MathLectures
Home
Algebra
Calculus
  gnu6 > IndexOffice   

Properties of continuous functions

A function

f(x)\;:K \to M

is a rule that assigns each element x \in K the only element y \in M. The set where the function is defined is called the domain of the function. On the other hand, if a set S is from the domain of f(x) then

f(S)

denotes the image of S. In other words,

f(S) = \{y\in M\;;\;\;\mbox{ such that } \exists\;x\in K\;\;\mbox{ and } f(x)=y \}

In this section we are interested in real functions that are defined on the real line \mathbb{R} and take real values. Our interest is focused on those functions that are called continuous.



Definition. 1 A real function f(x) is called continuous at a point

x_0 \in \mathbb{R}

  if, and only if,

\forall \varepsilon > 0\;\;\;\exists\;\;\delta > 0\;\;\mbox{ such that } \mid x - x_0 \mid < \delta \;\;\Longrightarrow \;\;\; \mid f(x)- f(x_0) \mid < \varepsilon


Real continuous functions have a wide range of important for application properties. The next theorem contains some of the basic algebraic properties of continuous functions.


  
Theorem 1. If the real functions f(x) and g(x) are continuous at a point x0 
 then so are the functions:

f(x) \pm g(x),\;\;f(x)\cdot g(x) \;\;\mbox{ and }\;\; \frac{f(x)}{g(x)}\;\;\mbox{ for } x_0\;\;\mbox{ such that } g(x_0) \not= 0


Proof. Let us show that f(x) \pm g(x) is continuous at x0. Since f(x) and g(x) are continuous at x0, for any given

\varepsilon > 0

we can find

\delta_f\;\;\mbox{ and } \delta_g

such that

\mid x - x_0 \mid < \delta_f \;\;\Longrightarrow \;\;\; \mid f(x)- f(x_0) \mid < \frac{\varepsilon }{2}

and

\mid x - x_0 \mid < \delta_g \;\;\Longrightarrow \;\;\; \mid g(x)- g(x_0) \mid < \frac{\varepsilon }{2}

Hence, for any

\varepsilon > 0

we have

\mid(f(x) \pm g(x)) - (f(x_0) \pm g(x_0)) \mid \le \mid f(x) - f(x_0) \mid + \mid g(x) - g(x_0) \mid < \frac{\varepsilon }{2} + \frac{\varepsilon }{2} = \varepsilon

as long as

\mid x - x_0 \mid < \min\{\delta_f, \delta_g \}

Thus, for any

\varepsilon > 0

there exists

such that

\mid(f(x) \pm g(x)) - (f(x_0) \pm g(x_0)) \mid < \varepsilon

as long as

\mid x - x_0 \mid < \delta

We proved that

f(x) \pm g(x)

is continuous function at x0.

Now we show that

f(x) \cdot g(x)

is continuous at x0. First, we notice that the function g(x) locally bounded at x0. Indeed, for \varepsilon =1 there exists such that

\mid x - x_0 \mid < \delta_1 \;\;\Longrightarrow \;\;\mid g(x) - g (x_0)\mid < 1

Hence,

\mid x - x_0 \mid < \delta_1 \;\;\Longrightarrow \;\;\mid g(x) \mid < 1 + \mid g(x_0) \mid

On the other hand, since f(x) and g(x) are continuous at x0 we can choose

\delta_f > 0 \;\;\mbox{ and }\;\;\delta_g > 0

so that

\mid x - x_0 \mid < \delta_f \;\;\Longrightarrow \;\;\mid f(x) - f(x_0) \mid < \frac{ \varepsilon }{2 \cdot G }

and

\mid x - x_0 \mid < \delta_g \;\;\Longrightarrow \;\;\mid f(x_0)\mid \cdot\mid g(x) - g(x_0) \mid < \frac{\varepsilon }{2 }

Notice that

\mid f(x) \cdot g(x) - f(x_0)\cdot g(x_0)\mid = \mid f(x) \cdot g(x)-f(x_0)\cdot g(x) + f(x_0)\cdot g(x) - f(x_0)\cdot g(x_0)\mid \le

\mid g(x) \mid \cdot \mid f(x)-f(x_0)\mid + \mid f(x_0) \mid \cdot \mid g(x) - g(x_0)\mid

Now choose

\delta = \min\{\delta_1,\; \delta_f, \; \delta_g \}

Then it follows from

\mid x - x_0 \mid < \delta

that

\mid f(x) \cdot g(x) - f(x_0)\cdot g(x_0)\mid < G\cdot \mid f(x)-f(x_0)\mid + \mid f(x_0) \mid \cdot \mid g(x) - g(x_0)\mid < G \cdot \frac{\varepsilon }{2\cdot G } + \frac{\varepsilon }{2 } = \varepsilon

Hence, we established that

\forall \varepsilon > 0\;\;\;\exists\;\;\delta>0

such that

\mid x - x_0 \mid < \delta\;\;\;\Longrightarrow \;\;\mid f(x)\cdot g(x) - f(x_0)\cdot g(x_0) \mid < \varepsilon

That means f(x)\cdot g(x) is continuous at x0.

The statement that the ratio

\frac{f(x)}{g(x)}

is continuous at x_0 (g(x_0)\not= 0 ) follows from the fact that product is continuous as long as each of the terms is continuous. The details are left for the reader as an exercise.


Now we turn to topological properties of continuous functions. For simplicity we assume that the real function f(x) in question is defined for all real numbers,

f(x):\;\;\mathbb{R} \;\;\to \;\; \mathbb{R}

The most basic topological properties of continuous functions are listed in the following theorem.


  
Theorem 2.  If f(x) is a continuous real function then the following statements hold.
1. If (a,\;b) \subset f(\mathbb{R}) then f^{-1}((a,\;b)) is an open set.
2. If K \subset \mathbb{R} is a compact set then so is its image, f(K).
3. If a < b and f(a)\cdot f(b)<0 then there exists c \in (a,\;b) such that f(c) = 0.



Proof.

Statement 1. Let us take an arbitrary point

x_0 \in f^{-1}((a,\;b))

(a,\;b) is an open interval. Hence, there exists \varepsilon > 0 such that

(f(x_0)-\varepsilon ,\; f(x_0) +\varepsilon ) \subset (a,\;b)

Since the function f(x) is continuous one can find δ > 0 for which

\mid x - x_0 \mid < \delta\;\;\;\Longrightarrow \;\;\mid f(x) - f(x_0) \mid <\varepsilon

That implies

(x_0-\delta ,\; x_0 +\delta ) \subset f^{-1}((a,\;b))

We proved that any point

x_0 \in f^{-1}((a,\;b))

possesses an open neighborhood

(x_0-\delta ,\; x_0 +\delta ) \subset f^{-1}((a,\;b))

It implies that

f^{-1}((a,\;b))

is an open set.

Statement 2. Consider an open covering

f(K) \subset \cup_i F_i

According to the first statement each

f -1(Fi)

is open and

K \subset \cup_i f^{-1}(F_i)

The set K is compact. That means any open cover has a finite subcover:

K \subset \cup_{j=1}^m f^{-1}(F_{i_j})

Hence,

f(K) \subset \cup_ {j=1}^m F_{i_j}

We proved that any open cover for f(K) admits a finite subcover. Thus, f(K) is compact.

Statement 3. Consider

c = sup\{\;x\;;\;\mbox{ such that }f(x)\le 0 \}

Since f(x) is continuous we have

f(c) = 0

Notice that

sup{S}

denotes the largest limit point of S.


We conclude this lecture by formulating two more properties of continuous functions:

  Superposition of continuous functions is continuous.
  Inverse of a continuous one-to-one function is continuous.
 

Theorem 3. If f(x) and g(x) are continuous functions on \mathbb{R} then so is their superposition f(g(x)).


Proof. We need to show that

\forall \; \varepsilon > 0 \; \exists \;\delta >0\;\;\mbox{ such that } \mid x - x_0 \mid <\delta \; \Longrightarrow \;\mid f(g(x)) -f(g(x_0))\mid < \varepsilon

Since f(x) is a continuous function at g(x0) we have

\forall \; \varepsilon > 0 \; \exists \;\;\delta_f >0\;\;\mbox{ such that } \mid y - g(x_0) \mid < \delta_f \; \Longrightarrow \;\mid f(y) -f(g(x_0))\mid < \varepsilon

On the other hand, the continuity of g(x) implies the existence of such \delta > 0 that

\mid x - x_0 \mid < \delta_f \; \Longrightarrow \;\mid g(x) -g(x_0)\mid < \delta_f

The proof is completed.


A function

f\;:\;\;M\;\to \; N

is called one-to-one if, and only if,

x\not=y \;\; \Longrightarrow \; \;f(x) \not= f(y)

and

\forall \;y \in N \;\; \exists \; \; x\in M \;\;\mbox{ such that } f(x)=y

Any one-to-one function f(x) has inverse function f -1(y) such that

f -1(f(x)) = x

Moreover, if f(x) is continuous then so is f -1(y). We leave the proof of this fact as an exercise to the reader.