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Comprehensive vocabulary and formula flashcards for AP Calculus BC, covering limits, derivatives, integrals, differential equations, and series.
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Limit Existence Condition
A limit limx→af(x) exists if and only if the left-sided limit and right-sided limit are equal: limx→a−f(x)=limx→a+f(x)
Continuity at a Point
A function is continuous at a point a if 1. f(a) exists, 2. limx→af(x) exists, and 3. limx→af(x)=f(a)
Types of Discontinuities
These include removable discontinuities (holes), jump discontinuities, and vertical asymptotes (where limx→af(x)=±∞)
Differentiability Breakers
Factors that prevent a function from being differentiable at a point, including discontinuities, corners (e.g., ∣x∣), and cusps (e.g., x2/3)
Special Trigonometric Limits
Limits derived from the Squeeze (Sandwich) Theorem, such as limx→0bxsin(ax)=ba and limx→0x1−cos(x)=0
Intermediate Value Theorem (IVT)
If f(x) is continuous on [a,b], then f(x) takes on every value between f(a) and f(b)
Mean Value Theorem (MVT)
If f(x) is continuous on [a,b] and differentiable on (a,b), there exists a value c where a < c < b such that f′(c)=b−af(b)−f(a)
L'Hôpital's Rule
If limx→ag(x)f(x) results in an indeterminate form 00 or ∞∞, then the limit equals limx→ag′(x)f′(x)
Formal Derivative Definition
The derivative defined as the limit of the difference quotient: f′(x)=limh→0hf(x+h)−f(x)
Product Rule
The rule for differentiating the product of two functions: dxd[f(x)g(x)]=f(x)g′(x)+f′(x)g(x)
Quotient Rule
The rule for differentiating a fraction: dxd[g(x)f(x)]=(g(x))2f′(x)g(x)−f(x)g′(x)
Chain Rule
The rule for differentiating composite functions: dxd[f(g(x))]=f′(g(x))×g′(x)
Derivative of an Inverse Function
The formula given by dxd[f−1(x)]=f′(f−1(x))1
Critical Points
Points on a function where f′(x)=0 or f′(x) is undefined
Inflection Points
Points where the second derivative f′′(x)=0 or is undefined and f′′(x) changes sign
Extreme Value Theorem (EVT)
States that if f(x) is continuous on a closed interval [a,b], it must have both an absolute maximum and an absolute minimum
First Derivative Test
A method to find local extrema: if f′(x) changes from positive to negative, it is a local max; if it changes from negative to positive, it is a local min
Concavity Conditions
If f''(x) > 0, the function is concave up (∪); if f''(x) < 0, the function is concave down (∩)
Second Derivative Test
A method to identify extrema using the second derivative: if f′(c)=0 and f′′(c)<0, it is a local max; if f′(c)=0 and f′′(c)>0, it is a local min
Related Rates Plan
A 4-step process: 1. Find (identify target rate), 2. Given (identify knowns), 3. Equation (relate variables), 4. Derivative (differentiate with respect to t)
Linearization
Also known as tangent line approximation, calculated as f(x)≈f(a)+f′(a)(x−a)
Riemann Sum (Trapezoidal Rule)
An approximation of an integral using trapezoids: Tn=2Δx[f(x0)+2f(x1)+…+2f(xn−1)+f(xn)]
Fundamental Theorem of Calculus (Part 1)
States that dxd∫axf(t)dt=f(x)
Integration by Parts
The formula used to integrate products of functions: ∫udv=uv−∫vdu
Average Value of a Function
The average value of f(x) on [a,b] is favg=b−a1∫abf(x)dx
Washer Method (Volume)
Volume formula for revolving a region around the x-axis with a hole: V=π∫ab[(f(x))2−(g(x))2]dx
Shell Method (Volume)
Volume of revolution formula (around y-axis): V=2π∫abxf(x)dx
Arc Length (Rectangular)
The length of a curve from a to b: L=∫ab1+(dxdy)2dx
Euler's Method
A recursive numerical method to approximate the solution of a differential equation using the linearization step: ynew=yold+m(Δx)
Logistic Growth Model
A population model defined by the differential equation dtdP=kP(1−MP), where M is the carrying capacity
Area of a Polar Curve
The area bounded by a polar function from θ1=α to θ2=β is A=21∫αβ(r(θ))2dθ
Geometric Series Convergence
The series ∑arn converges to 1−ra if |r| < 1 and diverges if ∣r∣≥1
Taylor Series Formula
An infinite sum centered at a: ∑n=0∞n!f(n)(a)(x−a)n
Maclaurin Series for sin(x)
The expansion: x−3!x3+5!x5−7!x7+…=∑n=0∞(−1)n(2n+1)!x2n+1
Lagrange Error Bound
The remainder of a Taylor polynomial: ∣Rn(x)∣≤(n+1)!M∣x−c∣n+1, where M is the maximum value of ∣f(n+1)(z)∣ between c and x
Ratio Test
A test for convergence where L=limn→∞∣anan+1∣; converges if L<1, diverges if L>1, and is inconclusive if L=1
Absolute vs. Conditional Convergence
Absolute convergence occurs if ∑∣an∣ converges; conditional convergence occurs if ∑an converges but ∑∣an∣ diverges
Maclaurin Series of 1−x1
n=0∑axn
Maclaurin Series of ex
n=0∑an!xn
Maclaurin Series of cosx
n=0∑a(2n)!(−1)nx2n
Maclaurin Series of tan−1(x)
n=0∑a−12n+1(−1)nx(2n+1)
Maclaurin Series for ln(1+x)
n=1∑an(−1)(n−1)xn