Limit Laws and the ε–δ Definition
The Limit Laws reduce a limit to arithmetic on simpler limits, and direct substitution settles polynomials and rational functions outright. The 0/0 forms that resist substitution yield to algebra or the Squeeze Theorem, and the ε–δ definition makes "arbitrarily close" precise as a pair of quantified inequalities.
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The intuitive definition
explains what a limit means but not how to compute one without a table. The Limit
Laws close that gap: limits respect the arithmetic operations, so a complicated limit
assembles from trivial ones. Where the laws stall, on the indeterminate form,
algebra or the Squeeze Theorem takes over, and the - definition
replaces arbitrarily close
with quantified inequalities that support proof.
The Limit Laws
Stated in words: the limit of a sum is the sum of the limits, the limit of a product is the product of the limits, and so on, with the one caveat that a quotient needs a nonzero denominator limit.1 Repeated application of the Product Law to gives a Power Law, and inverting a power gives a Root Law:
the root form requiring when is even. Two base cases seed everything, and both are immediate from the definition:
From the base cases and the laws, a limit like evaluates by structure alone: powers of the limit , scaled and summed, giving . Written out, each step names the law that licenses it.
For a rational function the Quotient Law applies once the denominator's limit is seen to be nonzero.
Direct substitution
That last computation is an instance of a general shortcut.
For these functions, evaluating the limit is nothing more than plugging in . This property characterizes the continuous functions. Substitution disposes of any limit where the direct value is defined; the remaining cases are those where it is not.
Indeterminate forms
When substitution yields , the expression is an indeterminate form: the quotient's limit could be any number, and the form alone decides nothing. The value in the denominator flags a common factor of shared with the numerator, and removing it usually reveals the limit.
Factoring. For
substitution gives . Factor and cancel the offending , legitimate because the limit ignores itself:
Rationalizing. When a square root blocks factoring, multiply by the conjugate. For
multiply top and bottom by :
Now substitution works, giving .
Combining fractions. A quotient of fractions clears once the numerator is put over a common denominator.
The three tactics — factor-and-cancel, rationalize, and combine fractions — handle most algebraic forms.
| Form after substitution | Meaning | First tactic |
|---|---|---|
| a defined number | limit equals it | direct substitution |
| shared factor | factor and cancel, or rationalize | |
| (nonzero) | vertical asymptote | one-sided limits, |
The Squeeze Theorem
Some limits resist algebra entirely, and for those a comparison argument works. First, limits preserve the ordering of functions.
Trapping a function between two others that share a limit pins its limit as well.
The standard application handles an oscillation that never settles.
The oscillation is real, but its amplitude is crushed to zero by the envelope.
The precise definition
Arbitrarily close
and sufficiently close
carry the intuitive definition but are
too vague to prove theorems with. The - definition replaces them
with quantified inequalities.
Here measures a target tolerance on the output and a tolerance on the input. The statement reads geometrically: for any horizontal band of half-width around , there is a vertical strip of half-width around whose graph (excluding ) lands entirely inside the band. The clause excludes , matching the limit's indifference to .
The definition frames a contest between two parties. One names a tolerance , however small; the other must supply a that keeps the output within . The limit equals precisely when the second party can always answer, no matter how small the first makes .
A worked ε–δ proof
To prove , work backward from the target to find the , then present the argument forward.
Finding . The output tolerance is . Simplify the left side:
This is below exactly when , so is the choice.
The structure is the same for every such proof: solve the output inequality for to discover , then verify.
A nonlinear function makes the last step harder. The factor multiplying is no longer constant, so it must first be bounded by restricting to a small window, which forces to be the smaller of two constraints.
A one-sided limit uses the same template with the input interval halved to one side. The right-hand definition asks that whenever .
- 1let be given
- 2simplify to expose the factor
- 3solve for to obtain a bound
- 4choose
- 5assume
- 6derive from the assumption
- 7conclude the limit equals
The Limit Laws themselves rest on this definition: the Sum Law, for instance, follows by choosing so that and are each below , whence by the triangle inequality. Once proved, the laws evaluate complicated limits without returning to and .
Footnotes
- Stewart, §1.6 — the Limit Laws (sum, difference, constant multiple, product, quotient) with the power and root laws, the Direct Substitution Property, and the Squeeze Theorem. ↩
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