- •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. Problems that lead to differential equations
A differential equation is a relation between a function and its derivatives. Differential equations form the language in which the basic laws of physical science are expressed. The science tells us how a physical system changes from one instant to the next. The theory of differential equations then provides us with the tools and techniques to take this short term information and obtain the long-term overall behavior of the system.
A dynamic physical system.
This pendulum illustrates how a physical system changes with time.
There is one differential equation that everybody probably knows, that is Newton’s Second Law of Motion. If an object of mass m is moving with acceleration a and being acted on with force F then Newton’s Second Law tells us.
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(1) |
To see that this is in fact a differential equation we need to rewrite it a little. First, remember that we can rewrite the acceleration, a, in one of two ways.
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(2) |
Where v is the velocity of the object and u is the position function of the object at any time t. We should also remember at this point that the force, F may also be a function of time, velocity, and/or position. So, with all these things in mind Newton’s Second Law can now be written as a differential equation in terms of either the velocity, v, or the position, u, of the object as follows.
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(3) |
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(4) |
So, here is our first differential equation. We will see both forms of this in later chapters.
A differential equation (DE) is an equation involving derivatives of unknown function of one or more variables. If the unknown function depends on only one variable, the equation is called an ordinary differential equation (ODE). If the unknown function depends on more than one variable, the equation is called a partial differential equation (PDE).
Example 1:
or
is an ordinary differential equation since the function
depends on only one variable
.In
the function
,
is called the independent variable, and
is the dependent variable.
Example 2:
is a partial differential equation since the function
depends on two variables
and
.
Order and degree of a differential equation
The order of a DE is the order of the highest ordered derivative involved in the expression . The degree of the an ordinary differential equation is the algebraic degree of its highest ordered–derivative.
Example 3: is first order, first degree ordinary DE
Example 4: is first order, first degree partial DE
Example 5:
is second order, first degree ordinary DE
We say that a function is a solution to a differential equation if, when we plug it (and its various derivatives) into the equation, we find that the equation is satisfied.
Our use of the word solution has been until now
somewhat informal. To be precise, we say that the continuous function
is a solution of the differential equation in
on the interval I
provided that the derivatives
exist on I
and
for all x in I. For the sake of brevity, we may say that satisfies the differential equation in on I.
