Before you begin
- MVT, derivative rules, limits, and tangent lines.
Learning objectives
- Recognize the forms to which L’Hôpital's rule applies.
- Derive Newton's update from a tangent approximation.
- Diagnose cycles and distinguish residual from root error.
Derivatives can help with limits and nonlinear equations, but neither operation becomes unconditional. A limit theorem requires hypotheses; an iterative method requires a starting point and convergence analysis. Getting a plausible decimal is not the same as having either guarantee.
L’Hôpital’s rule
One useful version is this: suppose and are differentiable on a deleted one-sided neighborhood of , is nonzero there, and both and tend to zero, or both have infinite magnitude. If tends to a finite or extended-real limit , then tends to . Corresponding versions apply to limits at infinity. For a two-sided result, establish the necessary behavior from both sides. The theorem follows from a generalized mean value theorem; it is a statement about a quotient of derivatives, not the derivative of the quotient.
Thus
This is a consistency check after exponential differentiation has been established, not an independent proof of the normalization used earlier. Using a theorem to prove one of its own prerequisites would be circular.
For , both numerator and denominator grow without bound and the derivative ratio is . In contrast, applying the rule to at zero is invalid: the numerator tends to , not zero or infinity. The original quotient has opposite unbounded one-sided behavior, while the derivative ratio tends to zero. The missing hypothesis changes the answer.
Rewrite other forms first
A product of a vanishing factor and an unbounded factor is not a quotient to which the rule directly applies. For as , write . The derivative ratio is , so the product tends to zero.
For a variable power, logarithms can expose a quotient. If for , then , so . Do not treat as a numerical evaluation; the particular limiting expression has been analyzed.
Newton’s tangent update
To solve , approximate the graph at a current guess by its tangent . The tangent’s zero is
provided . For , the update is . Starting at gives , , and , approaching .
Near a simple root , a twice continuously differentiable function with has a neighborhood in which suitably close starting guesses converge quadratically. Roughly, the next error is proportional to the square of the present error. This is a local theorem, not a guarantee from every starting value.
For , starting at zero gives and , an exact two-cycle. At a point with zero derivative, the displayed update may be undefined. For functions with several roots, a different starting guess can approach a different root or fail to converge.
Certifying an approximation
A small residual need not mean small distance to a root if the graph is flat. If a root and estimate lie in an interval where , MVT yields
Bisection offers a bracket-based error guarantee without requiring a nonzero derivative. A robust numerical procedure can retain a sign-changing bracket and accept Newton steps only when they stay within it, falling back to bisection otherwise. Root approximation and root existence remain separate pieces of the argument.
Exercises
- Evaluate by repeated justified applications of L’Hôpital’s rule.
- Evaluate .
- Explain why the rule cannot be applied directly to at zero.
- Take two Newton steps for starting at .
- Verify the two-cycle for starting at zero.
- If between an estimate and a known root and the residual is , bound root error.
Worked solutions
- The derivative ratios are , , and , yielding . Each earlier stage is , with nonzero derivative denominator on each deleted side.
- The form gives derivative ratio .
- The denominator tends to , so ordinary quotient limits give zero. The required indeterminate form is absent.
- ; .
- , , so the next value is . Then , , returning zero.
- At most .