- •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. Equations with separable variables
(Basic form)
To solve it :
Separate the variables y from x, i.e., by collecting on one side all terms involving y together with dy, while all terms involving x together with dx are put on the other side.
Integrate both sides.
If the solution can be defined explicitly, i.e., it can be solved for y as a function of x, then do it. If not, the solution can be defined implicitly, i.e., it cannot be solved for y as a function of x.
Examples 6. Solve the following differential equations:
Note :
Solutions for the above examples are called the general solutions.
The general solution for example 1 is defined explicitly, where as, the general solution for example 2 is defined implicitly.
If C is to be evaluated, then the solution is called the solution of the initial-value problem.
3. Bernoulli’s equation
Bernoulli’s
equation:
,
where
and
- continuous functions of х.
linear. Bernoulli's equation can be solved also by the substitution
.
4. The equations that allow lower-order
Some second-order equations can be reduced to first-order equations, rendering them susceptible to the simple methods of solving equations of the first order. The following are three particular types of such second-order equations:
Type 1: Second-order equations with the dependent variable missing
Type 2: Second-order nonlinear equations with the independent variable missing
Type 3: Second-order homogeneous linear equations where one (nonzero) solution is known
Type 1: Second-order equations with the
dependent variable missing. Examples of
such equations include
and
.
The defining characteristic is this: The dependent
variable, y,
does not explicitly appear in the equation. This type of second-order
equation is easily reduced to a first-order equation by the
transformation
.
This substitution obviously implies y″
= w′,
and the original equation becomes a first-order equation for w.
Solve for the function w;
then integrate it to recover y.
Example 7. Solve the differential equation y′ + y″ = x.
Since the dependent variable y is
missing, let y′
= w and y″
= w′.
These substitutions transform the given second-order equation into
the first-order equation
which is
in standard form. Applying the method for solving such equations, the
integrating factor is first determined,
and
.
Now, to give the solution y of
the original second-order equation, integrate:
.
Note that this solution implies that y = c1 e− x + c2 is
the general solution of the corresponding homogeneous equation and
that y = ½ x2 –x is
a particular solution of the nonhomogeneous equation. (This
particular differential equation could also have been solved by
applying the method for solving second-order linear equations with
constant coefficients.)
Type 2: Second-order nonlinear equations with
the independent variable missing. Here's
an example of such an equation:
.
The defining characteristic is this: The independent variable, x, does not explicitly appear in the equation.
The method for reducing the order of these
second-order equations begins with the same substitution as for Type
1 equations, namely, replacing y′
by w.
But instead of simply writing y″
as w′,
the trick here is to express y″
in terms of a first derivative with
respect to y. This is accomplished
using the chain rule:
.
Therefore,
.
This substitution, along with y′
= w,
will reduce a Type 2 equation to a first-order equation for w.
Once w is
determined, integrate to find y.
Example 8. Solve the differential equation .
The substitutions y′ = w and y″ = w( dw/dy) tranform this second-order equation for y into the following first-order equation for w:
,
.
Therefore,
.
The statement w =
0 means y′
= 0, and thus y = c is
a solution for any constant c.
The second statement is a separable equation, and its solution
proceeds as follows:
.
Now, since w = dy/dx,
this last result becomes
,
,
which
gives the general solution, expressed implicitly as follows:
.
Therefore, the complete solution of the given
differential equation is
.
Type 3: Second-order homogeneous linear
equations where one (nonzer) solution is known. Sometimes
it is possible to determine a solution of a second-order differential
equation by inspection, which usually amounts to successful trial and
error with a few particularly simple functions. For example, you
might discover that the simple function y = x is
a solution of the equation
or that y = ex satisfies
the equation
.
Of course, trial and error is not the best way to solve an equation, but if you are lucky (or practiced) enough to actually discover a solution by inspection, you should be rewarded.
If one (nonzero) solution of a homogeneous second-order equation is known, there is a straightforward process for determining a second, linearly independent solution, which can then be combined wit the first one to give the general solution. Let y1denote the function you know is a solution. Then let y = y1 v( x), where v is a function (as yet unknown). Substitute y = y1 v into the differential equation and derive a second-order equation for v. This will turn out to be Type 1 equation for v(because the dependent variable, v, will not explicitly appear). Use the technique described earlier to solve for the function v; then substitute into the expression y =y1 v to give the desired second solution.
Let's consider three types of differential equations of the n-th order, allowing reduction of order.
The
equation of the form
,
where f(x) is
a given function. We obtain the general solution of this equation
making the sequence of n integrations, with each such integration
will appear a new arbitrary constant.
The
equation
,
The equation does not contain a clear y and lower derivatives up to
order k-1 inclusive, allows reduction of order by k units.
For this purpose, we introduce a new
unknown function
.
Then
and equation for z is
order n-k:
.
If you found a general solution of this equation
then we have the equation:
.
Integrating it, we find the general solution of equation (*).
The
equation
does not contain explicitly the independent variable. Here the order
of the equation is reduced to the unit by replacing the two
variables. As a new unknown function we choose
,
as well as the new independent variable is у.
