- •Донецьк 2006
- •Integral calculus lecture no. 19. Primitive and indefinite integral
- •Point 1. Primitive
- •Properties of primitives
- •Point 2. Indefinite integral and its properties
- •Point 3. Integration by substitution (change of a variable)
- •Point 4. Integration by parts
- •Lecture no.20. Classes of integrable functions
- •Point 1. Rational functions (rational fractions)
- •Point 2. Trigonometric functions
- •Universal trigonometrical substitution
- •Other substitutions
- •Point 3. Irrational functions
- •Quadratic irrationalities. Trigonometric substitutions
- •Quadratic irrationalities (general case)
- •Indefinite integral: Basic Terminology
- •Lecture no. 21. Definite integral
- •Point 1. Problems leading to the concept ofa definite integral
- •Point 2. Definite integral
- •Point 3. Properties of a definite integral
- •I ntegration of inequalities
- •Point 4. Definite integral as a function of its upper variable limit
- •Point 5. Newton-leibniz formula
- •Point 6. Main methods of evaluation a definite integral Change of a variable (substitution method)
- •Integration by parts
- •Lecture no.22. Applications of definite integral
- •Point 1. Problem – solving schemes. Areas
- •Additional remarks about the areas of plane figures
- •Point 2. Arс length
- •Point 3. Volumes
- •Volume of a body with known areas of its parallel cross-sections
- •Volume of a body of rotation
- •Point 4. Economic applications
- •Lecture no. 23. Definite integral: additional questions
- •Point 1. Approximate integration
- •Rectangular Formulas
- •Trapezium Formula
- •Simpson10 formula (parabolic formula)
- •Point 2. Improper integrals
- •Improper integrals of the first kind
- •Improper integrals of the second kind
- •Convergence tests
- •Point 3. Euler г- function
- •Definite integral: Basic Terminology
- •Lecture no. 24. Double integral
- •Point 1. Double integral
- •Point 2. Evaluation of a double integral in cartesian coordinates
- •Point 3. Improper double integrals. Poisson formula
- •Point 4. Double integral in polar coordinates
- •Double integral: Basic Terminology
- •Differential equations lecture no.25. First and second order differential equations
- •Point 1. General notions
- •Point 2. Integrable types of the first order differential equations (of de - 1)
- •1. Separated de-1 (de-1 with separated variables)
- •2. Separable de-1 (de-1 with separable variables)
- •3. Homogeneous de-1
- •4. Linear de-1
- •5. Bernoulli de-1
- •Point 3. Order reducing second order differential equations
- •Lecture no.26. Second order linear differential equations
- •Point 1. General notions
- •Point 2. Linear dependence and independence
- •Point 3. Homogeneous equations Structure of the general solution of so lhde
- •So lhde with constant coefficients
- •Point 4. Nonhomogeneous equations Structure of the general solution of so lnde
- •Method of variation of arbitrary constants
- •Method of undetermined coefficients for so lnde with constant coefficients
- •Lecture no. 27. Systems of differential equations. Approximate integration of differential equations
- •Point 1. Normal systems of differential equations
- •Point 2. Approximate integration of differential equations Successive approximations method
- •Euler method
- •Differential equations: Basic Terminology
- •Bibliography textbooks
- •Problem books
- •Contents
Point 2. Approximate integration of differential equations Successive approximations method
Let it’s necessary to solve Cauchy problem
, ( 7 )
. ( 8 )
Theorem 2. Cauchy problem (7), (8) is equivalent to the next integral equation
( 9 )
■a) If a function is a solution of Cauchy problem, then
.
Integrating the identity we have
and so the function is also a solution of the integral equation.
b) Let now a function is a solution of the integral equation, that is
.
Then , and after differentiation
.
Therefore this function is a solution of Cauchy problem.■
Let’s put
,
,
,
……………………………..
, ( 10 )
It can be proved that if a function and its partial derivative are continuous in some domain D of the -plane, then there is a function such that for any x from a certain interval
.
Passing to the limit as in the equality (10) we see that
and therefore the function is a solution of the integral equation (9) and of Cau-chy problem.
On this base the formula (10) represents an approximate value of a solution of Cauchy problem.
Note. A function represented by the formula (10) is called the nth approximation to an unknown solution of Cauchy problem.
Ex. 3. Find first three approximations to a solution of Cauchy problem
.
Here , and Cauchy problem is equivalent to the integral equation
.
Therefore
.
We can find the value of a solution of Cauchy problem with arbitrary accuracy.
Euler method
Let’s we find solution of Cauchy problem on a segment . We divide the segment into n equal parts of the length
by division points
.
Further we substitute the derivative of the unknown function
by the divided difference
and the differential equation (7) by the difference equation
,
from which
. ( 11 )
With the help of (11) we have
( 12.1 )
( 12.2 )
( 12.3 )
………………………………..
. ( 12.n )
If we join points , we’ll represent an approximate graph of the solution of Cauchy problem.
Ex. 4. Find an approximate solution of Cauchy problem on a segment .
Here Dividing the segment into 10 equal parts of the length we get the calculating formula
.
We represent all calculations with the help of the next table
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Corresponding points of the graph of the approximate solution of Cauchy problem