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Solutions to Math-106, Fall 2004, Problem Set: Function Behavior and Integration, Exams of Calculus

The solutions to the mt-2 problems in math-106, fall 2004, which cover topics such as function behavior, concavity, and integration. The solutions include step-by-step calculations and explanations.

Typology: Exams

2012/2013

Uploaded on 03/21/2013

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Math-106, Fall 2004, MT-2 (Type A) Problems and Solutions
()
(
)
(
)
(
)
1141444 23 +===
xxxxxxxxf
For
x
()
,1,
(
)
<
0xf f is decreasing.
For
x
()
,0,1
()
>
0xf f is increasing.
For
x
()
,1,0
()
<
0xf f is decreasing.
For
x
()
,,1
()
>
0xf f is increasing.
()
00 ==
xxf or 1=x or 1=x.
:1=x f changes sign from – to + It is local minimum with value
()
21 =f.
:0=x f changes sign from + to – It is local maximum with value
()
30 =f.
:1=x f changes sign from – to + It is local minimum with value
()
21 =f.
()
(
)
134412 22 ==
xxxf
For
()
>
0,
3
1
,xfx concave up.
For
()
<
0,
3
1
,
3
1xfx concave down.
For
()
>
0,,
3
1xfx concave up.
pf3
pf4
pf5
pf8
pf9

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Download Solutions to Math-106, Fall 2004, Problem Set: Function Behavior and Integration and more Exams Calculus in PDF only on Docsity!

Math-106, Fall 2004, MT-2 (Type A) Problems and Solutions

( ) (^4 44) ( 1 ) 4 ( 1 ) ( 1 )

3 2 f ′^ x = xx = xx − = xx − ⋅ x +

For x ∈(− ∞,− 1 ), f ′( x ) < 0 ⇒ f is decreasing.

For x ∈( − 1 , 0 ), f ′( )^ x > 0 ⇒ f is increasing.

For x ∈( 0 , 1 ), f ′( ) x < 0 ⇒ f is decreasing.

For x ∈( 1 , ∞ ), f ′( )^ x > 0 ⇒ f is increasing.

f ′ ( ) x = 0 ⇒ x = 0 or x = 1 or x =− 1.

x =− 1 : f ′^ changes sign from – to + ⇒ It is local minimum with value f ( − 1 ) = 2.

x = 0 : f ′^ changes sign from + to – ⇒ It is local maximum with value f ( ) 0 = 3.

x = 1 : f ′^ changes sign from – to + ⇒ It is local minimum with value f ( ) 1 = 2.

( ) 12 4 4 ( 3 1 )

2 2 f ′′^ x = x − = ⋅ x

For ′′( ) > ⇒ 

x , f x concave up.

For ′′( ) < ⇒ 

x f x concave down.

For ′′( ) > ⇒ 

x f x concave up.

( ) 3

f ′′ x = 0 ⇒ x =± and when

3

x = ± , f changes sign. In other words

and 

are both inflection points.

If we put

x x u e e

− = + then du ( e e ) dx

x x = − ⋅

− and

tanh xdx = u C ( e e ) C ( x ) C u

du (^) x x = + = + + = + ′

− ∫

ln ln lncosh.

Solution

F ( ) x f ( ) t dt

x

a

( ) ( ( ) ( )) ( ) ( ) (^) =

∫ ∫

→ →

x h x

h h

f t dt f t dt h

F x h F x h

F x

0 0

0 0

lim

lim

= ( ) ( ) ( ) (^) 

∫ ∫ ∫

x xh x

x

h

f t dt f t dt f t dt (^0) h (^) 0 0

lim = ( ) ∫

x h

x

h

f t dt h

lim 0

By the Mean Value Theorem for Integrals, there exists c ∈ ( x , x + h )such that

( ) ∫

⋅ ⋅

x h

x

f t dt h

= f ( c ).

Since f is a continuous function, we have F ( x ) f ( ) c f ( ) c f ( ) x h c x

→ →

lim lim 0

( )

( )

( )

( x )

x x t x

dt

dt

d

x

2

2 2

3

1 sin

ln 1 sin

sin 2 1 sin ln 1 sin

2 ln +

Solution : We have dx

dx

dy L (^)  ⋅

2

1

2

x

x

x x

x x

dx

dy

So 2

(^2222)

x

x x

x

x

dx

dy − + = + 

x

x

x

x

x

x

x

x x

2 2 2 2

2

4 2

=

since x^ ∈[^1 ,^2 ], so x ≥ 0.

∴ (^) =  

∫ ∫ ∫ 1

2 2 2

1

2

1

2

1

2

ln 2 2

x

x dx x

dx x x

x dx x

x L

= ln 2 4

ln 2 2

ln 1 2

ln 2 2

First solution:

[ ( )] ( )

 

  

 − ^ + + 

  

 (^) + + 1 2 2

ln 1 ln 1

2 1 1 2

sinhln 1

2 2

x x x x

e e x x

x x x x

2

2 2 2

2

2 2

x x

x x x x

x x

x x

= x ( ( ) x )

x x

x x x 1

2

2 2

sinhsinh

1

[ ( x x )] [ ( ) x ]

2 1 sinh ln 1 sinhsinh

− ⇒ + + =

⇒ ( [ ( )]) [ ( ( ))]

− −

x + x + = x

1 2 1 1 sinh sinhln 1 sinh sinhsinh

ln ( 1 )

2 x + x + = ( x )

1 sinh

− .

Second solution:

( )

( )

( ) ( )

2 sinh

2 sinh

sinh

1

1 sinh

cosh

sinh

sinh 1 1

1

y x y x

x

y dx

d

x dx

d

y y x

y

− −

= =

=

[ ]

ln 1 2 2

2

2

2

2 2

x x x

x

x x

x x

x

x

x x dx

d