- •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
1. Numerical series
1. A series
is an infinite sum, written
.
It doesn’t have to start at k = 0.
2. The nth
partial sum of the series is
3. The series
converges to a number L means:
.
In other words, for n large
enough,
is the same as L to any number of decimal places you like.
4. If converges to L, we sometimes write = L . In other words, the sum is as close to L as you want if you take enough terms.
5. Sometimes
there is no number L with
. In such a case we say that the series
diverges.
This could happen because the partial sums
bounce around, or, in the case of a series like
, because the numbers
get bigger and bigger without bound.
6. Types of series:
a)
is a positive term series means
that
for all k.
b)
An alternating series
has terms that switch signs. Every alternating series can be written
as either
or as
where
for all k.
c)
A series
is
absolutely convergent
if the positive term series
is
convergent.
If
a series is absolutely convergent, it is convergent.
The reverse might not be true. For example, if
,
then
converges
but is not absolute convergent, since
=
diverges. There is a name for this situation, as follows:
d) A series is conditionally convergent if converges but diverges.
2. The convergence of the sum of the series
There are two comparison tests. One is called The Comparison Test and the other one is called The Limit Comparison Test. Both tests require one to choose another series to which the given series is compared. During the course of the class, we will learn about certain well known series that you can use in this regard. So far we have learned about the p-series, which includes the Harmonic series. So these comparison tests work well when the given series looks a little like a p-series.
The Comparison Test:
Let
and
be
two series of positive terms. Then
If converges and
for
all n
sufficiently large, then
also
converges.If diverges and
for
all n
sufficiently large, then
also
diverges.
The
Limit Comparison Test: Let
and
be
two series of positive terms. If
,
where C is
finite and positive, then either both series converge or both series
diverge.
There are several observations that one must keep in mind in applying these Comparison tests.
Both tests apply to series of positive terms. Actually, if either of the series have a finite number of negative terms, then the tests still apply because a finite number of terms does not change the convergence or divergence of any series.
In general, one will be given a series, say . One then chooses the series from your knowledge of previously studied series. The p-series is often a good choice, but you will need to pick a particular value for p.
In applying these tests, one must verify that the conditions of the tests are satisfied. In particular, for the Comparison Test one must verify the appropriate inequality holds.
In applying the Limit Comparison Test, if
,
then no information about convergence or divergence is obtained and
you have to choose some other series with which to compare.Neither of these tests provide an estimate of the error as the Integral Test does.
Example
1: Determine whether or not the
series
converges
or diverges.
Solution:
(First one must identify a series with
which to compare. To this end, notice that the degree of the
numerator is 1 and the degree of the denominator is 3 and 3-1=2. This
indicates that a good choice of a series for comparison is
.)
Consider
.
(The next step is to decide which
comparison test to use. For purposes of illustration, both are shown
here, but in your homework you need only use one of the tests.)
(Applying the Comparison Test:)
Note that
converges
since it is a constant multiple of the p-series
with p=2.
Furthermore
for
all
.
So by the Comparison Test, the series
converges.
(Applying the Limit Comparison Test:)
Note that
converges
since it is a constant multiple of the p-series
with p=2.
Furthermore
.
So by the Limit Comparison Test, the series
converges.
Example
2: Determine whether or not the
series
converges
or diverges.
Solution:
(First one must identify a series with
which to compare. To this end, notice that the degree of the
numerator is 1 and the degree of the denominator is 3 and 3-1=2. This
indicates that a good choice of a series for comparison is
.)
Consider
.
(This time the inequality use above does
not work because of the minus sign in the denominator. So we use the
Limit Comparison Test.) Note
that
converges
since it is a constant multiple of the p-series
with p=2.
Furthermore
.
So by the Limit Comparison Test, the series
converges.
Example
3: Determine whether or not the
series
converges
or diverges.
Solution:
(First one must identify a series with
which to compare.) Consider
which diverges since it is the Harmonic series. Furthermore
for
.
So by the Comparison Test, the series
diverges.
(If
one tries to use the Limit Comparison Test, then
.
So the Limit Comparison Test does not provide an answer for this
problem. The Integral Test can be used to show that this series
diverges.)
geometric series
A geometric series is the sum of the terms in a geometric sequence. This results from each term being multiplied by a constant value.
e.g. 1 + 2 + 4 + 8 + 16 + … =
e.g. 6 + 2 +
=
The sum for a finite geometric series (that is, a
geometric series which has a finite number of terms) is sn
=
where a1
is the first term of the sequence, r is the common ratio (or
multiplier), and n is the number of terms in the finite series. If
the series is infinite, and if |r| < 1, then the infinite series
converges to s =
.
