- •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
Implicit Function Derivative
Suppose that there is the dependence between argument х and function у given by the equation, unsolvable with regard to у. Such dependence defines у as the implicit function of х:
F(x;y)=0. (*)
To obtain derivative у in variable х it is required to differentiate equation (*) in х and у, considering у as the composite function of х, i.e., multiplying by yх. In the obtained equation, we find the similar terms containing yх. And, solving it as the equation, we obtain the derivative yх.
Differentiation of the Function Given Parametrically
Suppose
that there
is function y(х)
given parametrically:
Suppose
that
functions (t)
and (t)
are differentiable in parameter t
and t0,
there is also the inverse function t=t-1(x).
Then
the derivative of function can be obtained by the formula:
.
Method of Logarithmic Differentiation
The conception of this method is the following: beforehand, we obtain the logarithm of the assigned function, and only then differentiate the result.
In applications more often we encounter with two cases with the logarithmic differentiation.
1. Find the derivative of the product of several functions
y=u1(х.)· u2.(х)· u3.(х)· …·un(х).
Let us obtain the logarithm of both parts, using the property of the logarithm of product
ln y = ln u1.+ ln u2 + ln u3 +…+ ln un.
Differentiate both parts, the left one - as the implicit function
.
Multiplying both parts by у and substituting it by the function itself, we obtain
.
2. Consider the function
,
here the base u(x) and v(x) the power are functions; thus, the function is called a power-exponential function.
Obtain the derivative of this function. By the analogy with the first case, obtain the logarithm and use the property of the logarithm of power
ln y = v(x). ln u(x).
Differentiate both parts
,
multiplying both parts by у and substituting by the power-exponential function; thus, we obtain the derivative
.
2. Differential of a function
Concept of differential
Recall that the derivative of y
= f(x)
at x is:
.
|
dy = f '(a) dx. |
Definitions 2. i. The differential of x is a change in x, denoted dx. ii. The differential of the function y = f(x) at x = a is the function defined by dy = f '(a) dx, where dx is the independent variable and dy the dependent variable. iii. The differential of the function y = f(x) is the operation which associates to each point x in dom ( f ) the differential dy = f '(x) dx of y = f(x) at that point.
Use differential to approximate calculations
For x near
,
is a good approximation for
.
or
The error becomes arbitrarily small, compared with
,
as
.
Example.
Find the approximate value of
the function
at x = 1.02.
Solution.
Use
,
х=1. Then
.
.
,
we obtain
.
Therefore,
.
