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Increasing (on an interval)
A function f is increasing on an interval if for any a<b in the interval, f(a)<f(b) (outputs rise as x moves left to right).
Decreasing (on an interval)
A function f is decreasing on an interval if for any af(b) (outputs fall as x moves left to right).
First derivative (f'(x))
Measures the instantaneous rate of change of f at x (the slope of the tangent line).
Derivative test for increasing
If f′(x)>0 for all x in an interval, then f is increasing on that interval.
Derivative test for decreasing
If f′(x)<0 for all x in an interval, then f is decreasing on that interval.
Critical number
A value c in the domain of f where either f'(c)=0 or f'(c) does not exist (but f(c) exists).
Critical point
A point (c, f(c)) where c is a critical number (often a possible location for changing behavior).
Horizontal tangent
Occurs where f′(c)=0; the tangent line has slope 0 (this alone does not guarantee a max or min).
Sign chart method
Procedure to find intervals of increase/decrease by computing f', finding critical numbers, splitting into intervals, testing the sign of f' in each interval, and concluding where f increases/decreases.
Test interval
An interval between consecutive critical numbers (and/or domain restrictions) where you test a representative x-value to determine the sign of f′(x) or f′′(x).
Domain restriction (in sign analysis)
A value where f is not defined; it can split the number line into separate intervals when determining increase/decrease or concavity.
Local maximum
At x=c, f(c) is larger than nearby values of f(x) (in some neighborhood around c).
Local minimum
At x=c, f(c) is smaller than nearby values of f(x) (in some neighborhood around c).
First Derivative Test
Classifies a critical number c by the sign change of f'(x): + to − gives a local max; − to + gives a local min; no sign change gives no local extremum.
Vertical tangent (as in f(x) = \root[3]{x} at x=0)
A point where the derivative does not exist (often due to unbounded slope), but the function value exists; it can be a critical number without being a turning point.
Second derivative (f''(x))
Measures the rate of change of the first derivative; describes how the slope f'(x) is changing.
Concave up
f is concave up on an interval if its slopes increase as x increases; equivalently, if f′′(x)>0 on that interval.
Concave down
f is concave down on an interval if its slopes decrease as x increases; equivalently, if f′′(x)<0 on that interval.
Inflection point
A point on the graph where concavity changes (concave up to concave down, or vice versa); requires verifying a sign change in f''.
Inflection point candidate
A value c where f′′(c)=0 or f′′(c) does not exist (you must still test for a sign change to confirm an inflection point).
Second Derivative Test
If f′(c)=0 and f′′(c) exists: f′′(c)>0 implies local min; f′′(c)<0 implies local max; f′′(c)=0 makes the test inconclusive.
Inconclusive (Second Derivative Test)
When f′′(c)=0 at a critical point (with f′(c)=0), the second-derivative test cannot classify the point; use another method such as the First Derivative Test.
Velocity (v(t))
If s(t) is position, then v(t)=s′(t) is velocity; v(t)>0 means position increasing, and v(t)<0 means position decreasing.
Acceleration (a(t))
If s(t) is position and v(t)=s′(t), then a(t)=s′′(t) is acceleration; a(t)>0 means velocity increasing, a(t)<0 means velocity decreasing.
Speeding up (motion interpretation)
A particle is speeding up when velocity and acceleration have the same sign (both positive or both negative).