Limits at Infinity and Asymptotic Growth
Learning Objectives
- State the definition of and prove a simple case with explicit and .
- Evaluate limits at infinity of rational functions and of expressions with roots, including the sign care needed at .
- Find horizontal, vertical, and slant asymptotes of a function, and tell an asymptote from a hole.
- Order logarithms, powers, and exponentials by growth, and say precisely what "grows faster" means.
- Use the limit of a ratio to decide Big-O relationships, and name the case where that test cannot decide.
Context & Motivation
The question behind asymptotic analysis is what a function does at the far end of its domain. In big-o-and-asymptotic-complexity, is when for all , and the growth rates there are ordered with tables and with crossover points such as where meets . That lesson gives the notation and the definition. This one supplies the calculus underneath: a limit of a ratio as the variable grows without bound is a computation, and for the common function families it settles the comparison without a table.
Limits at infinity also describe long-run behavior in general: the steady state of a system, the speed of a falling object approaching terminal velocity, the learning rate that decays toward zero. The tools are those of limit-laws-and-indeterminate-forms, now applied to instead of .
Core Theory
Limits as x grows without bound
Definition. Let be defined on some interval . Then means: for every there is a number such that
This is the earlier - game with " near " replaced by " far out". The statement means that for every there is an with ; as before, the symbol describes how the limit fails to be a real number. The case is the mirror image. The limit laws from the previous lesson hold for limits at infinity with the same proofs, with the same hypotheses (parts must have finite limits; a quotient needs a nonzero denominator limit).
Two building blocks: for every , and .
Real variable versus integer variable. Big-O is stated for integers . If , then along the integers, since the integers are among the 's that must be close. The converse fails: equals at every integer, so along the integers its limit is , but as a function of real it has no limit.
Rational functions: compare degrees
For with of degree and of degree , divide numerator and denominator by :
- : the limit at is ;
- : the limit is the ratio of leading coefficients;
- : there is no finite limit; grows without bound in magnitude.
Roots demand care with signs. For , , but for , . This is why while . The difference is an form, resolved by multiplying by the conjugate (Example 3).
Asymptotes
- A horizontal asymptote is a line with or . A function can have none (), one ( has at only), or two ( has and ).
- A vertical asymptote is a line at which at least one one-sided limit is .
- A slant asymptote is a line with as . Rational functions whose numerator degree is exactly one more than the denominator degree have one.
Two corrections to common pictures. An asymptote is not a barrier the graph never touches: has the horizontal asymptote and crosses it at every nonzero multiple of , infinitely often. And a point where the formula is does not automatically give a vertical asymptote; it may be a hole, where the limit is finite (Example 2).
The dominance hierarchy
Say that grows more slowly than (written ) when . For every , , and :
So any power of the logarithm is beaten by any positive power of , however small, and any power of is beaten by any exponential with base above , however close to . The base condition is necessary: for , . The proofs are cleanest with lhopitals-rule. For a quick argument that , note that the ratio of consecutive terms is , which tends to , so the terms eventually shrink by roughly a constant factor at every step.
"Eventually" can be very far away. Compare with through against . The curves cross near and again near , and stays above only from the second crossing on. At , while ; at the exponential finally leads, against . Similarly stays above only beyond about ; for the logarithm is larger. The hierarchy is a statement about the limit, not about any particular size.
From the ratio limit to Big-O
Let be positive for large arguments and suppose exists in .
- implies . Taking in the definition, beyond some point, so and that point serve as the constants.
- means the two have the same order: and .
- means : but , because beats any constant.
- implies .
The hypothesis that the limit exists matters. When it does not, the test is silent. Take and . The ratio stays between and and keeps returning near both values, so it has no limit, yet and hold for all : the two are of the same order. So can be true with no limit. The limit test proves relations when it works and proves nothing when it does not.
Worked Examples
Example 1: an - proof
Prove . For ,
This is less than exactly when . So take . Concretely, gives , gives , and gives . Scanning beyond each , the error is never above , and at it equals exactly, so for this choice of the strict inequality is needed. Each tenfold increase in accuracy costs a roughly tenfold increase in here (from to to ): the error shrinks like .
Example 2: asymptotes versus a hole
Let . For this equals .
- Horizontal. The degrees are equal, so the limit at is the ratio of leading coefficients, . Numerically, and : the graph approaches from below on the right and from above on the left. The equation has no solution, so here the graph never crosses it.
- Vertical at . The numerator tends to and the denominator to . From the right, and (); from the left, (). The two-sided limit does not exist.
- Hole at . The form is . After cancelling, . This is a finite limit, so the line is not an asymptote.
Example 3: and floating point
Find . Multiplying by the conjugate, for :
Since , the limit is . Dividing by used , which is legitimate as . The form was indeterminate: has limit , and has limit . In double precision:
textx sqrt(x^2+x)-x x/(sqrt(x^2+x)+x) 1e+02 0.498756211209 0.498756211209 1e+04 0.499987500625 0.499987500625 1e+08 0.500000000000 0.499999998750 1e+16 2.000000000000 0.500000000000
At the subtraction has already lost digits (the true value is below ), and at it returns , because rounds to a number whose square root differs from by one unit in the last place. The rewritten form stays accurate.
Example 4: deciding Big-O with the ratio
- versus (the base of the logarithm only changes a constant factor): the ratio is , which is at , at , and at , tending to . So .
- versus : the ratio is at , at , at , and at . So . At the two are nearly equal, which is how a small- table can hide the difference.
- versus : the ratio is at , exactly at (the crossover in
big-o-and-asymptotic-complexity), and at . The limit is , so , whatever the constant. - versus : no limit, but same order, as shown above.
Common Misconceptions & Pitfalls
- " is a number, so and ." The forms are indeterminate. Among , , , and , all of type , the limits at infinity are , , , and .
- "A graph cannot cross its asymptote." A horizontal asymptote describes the far end, and crosses infinitely often.
- "Every point is a vertical asymptote." Example 2 has a hole at with finite limit .
- "." At it is , which flips the sign of limits such as .
- "Exponentials always win." Only with base . And "eventually" can be beyond practical sizes: stays ahead of from about to about .
- "If then has a limit." The converse of the ratio test is false (the example).
- "Along the integers the limit exists, so the real limit exists." is the counterexample.
Summary
A limit at infinity asks for a number beyond which the function stays within of ; the limit laws carry over unchanged. For rational functions the degrees decide: lower degree in the numerator gives , equal degrees give the ratio of leading coefficients, higher degree gives unbounded growth. Asymptotes are horizontal, vertical, or slant, a graph may cross a horizontal one, and a hole is not a vertical asymptote. Logarithmic powers are dominated by powers, and powers by exponentials with base above one, in the sense that the ratio tends to , though the crossover can lie far out. The limit of a ratio connects directly to Big-O: a finite limit gives , a zero limit gives strict domination, an infinite limit rules out , and a missing limit decides nothing. The next lesson, continuity-and-the-intermediate-value-theorem, returns to finite points and asks when the limit equals the value.