Theorem.
If a function satisfies all the following three conditions:
(1)
is continuous on the closed interval
,
(2)
is differentiable in the open interval
,
(3)
;
then there exists at least a point
such that
.
L
agrange's
Theorem.
If a function is
(1) continuous on the closed interval and
(2) differentiable in the open interval ,
then there exists at least a point such that
.
Limits- indeterminate forms and L’Hospital’s Rule
Indeterminate Form of the Type
We have previously studied limits with the indeterminate form as shown in the following example:
Example:
However, there is a general, systematic method for
determining limits with the indeterminate form
.
Suppose that f and
g are
differentiable functions at x
= a and
that
is an indeterminate form of the type
;
that is,
and
.
Since f and
g are
differentiable functions at x
= a, then
f and g
are continuous at x
= a; that
is,
=
0 and
=
0. Furthermore, since f and
g are
differentiable functions at x
= a, then
and
.
Thus, if
,
then
if
and
are continuous at x
= a. This
illustrates a special case of the technique known as
L’Hospital’s Rule.
