Differentiation Flashcards

(77 cards)

1
Q

In one word,
what is
differential calculus
about
?

A

The
instant.

More specifically, the
rate of change at an instant.

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2
Q

What type of
line
will tell you the
average speed over time?

A

Secant line.

A
slope tells you the

ARC of a
vertical variable
with respect to a

horizontal variable.

ARC is

Δy
Δx

which is also the
slope of the secant line.

ex:

Δy
Δx

= y2 − y1
x2 − x1

= 4 − 0
1 − 0

= 4

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3
Q

What type of
line
will tell you
instantaneous speed?

A

Tangent line.

A
slope tells you the

ARC of a
vertical variable
with respect to a

horizontal variable.

The slope of the secant line will approach that of the tangent line as the distances for the secant line approach zero.

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4
Q

g(x) = √(x)

How can you

  • *express** the
  • *derivative** of √(x)?
A

A, C, and D.

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5
Q

What is a

  • *reasonable** estimate of
  • *g’(1)**?

A: −2
B: 1/4
C: 2
D: 0
E: −1/4

A

−2

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6
Q

Compare

f(−4) ___ f’(−1).

A: <

B: >

A

B: >

The slope of the tangent line would be less negative at f(−4).

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7
Q

The

  • *tangent line** to the graph of
  • *function f** at the point
  • *(2, 3)** passes through the point
  • *(7, 6)**.

What is
f’(2)?

A

3/5.

The derivative tells you the slope of the tangent.

Δy
Δx

= y2 − y1
x2 − x1

= 6 − 3
7 − 2

= 3/5

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8
Q

What is the

  • *formal definition** of the
  • *derivative** of a function?

f’(x) = _____?

A

limΔx→0 f(x0 + Δx) − f(x0)
Δx

This is basically the slope formula with a limit tacked on:

Δy
Δx

= y2 − y1
x2 − x1

= limΔx→0 f(x0 + Δx__) − f(x0)
(x0 + Δx) − x0

= limΔx→0 f(x0 + Δx) − f(x0)
Δx

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9
Q

What is the

  • *alternate definition** of the
  • *derivative** of a function?

f’(x) = _____?

A

limx→a f(x) − f(a)
x − a

This is basically the slope formula with a limit tacked on:

Δy
Δx

= y2 − y1
x2 − x1

= limx→a f(x) − f(a)
x − a

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10
Q

How do you write the
equation of a
tangent line using the
formal definition of a
limit of the function below?

f(x) = x2 at x = 0.2

A
  1. Find the derivative
    f(x) = x2
    limΔx→0 f(x + Δx) − f(x)
    (x + Δx) − x
    f’(x) = limΔx→0 (x + Δx)2 − x2
    (x + Δx) − x
    = limΔx→0 x2 + 2x•Δx + Δx2 − x2
    Δx
    = limΔx→0 2x•Δx + Δx2
    Δx
    = limΔx→0 2x + Δx
    f’(x) = 2x
  2. Find the slope of the tangent
    f’(x) = 2x
    = 2(0.2)
    f’(0.2) = 0.4
  3. Find the right point on the function
    f(x) = x2
    f(0.2) = (0.2)2
    f(0.2) = 0.04
  4. Write the equation of the tangent line
    y − y0 = m(x − x0)
    y − 0.04 = 0.4(x − 0.2)
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11
Q

Given:

  • f(−1) = 2
  • f(0) = 0
  • f(1) = 1
  • f(8) = 5

what is the
best estimate of f’(1/2) we can make
given these values?

A

−​2

Δy
Δx

= y2 − y1
x2 − x1

= 2 − 0
−1 − 0

= −2

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12
Q

Given:

  • f(−1) = 2
  • f(0) = 0
  • f(1) = 1
  • f(8) = 5

what is the
best estimate of f’(8) we can make
given these values?

A

4/7

Δy
Δx

= y2 − y1
x2 − x1

= 5 − 1
8 − 1

= 4
7

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13
Q

Graphically,
what are
all x-values for which this
function is
not differentiable?

Dashed lines represent asymptotes.

A

−5, −4, 0

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14
Q

Graphically,
what are
all x-values for which this
function is
not differentiable?

There’s a
vertical tangent at x = 1.

A

1, 5

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15
Q

Visually, what
features of a
graph will indicate that
the function is
not differentiable at an x-value?

A
  1. Vertical tangent
    * (the slope of the tangent line is undefined)*
  2. Discontinuity
    * (there’s no limit at that location)*
  3. “Sharp” turn
    * (the one-sided limits aren’t equivalent, so there’s no limit at that location)*
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16
Q

How do you know whether function

  • *g(x)** is
  • *continuous** at
  • *x = a**?
A

g(x) is continuous at x = a if

  • *g(a)** and
  • *both one-sided limits** are
  • *equal**.
  • (Which is to say that the limx→a g(x) exists and is equal to g(a).)*
  • ex:*

g(x) = { x2 + 2x , x < 1
{ 4x − 1 , x > 1

g(1) = (1)2 + 2(1)
= 3 = limx→1 g(x)

limx→1+ g(x) = 4(1) − 1
= 3

g(1) = limx→1 g(x) = limx→1+ g(x)

So g(x) is continuous at x = 1.

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17
Q

How do you know whether function

  • *g(x)** is
  • *differentiable** at
  • *x = a**?
A

g(x) is differentiable at x = a
if it is
continuous at x = a and
limx→a f(x) − f(a)
x − a
exists
.

(Which is to say that you can find the slope of a tangent line that intersects g(x) at x = a)

(Once you know it’s continuous, you’re looking for a
vertical tangent or a
“sharp” turn)

ex:

g(x) = { x2 + 2x , x < 1
{ 4x − 1 , x > 1

g(1) = (1)2 + 2(1)
= 3 = limx→1 g(x)

limx→1+ g(x) = 4(1) − 1
= 3

g(1) = limx→1 g(x) = limx→1+ g(x)

So g(x) is continuous at x = 1.

limx→a f(x) − f(a)
x − a

limx→1 x2 + 2x − (3)
x − 1

= limx→1 (x − 1)(x + 3)
x − 1

= limx→1 x + 3

= 4

limx→1+ 4x − 1 − (3)
x − 1

= limx→1+ 4x − 4
x − 1

= limx→1+ 4(x − 1__)
x − 1

= 4

Because the one-sided limits are approaching the same value, the limit exists, and g(x) is differentiable at x = 1.

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18
Q

Differentiability
implies _____.

A

Continuity

Proof:

  • Differentiability:
    limx→c f(x) − f(c) = f’(c)
    x − c
  • Continuity:
    limx→c (f(x) = f(c))

Assume f is differentiable at x = c

limx→c (f(x) − f(c))

= limx→c (x − c) • f(x) − f(c)
x − c

= limx→c (x − c ) • limx→c f(x) − f(c)
x − c

= 0 • limx→c f(x) − f(c)
x − c

= 0 • f’(c)

limx→c (f(x) − f(c)) = 0

limx→c f(x) − limx→c f(c) = 0

limx→c f(x) − f(c) = 0

limx→c f(x) = f(c)
(this is the definition of continuity)

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19
Q

Constant Rule:

A

0.

The derivative of
any constant is 0.

Algebraically:

f(x) = 1

f(x + Δx) = 1

g’(x) = limΔx→0 f(x + Δx) − f(x)
Δx

f’(x) = limΔx→0 1 − 1
Δx

= limΔx→0 0
Δx

= 0

Graphically:
The derivative measures a function’s
instantaneous rate of change at a particular x-value.

Where f(x) is a constant, there is
no change from one x-value to the next, so the derivative is 0.

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20
Q

Sum/Difference Rules:

f(x) = g(x) + j(x)

f’(x) = ______

A

g’(x) + j’(x)

f(x) = g(x) + j(x) ⇒ f’(x) = g’(x) + j’(x)

Algebraically:

f(x) = g(x) + j(x)

f’(x) = limΔx→0 g(x + Δx) + j(x + Δx) − (g(x) + j(x))
Δx

= limΔx→0 g(x + Δx) − g(x) + j(x + Δx) − j(x)
Δx

= limΔx→0 g(x + Δx) − g(x) + j(x + Δx) − j(x)
Δx Δx

= limΔx→0 g(x + Δx) − g(x) + limΔx→0 j(x + Δx) − j(x)
Δx Δx

= g’(x) + j’(x)

The difference rule is identical.

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21
Q

Constant Multiple Rule:

  • *d [k•f(x)]** = _____?
  • *dx**
A

k• d [f(x)]
dx

Also:
f(x) = k•g(x) ⇒ f’(x) = k•g’(x)

Algebraically:

h’(x) = limΔx→0 f(x + Δx) − f(x)
Δx

f(x) = k•g(x)

f’(x) = limΔx→0 k•g(x + Δx) − k•g(x)
Δx

= limΔx→0 k•g(x + Δx) − k•g(x)
Δx

= limΔx→0 k • g(x + Δx) − g(x)
Δx

= k•limΔx→0 g(x + Δx) − g(x)
Δx

= k•g’(x)

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22
Q

Constant Rule:

f(x) = 2x3 − √x + 1/x + 2

f’(x) = _____

A

6x2 − ½x−1/2 − x−2

*f(x) = x<sup>n</sup>
f'(x) = nx<sup>n−1​</sup>*

f(x) = 2x3 − √x + 1/x + 2

= 2x3 − x1/2 + x−1 + 2

f’(x) = d/dx(2x3) − d/dx(x1/2) + d/dx(x−1) + d/dx(2)

= (3)2x3−1 − (½)x1/2−1 + (−1)x−1−2 + 0

= 6x2 − ½x−1/2 − x−2

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23
Q

Power Rule:

f(x) = xn, n ≠ 0

f’(x) = _____

A

f’(x) = nxn−1

Proof:
(for positive integers)

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24
Q

f(x) = 2x3 − √x + 1/x + 2

f’(x) = _____

A

6x2 − ½x−1/2 − x−2

*f(x) = x<sup>n</sup>
f'(x) = nx<sup>n−1​</sup>*

f(x) = 2x3 − √x + 1/x + 2

= 2x3 − x1/2 + x−1 + 2

f’(x) = d/dx(2x3) − d/dx(x1/2) + d/dx(x−1) + d/dx(2)

= (3)2x3−1 − (½)x1/2−1 + (−1)x−1−2 + 0

= 6x2 − ½x−1/2 − x−2

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25
How would you write the * *equation** of a * *line** * *tangent** to **f(x) = x3 − 6x2 + x − 5** at **x = 1**?
1. **Find the point the tangent touches** *(this is just f(1))* f(x) = x3 − 6x2 + x − 5 f(1) = (1)3 − 6(1) + (1) − 5 = −9 _(1, −9)_ 2. **Find the slope of the tangent** at that point *(this is just the derivative)* f'(x) = 3x2 − 12x2 + 1 f'(1) = 3(1)2 − 12(1)2 + 1 _= −8_ 3. **Write the equation of the line** y − y0 = m(x − x0) y + 9 = −8(x − 1) *(for point/slope form)* y = −8x + 8 − 9 y = −8x − 1 *(for slope/intercept form)*
26
**f(x) = sin(x)** **f'(x)** = \_\_\_\_\_
**cos(x)** ## Footnote Green: slope of 1 Orange: slope of 0 Red: slope of −1
27
**f(x) = cos(x)** **f'(x)** = \_\_\_\_\_
**−sin(x)** ## Footnote Green: slope of 1 Orange: slope of 0 Red: slope of −1
28
**f(x) = ex** **f'(x)** = \_\_\_\_\_
**ex** * This is one of the "magical" things about e.* * In fact, e can be defined this way.*
29
**f(x) = ln(x)** **f'(x)** = \_\_\_\_\_
**_1_ x**
30
_Product Rule_: ## Footnote **p(x) = [f1(x) • f2(x)]** **p'(x) = \_\_\_\_\_**
**f1'(x)** **• f2(x) + f1(x) • f2'(x)** ## Footnote p(x) = [ln(x) • cos(x)] p'(x) = d/dx(ln(x)) • cos(x) + ln(x) • d/dx(cos(x)) = 1/x • cos(x) + ln(x) • (−sin(x)) = _cos(x)_ − ln(x) • sin(x) x
31
_Quotient Rule_: ## Footnote **q(x) = [_n(x)_] [d(x)]** **q'(x) = \_\_\_\_\_**
**_n'(x)_** **_• d(x) − n(x) • d'(x)_ ( d(x) )2** ## Footnote q(x) = [_sin(x)_] [x2] q'(x) = _d/dx(sin(x)) • x2 + sin(x) • d/dx(x2)_ (x2)2 = _x2 • cos(x) − sin(x) • 2x_ x4 = _x (x•cos(x) − 2•sin(x))_ x4​ = _x•cos(x) − 2•sin(x)_ x3
32
**f(x) = tan(x)** **f'(x)** = \_\_\_\_\_
**_1_ = sec2(x) cos2(x)** ## Footnote f(x) = tan(x) = _sin(x)_ cos(x) f'(x) = _d_ [_sin(x)_] dx [cos(x)] = _cos(x) • cos(x) + sin(x) • sin(x)_ cos2(x) = _cos2(x) + sin2(x)_ cos2(x) = _1_ cos2(x) = sec2(x)
33
**f(x) = cot(x)** **f'(x)** = \_\_\_\_\_
**− _1_ = −csc2(x) sin2(x)** ## Footnote f(x) = cot(x) = _cos(x)_ sin(x) f'(x) = _d_ [_cos(x)_] dx [sin(x)] = _−sin(x) • sin(x) − cos(x) • cos(x)_ sin2(x) = _−sin2(x) − cos2(x)_ sin2(x) = − _1_ sin2(x) = −csc2(x)
34
**f(x) = sec(x)** **f'(x)** = \_\_\_\_\_
**tan(x) • sec(x)** ## Footnote f(x) = sec(x) = _1_ cos(x) = _0 • cos(x) + sin(x) • 1_ cos2(x) = _sin(x)_ cos2(x) = _sin(x)_ • _1_ cos(x) cos(x) = tan(x) • sec(x)
35
**f(x) = csc(x)** **f'(x)** = \_\_\_\_\_
**−cot(x) • csc(x)** ## Footnote f(x) = csc(x) = _1_ sin(x) = _0 • sin(x) − cos(x) • 1_ sin2(x) = _−cos(x)_ sin2(x) = _−cos(x)_ • _1_ sin(x) sin(x) = −cot(x) • csc(x)
36
_Chain Rule_: ## Footnote **f(x) = o(i(x))** **f'(x) = \_\_\_\_\_**
**o'( i(x)) • i'(x)** *ex:* * h(x) = (5 − 6x)5 = o(i(x)) * i(x) = 5 − 6x i'(x) = −6 * o(x) = x5 o'(x) = 5x4 * h'(x) = o'(i(x)) • i'(x) * = 5 ( 5 − 6x)4 • −6 * −30( 5 − 6x)4
37
Is **f(x) = cos2(x)** a _composite function_?
**Yes**, so the **chain rule applies**. *A function is composite if you can write it as _f(g(x))_.* *In other words, it is a _function within a function_, or a _function of a function_.* cos2(x) = (cos(x))2 = o(i(x)) i(x) = cos(x) o(x) = x2
38
**f(x) = bx**, where b is _any positive number_ ## Footnote **_d_ [bx] = \_\_\_\_\_ dx**
**bx • ln (b)** ## Footnote d/dx [ex] = ex​ b = eln (b) *(remember: logb a = c ⇔ ba = c) (ln (b) is the number that you have to raise e to in order to get b, so if you raise e to that number, you get b)* d/dx [bx] = d/dx [(eln (b))x] *(substitution)* = eln (b) • x • ln(b) (*chain rule)* = (ln (b)) • (eln (b))x = bx • ln (b)
39
**f(x) = logb a**, where b is _any positive number_ ## Footnote **d/dx [logb a] = \_\_\_\_\_**
**_1_ (ln b) • a** ## Footnote d/dx [ln x] = 1/x​
40
* *_d_ [y]** = \_\_\_\_\_? * *dx**
**_dy_ dx** *These are simply equivalent statements.*
41
* *_d_ [y2]** = \_\_\_\_\_? * *dx**
**2y • _dy_ dx** *Just the chain rule:* c(x) = o(i(x)) c'(x) = o'(i(x) • i'(x) * First, we assume that y does change with respect to x — it's not a constant. * Then you can set up y as a function of x: y(x) = _d_ [y2] dx = _d(y2)_ • _dy_ dy dx ↑ This part is **just the chain rule**: *The **derivative of \*something\* squared** **with respect to that \*something\*** times the **derivative of that \*something\* with respect to x**.* = 2y • _dy_ dx
42
* *_d_ [xy]** = \_\_\_\_\_? * *dx**
**y + x • _dy_ dx** *Apply the product rule: p(x) = f1(x) • f2(x) p'(x) = f1'(x) • f2(x) + f1(x) • f2'(x)* * *_d_ [xy]** * *dx** = _dx_ • y + x • _dy_ dx dx = y + x • _dy_ dx
43
Given **x2 + y2 = 1**, how do you obtain * *_dy_**? * *dx**
**Implicit differentiation**: *Treat the _variable you're looking for_ as a _function of the other_ and _solve_.* ## Footnote x2 + y2 = 1 _d_ (x2 + y2) = _d_ (1) dx dx _d_ (x2) + _d_ (y2) = 0 dx dx 2x + 2y • _dy_ = 0 dx 2y • _dy_ = −2x dx _dy_ = − _x_ dx y
44
**_d_ sin−1 (x) = \_\_\_\_\_ dx**
**_1_ √(1 − x2)** ## Footnote *Equivalent statements:* y = sin−1 (x) ⇔ sin(y) = x x = sin(y) *Derivative of Both Sides w/ respect to x:* dx/dx = d/dx [sin(y)] 1 = d/dy [sin(y)] • dy/dx 1 = cos(y) • dy/dx ``` _dy_ = _1_ dx cos(y) ``` *Pythagorean trig identity:* _dy_ = _1_ dx √(1 − sin2(y)) *Substitution:* _dy_ = _1_ dx √(1 − x2)
45
**_d_ cos−1 (x) = \_\_\_\_\_ dx**
**− _1_ √(1 − x2)** ## Footnote *Equivalent statements:* y = cos−1 (x) ⇔ cos(y) = x x = cos(y) *Derivative of Both Sides w/ respect to x:* dx/dx = d/dx [cos(y)] 1 = d/dy [cos(y)] • dy/dx 1 = −sin(y) • dy/dx _dy_ = _1_ dx − sin(y) *Pythagorean trig identity:* _dy_ = − _1_ dx √(1 − cos2(y)) *Substitution:* _dy_ = − _1_ dx √(1 − x2)
46
**_d_ tan−1 (x) = \_\_\_\_\_ dx**
**_1_ 1 + x2** ## Footnote *Equivalent statements:* y = tan−1 (x) ⇔ tan(y) = x x = tan(y) *Derivative of Both Sides w/ respect to x:* dx/dx = d/dx [tan(y)] 1 = d/dy [tan(y)] • dy/dx 1 = _1_ • dy/dx cos2(y) _dy_ = cos2(y) dx *Pythagorean trig identity:* = _cos2(y)_ cos2(y) + sin2(y) *Multiply numerator and denominator by same amount:* = _cos2(y)_ • _1 /_ _cos2(y)_ cos2(y) + sin2(y) 1 / cos2(y) = _1_ 1 + ( sin(y) / cos(y) )2 *Def of tangent:* = _1_ 1 + tan2(y) *Substitution:* = _1_ 1 + tan2(y)
47
Functions _*f* and *g*_ are _inverses_. In **terms of its inverse**, **f'(x)** = \_\_\_\_\_.
**_1_ g'(f(x))** *The _derivative_ of a function is* *equal to the _reciprocal_ of the _derivative_ of its _inverse_.* * Definitions f(x) = g−1(x) ⇔ g(x) = f−1(x) f(g(x)) = x = g(f(x)) * Now, the work . . . * g(f(x)) = x * _d_ [g(f(x))] = _dx_ dx dx * g'(f(x)) • f'(x) = 1 * f'(x) = _1_ g'(f(x))
48
Given the _table_ below, and that _functions *g* and *h*_ are _inverses_, how could you **determine** **g'(0)**?
g'(0) = **_1_ h'(g(0))** ## Footnote g'(x) = _1_ h'(g(x)) = _1_ h'(g(0)) = _1_ h'(−2) = _1_ −1 = −1
49
What's the best way to **evaluate** * *_d_ [(x + 5)(x − 3)]**? * *dx**
**Expand**, then the **product rule**. ## Footnote *Expressions can be rewritten to make differentiation easier!*
50
What's the * *key** to * *evaluating** * *_d_ [(x2 sin(x))3]**? * *dx**
**Label, label, label**. *When applying multiple rules, label them all.* * _Rewriting_: (x2 sin(x))3 = x6 sin3(x) = f(x) • g(h(x)) * _Labeling_: f(x) = x6 g(x) = x3 h(x) = sin(x) * _Differentiating_: f'(x) = 6x5 g'(x) = 3x2 h'(x) = cos(x) * _d_ [x6 sin3(x)] dx * _Product Rule_: = _d_ [f(x)] • g(h(x)) + f(x) • _d_ [g(h(x))] dx dx * _Chain Rule_: = f'(x) • g(h(x)) + f(x) • g'(h(x)) • h'(x) * _Substitution_: = 6x5 • sin3(x) + x6 • 3 sin2(x) • cos(x) * = 6x5 sin3(x) + 3x6 sin2(x) cos(x)
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What's the * *key** to * *evaluating** * *_d_ [sin (ln (x2))]**? * *dx**
**Label, label, label**. *When applying multiple rules, label them all.* * sin(ln(x2)) = f (g (h(x))) * f(x) = sin(x) g(x) = ln(x) h(x) = x2 * f'(x) = cos(x) g'(x) = 1/x h'(x) = 2x * _d_ [sin(ln(x2))] dx * = f' (g (h(x))) • g' (h(x)) • h'(x) * = cos (ln (x2)) • 1/(x2) • 2x * = _2 cos (ln (x2))_ x
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f(x) = x3 + 2x2 f'(x) = 3x2 + 4x **f''(x) = \_\_\_\_\_**
**6x + 4** *This is the _second derivative_, or the derivative of the first derivative* *Could also be written as:* _d2y_ [x3 + 2x2] dx2
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How would you **evaluate** ## Footnote **limh→0 _5 log (2 + h) − 5 log (2)_ h**
**Use the derivative** ## Footnote limh→0 _5 log (2 + h) − 5 log (2)_ h = 5 limh→0 _log (2 + h) − log (2)_ h * The above, by definition, is f'(2)* * So...* * f(x) = log(x)* *f'(x) = _1_* ln(10) x f'(2) *= _1_* ln(10) 2 *Substitution:* 5 • f'(2) = 5 limh→0 _log (2 + h) − log (2)_ h = _5_ 2 • ln(10)
54
What is a **related rates problem**?
Applied problems where you find the **rate** at which **one quantity is changing** by relating it to **other quantities** whose **rates are known**. ## Footnote *e.g.:* The radius *r(t)* of a circle is increasing at a rate of 3 centimeters per second. At a certain instant *t*0, the radius is 8 centimeters. What is the rate of change of the area *A(t)* of the circle at that instant?
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What are the * *keys** to a * *related rates problem**?
1. **Draw** a diagram 2. **Label**, label, label Label what you know and what you're trying to figure out 3. **Divide and conquer** Use information you know to figure out information you need — in several steps if necessary.
56
Given **√(2) = 4**, how might you **approximate** **√(4.36)**?
**Local linearity** ## Footnote *You can use the line tangent to at a known point to approximate the value of a value that's close, but unknown.*
57
In _words_, What can **L'Hôpital's rule** do?
Use * *derivatives** to find * *limits** with * *undetermined forms** ## Footnote *This is in contrast to what we normally do, which is to use limits to find derivatives (in fact, the definition of derivatives is based on limits).*
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_Mathematically_, what is **L'Hôpital's rule**?
_Zero Case_: * If: **limx→c f(x)** = **0** & **limx→c g(x) = 0** & **limx→c _f'(x)_ = L g'(x)** * Then: **limx→c _f(x)_ = L g(x)** **​**_Infinity Case_: * If: **limx→c f(x)** = **±∞** & **limx→c g(x)** = **±∞** & **limx→c _f'(x)_ = L g'(x)** * Then: **limx→c _f(x)_ = L g(x)**
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How would you **evalulate** * *limx→0 _sin(x)_**? * *2x**
**L'Hôpital's rule** ## Footnote Direct substitution yields: limx→0 _sin(x)_ = _0_ 2x 0 0/0 is undetermined form. The first two conditions of the rule are met, so we should try to take the derivatives to see if the third condition is also met. = limx→0 _cos(x)_ = _1_ 2 2 Therefore . . . limx→0 _sin(x)_ = _1_ 2x 2
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How would you **evalulate** * *limx→∞ _4x2 − 5x_**? * *1 − 3x2**
**L'Hôpital's rule** | (is one way, although factoring and canceling would also work) ## Footnote Direct substitution yields: limx→∞ _4x2 − 5x_ = _∞_ 1 − 3x2 −∞ This is undetermined form. The first two conditions of the rule are met, so we should try to take the derivatives to see if the third condition is also met. = limx→∞ _8x − 5_ = _∞_ −6x −∞ This is still undetermined, so we should try L'Hôpital's rule again: limx→∞ _8_ = _−4_ −6 3
61
_Mathematically_, describe the **mean value theorem**?
Given that function *f* is: * **differentiable** over the * *open interval (*a*, *b*)** and * **continuous** over the * *closed interval [*a*, *b*]**, There is at least * *one number *c*** on the * *interval** from *a* to *b* such that **f'(c) = _f(b) − f(a)_ b − a**
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_Graphically_, describe the **mean value theorem**?
An _arc_ between _two endpoints_ has a **point** at which the **tangent** to the arc is **parallel** to the **secant** through its endpoints
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Does the * *mean value theorem** * *apply** to this function?
**No**. For the MVT to apply, the **function must be differentiable** over (a, b). *The function has only two possible tangent lines, neither of which is parallel to the secant between x = a and x = b.*
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Does the * *mean value theorem** * *apply** to this function?
**No**. For the MVT to apply, the **function must be continuous** over [a, b]. *All possible tangent lines are necessarily decreasing, while the secant line is increasing.*
65
Does the **mean value theorem** apply to this function over the interval **[−6, −2]**? ## Footnote *There is a vertical tangent at x = −5*
**No**, because of the _vertical tangent_. The function _must be differentiable_ over (−6, −2) for the MVT to apply.
66
Does the **mean value theorem** apply to this function over the interval **[−4, −1]**? ## Footnote *There is a vertical tangent at x = −5*
**Yes**. ``` The function is continuous over [−4, −1] and differentiable over (−4, −1). ```
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Does the **mean value theorem** apply to this function over the interval **[−1, 2]**? ## Footnote *There is a vertical tangent at x = −5*
**No**. The function _must be continuous_ over (−1, 2) for the MVT to apply.
68
Does the **mean value theorem** apply to this function over the interval **[0, 4]**? ## Footnote *There is a vertical tangent at x = −5*
**Yes**. ``` The function is continuous over [0, 4] and differentiable over (0, 4). ```
69
Does the **mean value theorem** apply to this function over the interval **[0, 5]**? ## Footnote *There is a vertical tangent at x = −5*
**No**, because of the _"sharp" turn_. The function _must be differentiable_ over (0, 5) for the MVT to apply.
70
_Mathematically_, describe the **extreme value theorem**?
Given that function *f* is: * *continuous** over the * *closed interval [*a*, *b*]**, There are **values *c* and *d*** in the interval [*a*, *b*] such that **f(c) _\<_ f(x) _\<_ f(d)**.
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_Graphically_, describe the **extreme value theorem**?
Where function *f* is **continuous over [a, b]**, there is an **absolute maximum value of f** over the interval and an **absolute minimum value of f** over the interval.
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Visualize why an **interval must be continuous** for the **extreme value theorem to apply**.
73
Visualize why an **interval must be closed** for the **extreme value theorem to apply**.
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What is a **critical point**?
An x-value: * **within the domain of function *f*** (graphed below) * where * **f'(x) = 0** or * **f'(x) is undefined** *Green is local max — f'(x) is _undefined_ Red is local min — f'(x) is _undefined_ Orange is global max — f'(x) is _zero_*
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How do you find an **increasing or decreasing interval** of a function?
**Differentiate** and evaluate **around critical points**. *f'(x) will be _positive where f(x) is increasing_ and _negative where f(x) is decreasing_.*
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How do you find **global/absolute extrema**? ## Footnote *(aka the first derivative test)*
**Same as local/relative extrema,** ***except*** you must **check the edges** in both directionsbecause endpoint can be global/absolute extrema. * **Differentiate** * **Find** * **critical points** and * **where f(x) is undefined** * **Analyze intervals using first derivative** * **Find extremum points**, which will be where * **f(x) is defined** and * **f'(x) changes signs** * **Check edges**
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How do you find **local/relative extrema**? ## Footnote *(aka the first derivative test)*
* **Differentiate** * **Find** * **critical points** and * **where f(x) is undefined** * **Analyze intervals using first derivative** * **Find extremum points**, which will be where * **f(x) is defined** and * **f'(x) changes signs**