Differentiation Flashcards

(39 cards)

1
Q

geometrical representation of f’(a)

A

f’(a) of f(x) at x = a is equal to the slope of the tangent to the graph of f at a

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2
Q

definition of f’(a)

A

the limit of the slope of a line segment joining 2 nearby points on the graph of f
= lim h-> 0 ( f(a+h) - f(a) ) /h
if the limit exists we say f is differentiable at x = a

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3
Q

differentiable

A

if f’(a) exists for all a in the domain of f we say f is differentiable and the function f’(x) is the derivative

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4
Q

equation of tangent to f at (a,f(a)

A

y = f(a) + f’(a) (x-a)

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5
Q

necessary condition for f’(a) to exists

A

is for f to be continuous at a but this is not sufficient (can be continuous and not differentiable)

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6
Q

ways function can fail to be differentiable at a point where its continuous

A
  • tangent line is vertical
  • no tangent line at the point
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7
Q

twice differentiable

A

f(x) is differentiable then f’(x) may be differentiable if it is we say its twice differentiable
(smooth means infinitely differentiable)
(f’(x))’ = f’‘(x)

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8
Q

how to write nth derivative

A

f^(n)(x)
d^nf/dx^n
D^n f(x)
if its a variable of time we dot it to show differentiation

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9
Q

leibniz rule

A

if f(x) and g(x) are differentiable n times so is there product fg(x)
D(fg) = (Df)g + f(Dg)
D^n(fg) = ∑ (nCk) (D^k f)(D^n-k g) from k=0 to n

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10
Q

chain rule

A

for differentiating the composition of functions
fºg(x)
if g(x) is differentiable at x and f(x) is differentiable at g(x)
fºg’(x) = f’(g(x))g’(x)
or d/dx(f(g(x)) = df/dg dg/dx

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11
Q

L’Hopitals rule

A

applies to limits in the form 0/0 or ♾️/♾️
if f(x) and g(x) are differentiable on I = (a-h,a) U (a,a+h) for some small h-> 0 with lim f(x) to a = lim g(x) to a = 0
and lim f’(x)/lim g’(x) exists
then lim f(x)/g(x) = lim f’(x)/g’(x)

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12
Q

indeterminate form of the limit

A

lim x->a f(x) /g(x) doesnt exists if L=/= 0 and M = 0
if L= M = 0 then its indeterminate form
might or might not have a well defined value - we cant tell by knowing L and M
eg 0/0, ♾️/♾️, 0*♾️, ♾️-♾️, 0^0 , 1^♾️, ♾️^0

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13
Q

proof of L’Hopitals rule

A

where f’(a) and g’(a) exist and the derivatives are continuous and g’(a) =/= 0
lim f(x)/g(x) = lim f(x) - 0/ g(x) -0 = lim f(x) - f(a) / g(x) -g(a) = lim (f(x)-f(a))/(x-a) / (g(x)-g(a))/(x-a) = f’(a)/g’(a) = lim f’(x)/g’(x)

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14
Q

bounded above

A

f(x) is a function on an interval I
is bounded above by an upper bound k1 if f(x) <= k1 for all x in I
f(x) need not take the value k1 in I

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15
Q

global maximal value

A

if there exists an x in I such that f(x) = k1 the upper bound is attained and k1 is the global max

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16
Q

bounded

A

f(x) is bounded in I if its bounded above and below in I
there exists a k in R such that |f(x)| <= k for all x in I

17
Q

extreme value theorem

A

if f(x) is continuous on a closed interval [a,b] then its bounded on that interval and has upper/ lower bounds which are attained
(has global max/min)
there exists x1,x2 in [a,b] such that f(x2) <= f(x) <= f(x1) for all x in [a,b]

18
Q

monotonic increasing

A

if in [a,b] f(x1) <= f(x2) for all x1,x2 such that a<= x1 < x2 <= b
similar for decreasing

19
Q

strictly monotonic increasing

A

if in [a,b] f(x1) < f(x2) for all x1,x2 such that a <= x1 < x2 <= b
similar for decreasing

20
Q

local maximum (or minimum)

A

f(x) has a local max (or min) at x = a if there exists h>0 such that f(a) >= f(x) (or f(a)<= f(x))
on (a-h,a+h)

21
Q

local extremum

A

either a local max or a local min

22
Q

max/ min and derivative

A

if f(x) has a maximum (or minimum) at x = a and is differentiable at x = a
f’(a) = 0

23
Q

stationary point

A

f(x) has one at x = a if its differentiable at x = a and f’(a) = 0

24
Q

critical point

A

an interior point x = a of the domain of f(x) is a critical point if either f’(a) = 0 or f’(a) does not exist

25
point of inflection
if f(x) is twice differentiable in an open interval around x = a with f''(a) = 0 and f''(x) changes sign at x = a then x = a is a point of inflection
26
1st derivative test
f(x) is continuous at a critical point x = a - if there exists h>0 such that f'(x) <0 for all x in (a-h,a) and f'(x) >0 for all x in (a, a+h) then x = a is a local min - opposite for local max - if f'(x) is constant in sign then not a local extremum at x = a
27
2nd derivative test
suppose f(x) is twice differetiable at x = a with f'(a) = 0 - if f''(a) >0 then x = a is a local min - if f''(a) <0 then x = a is a local max - if f''(a) = 0 then the test tells us nothing
28
end points
if c is in the domain of f and there exists a small h >0 such that f(x) is defined on [c,c+h) but not (c-h,c] (or vice versa) then x = c is an endpoint of f(x)
29
endpoint max (or min)
if x = a is an endpoint of f(x) then endpoint max (or min) at x = a if f(x)<= f(a) (or f(x)>= f(a)) for x close to a
30
sign of deritvative + nature of endpoint
sign of derivative can determine the nature of the endpoint if f(x) is continuous and differentiable
31
global extrema and critical points or end points
if f(x) is continuous on [a,b] then all global extrema in this interval are attained at either critical points or endpoints
32
rolles theorem
if f(x) is continuous and differentiable on [a,b] and f(a) = f(b) then there exists c in (a,b) such that f'(c) = 0
33
corollary of rolles theorem
if f(x) is differentiable on an open interval I then each pair of zeros is seprated by at least one zero fo the derivative (rolles theorem if f(a) = f(b) = 0) can be used to find bound on no. zeros of a function
34
mean value theorem
if f(x) is continuous on [a,b] and differentiable on (a,b) then there exists c in (a,b) such that f'(c) = f(b)-f(a)/b-a geometrically - at least one point where tangent is parallel to line joining end points can be used to prove results relative monoticity to sign of derivative
35
relative monoticity to sign of derivative
use MVT f(x) is continuous on [a,b] and differentiable on (a,b) with f'(x) >= 0 for all x in (a,b) then f(x) if monotonic increasing
36
inverse function rule
f(x) is continuous and differentiable on (a,b) with f'(x) >0 for all x in (a,b) its inverse g(y) exists and is differentiable on (f(a), f(b)) g'(y) = 1/f'(g(y)) similarly if f'(x) <0 then g(y) is differentiable for all f(b)
37
partial derivatives idea
can consider functions of 2 or more variables wither f(x,y) is the height of a function over the x-y plane we now think of the rate of change of f(x,y) as we vary x or y keeping the other fixed
38
partial derivative f(x,y) with respect to x
∂f/∂x(x,y) = lim (h->0) (f(x+h,y) - f(x,y)) / h same for ∂f/∂y but add h to the y differentiate with respect to one variable and treat the other as constant fx = ∂f/∂x fy = ∂f/∂y fxy = (fx)y = ∂/∂y (∂f/∂x)
39
clairauts theorem
∂^2f/∂x∂y = ∂^f/∂y∂x and this is true if f and all its 1st and 2nd partial derivatives are continuous