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4.1: Basic Definitions

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We shall now consider functions whose domains and ranges are sets in some fixed (but otherwise arbitrary) metric spaces (S,ρ) and (T,ρ), respectively. We write

f:A(T,ρ)

for a function f with Df=A(S,ρ) and Df(T,ρ).S is called the domain space, and T the range space, of f.

I. Given such a function, we often have to investigate its "local behavior" near some point pS. In particular, if pA=Df( so that f(p) is defined) we  may ask: Is it possible to make the function values f(x) as near as we like (" \varepsilon - near") to f(p) by keeping x sufficiently close \left(\text { "close }^{\prime \prime}\right) to p, i.e., inside some sufficiently small globe G_{p}(\delta) ? If this is the case, we say that f is continuous at p . More precisely, we formulate the following definition.

Definition

A function f : A \rightarrow\left(T, \rho^{\prime}\right), with A \subseteq(S, \rho), is said to be continuous at p iff p \in A and, moreover, for each \varepsilon>0 (no matter how small) there is \delta>0 such that \rho^{\prime}(f(x), f(p))<\varepsilon for all x \in A \cap G_{p}(\delta) . In symbols,

(\forall \varepsilon>0)(\exists \delta>0)\left(\forall x \in A \cap G_{p}(\delta)\right)\left\{\begin{array}{l}{\rho^{\prime}(f(x), f(p))<\varepsilon, \text { or }} \\ {f(x) \in G_{f(p)}(\varepsilon)}\end{array}\right.

If (1) fails, we say that f is discontinuous at p and call p a discontinuity point of f . This is also the case if p \notin A (since f(p) is not defined).

If (1) holds for each p in a set B \subseteq A, we say that f is continuous on B . If this is the case for B=A, we simply say that f is continuous.

Sometimes we prefer to keep x near p but different from p . We then replace G_{p}(\delta) in (1) by the set G_{p}(\delta)-\{p\}, i.e., the globe without its center, denoted G_{\neg p}(\delta) and called the deleted \delta -globe about p . This is even necessary if p \notin D_{f}. Replacing f(p) in (1) by some q \in T, we then are led to the following definition.

Definition

Given f : A \rightarrow\left(T, \rho^{\prime}\right), A \subseteq(S, \rho), p \in S, and q \in T, we say that f(x) tends to q as x tends to p(f(x) \rightarrow q \text { as } x \rightarrow p) iff for each \varepsilon>0 there is \delta>0 such that \rho^{\prime}(f(x), q)<\varepsilon for all x \in A \cap G_{\neg p}(\delta) . In symbols,

(\forall \varepsilon>0)(\exists \delta>0)\left(\forall x \in A \cap G_{\neg p}(\delta)\right) \quad\left\{\begin{array}{l}{\rho^{\prime}(f(x), q)<\varepsilon, \text { i.e. }} \\ {f(x) \in G_{q}(\varepsilon)}\end{array}\right.

This means that f(x) is \varepsilon -close to q when x is \delta -close to p and x \neq p.

If (2) holds for some q, we call q a limit of f at p . There may be no such q. We then say that f has no limit at p, or that this limit does not exist. If there is only one such q(\text { for a given } p), we write q=\lim _{x \rightarrow p} f(x) .

Note 1. Formula (2) holds "vacuously" (see Chapter 1,8 §§1-3, end remark) if A \cap G_{\neg p}(\delta)=\emptyset for some \delta>0 . Then any q \in T is a limit at p, so a limit exists but is not unique. (We discard the case where T is a singleton.)

Note 2. However, uniqueness is ensured if A \cap G_{\neg p}(\delta) \neq \emptyset for all \delta>0, as we prove below.

Observe that by Corollary 6 of Chapter 3, §14, the set A clusters at p iff

(\forall \delta>0) \quad A \cap G_{\neg p}(\delta) \neq \emptyset . \quad(\text { Explain! })

Thus we have the following corollary.

corollary \PageIndex{1}

If A clusters at p in (S, \rho), then a function f : A \rightarrow\left(T, p^{\prime}\right) can have at most one limit at p ; i.e.

\lim _{x \rightarrow p} f(x) \text{ is unique (if it exists).}

In particular, this holds if A \supseteq(a, b) \subset E^{1}(a<b) and p \in[a, b].

Proof

Suppose f has t w o limits, q and r, at p . By the Hausdorff property,

G_{q}(\varepsilon) \cap G_{r}(\varepsilon)=\emptyset \quad \text{ for some } \varepsilon>0.

Also, by (2), there are \delta^{\prime}, \delta^{\prime \prime}>0 such that

\begin{array}{ll}{\left(\forall x \in A \cap G_{\neg p}\left(\delta^{\prime}\right)\right)} & {f(x) \in G_{q}(\varepsilon) \text { and }} \\ {\left(\forall x \in A \cap G_{\neg p}\left(\delta^{\prime \prime}\right)\right)} & {f(x) \in G_{r}(\varepsilon)}\end{array}

Let \delta=\min \left(\delta^{\prime}, \delta^{\prime \prime}\right) . Then for x \in A \cap G_{\neg p}(\delta), f(x) is in both G_{q}(\varepsilon) and G_{r}(\varepsilon), and such an x exists since A \cap G_{\neg p}(\delta) \neq \emptyset by assumption.

But this is impossible since G_{q}(\varepsilon) \cap G_{r}(\varepsilon)=\emptyset (\text { a contradiction!). } \square

For intervals, see Chapter 3, §14, Example ( \mathrm{h} ).

corollary \PageIndex{2}

f is continuous at p\left(p \in D_{f}\right) iff f(x) \rightarrow f(p) as x \rightarrow p.

Proof

The straightforward proof from definitions is left to the reader.

Note 3. In formula (2), we excluded the case x=p by assuming that x \in A \cap G_{\neg p}(\delta) . This makes the behavior of f at p itself irrelevant. Thus for the existence of a limit q at p, it does not matter whether p \in D_{f} or whether f(p)=q . But both conditions are required for continuity at p (see Corollary 2 and Definition 1).

Note 4. Observe that if (1) or (2) holds for some \delta, it certainly holds for any \delta^{\prime} \leq \delta . Thus we may always choose \delta as small as we like. Moreover, as x is limited to G_{p}(\delta), we may disregard, or change at will, the function values f(x) for x \notin G_{p}(\delta) ("local character of the limit notion").

II. Limits in E*. If S or T is E^{*}\left(\text { or } E^{1}\right), we may let x \rightarrow \pm \infty or f(x) \rightarrow \pm \infty . For a precise definition, we rewrite (2) in terms of globes G_{p} and G_{q} :

\left(\forall G_{q}\right)\left(\exists G_{p}\right)\left(\forall x \in A \cap G_{\neg p}\right) \quad f(x) \in G_{q}.

This makes sense also if p=\pm \infty or q=\pm \infty . We only have to use our conventions as to G_{ \pm \infty}, or the metric \rho^{\prime} for E^{*}, as explained in Chapter 3, §11.

For example, consider

^{\prime \prime}f(x) \rightarrow q \text{ as } x \rightarrow+\infty^{\prime \prime}\left(A \subseteq S=E^{*}, p=+\infty, q \in\left(T, \rho^{\prime}\right)\right).

Here G_{p} has the form (a,+\infty], a \in E^{1}, and G_{\neg p}=(a,+\infty), while G_{q}=G_{q}(\varepsilon), as usual. Noting that x \in G_{\neg p} means x>a\left(x \in E^{1}\right), we can rewrite \left(2^{\prime}\right) as

(\forall \varepsilon>0)\left(\exists a \in E^{1}\right)(\forall x \in A | x>a) \quad f(x) \in G_{q}(\varepsilon), \text{ or } \rho^{\prime}(f(x), q)<\varepsilon.

This means that f(x) becomes arbitrarily close to q for large x(x>a).

Next consider ^{4} f(x) \rightarrow+\infty as x \rightarrow-\infty " Here G_{\neg p}=(-\infty, a) and G_{q}=(b,+\infty] . Thus formula \left(2^{\prime}\right) yields (with S=T=E^{*}, and x varying over E^{\mathrm{i}} )

\left(\forall b \in E^{1}\right)\left(\exists a \in E^{1}\right)(\forall x \in A | x<a) \quad f(x)>b;

similarly in other cases, which we leave to the reader.

Note 5. In (3), we may take A=N (the naturals). Then f : N \rightarrow\left(T, \rho^{\prime}\right) is a sequence in T . Writing m for x, set u_{m}=f(m) and a=k \in N to obtain

(\forall \varepsilon>0)(\exists k)(\forall m>k) \quad u_{m} \in G_{q}(\varepsilon) ; \text{ i.e., } \rho^{\prime}\left(u_{m}, q\right)<\varepsilon.

This coincides with our definition of the limit q of a sequence \left\{u_{m}\right\} (see Chapter 3, §14). Thus limits of sequences are a special case of function limits. Theorems on sequences can be obtained from those on functions f : A \rightarrow\left(T, \rho^{\prime}\right) by simply taking A=N and S=E^{*} as above.

Note 6. Formulas (3) and (4) make sense sense also if S=E^{1} (respectively, S=T=E^{1} ) since they do not involve any mention of \pm \infty . We shall use such formulas also for functions f : A \rightarrow T, with A \subseteq S \subseteq E^{1} or T \subseteq E^{1}, as the case may be.

III. Relative Limits and Continuity. Sometimes the desired result (1) or (2) does not hold in full, but only with A replaced by a smaller set B \subseteq A. Thus we may have

(\forall \varepsilon>0)(\exists \delta>0)\left(\forall x \in B \cap G_{\neg p}(\delta)\right) \quad f(x) \in G_{q}(\varepsilon).

In this case, we call q a relative limit of f at p over B and write

"f(x) \rightarrow q \text{ as } x \rightarrow p \text{ over } B"

or

\lim _{x \rightarrow p, x \in B} f(x)=q \quad(\text { if } q \text { is unique });

B is called the path over which x tends to p . If, in addition, p \in D_{f} and q=f(p), we say that f is relatively continuous at p over B ; then (1) holds with A replaced by B. Again, if this holds for every p \in B, we say that f is relatively continuous on B . Clearly, if B=A=D_{f}, this yields ordinary (nonrelative) limits and continuity. Thus relative limits and continuity are more general.

Note that for limits over a path B, x is chosen from B or B-\{p\} only. Thus the behavior of f outside B becomes irrelevant, and so we may arbitrarily redefine f on -B . For example, if p \notin B but \lim _{x \rightarrow p, x \in B} f(x)=q exists, we may define f(p)=q, thus making f relatively continuous at p(\text { over } B) . We also may replace (S, \rho) by (B, \rho)(\text { if } p \in B), or restrict f to B, i.e., replace f by the function g : B \rightarrow\left(T, \rho^{\prime}\right) defined by g(x)=f(x) for x \in B (briefly, g=f on B ).

A particularly important case is

A \subseteq S \subseteq E^{*}, \text{ e.g., } S=E^{1}.

Then inequalities are defined in S, so we may take

B=\{x \in A | x<p\} \text{ (points in } A, \text{ preceding } p).

Then, writing G_{q} for G_{q}(\varepsilon) and a=p-\delta, we obtain from formula (2)

\left(\forall G_{q}\right)(\exists a<p)(\forall x \in A | a<x<p) \quad f(x) \in G_{q}.

If (5) holds, we call q a left limit of f at p and write

"f(x) \rightarrow q \text{ as } x \rightarrow p^{-}" \quad\left(" x \text { tends to } p \text{ from the left}^{\prime}\right).

If, in addition, q=f(p), we say that f is left continuous at p . Similarly, taking

B=\{x \in A | x>p\},

we obtain right limits and continuity. We write

f(x) \rightarrow q \text{ as } x \rightarrow p^{+}

iff q is a right limit of f at p, i.e., if (5) holds with all inequalities reversed.

If the set B in question clusters at p, the relative limit (if any) is unique. We then denote the left and right limit, respectively, by f\left(p^{-}\right) and f\left(p^{+}\right), and we write

\lim _{x \rightarrow p^{-}} f(x)=f\left(p^{-}\right) \text{ and } \lim _{x \rightarrow p^{+}} f(x)=f\left(p^{+}\right).

corollary \PageIndex{3}

With the previous notation, if f(x) \rightarrow q as x \rightarrow p over a path B, and also over D, then f(x) \rightarrow q as x \rightarrow p over B \cup D.

Hence if D_{f} \subseteq E^{*} and p \in E^{*}, we have

q=\lim _{x \rightarrow p} f(x) \text{ iff } q=f\left(p^{-}\right)=f\left(p^{+}\right) . \quad(\text { Exercise! })

We now illustrate our definitions by a diagram in E^{2} representing a function f : E^{1} \rightarrow E^{1} by its graph, i.e., points (x, y) such that y=f(x).

Here

G_{q}(\varepsilon)=(q-\varepsilon, q+\varepsilon)

is an interval on the y -axis. The dotted lines show how to construct an interval

(p-\delta, p+\delta)=G_{p}

on the x -axis, satisfying formula (1) in Figure 13, formulas (5) and (6) in Figure 14, or formula (2) in Figure 15 . The point Q in each diagram belongs to the graph; i.e., Q=(p, f(p)) . In Figure 13, f is continuous at p(\text { and also at } p_{1} ). However, it is only left-continuous at p in Figure 14, and it is discontinuous at p in Figure 15, though f\left(p^{-}\right) and f\left(p^{+}\right) exist. (Why?)

Example \PageIndex{1}

(a) Let f : A \rightarrow T be constant on B \subseteq A ; i.e.

f(x)=q \text{ for a fixed } q \in T \text{ and all } x \in B.

Screen Shot 2019-06-03 at 11.55.40 PM.png

Screen Shot 2019-06-03 at 11.56.01 PM.png

Then f is relatively continuous on B, and f(x) \rightarrow q as x \rightarrow p over B, at each p . (Given \varepsilon>0, take an arbitrary \delta>0. Then

\left(\forall x \in B \cap G_{\neg p}(\delta)\right) \quad f(x)=q \in G_{q}(\varepsilon),

as required; similarly for continuity.)

(b) Let f be the i dentity map on A \subset(S, \rho) ; i.e.,

(\forall x \in A) \quad f(x)=x.

Screen Shot 2019-06-03 at 11.58.51 PM.png

Then, given \varepsilon>0, take \delta=\varepsilon to obtain, for p \in A,

\left(\forall x \in A \cap G_{p}(\delta)\right) \quad \rho(f(x), f(p))=\rho(x, p)<\delta=\varepsilon.

Thus by (1), f is continuous at any p \in A, hence on A.

(c) Define f : E^{1} \rightarrow E^{1} by

f(x)=1 \text{ if } x \text{ is rational, and } f(x)=0 \text{ otherwise.}

(This is the Dirichlet function, so named after Johann Peter Gustav Lejeune Dirichlet.)

No matter how small \delta is, the globe

G_{p}(\delta)=(p-\delta, p+\delta)

(even the deleted globe) contains both rationals and irrationals. Thus as x varies over G_{\neg p}(\delta), f(x) takes on both values, 0 and 1, many times and so gets out of any G_{q}(\varepsilon), with q \in E^{1}, \varepsilon<\frac{1}{2}.

Hence for any q, p \in E^{1}, formula (2) fails if we take \varepsilon=\frac{1}{4}, say. Thus f has no limit at any p \in E^{1} and hence is discontinuous everywhere! However, f is relatively continuous on the set R of all rationals by Example (\mathrm{a}).

(d) Define f : E^{1} \rightarrow E^{1} by

f(x)=[x](=\text { the integral part of } x ; \text { see Chapter } 2, §10).

Thus f(x)=0 for x \in[0,1), f(x)=1 for x \in[1,2), etc. Then f is discontinuous at p if p is an integer (why?) but continuous at any other p\left(\text { restrict } f \text { to a small } G_{p}(\delta) \text { so as to make it constant) }\right.

However, left and right limits exist at each p \in E^{1}, even if p= n(\text { an integer }) . In fact,

f(x)=n, x \in(n, n+1)

and

f(x)=n-1, x \in(n-1, n),

hence f\left(n^{+}\right)=n and f\left(n^{-}\right)= n-1 ; f is right continuous on E^{1} . See Figure 16 .

Screen Shot 2019-06-04 at 12.07.32 AM.png

(e) Define f : E^{1} \rightarrow E^{1} by

f(x)=\frac{x}{|x|} \text{ if } x \neq 0, \text{ and } f(0)=0.

(This is the so-called signum function, often denoted by sgn.)

Then (Figure 17)

f(x)=-1 \text{ if } x<0

and

f(x)=1 \text{ if } x>0.

Thus, as in ( d ), we infer that f is discontinuous at 0, but continuous at each p \neq 0 . Also, f\left(0^{+}\right)=1 and f\left(0^{-}\right)=-1 . Redefining f(0)=1 or f(0)=-1, we can make f right (respectively, left) continuous at 0, but not both.

Screen Shot 2019-06-04 at 12.13.52 AM.png

(f) Define f : E^{1} \rightarrow E^{1} by (see Figure 18)

f(x)=\sin \frac{1}{x} \text{ if } x \neq 0, \text{ and } f(0)=0.

Any globe G_{0}(\delta) about 0 contains points at which f(x)=1, as well as those at which f(x)=-1 or f(x)=0 (take x=2 /(n \pi) for large integers n ); in fact, the graph "oscillates" infinitely many times between -1 and 1 . Thus by the same argument as in (\mathrm{c}), f has no limit at 0 (not even a left or right limit) and hence is discontinuous at 0 . No attempt at redefining f at 0 can restore even left or right continuity, let alone ordinary continuity, at 0 .

Screen Shot 2019-06-04 at 12.18.29 AM.png

(g) Define f : E^{2} \rightarrow E^{1} \mathrm{by}

f(\overline{0})=0 \text{ and } f(\overline{x})=\frac{x_{1} x_{2}}{x_{1}^{2}+x_{2}^{2}} \text{ if } \overline{x}=\left(x_{1}, x_{2}\right) \neq \overline{0}.

Let B be any line in E^{2} through \overline{0}, given parametrically by

\overline{x}=t \vec{u}, \quad t \in E^{1}, \vec{u} \text{ fixed (see Chapter 3, §§4-6 ),}

so x_{1}=t u_{1} and x_{2}=t u_{2} . As is easily seen, for \overline{x} \in B, f(\overline{x})=f(\overline{u}) (constant) if \overline{x} \neq \overline{0} . Hence

\left(\forall \overline{x} \in B \cap G_{\neg \overline{0}}(\delta)\right) \quad f(\overline{x})=f(\overline{u}),

i.e., \rho(f(\overline{x}), f(\overline{u}))=0<\varepsilon, for any \varepsilon>0 and any deleted globe about \overline{0}.

By \left(2^{\prime}\right), then, f(\overline{x}) \rightarrow f(\overline{u}) as \overline{x} \rightarrow \overline{0} over the path B . Thus f has a relative limit f(\overline{u}) at \overline{0}, over any line \overline{x}=t \overline{u}, but this limit is different for various choices of \overline{u}, i.e., for different lines through \overline{0} . No ordinary limit at \overline{0} exists (why?); f is not even relatively continuous at \overline{0} over the line \overline{x}=t \vec{u} unless f(\overline{u})=0 (which is the case only if the line is one of the coordinate axes (why?)).


This page titled 4.1: Basic Definitions is shared under a CC BY 3.0 license and was authored, remixed, and/or curated by Elias Zakon (The Trilla Group (support by Saylor Foundation)) via source content that was edited to the style and standards of the LibreTexts platform.

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