Skip to main content

Continuity of functions

Definition. Let f:DRf:D\to \mathbb{R}, with x0x_{0} an accumulation point of D. f is continuous at x0x_{0} if equation; x0x_{0} is called a point of continuity.

Definition Let αD\alpha \in D. α\alpha is a point of discontinuity of the first kind if the one-sided limits at α\alpha exist and are finite, but the function is not continuous at α\alpha.

Definition Let αD\alpha \in D. α\alpha is a point of discontinuity of the second kind if it is not of the first kind.

Theorem. If II is an interval and f is continuous on II, then J=f(I)J=f(I) is an interval (a function continuous on an interval has the Darboux property on that interval).

Differentiable functions

Definition of the derivative at a point. Let f:ERf:E\to \mathbb{R}, x0Ex_{0}\in E, with x0x_{0} an accumulation point of EE, equation

equation
equation

Geometric interpretation:

  1. if equation, equation is the equation of the tangent to the graph of the function ff at the point A(x0,f(x0));A(x_{0},f(x_{0}));

  2. if ff is continuous at x0x_{0}, equation or conversely, x0x_{0} is a cusp of the graph;

  3. if ff is continuous at x0x_{0} and the one-sided derivatives at x0x_{0} exist, at least one being finite, but ff is not differentiable at x0x_{0}, then x0x_{0} is a corner point of the graph.

Rules of differentiation

f,g:ER,f,g:E\to \mathbb{R}, f,gf,g differentiable at xEx\in E, then:

  1. equation
  2. equation
  3. equation
  4. if g(x)0g(x)\neq0, equation

  5. if f:IJ,g:JR,f:I\to J, g:J\to \mathbb{R}, ff is differentiable at x0Ix_{0}\in I and gg is differentiable at y0=f(x0)y_{0}=f(x_{0}), then equation

  6. if f:IJ,f:I\to J, is continuous, bijective and differentiable at x0x_{0} with equation, then equation is differentiable at y0y_{0}, y0=f(x0)y_{0}=f(x_{0}) and equation

Derivatives of the elementary functions

Elementary function

Composite function

Domain of definition

equation

RR

equation

RR

equation
equation

RR

equation
equation

RR*

equation
equation

(0,)(0,\infty)

equation
equation

(0,)(0,\infty)

equation
equation

RR

equation
equation

RR

equation
equation

(0,)(0,\infty)

equation
equation equation

(0,)(0,\infty)

equation
equation

RR

equation
equation

RR

equation
equation

cosx0cosx\neq0

equation
equation

sinx0sinx\neq0

equation
equation

(1,1)(-1,1)

equation
equation

(1,1)(-1,1)

equation
equation

RR

equation
equation

RR

Higher-order derivatives

The function f:DRf:D\to \mathbb{R} is (n+1) times differentiable at x0DD\in D\cap D' if:

  1. there exists Vequation such that V\subsetequation;

  2. the derivative function equation is differentiable at x0;

In this case the limit is written equation and is called the derivative of order (n+1) of the function f at the point x0.

Leibniz's rule

Given the functions f,g:DRf,g:D\to \mathbb{R} that are n times differentiable, equation

General properties of differentiable functions

Let f:DRf:D\to \mathbb{R} be a function; x0D\in D is called a point of absolute (global) minimum of the function f if: f(x0)≤ f(x), xD\forall x\in D. x0D\in D is called a point of absolute (or global) maximum of the function f if: f(x)f(x0), x0D\in D.

Let f:IRf:I\to \mathbb{R} be a function and x0Ix_{0}\in I.

x0 is called a point of absolute (global) minimum of the function f if there is a neighbourhood V of x0 such that f(x)≤ f(x0), xVI\forall x\in V\cap I; f(x0) is called a relative maximum of the function.

x0 is called a point of relative (or local) minimum of the function f if there is a neighbourhood V of x0 such that f(x)≤ f(x0), xVI\forall x\in V\cap I; f(x0) is called a relative minimum of the function.

x0Ix_{0}\in I is a point of relative (or local) extremum of f if it is a point of relative (or local) minimum or maximum.

Fermat's theorem

Let IRI\subset \mathbb{R} be an interval and f:IRf:I\to \mathbb{R} a function differentiable at a point of local extremum x0 in the interior of the interval I (x0Ix_{0}\in I and not an endpoint of the interval); then f(x0)=0f'(x_{0})=0.

Geometric interpretation. If the graph of the function has a tangent at a point of extremum which does not coincide with the endpoints of the graph, then the tangent at that point is parallel to the Ox axis.

Rolle's theorem. Let f:[a,b]Rf:[a,b]\to \mathbb{R} be a function with the following properties:

  1. f is continuous on [a,b]

  2. f is differentiable on (a,b)

  3. f(a)=f(b)

Then c(a,b)\exists c\in(a,b) such that f(c)=0f'(c)=0.

Geometric interpretation Let A(a, f(a)), B(b,f(b)); since f(a)=f(b) it follows that AB \parallelOx.

If the graph of the function f has a tangent at every point (with the possible exception of the endpoints A and B) and the line joining the endpoints A, B is parallel to Ox, then there is at least one point of the graph at which the tangent is parallel to the Ox axis.

Lagrange's theorem (the mean value theorem). Let f:[a,b]Rf:[a,b]\to \mathbb{R} be a function with the properties:

  1. f is continuous on [a,b]

  2. f is differentiable on (a,b)

Then c(a,b)\exists c\in(a,b) such that equation.

Geometric interpretation. If the graph of f has a tangent at every point (with the possible exception of the endpoints), there is at least one point on the graph at which the tangent is parallel to the chord [AB] joining the endpoints.

Consequences of Lagrange's theorem

  1. If f:IRf:I\to \mathbb{R} is differentiable and f(x)=0f'(x)=0, xI\forall x\in I, then f is constant on I.

  2. If f,g:IRf,g:I\to \mathbb{R} are differentiable on the interval I and f=gf'=g' then

g-f=constant.

  1. Monotonicity of functions. A function f:IRf:I\to \mathbb{R} differentiable on the interval I with f>0f'>0 is strictly increasing, and if f<0f'<0 then f is strictly increasing.

Cauchy's theorem. If the functions f,g:[a,b]Rf,g:[a,b]\to \mathbb{R} satisfy the conditions:

  1. f and g are continuous on the closed interval [a,b];

  2. f and g are differentiable on the open interval (a,b);

  3. g(x)0,x(a,b)g'(x)\neq0,\forall x\in(a,b);

Then g(a)≠g(b) and c(a,b)\exists c\in(a,b) such that equation.

Darboux's theorem. If f is a function differentiable on the interval I, then ff' has the Darboux property on I.

L'Hôpital's theorem. Let a,b equation, a<b and IRI\subset \mathbb{R} an interval with (a,b)I[a,b]\subset I\subset[a,b]. If x0[a,b]x_{0}[a,b] and f,g:I\{x0}Rf,g:I\backslash \{x_{0}\}\to \mathbb{R} are functions with the properties:

1) equation (respectively equation);

2) f and g are differentiable and g(x)0,xI\{x0}g'(x)\neq0,\forall x\in I\backslash \{x_{0}\};

3) there exists equation, finite or infinite;

Then g(x)0,()xI\{x0}g(x)\neq0, (\forall)x\in I\backslash \{x_{0}\} and there exists equation.

Real functions. Introductory notions

Let E and F be two sets. We say a function has been defined on E with values in F if to each element x∈E there corresponds one and only one element y∈F. A function is the whole formed by the sets E and F together with the correspondence from the elements of E to the elements of F. The set E is called the domain of definition of the function, and the set F is called the set in which the function takes its values (the codomain).

A function may be written f:E→F. A generic element x of the domain E is called an argument or variable of the function f. The element of F corresponding to an element x∈E through the function f is written f(x) and is called the image of x under f, or the value of the function f at x.

Sketching the graph of a function

To sketch the graph of a twice-differentiable function f, proceed as follows:

  1. Determine the maximal domain of definition:
  1. for rational expressions, the denominator of the fraction must be non-zero;

  2. the quantity under a radical of even index must be greater than or equal to zero;

  3. the base of an exponential function must be strictly positive;

  4. the arcsine and arccosine functions must be defined on [-1,1];

  5. the number to which the logarithm is applied must be strictly positive, and the base of the logarithm must be strictly positive and different from 1.

  1. Make explicit the functions: modulus, maximum, minimum, signum, integer part and fractional part (if the function contains them).

  2. Determine whether the function is even or odd:

  1. if the function is even f(x)=f(x)f(-x)=f(x), then the graph of the function is symmetric about the axis of ordinates (the Oy axis);
  1. if the function is odd f(x)=f(x)f(-x)=-f(x), then the graph of the function is symmetric about the origin; so it is enough to sketch the graph on the positive Ox semi-axis and then reflect it;
  1. the graph of a function ff is symmetric about the line if f(2ax)=f(x)f(2a-x)=f(x) I is symmetric about the point (a,0)(a,0) if f(2ax)=f(x)f(2a-x)=-f(x);

  2. if the function is periodic with period p, it is enough to draw the graph of the function for x∈E belonging to an interval of length p, since the graph repeats.

  1. Determine the intersections with the coordinate axes:
  1. y=0f(x)=0y=0\Rightarrow f(x)=0, and if the solutions of the equation f(x)=0f(x)=0 exist, then the graph meets the OxOx axis at the points of the form (x1,0),(x2,0),...(x_{1},0), (x_{2},0),...

  2. x=0y=f(0)x=0\Rightarrow y=f(0)\Rightarrow the point at which the graph meets the axis of ordinates, of the form (0,f(0))(0,f(0)).

  1. Determine the limits at the ends of the intervals and the continuity of the function

  2. Determine the asymptotes:

  1. vertical. Vertical asymptotes are defined for unbounded functions, even if they are defined on bounded sets. They should be looked for at the points of discontinuity of the function, that is at the points where the function f is not defined.
  1. oblique. If equation equation exists and equals ++\infty equation, then compute, if it exists, the limit equation equation If m (respectively equation) is finite, compute, when it exists, equation equation If n (respectively equation) is finite, then the line with equation y=mx+ny=mx+n (respectively equation) is an oblique asymptote to the branch towards ++\infty equation of the graph of the function.

Notes:

  1. if m exists and is finite, but n does not exist or is infinite, the graph of the function has no oblique asymptote at ±∞;

  2. if m does not exist or is infinite, the graph of the function has no oblique asymptote at ±∞.

  1. horizontal. If equation exists and is finite, then the line y=a is an asymptote at ±∞, parallel to the Ox axis.

Notes:

  1. If the graph has a horizontal asymptote, then it cannot also have an oblique asymptote at ±∞, and conversely;

  2. For periodic functions, a graph may have infinitely many vertical asymptotes;

  3. There may be horizontal asymptotes towards ±∞ and oblique ones towards ±∞;

  4. For the inverse circular functions, the graph may have infinitely many horizontal asymptotes;

  5. If the line y=a is a horizontal asymptote of the graph of the function f, then the distance between the graph and the asymptote, measured vertically, decreases continually as the point on the graph moves away.

  1. The first derivative
  1. Determine the set of points at which f is differentiable,

  2. Compute equation. At the points where the function is defined but not differentiable, determine (if they exist) the left derivative equation and the right derivative equation, in order to establish the one-sided tangents.

  3. Determine the real roots of the equation equation and draw up the sign table of the derivative equation.

  4. Determine the intervals of monotonicity and the points of local extremum of the function:

    • If equation, for x(a,b)x\in(a,b), then f is strictly increasing on (a,b)(a,b).

    • If equation for x(c,d)x\in(c,d), then f is strictly decreasing on (c,d)(c,d).

    • If equation for x(e,g)x\in(e,g), then f is constant on (e,g)(e,g).

  1. If f is continuous at x0Ex_{0}\in E and there is an interval (a,b)(a,b) containing x0x_{0} such that f is increasing (decreasing) on equation and decreasing (increasing) on equation, then x0x_{0} is a point of local maximum (minimum) of f relative to E.
  1. The second derivative

    1. Compute the second derivative, ff.

    2. Solve the equation f(x)=0.f(x)=0. The roots of this equation will be possible points of inflection.

    3. Determine the intervals on which the second derivative keeps a constant sign.

      • If the second derivative ff is strictly positive (+) on an interval IEI\subset E, then the function is convex on II.

      • If the second derivative ff is strictly negative (-) on an interval IEI\subset E, then the function is concave on II.

      • If the second derivative ff does not vanish on an interval IEI\subset E, then ff keeps the same sign on II.

  2. Draw up a table of values of the function f – a table in which, for the sake of order, the results obtained above are recorded:

  • In the first row go the notable values of xx obtained earlier;

  • In the second row go the corresponding values of the first derivative, equation, and the sign of equation;

  • In the third row go the corresponding values of the function f(x)f(x), together with the arrows  or \nearrow \text{ or } \searrow marking the increase or decrease of the function;

  • In the fourth row go the corresponding values of the second derivative, f(x)f(x), and the sign of ff.

xx-\infty00\infty
equation
f(x)f(x)
f(x)f(x)
  1. Sketch the graph of the function

The notable points (x,f(x))(x,f(x)), which follow from the table, are then plotted in the plane xOyxOy. The asymptotes are drawn if they exist.

Taking into account what the first and second derivatives indicate, the points are joined by a curve.

Standard Taylor series

The expansion of the function equation as a Taylor series at the point equation has the following general form: equation.

  1. equation
  2. equation
  3. equation