Ch2 Limits and Derivatives Flashcards
(23 cards)
Sum Law (Limits)
Constant Multiple Law (Limits)
The limit is concerned with what value the function is approaching as
π₯ βπ. Multiplying the whole function by a fixed number just stretches or compresses that value β it doesnβt interfere with the approach itself.
Power Law (Limits)
Root Law (Limits)
Product Law (Limits)
Quotient Law (Limits)
Squeeze Theorem
If a function is trapped between two others, and those two are heading to the same limit, then the trapped function must go there too.
Vertical Asymptotes
Occur when a function is undefined AND, at that point, the functions value balloons to infinity
Horizontal Asymptotes
Occur when, as x approaches infinity, y approaches a certain value
Intermediate Value Theorem
If a function is continuous (no jumps, holes, or breaks), and it goes from one value to another over an interval, then it must pass through every y-value in between.
Derivative Formal Definition
A derivative fβ(a) is the slope of the tangent line to the graph f(x) at x=a AND the instantaneous rate of change of f at x=a
First Derivative
The first derivative gives you the rate of change of your functions position (your speed/velocity).
Second Derivative
The second derivative gives you the rate of change of your speed (how fast your speed is changing). This is called your acceleration
Differentiability
A function is differentiable at a point if the slope is the same on either side of that point; the slope is smooth - you can find it. No sudden turns.
Differentiability vs. Continuity
If a function is differentiable at a, it is continuous at a. A function can be continuous at a, but not differentiable at a (it could have a sharp corner or cusp)
Continuity
You can draw the whole function without lifting your hand. No jumps or holes.
Finding the Avg. Velocity in a Time Period
Instantaneous Velocity
Derivative of position
When f(x) is increasing, fβ(x):
fβ(x) > 0
When f(x) is decreasing, fβ(x):
fβ(x) < 0
When f(x) has a peak or valley (max or min), fβ(x):
fβ(x) = 0
When f(x) is increasing or decreasing STEEPLY, fβ(x):
has a large y value (is far above or below the x axis)
When f(x) has sharp corners or cusps, fβ(x):
is undefined