option calculus revision...1 math hl - option calculus revision (one example for each case) by...
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1
MATH HL - OPTION CALCULUS REVISION
(one example for each case) by Christos Nikolaidis
Example Remarks
1. L’ Hôpital
Solution
It works only for fractions
00 or
∞
∞
2. Continuity - Differentiability
Solution
• f is continuous at x=2, so 2x
lim→
(x2+4)=2x
lim→
ax = f(2)
Thus, 8=2a=8 ⇒ a=4 • f is continuous at x=3, so
3xlim
→ax=
3xlim
→(b-cx2) =f(3)
Thus 12=b-9c=12 ⇒ b-9c=12 (*)
• f must be differentiable at x=2. Indeed, for x=2 =′− (2)f (x2+4)΄ =2x=4, =′+ (2)f (ax)΄=a=4
• f must be differentiable at x=3. That is, for x=3 =′− (3)f (ax)΄=a=4, =′+ (3)f (b-cx2)΄=-2cx=-6c so that 4=-6c (**)
(*) and (**) give c=-2/3 and b=6
Therefore a=4, b=6, c=-2/3
Continuity at x=a means
−→axlim f =
+→axlim f = f(a)
Differentiability at x=a means (a)f(a)f +− ′=′
i.e. the derivatives before and after point a are equal for x=a
Find 3
2
x0.5xx1xe
0xlim
−−−
→
00
Let
>−
≤<
≤+
=
3x,cxb3x2ax,
2x4,xf(x)
2
2
Find the values of a, b, c given that the function is continuous and differentiable.
2
3. Rolle Theorem – Mean Value Theorem (MVT)
Solution
(a) sinxf(x) = is continuous and differentiable in [0,π] and )f(π0f(0) ==
Thus there is some value c∈]0,π[ s.t. 0(c)f =′ Indeed, xc(x)f os=′ and cosc=0 for c=π/2
(b) f(x) is still continuous/differentiable in [0.1,π-0.1] )0.1-f(πf(0.1) =
Again c=π/2
(c) f(x) is continuous and differentiable in [0,π/2] Thus there is some value c∈]0,π/2[ such that
0π/2f(0)-)/2f(π(c)f
−=′ , i.e. cosc=
π2
Indeed the GDC gives c=0.881
The minimum requirement is: - Continuous in [a,b] - Differentiable in ]a,b[ - f(a)=f(b)
Then 0(c)f =′ for some c∈]a,b[ The minimum requirement is: - Continuous in [a,b] - Differentiable in ]a,b[
Then abf(a)-f(b)(c)f
−=′
for some c∈[a,b]
Solution
-1f(1) = <0 and f(2)=11>0 Thus there is at least one root between 1 and 2 Suppose that there are two roots a and b
Then - f(x) is continuous and differentiable in [a,b] - )f(b0f(a) ==
Thus, by Rolle, there is a value c∈[a,b] such that 0(c)f =′
But, 53x(x)f 2 +=′ which has no roots which contradicts the existence of c
Therefore there is only one root.
A polynomial is continuous and differentiable everywhere In general, if f(x) has n distinct roots, then (x)f ′ must have at least n-1 roots (apply Rolle between any two consecutive roots)
Let sinxf(x) = (a) Explain why Rolle’s Thm holds in the interval
[0,π] and find the corresponding value of c (b) Does it hold in the interval [0.1 , π-0.1]? (c) Apply the Mean Value Theorem in [0 , π/2]
and find the corresponding value of c
Let 75xxf(x) 3 −+= Use Rolle’s Thm to show that f(x) has only one root
3
Solution
Consider f(x)=ex
It is continuous and differentiable everywhere. We apply the theorem in the interval [0, x] where x>0
0xe-e(c)f
0x
−=′ for come c∈[0,x]
That is 1ex
1-e cx
>= ⇒ ex-1 > x ⇒ ex > x +1
We also apply in the interval [x, 0] where x<0
0xe-e(c)f
0x
−=′ for come c∈[x, 0]
That is 1ex1-e c
x<= ⇒ ex-1 > x ⇒ ex > x +1
Finally, for x=0, ex = x +1
Therefore, in any case ex ≥ x +1
since x is positive
since x is negative
4. Fundamental Theorem of Calculus
Solution
(a) ∫′
++
−+1
02
2dx
1xx2x3x =
1
01xx2x3x
2
2
++
−+=
32)(
32 8
=−−
(b) ∫x
2
3dt(lnt)dxd = 3(lnx)
(c) ∫2x
2
3dt(lnt)dxd = 32 )2x(lnx
(d) ∫2x
xdt(lnt)
dxd 3 =
dxd
− ∫∫ x
0
3
0
3 dt(lnt)dt(lnt)2x
= 32 )2x(lnx - 3(lnx)
• [ ] f(a)f(b)f(x)(x)dxf ba
a
b
−==′∫
• ∫x
af(t)dt
dxd = f(x)
• ∫g(x)
af(t)dt
dxd = f(g(x)) (x)g′
use =∫g(x)
h(x)f(t)dt ∫∫ −
h(x)g(x)
aaf(t)dtf(t)dt
Use the MVT for f(x)=ex to show that 1xex +≥
Find
(a) ∫′
++
−+1
02
2dx
1xx2x3x (b) ∫
x
2
3dt(lnt)dxd
(c) ∫2x
2
3dt(lnt)dxd (d) ∫
2x
xdt(lnt)
dxd 3
4
5. Riemann Sum
Solution
(a) Subintervals [0,4π ] [
4π ,
2π ] [
2π ,
43π ] [
43π ,π]
(i) R.S. = f(0)4π + f(
4π )
4π + f(
43π )
4π +f(π)
4π = 1.11
(ii) R.S. = f(4π )
4π + f(
2π )
4π + f(
2π )
4π +f(
43π )
4π = 2.68
(b) Subintervals [0,2π ] [
2π ,π]
R.S. = f(4π )
2π + f(
43π )
2π = 2.22
(c) 2sinxdxπ
0=∫
So the approximation in (b) is much better despite the larger subintervals
Riemann sum = ∑i
ii ∆x)f(x
6. Improper Integrals
Solution
(a) dxx1lim
1b ∫∞→
b
[ ]b1blnxlim
∞→= [ ]0lnblim
b−=
∞→+∞=
(b) dxx1lim
12b ∫∞→
b b
1b x1lim
−=∞→
+−=∞→
1b1lim
b1=
(c) Find the indefinite integral first
dxexx∫ c+=+== ∫∫ xx
x-x-x-
e1-
ex-dxe-xedxxe
Thus,
dxex
0x∫
+∞ b
0xb e1x-lim
+=
∞→
+
+=
∞→1
e1b-lim bb
1=
It diverges
It converges to 1
(in the last limit use l’Hôpital)
It converges to 1
Consider ∫π
0sinxdx . Find the Riemman sum
(a) if you consider 4 subintervals of equal length and as representative values xi (i) the minima (ii) the maxima
(b) if you consider 2 subintervals of equal length and the midpoints as representative values
(c) Compare with the actual value of the integral
Find (a) dxx1
1∫+∞
, (b) dxx1
12∫
+∞
, (c) dxex
0x∫
+∞
5
7. Differential Equations (D.E.)
Solution
xxdy2y
d=+1
∫∫ =+
⇒ xx2y
dyd
1
c2xarctany2
+=⇒
For x=0, y=1 c4π
=⇒
Hence ,
4π
2xarctany2
+=
Notice: If they ask to express y in terms of x:
General solution: c)2xtany2
+= ( ,
Particcular solution: )4π
2xtany2
+= (
Separable
as we can separate x’s from y’s and get
∫∫ = g(x)dxf(y)dy
This is the general solution Using the initial condition
This is the particular solution
Solution
Homogeneous
as it can take the form
)xy
F(dxdy
=
[this line is always the same!] Now it is a D.E. of separable variables [this is always the case!] General solution Using the initial condition Particular solution
Solve 2
22
xy13xy36x
dxdy ++
= , if y=1 when x=1.
Solve 1)x(ydxdy 2 += , if y=1 when x=0.
6
Solution
With Integrating Factor as it can take the form
Q(x)P(x)ydxdy
=+ [see booklet]
Spot P(x), Q(x)
[see booklet for I= ∫P(x)dxe ] Don’t put (+c) here You have to remember that
Iy= ∫ IQdx
Solution
ytanxcosxedxdy 3x −=
0.2xx n1n +=+
0.2y n1n +=+ y )tanxycosx(e nnn3xn −
Euler
as it says so! ☺
Always in the form y)F(x,dxdy
=
[see booklet for formulas]
The GDC does it all!
Recursion 0.2aa n1n +=+
0.2bb n1n +=+ nnn
3a tanabcosa(e n − )
Set 0a0 = , 1b0 =
Notice: the smaller step h, the better approximation!
Solve cosxtanxyedxdy
e 3x3x =+ −− , if y=1 when x=0.
Let cosxtanxyedxdy
e 3x3x =+ −− , if 1y = when 0x =
Use Euler with step h=0.2 to estimate y for 1x =
7
8. Isoclines – Slope Fields
Solution (a) The isoclines are the curves cyx =+ .
That is cxy +−=
-3 -2 -1 1 2 3
-3
-2
-1
1
2
3
x
y
(b) We sketch the slope on each point
(c) We draw a curve passing through (0,0)
The grid is usually given!
If y)f(x,dxdy
=
the isoclines are cy)f(x, =
← that is all lines of slope -1
Slope 0 means Slope 1 means Slope -1 means
For example, at (0,1) the slope is
1yxdxdy
=+= , that is
Notice that on each isocline the slopes are equal. E.g. on y=-x+1 all slopes are 1. Just look at the point (0,0) and “follow the stream”. Indeed, if you solve the d.e. (using integrating factor) you will find the particular solution y=ex-x-1 and the graph looks like that!
-3 -2 -1 1 2 3
-3
-2
-1
1
2
3
x
y
-3 -2 -1 1 2 3
-3
-2
-1
1
2
3
x
y
Consider yxdxdy
+= . In the following grid
(a) Sketch the isoclines (b) Draw the Slope Field (c) Sketch the partic. solution passing through (0,0)
8
9. Series
Solution
It diverges since 032
43n12nlim
n≠=
++
∞→
Divergence Test
[rarely used] if the limit is not 0, we stop there! The series diverges! If it is 0, we use another test.
Solution
We check the corresponding integral dxx(lnx)
1I2
2∫+∞
=
=∫ dxx(lnx)
12 =∫ dx
x(lnx)-2
c+−lnx1
Thus ∞→
=blimI
b
lnx1
2
−∞→
=blim
+−ln21
lnb1
ln21
=
The integral converges so the series converges.
Integral Test
2x(lnx)1
f(x) = must be positive,
continuous and decreasing Usually
• for p-series ∑∞
=1npn
1 → ∫∞
1px
dx
• if you see lnn • if you recognize a known
integral, e.g.∑∞
=1nnen → ∫
∞−
1
xdxxe
Solution
Since 22 n
143n
sinn≤
+ and ∑
∞
=1n2n
1 converges
our series converges as well.
Comparison Test
[rarely used! they usually mention it in the question] larger converges ⇒ smaller too smaller diverges ⇒ larger too
Solution
na looks like 2n n
1b = and ∑∞
=1n2n
1 converges
n
nn b
alim∞→ 1
n43n52nlim
2
3n +
+=
∞→0const
32
43n5n2nlim 3
23
n>==
+
+=
∞→
Our series converges as well.
Limit Comparison Test
[Popular!] We usually compare with a
p-series ∑∞
=1npn
1
1pifdiv1pifconv
≤
>
←any positive constant will do
[we know the result beforehand]
Solution
n
1nn a
alim +
∞→
( )( )
( )( )2n
21n
n !n2!2n
!22n!1)(n2lim
+
+=
+
∞→
( ) 2)(2n12n
1)n2lim2
n ++
+=
∞→
( 121
<=
Our series converges.
Ratio Test
[Popular!]
Use if you see n!, an or similar expressions e.g. 1×3×…………×(2n+1)
← <1, converges >1, diverges =1, don’t know (use another test)
∑∞
= +
+
1n 43n12n . Determine if it converges or diverges
∑∞
=2n2n(lnn)
1 . Determine if it converges or diverges
∑∞
= +1n 43nsinn2
. Determine if it converges or diverges
∑∞
= +
+
1n 43n52n
3 . Determine if it converges or diverges
( )( )∑
∞
=1n
2n
!2n!n2 . Determine if it converges or diverges
9
10. Alternating Series
Solution
043n
1limn
=+∞→
.
The sequence 43n
1+
decreases (see the graph in GDC)
The series converges
Alternating series Test
For ∑ − nn a1)(
or ∑ +− n1n a1)(
• 0alim nn
=∞→
.
• The sequence na decreases
Solution =1S 0.142, =3S 0.120, =5S 0.110
=2S 0.042, =4S 0.057, =6S 0.064
The result is always between two consecutive values so it is above 0.064, and thus above 0.06
Approximation
← upper bounds
← lower bounds (or vice-versa)
Solution (a) It is simply less that a7= 0.04
251
=
(b) It is simply less that a333= 0.0011000
11003
1=<
So the approximation is correct to 3 sf.
Error of approximation
When you accept Sn as an approximation then |error| < an+1
Solution By the alternating series test both series converge
We check the series of the absolute values
∑∞
=1n2n
1 converges, so the original converges absolutely
∑∞
=1n n1 diverges, so the original converges conditionally
Absolute convergence vs
Conditional convergence
If the series of the absolute values converges the original also converges (absolutely)
If the series of the absolute values diverges, check original by the alternating series test (it may converge conditionally)
Check ∑∞
=
−
1n2
n
n1)( and ∑
∞
=
−
1n
n
n1)( for absolute
or conditional convergence.
Let ∑∞
= +
−
1n
n
43n1)( . Find an upper bound of the error
(a) if you accept S6=0.064 as an approximation (b) If you accept S332 as an approximation; show
that the approximation is correct to 3sf.
Show that the sum ∑∞
=
+
+
−
1n
1n
43n1)( is > 0.06
∑∞
=
+
+
−
1n
1n
43n1)( ,Determine if it converges or diverges
10
11. Power Series
Solution
n
n
1n
1n
nn
1nn x
n31)3(n
xlima
alim+
+
∞→
+
∞→ += x
33nnlim
n +=
∞→=
3x
We solve the equation 13R
=
So the radius of convergence is 3R =
For x=3 the series becomes ∑∞
=1n n1 , so it diverges
For x=-3 the series becomes ∑∞
=1n
n
n(-1) , so it converges
Hence, the interval of convergence is x∈[-3,3[
Always Ratio Test
[the result can be something like that i.e. a|x| or 0, or ∝; see details in the last box]
← This means that the series converges for x∈]-3,3[ diverges for x outside we don’t know yet for x=±3
← Check the endpoints
Solution
n
n
1n
1n
nn
1nn 5)-(x
n31)3(n5)-(xlim
aalim
+
+
∞→
+
∞→ += 5-x
33nnlim
n +=
∞→
=35-x
We solve the equation 13R
=
So the radius of convergence is 3R =
For x=8 the series becomes ∑∞
=1n n1 , so it diverges
For x=2 the series becomes ∑∞
=1n
n
n(-1) , so it converges
Hence, the interval of convergence is x∈[2,8[
Always Ratio Test
Exactly the same procedure but center of convergence = 5 Interval = ]5-R,5+R[ (and check the endpoints)
← This means that the series converges for x∈]2,8[ diverges for x outside we don’t know yet for x=2,8 ← Check the endpoints
Ratio test Radius Interval of convergence
|x|a R=a1 x∈]-R,R[ and check at x=±R
0 R=∞ x∈]-∞,∞ [ ∞ R=0 x=0
The limit
n
1nn a
alim +
∞→
results in
a|x| or 0 or ∞
∑∞
=1nn
n
n3x , Find radius and interval of convergence
∑∞
= ⋅
−
1nn
n
3n5)(x , Find radius & interval of convergence
11
12. Maclaurin Series – Taylor Series
Solution
x)ln(1f(x) −−= 0f(0) =
x11(x)f−
=′ 1(0)f =′
2x)(11(x)f−
=′′ 1(0)f =′′
3x)(12(x)f−
=′′′ 2(0)f =′′′
Thus
L+′′′
+′′
+′
+= 32 x3!(0)fx
2!(0)fx
1!(0)ff(0)f(x)
L++++=⇒3x
2xx0f(x)
32
Just use the formula in the
booklet!
We find the first three derivatives and values at x=0
Notice: the result is a power
series , namely ∑∞
=1n
n
nx with
R=1, interval of conv x∈[-1,1[ Now we know that this series converges to
x11lnf(x)−
=
Solution
0.6663
0.52
0.50.5f(0.5)32
=++≡
4(4)
3 0.54!(c)f(0.5)R = where 0 < c < 0.5
We need 4
(4)
x)(16(x)f−
= . Thus
0.2541
0.5)-4(11(0.5)(0.5)
c)-24(16(0.5)R 4
44
43 ==≤=
The actual value of f(0.5) is ln2 = 0.693
So the actual error is ln2-0.666 = 0.026 (by GDC)
Lagrange form of error
Approximation
[see formula booklet]
Max value for c=0.5
Thus the estimated error was no so good.
Solution
ln2f(0.5) = , 2(0.5)f =′ , 4(0.5)f =′′ , 61(0.5)f =′′′
Thus
L+′′
+′+= 20.5)-(x2!(0.5)f0.5)-(0.5)(xff(0.5)f(x)
L++++=⇒ 32 0.5)-(x380.5)-2(x0.5)-2(xln2f(x)
Just use the formula in the
booklet!
We find (as above) the first three derivatives and the values at x=0.5
Find the Maclaurin series for x1
1lnf(x)
−= , up to x3
Find the approximation for f (0.5) given by the Maclaurin series above. Estimate the error using the Lagrange form. Compare with the actual error.
Taylor series for x1
1lnf(x)
−= up to (x- a)3, a=0.5
12
Solution
We know already 1f(0) = and 4dxdy(0)f
1y0x
==′
==
We need dxdy8y
dxdy5x5y2x
dxyd2
2
+++=
Thus
3732050dx
yd(0)f1y0x
2
2
=+++==′′
==
L+′′
+′
+= 2x2!(0)fx
1!(0)ff(0)f(x) L+++= 2x
2374x1
Maclaurin found by a D.E.
Because f(x)=y and dxdy(x)f =′
Implicit differentiation
Solution
We know that
L++++= 3!x
2!xx1xe
32
Thus
L+−+−= 3!x
2!x1x-e
6422
x
Maclaurin found by another
known Maclaurin series.
(see formula booklet)
Solution
L++−= 5!x
3!xxsinx
53
(a) LL ++−=++−=′=
′
4!x
2!x15!
5x3!
3xx)(sinxcosx42
(b) x
04!
4x2!
2xdx5!
5x3!
3xxsinxdxx
0
x
0
∫∫ +−=
++−= LL
L+−=+−⇒4!
4x2!
2x1cosx
L++−=⇒ 4!x
2!x1cosx
42
Differentiating and integrating
a series, term by term (see formula booklet) Differentiate both sides. Integrate both sides; definite integrals from 0 to x.
Let 22 4y5xyxdxdy
++= , and 1y = when 0x = .
Find the Maclaurin series of y = f(x) up to x2.
Find the Maclaurin series for 2-xe f(x) = , up to x6
Based on the maclaurin series of sinx find the Maclaurin series for cosx by using term by term (a) Differentiation (b) Integration