Direct substitution for polynomials and rational functions, the squeeze theorem, how limits respect inequalities, and the algebra that rescues limits of the form zero over zero.
The limit laws handle expressions built from pieces with known limits. Two kinds of problem are still out of reach. One is an expression like (x2−4)/(x−2) at 2, where the bottom goes to 0. The other is something like x2sin(1/x) at 0, where one factor has no limit at all. The theorems here deal with both, and they also make plugging in legitimate when it works.
Key terms
Direct substitution for polynomials and rational functions
Definition If p is a polynomial, then limx→ap(x)=p(a) for every real a. If r=p/q with p and q polynomials and q(a)=0, then
x→alimr(x)=r(a)=q(a)p(a).
Both statements follow from the limit laws together with limx→ac=c and limx→ax=a.
In plain words For polynomials, and for rational functions where the denominator is not zero, the limit is just the value. Plug in.
Example The denominator is 5=0 at x=2, so plugging in is allowed.
x→2limx2+1x3−2x+1=4+18−4+1=1.
Algebraic cancellation
Definition If f(x)=g(x) for every x=a in some open interval containing a, and limx→ag(x) exists, then limx→af(x) exists and equals it. For a rational function with p(a)=q(a)=0, the factor x−a divides both p and q, and cancelling it gives such a g.
In plain words When plugging in gives 0/0, factor and cancel. The new expression agrees with the old one everywhere except at a, and that is all a limit looks at.
Example Plugging x=2 into (x2−5x+6)/(x−2) gives 0/0. For x=2 we can factor and cancel,
x−2x2−5x+6=x−2(x−2)(x−3)=x−3,
so the limit is 2−3=−1.
Rationalization
Definition Rationalization multiplies the numerator and the denominator of a quotient by the conjugate A+B, which is allowed wherever A+B=0, and then uses the identity
(A−B)(A+B)=A−B,A,B≥0.
The result is an expression equal to the original for x=a near a, often one where a factor can be cancelled.
In plain words A difference of square roots hides the factor you want to cancel. Multiplying by the conjugate brings it out.
Example For x>−9 and x=0,
xx+9−3=x(x+9+3)(x+9)−9=x+9+31,
and the last expression is a continuous function you can plug x=0 into. So
x→0limxx+9−3=61.
At x=0.01 the original quotient is about 0.16662, close to 1/6≈0.16667.
Order and comparison
Definition If f(x)≤g(x) for every x=a in some open interval containing a, and both limx→af(x) and limx→ag(x) exist, then
x→alimf(x)≤x→alimg(x).
A strict inequality f(x)<g(x) near a still only gives ≤ for the limits. A related fact is sign preservation. If limx→af(x)=L>0, then f(x)>0 for every x=a in some open interval around a.
In plain words Limits keep inequalities, but strict ones can turn into equality in the limit.
Example For x=0 we have x2>0, yet limx→0x2=0. So strictness is lost. As an example of the non-strict version, cosx≤1 for all x gives limx→0cosx≤1, which matches the actual value 1.
Squeeze theorem
Definition Suppose g(x)≤f(x)≤h(x) for every x=a in some open interval containing a, and
x→alimg(x)=x→alimh(x)=L.
Then limx→af(x)=L. Note that f is not assumed to have a limit. The theorem proves that it does.
In plain words If a function is trapped between two others that head to the same number, it has no choice but to go there too.
Example For x=0 the value sin(1/x) lies between −1 and 1. Multiplying by x2≥0 gives
−x2≤x2sinx1≤x2.
Both outer functions tend to 0 as x→0, so
x→0limx2sinx1=0.
Local boundedness
Definition A function g is bounded near a if there are numbers δ>0 and K such that ∣g(x)∣≤K whenever 0<∣x−a∣<δ. If limx→af(x)=L exists as a real number, then f is bounded near a. Indeed, the definition of the limit with ε=1 gives δ>0 such that 0<∣x−a∣<δ implies
∣f(x)∣≤∣f(x)−L∣+∣L∣<1+∣L∣.
The converse is false. A consequence used often is this. If g is bounded near a and limx→af(x)=0, then limx→af(x)g(x)=0. The reason is that 0≤∣f(x)g(x)∣≤K∣f(x)∣ near a, and K∣f(x)∣→0, so the squeeze theorem gives ∣f(x)g(x)∣→0, which is the same as f(x)g(x)→0.
In plain words A function with a limit cannot blow up near the point. And something bounded times something going to zero goes to zero, even when the bounded factor has no limit of its own.
Example The function f(x)=(x2−1)/(x−1) has limit 2 at 1. With δ=1, every x with 0<∣x−1∣<1 gives f(x)=x+1∈(1,3), so ∣f(x)∣<3=∣2∣+1. The function sin(1/x) shows the converse fails, since it is bounded by 1 but has no limit at 0. Its boundedness is still useful, because x→0 and ∣sin(1/x)∣≤1 give
x→0limxsinx1=0.
Check yourself
Find the limit
h→0limh(2+h)2−4.Show the answer
For h=0 the quotient simplifies to
h4h+h2=4+h,
so the limit is 4.
Find the limit
x→4limx−4x−2.Show the answer
Multiply the numerator and the denominator by x+2. For x≥0 with x=4 this gives
x−4x−2=(x−4)(x+2)x−4=x+21,
so the limit is 1/(2+2)=1/4.
Find limx→0xcos(1/x2).
Show the answer
Since ∣cos(1/x2)∣≤1 for x=0, we have
−∣x∣≤xcosx21≤∣x∣,
and both bounds tend to 0. By the squeeze theorem the limit is 0.
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