Limit (mathematics)


In mathematics, a limit is the value that a function approaches as the argument approaches some value. Limits of functions are essential to calculus and mathematical analysis, and are used to define continuity, derivatives, and integrals.
The concept of a limit of a sequence is further generalized to the concept of a limit of a topological net, and is closely related to limit and direct limit in category theory.
The limit inferior and limit superior provide generalizations of the concept of a limit which are particularly relevant when the limit at a point may not exist.

Notation

In formulas, a limit of a function is usually written as
and is read as "the limit of of as approaches equals ". This means that the value of the function can be made arbitrarily close to, by choosing sufficiently close to. Alternatively, the fact that a function approaches the limit as approaches is sometimes denoted by a right arrow, as in
or in
which reads " of tends to as tends to ".

History

According to Hankel, the modern concept of limit originates from Proposition X.1 of Euclid's Elements, which forms the basis of the Method of exhaustion found in Euclid and Archimedes: "Two unequal magnitudes being set out, if from the greater there is subtracted a magnitude greater than its half, and from that which is left a magnitude greater than its half, and if this process is repeated continually, then there will be left some magnitude less than the lesser magnitude set out."
Grégoire de Saint-Vincent gave the first definition of limit of a geometric series in his work Opus Geometricum : "The terminus of a progression is the end of the series, which none progression can reach, even not if she is continued in infinity, but which she can approach nearer than a given segment."
In the Scholium to Philosophiæ Naturalis Principia Mathematica in 1687, Isaac Newton had a clear definition of a limit, stating that "Those ultimate ratios ... are not actually ratios of ultimate quantities, but limits ... which they can approach so closely that their difference is less than any given quantity". Bruce Pourciau further argues that, in addition to Newton actually having a more sophisticated understanding of limits than he is generally credited with, he also provided the first epsilon argument.
The modern definition of a limit goes back to Bernard Bolzano who, in 1817, developed the basics of the epsilon-delta technique to define continuous functions. However, his work remained unknown to other mathematicians until thirty years after his death.
Augustin-Louis Cauchy in 1821, followed by Karl Weierstrass, formalized the definition of the limit of a function which became known as the (ε, δ)-definition of limit.
The modern notation of placing the arrow below the limit symbol was invented by John Gaston Leathem in 1905 and popularized by G. H. Hardy's 1908 textbook A Course of Pure Mathematics.

Types of limits

In sequences

Real numbers

The expression 0.999... should be interpreted as the limit of the sequence 0.9, 0.99, 0.999,... and so on. This sequence can be rigorously shown to have the limit 1, and therefore this expression is meaningfully interpreted as having the value 1.
Formally, suppose is a sequence of real numbers. When the limit of the sequence exists, the real number is the limit of this sequence if and only if for every real number, there exists a natural number such that for all, we have.
The common notation
is read as:
or
The formal definition intuitively means that eventually, all elements of the sequence get arbitrarily close to the limit, since the absolute value is the distance between and.
Not every sequence has a limit. A sequence with a limit is called convergent; otherwise it is called divergent. One can show that a convergent sequence has only one limit.
The limit of a sequence and the limit of a function are closely related. On one hand, the limit as approaches infinity of a sequence is simply the limit at infinity of a function —defined on the natural numbers. On the other hand, if is the domain of a function and if the limit as approaches infinity of is for every arbitrary sequence of points in which converges to, then the limit of the function as approaches is equal to. One such sequence would be.

Infinity as a limit

There is also a notion of having a limit "tend to infinity", rather than to a finite value A sequence is said to "tend to infinity" if, for each real number known as the bound, there exists an integer such that for each
That is, for every possible bound, the sequence eventually exceeds the bound. This is often written or simply
It is possible for a sequence to be divergent, but not tend to infinity. Such sequences are called oscillatory. An example of an oscillatory sequence is
There is a corresponding notion of tending to negative infinity, defined by changing the inequality in the above definition to with
A sequence with is called unbounded, a definition equally valid for sequences in the complex numbers, or in any metric space. Sequences which do not tend to infinity are called bounded. Sequences which do not tend to positive infinity are called bounded above, while those which do not tend to negative infinity are bounded below.

Metric space

The discussion of sequences above is for sequences of real numbers. The notion of limits can be defined for sequences valued in more abstract spaces, such as metric spaces. If is a metric space with distance function and is a sequence in then the limit of the sequence is an element such that, given there exists an such that for each we have
An equivalent statement is that if the sequence of real numbers
Example: ''n''
An important example is the space of -dimensional real vectors, with elements where each of the are real, an example of a suitable distance function is the Euclidean distance, defined by
The sequence of points converges to if the limit exists and

Topological space

In some sense the most abstract space in which limits can be defined are topological spaces. If is a topological space with topology and is a sequence in then the limit of the sequence is a point such that, given a neighborhood of there exists an such that for every
is satisfied. In this case, the limit may not be unique. However it must be unique if is a Hausdorff space.

Function space

This section deals with the idea of limits of sequences of functions, not to be confused with the idea of limits of functions, discussed below.
The field of functional analysis partly seeks to identify useful notions of convergence on function spaces. For example, consider the space of functions from a generic set to Given a sequence of functions such that each is a function suppose that there exists a function such that for each
Then the sequence is said to converge pointwise to However, such sequences can exhibit unexpected behavior. For example, it is possible to construct a sequence of continuous functions which has a discontinuous pointwise limit.
Another notion of convergence is uniform convergence. The uniform distance between two functions is the maximum difference between the two functions as the argument is varied. That is,
Then the sequence is said to uniformly converge or have a uniform limit of if with respect to this distance. The uniform limit has "nicer" properties than the pointwise limit. For example, the uniform limit of a sequence of continuous functions is continuous.
Many different notions of convergence can be defined on function spaces. This is sometimes dependent on the regularity of the space. Prominent examples of function spaces with some notion of convergence are Lp spaces and Sobolev space.

In functions

Suppose is a real-valued function and is a real number. Intuitively speaking, the expression
means that can be made to be as close to as desired, by making sufficiently close to. In that case, the above equation can be read as "the limit of of, as approaches, is ".
Formally, the definition of the "limit of as approaches " is given as follows. The limit is a real number so that, given an arbitrary real number , there is a such that, for any satisfying it holds that This is known as the -definition of limit.
The inequality is used to exclude from the set of points under consideration, but some authors do not include this in their definition of limits, replacing with simply This replacement is equivalent to additionally requiring that be continuous at
It can be proven that there is an equivalent definition which makes manifest the connection between limits of sequences and limits of functions. The equivalent definition is given as follows. First observe that for every sequence in the domain of, there is an associated sequence the image of the sequence under The limit is a real number so that, for all sequences the associated sequence

One-sided limit

It is possible to define the notion of having a "left-handed" limit, and a notion of a "right-handed" limit. These need not agree. An example is given by the positive indicator function, defined such that if and if At the function has a "left-handed limit" of 0, a "right-handed limit" of 1, and its limit does not exist. Symbolically, this can be stated as, for this example, and and from this it can be deduced does not exist, because

Infinity in limits of functions

It is possible to define the notion of "tending to infinity" in the domain of
This could be considered equivalent to the limit as a reciprocal tends to 0:
or it can be defined directly: the "limit of as tends to positive infinity" is defined as a value such that, given any real there exists an so that for all The definition for sequences is equivalent: As we have
In these expressions, the infinity is normally considered to be signed ( or and corresponds to a one-sided limit of the reciprocal. A two-sided infinite limit can be defined, but an author would explicitly write to be clear.
It is also possible to define the notion of "tending to infinity" in the value of
Again, this could be defined in terms of a reciprocal:
Or a direct definition can be given as follows: given any real number there is a so that for the absolute value of the function A sequence can also have an infinite limit: as the sequence
This direct definition is easier to extend to one-sided infinite limits. While mathematicians do talk about functions approaching limits "from above" or "from below", there is not a standard mathematical notation for this as there is for one-sided limits.

Nonstandard analysis

In non-standard analysis, the limit of a sequence can be expressed as the standard part of the value of the natural extension of the sequence at an infinite hypernatural index. Thus,
Here, the standard part function "st" rounds off each finite hyperreal number to the nearest real number. This formalizes the natural intuition that for "very large" values of the index, the terms in the sequence are "very close" to the limit value of the sequence. Conversely, the standard part of a hyperreal represented in the ultrapower construction by a Cauchy sequence is simply the limit of that sequence:
In this sense, taking the limit and taking the standard part are equivalent procedures.

Limit sets

Limit set of a sequence

Let be a sequence in a topological space For concreteness, can be thought of as but the definitions hold more generally. The limit set is the set of points such that if there is a convergent subsequence with then belongs to the limit set. In this context, such an is sometimes called a limit point.
A use of this notion is to characterize the "long-term behavior" of oscillatory sequences. For example, consider the sequence Starting from n=1, the first few terms of this sequence are It can be checked that it is oscillatory, so has no limit, but has limit points

Limit set of a trajectory

This notion is used in dynamical systems, to study limits of trajectories. Defining a trajectory to be a function the point is thought of as the "position" of the trajectory at "time" The limit set of a trajectory is defined as follows. To any sequence of increasing times there is an associated sequence of positions If is the limit set of the sequence for any sequence of increasing times, then is a limit set of the trajectory.
Technically, this is the -limit set. The corresponding limit set for sequences of decreasing time is called the -limit set.
An illustrative example is the circle trajectory: This has no unique limit, but for each the point is a limit point, given by the sequence of times But the limit points need not be attained on the trajectory. The trajectory also has the unit circle as its limit set.

Uses

Limits are used to define a number of important concepts in analysis.

Series

A particular expression of interest which is formalized as the limit of a sequence is sums of infinite series. These are "infinite sums" of real numbers, generally written as
This is defined through limits as follows: given a sequence of real numbers, the sequence of partial sums is defined by
If the limit of the sequence exists, the value of the expression is defined to be the limit. Otherwise, the series is said to be divergent.
A classic example is the Basel problem, where Then
However, while for sequences there is essentially a unique notion of convergence, for series there are different notions of convergence. This is due to the fact that the expression does not discriminate between different orderings of the sequence, while the convergence properties of the sequence of partial sums can depend on the ordering of the sequence.
A series which converges for all orderings is called unconditionally convergent. It can be proven to be equivalent to absolute convergence. This is defined as follows. A series is absolutely convergent if is well defined. Furthermore, all possible orderings give the same value.
Otherwise, the series is conditionally convergent. A surprising result for conditionally convergent series is the Riemann series theorem: depending on the ordering, the partial sums can be made to converge to any real number, as well as

Power series

A useful application of the theory of sums of series is for power series. These are sums of series of the form
Often is thought of as a complex number, and a suitable notion of convergence of complex sequences is needed. The set of values of for which the series sum converges is a circle, with its radius known as the radius of convergence.

Continuity of a function at a point

The definition of continuity at a point is given through limits.
The above definition of a limit is true even if Indeed, the function need not even be defined at. However, if is defined and is equal to then the function is said to be continuous at the point
Equivalently, the function is continuous at if as or in terms of sequences, whenever then
An example of a limit where is not defined at is given below.
Consider the function
then is not defined, yet as moves arbitrarily close to 1, correspondingly approaches 2:

Thus, can be made arbitrarily close to the limit of 2—just by making sufficiently close to In other words,
This can also be calculated algebraically, as for all real numbers.
Now, since is continuous in at 1, we can now plug in 1 for, leading to the equation
In addition to limits at finite values, functions can also have limits at infinity. For example, consider the function
where:
As becomes extremely large, the value of approaches, and the value of can be made as close to as one could wish—by making sufficiently large. So in this case, the limit of as approaches infinity is, or in mathematical notation,

Continuous functions

An important class of functions when considering limits are continuous functions. These are precisely those functions which preserve limits, in the sense that if is a continuous function, then whenever in the domain of then the limit exists and furthermore is
In the most general setting of topological spaces, a short proof is given below:
Let be a continuous function between topological spaces and By definition, for each open set in the preimage is open in
Now suppose is a sequence with limit in Then is a sequence in and is some point.
Choose a neighborhood of Then is an open set which in particular contains and therefore is a neighborhood of By the convergence of to there exists an such that for we have
Then applying to both sides gives that, for the same for each we have Originally was an arbitrary neighborhood of so This concludes the proof.
In real analysis, for the more concrete case of real-valued functions defined on a subset that is, a continuous function may also be defined as a function which is continuous at every point of its domain.

Limit points

In topology, limits are used to define limit points of a subset of a topological space, which in turn give a useful characterization of closed sets.
In a topological space consider a subset A point is called a limit point if there is a sequence in such that
The reason why is defined to be in rather than just is illustrated by the following example. Take and Then, and therefore is the limit of the constant sequence But is not a limit point of.
A closed set, which is defined to be the complement of an open set, is equivalently any set which contains all its limit points.

Derivative

The derivative is defined formally as a limit. In the scope of real analysis, the derivative is first defined for real functions The derivative at is defined as follows. If the limit of
as exists, then the derivative at is this limit.
Equivalently, it is the limit as of
If the derivative exists, it is commonly denoted by

Properties

Sequences of real numbers

For sequences of real numbers, a number of properties can be proven. Suppose and are two sequences converging to and respectively.
  • Sum of limits is equal to limit of sum
  • Product of limits is equal to limit of product
  • Inverse of limit is equal to limit of inverse
Equivalently, the function is continuous about nonzero.

Cauchy sequences

A property of convergent sequences of real numbers is that they are Cauchy sequences. The definition of a Cauchy sequence is that for every real number, there is an such that whenever,
Informally, for any arbitrarily small error, it is possible to find an interval of diameter such that eventually the sequence is contained within the interval.
Cauchy sequences are closely related to convergent sequences. In fact, for sequences of real numbers they are equivalent: any Cauchy sequence is convergent.
In general metric spaces, it continues to hold that convergent sequences are also Cauchy. But the converse is not true: not every Cauchy sequence is convergent in a general metric space. A classic counterexample is the rational numbers,, with the usual distance. The sequence of decimal approximations to, truncated at the th decimal place is a Cauchy sequence, but does not converge in.
A metric space in which every Cauchy sequence is also convergent, that is, Cauchy sequences are equivalent to convergent sequences, is known as a complete metric space.
One reason Cauchy sequences can be "easier to work with" than convergent sequences is that they are a property of the sequence alone, while convergent sequences require not just the sequence but also the limit of the sequence.

Order of convergence

Beyond whether or not a sequence converges to a limit, it is possible to describe how fast a sequence converges to a limit. One way to quantify this is using the order of convergence of a sequence.
A formal definition of order of convergence can be stated as follows. Suppose is a sequence of real numbers which is convergent with limit. Furthermore, for all. If positive constants and exist such that
then is said to converge to with order of convergence. The constant is known as the asymptotic error constant.
Order of convergence is used for example the field of numerical analysis, in error analysis.

Computability

Limits can be difficult to compute. There exist limit expressions whose modulus of convergence is undecidable. In recursion theory, the limit lemma proves that it is possible to encode undecidable problems using limits.
There are several theorems or tests that indicate whether the limit exists. These are known as convergence tests. Examples include the ratio test and the squeeze theorem. However they may not tell how to compute the limit.