1/39
Vocabulary flashcards covering differentiation rules, limits, derivatives of trigonometric and inverse trigonometric functions, parametric and implicit differentiation, logarithmic differentiation, linearization, differentials, and rates of change.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Tangent line
A straight line passing through a point P on a curve that touches the curve at P and meets it at only one point in a sufficiently small neighborhood around P.
Secant line (Chord)
A straight line passing through any two points on a curve.
Increment
The change in a variable x, represented by Δx=new value of x−old value of x.
Average rate of change
The ratio ΔxΔf=x2−x1f(x2)−f(x1) representing the change in f per unit change in x over an interval.
Instantaneous rate of change
The limit limΔx→0ΔxΔf, representing the rate of change of f with respect to x at a specific moment.
Derivative at a point
The limit f′(c)=limx→cx−cf(x)−f(c), provided this limit exists.
Differentiable function on an open interval
A function f that is differentiable at every number c in the open interval (a,b).
Differentiability and Continuity Theorem
A theorem stating that if a function f is differentiable at x=c, then f is continuous at x=c.
Sum Rule for Differentiation
The rule stating that if f and g are differentiable at x=c, then (f+g)′(c)=f′(c)+g′(c).
Difference Rule for Differentiation
The rule stating that if f and g are differentiable at x=c, then (f−g)′(c)=f′(c)−g′(c).
Product Rule for Differentiation
The rule stating that if f and g are differentiable at x=c, then (fg)′(c)=f′(c)g(c)+f(c)g′(c).
Quotient Rule for Differentiation
The rule stating that if f and g are differentiable at x=c and g(c)=0, then (gf)′(c)=(g(c))2f′(c)g(c)−f(c)g′(c).
Reciprocal Rule for Differentiation
The rule stating that if g is differentiable at x=c and g(c)=0, then (g1)′(c)=−(g(c))2g′(c).
Chain Rule
The rule stating that if g(x) is differentiable at x=c and f(u) is differentiable at u=g(c), then (f∘g)′(c)=f′(g(c))g′(c), or in Leibniz notation, dxdf=dudf×dxdu.
Derivative of sin(x)
dxd(sin(x))=cos(x)
Derivative of cos(x)
dxd(cos(x))=−sin(x)
Derivative of tan(x)
dxd(tan(x))=sec2(x)
Derivative of sec(x)
dxd(sec(x))=sec(x)tan(x)
Derivative of csc(x)
dxd(csc(x))=−csc(x)cot(x)
Derivative of cot(x)
dxd(cot(x))=−csc2(x)
Derivative of ex
dxd(ex)=ex, making ex the only function that is equal to its own derivative.
Derivative of ax
dxd(ax)=axln(a) for a>0 and a=1.
Derivative of ln(x)
dxd(ln(x))=x1 for x>0.
Derivative of loga(x)
dxd(loga(x))=xln(a)1 for a>0 and a=1.
Parametric Differentiation
A technique to differentiate variables x=v(t) and y=u(t) with respect to each other using dxdy=dtdxdtdy=v′(t)u′(t), provided v′(t)=0.
Implicit Differentiation
A process using the chain rule to find dxdy when x and y are related by an equation F(x,y)=0 without solving for y explicitly.
Power Rule for Rational Exponents
The theorem stating that for r=nm (where n∈Z+ and m∈Z), dxd(xr)=rxr−1.
Logarithmic Differentiation
A technique where the natural logarithm ln(x) is taken on both sides of an equation y=f(x) before performing implicit differentiation, useful for functions with variable bases and exponents such as y=xx.
Derivative of Inverse Function Theorem
A theorem stating that if f is continuous and strictly monotonic with f′(x0)=0, then (f−1)′(y0)=f′(f−1(y0))1=f′(x0)1 where y0=f(x0).
Derivative of sin−1(x)
dxd(sin−1(x))=1−x21 for −1<x<1.
Derivative of cos−1(x)
dxd(cos−1(x))=−1−x21 for −1<x<1.
Derivative of tan−1(x)
dxd(tan−1(x))=1+x21 for x∈R.
Derivative of cot−1(x)
dxd(cot−1(x))=−1+x21 for x∈R.
Derivative of sec−1(x)
dxd(sec−1(x))=∣x∣x2−11 for x<−1 or x>1.
Derivative of csc−1(x)
dxd(csc−1(x))=−∣x∣x2−11 for x<−1 or x>1.
Linearization of f at a
The linear function L(x)=f(a)+f′(a)(x−a) used as a local linear approximation for f(x) near x=a.
Differential of f (df)
The estimated change in f given by df=L(a+dx)−L(a)=f′(a)dx for a small change dx.

Relative Change
The ratio of change to the initial value, where actual relative change is f(a)Δf and estimated relative change is f(a)df.
Percentage Change
The relative change expressed as a percentage, where actual percentage change is 100×f(a)Δf and estimated percentage change is 100×f(a)df.
Higher Derivatives
Derivatives obtained by repeatedly differentiating a function, such as the second derivative f′′(x)=dx2d2y, third derivative f′′′(x)=dx3d3y, and so on.