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Local linearity
The idea that a function may be curved overall but looks approximately like a straight line when zoomed in near a point.
Derivative at a point
A measure of the slope of the line that best matches (is tangent to) the function right near that point.
Tangent line
The line that “best matches” a curve at a specific point; used for local approximation.
Tangent line equation at x = a
The line given by y = f(a) + f'(a)(x − a).
Linearization
The tangent-line function L(x) = f(a) + f'(a)(x − a) used to approximate f(x) near x = a.
Anchor point
The point (a, f(a)) that the linearization/tangent line passes through and is built around.
Slope in linearization
The value f'(a), which determines how steep the tangent line is at x = a.
Approximation via linearization
When x is close to a, f(x) ≈ L(x), meaning the function value is estimated by the tangent line value.
Concavity (role in error)
The curve’s bending; as you move farther from a, concavity causes the function to drift away from the tangent line, reducing accuracy.
Δx (delta x)
A small change in input; if starting at a, the new input is a + Δx.
Δy (delta y)
The actual change in output: Δy = f(a + Δx) − f(a).
Differentials
A notation system for estimating small changes using derivatives, often paired with linearization.
dx
A small change in the input used in differentials (often taken as dx = Δx when changes are small).
dy
The estimated change in the output from the tangent line: dy = f'(x) dx (so near a, dy ≈ f'(a)Δx).
Error propagation (measurement error)
Using derivatives/differentials to translate a small input uncertainty (like dr) into an estimated output uncertainty (like dV).
Common linearization mistake: missing (x − a)
Writing L(x) = f(a) + f'(a)x instead of f(a) + f'(a)(x − a); the incorrect form only works when a = 0.
Common linearization mistake: confusing Δy and dy
Treating dy (estimated change) as the same as Δy (actual change), or treating dy as exact.
Indeterminate form
A limit expression (like 0/0 or ∞/∞) that does not determine the limit value without further analysis.
L’Hôpital’s Rule
A method for evaluating limits of quotients in 0/0 or ∞/∞ form by replacing f/g with f'/g' (when conditions are met).
0/0 form
An indeterminate form where both numerator and denominator approach 0, allowing L’Hôpital’s Rule (if differentiability conditions hold).
∞/∞ form
An indeterminate form where both numerator and denominator grow without bound, allowing L’Hôpital’s Rule (if differentiability conditions hold).
Indeterminate-form verification (L’Hôpital requirement)
The step of checking that substitution gives 0/0 or ∞/∞ before applying L’Hôpital; skipping this is a common pitfall.
Repeated L’Hôpital application
Applying L’Hôpital’s Rule more than once if the differentiated limit is still in 0/0 or ∞/∞ form.
Converting 0·∞ to a quotient
Rewriting a product like x ln x as a fraction (e.g., ln x ÷ (1/x)) to create an ∞/∞ or 0/0 form for L’Hôpital.
Conjugate (for resolving ∞ − ∞)
An algebra tool used to rewrite expressions like √(x²+x) − x by multiplying by √(x²+x) + x to turn a difference into a quotient.