Differential calculus of the function of one variable презентация

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The derivative of the function at the point

Definition.- Let us the function

defines in the some
neighborhood of the point and let the is some point of this
neighborhood. If there exists the limit of the ratio ,
when , then this limit calls the derivative of the function
at the point and designates as , or , or ,
or , or , or .
So we have

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If we designate
- increment of argument,
-increment
of function, then we receive

The

geometrical meaning of the derivative of the function

Let us we have At this time have received the
increment (see the figure). We see, that in the
triangular ABC and then
where is the angle between
the OX axis and the tangent of the curve at the point

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So we can say: the geometrical meaning of the derivative of the
at

the point is the tangent of the angle
between the OX axis and the tangent of the curve at the point

The physical meaning of the derivative of the function

It is the instantaneous velocity at the moment when we have
the nonuniform motion , that is

The equation of the tangent of the curve at the point

Let is the equation of the tangent of the curve at the
point As the point

belongs to the curve and the tangent

then we have the following system of equations

where is the distance covered.

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From this system taking into account that we can receive
the equation for the

tangent in the form

Unilateral derivatives.

Let us defines in the right-side neighborhood of the
point and exists the limit

right-side derivative

of the function at the point

Similarly we can define the left-side limit of the function
at the point

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Note, that if the following condition takes place at the point
then

we say, that the function
has the derivative at the point , that is

Example 1.-

In this case, it is easy to understand that

That is

a quadratic function

has the derivative at the point

Example 2.-

Here we have

That is, this function at the point

has no derivative.

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The difference form of the continuity condition.

Let us consider the continuity condition

of the function
at the point that is or

or

and we have

Differentiability of .

Let defines in the interval and

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Definition.- at the point is named differentiable if the
increment of this function can

be presented in a form
where is some
constant, and when

Theorem.- for differentiability of it is necessary and
sufficient, that it had finite derivative.
The proof of necessity.- Let the function is differentiable,
that is or
So we have

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The proof of sufficiency.- Let it is given, that the function has finite
derivative,

that is exists the limit
It means, that the difference
when Then we have
Now if we denote then we have

that required to be proved.

The differential of the function .

Let us is differentiable. At that time we have, that
The term is the linear part of the increment of the
function relative

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Note, that the quantities and are the infinitely small
of the same order. But

the quantity in compared with
is infinitely small of higher order, that is
So the term is the leading linear part of the increase
of the The term is named the differential
of the function and is indicated as
Note, that if we have the function then we receive
that is So we have
So we can say, that the derivative of the function is equal to the
ratio of and .

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Geometric meaning of the differential of the .

Let us turn to the

figure which was for the determine the derivative
of the function We know, that
where is the angle between the curve and the tangent at the point

Then we have On the other hand
So we can say, that the differential is the increase of
the ordinate of the tangent to the curve at the point

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The rules of calculation of derivatives of elementary functions. .

Note, that all rules

of calculating of derivatives of elementary
functions we can receive with help of definition of derivative of
the function.

1. The power function -
According to the definition of derivative we have

Opening brackets using the binomial theorem, after some transformations
we get the following rule

1. The indicative function -

After some transformations we get

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