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  1. AP Calculus
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Glossary

A

Accumulation functions

Criticality: 3

Functions defined by an integral with a variable upper limit, representing the accumulated change of a rate over an interval.

Example:

If a car's velocity is given by v(t)v(t)v(t), then s(x)=∫0xv(t)dts(x) = \int_0^x v(t) dts(x)=∫0x​v(t)dt is an accumulation function representing the total distance traveled from time 0 to xxx.

Antiderivatives

Criticality: 3

A function whose derivative is the original function; it is the reverse operation of differentiation.

Example:

If f(x)=2xf(x) = 2xf(x)=2x, then F(x)=x2+CF(x) = x^2 + CF(x)=x2+C is an antiderivative of f(x)f(x)f(x), where C is any constant.

Area under the curve

Criticality: 3

The definite integral of a function over an interval, representing the net signed area between the function's graph and the x-axis.

Example:

The area under the curve of a velocity function from time t1t_1t1​ to t2t_2t2​ gives the total displacement of an object during that time interval.

C

Concave Down (F(x))

Criticality: 2

A function $F(x)$ is concave down on an interval if its second derivative, $F''(x)$, is negative on that interval, indicating the slope is decreasing.

Example:

If F′′(x)=−x2F''(x) = -x^2F′′(x)=−x2, then F(x)F(x)F(x) is always concave down because −x2≤0-x^2 \le 0−x2≤0 for all xxx.

Concave Up (F(x))

Criticality: 2

A function $F(x)$ is concave up on an interval if its second derivative, $F''(x)$, is positive on that interval, indicating the slope is increasing.

Example:

If F′′(x)=exF''(x) = e^xF′′(x)=ex, then F(x)F(x)F(x) is always concave up because ex>0e^x > 0ex>0 for all xxx.

Critical Points

Criticality: 2

Points in the domain of a function where the first derivative is either zero or undefined, which are candidates for local extrema.

Example:

For F(x)=x3−3xF(x) = x^3 - 3xF(x)=x3−3x, F′(x)=3x2−3F'(x) = 3x^2 - 3F′(x)=3x2−3. Setting F′(x)=0F'(x)=0F′(x)=0 gives x=±1x=\pm 1x=±1, which are the critical points.

D

Decreasing (F(x))

Criticality: 2

A function $F(x)$ is decreasing on an interval if its first derivative, $F'(x)$, is negative on that interval.

Example:

If F′(x)=x2−4F'(x) = x^2 - 4F′(x)=x2−4, then F(x)F(x)F(x) is decreasing on (−2,2)(-2, 2)(−2,2) because F′(x)<0F'(x) < 0F′(x)<0 there.

E

Endpoints

Criticality: 2

The boundary values of a closed interval over which a function is being analyzed, which must be considered when finding absolute extrema.

Example:

To find the absolute maximum of F(x)F(x)F(x) on [0,5][0, 5][0,5], you must evaluate F(x)F(x)F(x) at any critical points within (0,5)(0,5)(0,5) and at the endpoints x=0x=0x=0 and x=5x=5x=5.

F

Fundamental Theorem of Calculus (FTC)

Criticality: 3

A foundational theorem linking differentiation and integration, stating that the derivative of an accumulation function is the integrand, and that definite integrals can be evaluated using antiderivatives.

Example:

The FTC allows us to find the exact area under f(x)=x2f(x) = x^2f(x)=x2 from 0 to 2 by evaluating its antiderivative F(x)=x3/3F(x) = x^3/3F(x)=x3/3 at the bounds: F(2)−F(0)=8/3F(2) - F(0) = 8/3F(2)−F(0)=8/3.

I

Increasing (F(x))

Criticality: 2

A function $F(x)$ is increasing on an interval if its first derivative, $F'(x)$, is positive on that interval.

Example:

If F′(x)=cos⁡(x)F'(x) = \cos(x)F′(x)=cos(x), then F(x)F(x)F(x) is increasing on (0,π/2)(0, \pi/2)(0,π/2) because cos⁡(x)>0\cos(x) > 0cos(x)>0 there.

Inflection Point (F(x))

Criticality: 3

A point on the graph of a function where the concavity changes (from concave up to down or vice versa), meaning the second derivative changes sign.

Example:

For F(x)=x3F(x) = x^3F(x)=x3, F′′(x)=6xF''(x) = 6xF′′(x)=6x. At x=0x=0x=0, F′′(x)F''(x)F′′(x) changes sign, so (0,0)(0,0)(0,0) is an inflection point.

R

Relative Maximum (F(x))

Criticality: 3

A point where a function changes from increasing to decreasing, meaning its first derivative changes from positive to negative.

Example:

If F′(x)F'(x)F′(x) changes from positive to negative at x=cx=cx=c, then F(c)F(c)F(c) is a relative maximum of F(x)F(x)F(x).

Relative Minimum (F(x))

Criticality: 3

A point where a function changes from decreasing to increasing, meaning its first derivative changes from negative to positive.

Example:

If F′(x)F'(x)F′(x) changes from negative to positive at x=cx=cx=c, then F(c)F(c)F(c) is a relative minimum of F(x)F(x)F(x).