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Limit of functions – "Math for Non-Geeks"

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A New Attempt with a Rough Plan

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Intuition

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We have an arbitrary function f. This article deals with the question "How does f behave in the neighborhood of a point x0, or near infinity?" And "Does f tends to a particular value as we approach x0 along the x-axis, or does it continue on to infinity?"

We will consider three example functions at the origin:

First Example

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f:,f(x)=exp(x)

Regardless of who we approach x0=0 along the x-axis, f(x) tends towards 1.

Second Example

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f:{0},f(x)={1if x<0x+1if x>0

The function f
The function f

Even though f is not defined at 0, the function still tends towards the value 1 at the point 0.

Third Example

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f:,f(x)={1if x>00,if x=01if x<0

The sign function \sgn
The sign function \sgn

This case is not as easy as the previous two. From the left f tends towards 1, from the right towards 1. If we assign the functional value of x0=0 to the value of x0 itself, i.e set f(x0)=0, then f can jump back and forth between 1 and 0 as well as between 1 and 0.

Application Examples

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Limits at infinity:

In order to produce flash on a camera, capacitors are discharged within fractions of a second. Physically, the discharge of a capacitor can be written as V(t)=V0etRC.

Discharging of a capacitor
Discharging of a capacitor

For a positive initial voltage V0 it doesn't matter how large or small we choose the time unit t. It holds V(t)>0 and in particular V(t)0. How can we mathematically express that the voltage and therefore also the charge of the capacitor approaches 0? To this we have to investigate limtV(t), i.e. the limit of V at infinity.

x0 as a real number:

In introductory calculus, the area under the graph of a function on the interval [a,b] is often approximated by the area of rectangles of equal width.

The thinner the rectangles, the more precisely they approximate the area under the curve. If we write Δx for the width of a rectangle, we know that the area of a rectangle is the width times the height. The height of the rectangle is precisely the functional value of f at the edge of the rectangle. For rectangle width Δx we can calculate an approximation of the area under the curve of f on the interval [a,b] by the formula: g(Δx)=iΔxf(a+iΔx), as long as we make sure the boundaries of summation fit the index i. We can also calculate and give an explicit formula for the functional values of the function g at the arguments Δx>0 since we don't allow rectangles to have a width 0. In essence, we have formulated the integral calculation as a problem wherein we want to find the limit of g in x0=0.

Transition to Mathematics

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How can we as humans consider how a function "behaves" near a point? E.g. does the function increase? Decrease? Go to infinity? Have a hole or jump discontinuity? Is the point a minimum or maximum? In typical introductory math courses, a simple method is to choose a few points near a given point x0 and compute their functional values to obtain some relative idea or model of how the function looks. Now we want to formalize this procedure:

Let's consider a sequence (xn)n and substitute the sequence elements xn into f. Since these points should approach x0, let's consider functions for which limnxn=x0 holds. For example, it would be unwise to look at f at the point x0=1 but to use test values like 10,100,1000,....

By using the xn's as our arguments that we will set into the function, this yields yet another sequence (f(xn))n. We ask whether f converges to a functional value in x0 (remember if f goes to infinity at the point x0 then this sequence does not converge to a functional value). I.e. this is the same as asking whether limnf(xn) exists.

We haven't yet discussed how many sequences we have to set into f. Do we get enough information if we only choose one sequence and observe how it behaves as it tends towards x0?. Let's consider the following example:


The sign function is given by sgn:,sgn(x)={1x>00x=01x<0

If we choose the sequence (xn)n with xn=1n and substitute this into sgn, then we always get the value sgn(xn)=1. If we only looked at this one sequence, then we would assume that sgn converges to the value of 1 at the point x0=0. If we choose the sequence (xn)n with xn=1n, then we always get the value sgn(xn)=1 and now we see that the function sgn doesn't have a unique limit at the point x0=0. So it is not sufficient to consider just one sequence. Thus, the function has to be the same for all possible sequences, so that we can determine the existence of the limit value.

Definition by Sequences

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Definition (Limit of a Sequence)

Let f:D be a function with D, a and x0D. f has a limit a at the point x0 , if for every sequence (xn)n with n:xnD and limnxn=x0 it holds: limnf(xn)=a. If this is the case, then we write limxx0f(x)=a

Let f:D be a function with D and a. f has the limit value a at infinity , if for every sequence (xn)n with n:xnD and limnxn= it holds: limnf(xn)=a. If this is the case, we write limxf(x)=a

Brief Addendum on the Definition of Sequences

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As a final touch, we had to note that the expression f(xn) only makes sense if xn lies within the domain of f. Therefore, we require n:xnD. We should also only examine f at points x0 that we can actually approach. If, for example, f is only defined on D=[0,1), then we cannot determine what f does in the vicinity of x0=5. What is possible, however, is to ask for an approximation of f at the point x0=1. Our x0 must therefore lie in D, that is, the closure of D.


Variations of the Definition

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This section exists because different authors and different textbooks use different definitions. It may happen that you did not learn the definition from this article in your lecture, but one of the following variations.

Instead of x0D, it is possible to allow only x0D.

Regardless of the first decision, it is possible to further restrict the sequences (xn)n under consideration. If we want to consider the behaviour of f in the ‘vicinity’ of x0D, we can discuss whether it is permissible to use x0 itself as a value ‘close to x0’ in f. Some authors therefore require:

For the sequences (xn)n under consideration, xnD{x0} n (instead of xnD)


Note: Continuity and limits of functions

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If we compare our intuition with the sequence criterion of continuity, we see that continuity also involves the convergence of f at a point x0. If we also compare both definitions via sequences, we find very similar results here too. For the continuity of f at the point x0, the only additional requirement is that x0D must hold, because the expression f(x0) must exist. (Since DD, in particular x0D holds.) In fact, there are authors who define continuity using limits of functions. Continuity of f at x0D means that limxx0f(x)=f(x0). This is independent of which version we choose in the definition via sequences. In the first version, this is because we have to impose the restriction x0D for the question of continuity anyway. It also does not matter whether we require xnD{x0} or xnD: If, for all permitted sequences in D{x0}, f(xn) tends towards f(x0), then this also applies to all permitted sequences in D. Conversely, if for all permitted sequences in D, f(xn) approaches f(x0), then this also applies to all sequences in D{x0}.

It should also be noted that the definition of continuity via limits of functions also works with the epsilon-delta definition in this chapter.


Use of one-sided limits

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"Later for integrals: space of regular functions. Regular function is relatively abstract. Classifiable as: f regular function if for all xD right-sided and left-sided limits exist.