- •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
- •Lecture 2.
- •Vectors. The elementary operations over vectors. The scalar, vector and mixed product of vectors.
- •§1. The elementary operations over vectors
- •Vector Addition and Multiplication of a vector by a scalar
- •2 The inner, vector and mixed product of vectors
- •Inner Product and its Properties
- •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. Second-Order Curves in the Plane Ellipse
Definition 3. An ellipse is the locus of points for which the sum of distances to two fixed points is constant and equal to 2а.
Take two fixed points at a distance 2c apart, join them by a straight line, and extend this line to the x-axis. We draw the perpendicular line through the center of the segment between the focuses and take it for one coordinate axis.
Let us derive the equation of the ellipse.
у
M4(0;b)
r1 М(х;у)
r2
M1(–a;0) F1 (–c;0) 0 F2 (c;0) M2(a;0) х
M3(0;–b)
The points F1 and F2 are called the foci of the ellipse, and r1 and r2 are its focal radii.
Construction. An ellipse can be drawn as follows: we hammer nails at some distance apart, tie a fillet to the nails, and span it with a chalk. Drawing a closed line with a chalk, spanning the fillet, we obtain an ellipse (this was demonstrated by the author at his lectures).
To derive the equation of an ellipse, we take an arbitrary point М(х,у) and consider the distances to the foci:
,
.
The characteristic feature of this line is, by definition,
.
This is the equation of the ellipse. Let us reduce it to a convenient form:
,
.
Eliminating some terms and reducing by 4, we obtain
.
Let us square both sides:
We obtain
.
Let us divide both sides by
:
;
changing the sign, we obtain the equation of the ellipse:
Since the length 2a of a polygonal line is larger than the length 2c of a straight line, we can denote the difference of squares by
.
Thus, we obtain the classical equation of an ellipse:
.
Hyperbola
Definition 4. The locus of the points for which the difference of distances to two fixed points is constant equal to 2а is called a hyperbola.
As for an ellipse, we introduce a new coordinate system:
у
М(х,у)
r1
r2
F1(–c,0) M1 M2 F2(c,0) x
To derive the equation of a hyperbola, we take an arbitrary point М(х,у) on the hyperbola and consider the distances from this point to the foci:
;
.
The characteristic feature of the line is, by definition,
.
We have composed an equation of the hyperbola. Let us reduce to a convenient form (by analogy with the ellipse):
.
We divide both sides by :
Changing the sign, we obtain the equation of a hyperbola:
.
Since 2a<2c, we denote the difference of squares by
.
Thus, we have obtained the classical equation of a hyperbola:
.
