Natural Logarithm Function: Definition, Properties, and Algebraic Relationships, Papers of Calculus

An in-depth exploration of the natural logarithm function, including its definition, properties, and algebraic relationships. The natural log function, denoted as ln x, is the inverse function of x^n for x > 0. The definition of the natural log function, its properties such as increasing and concave down, and algebraic properties like the logarithm of a product and power. Examples and exercises are also included to help illustrate the concepts.

Typology: Papers

Pre 2010

Uploaded on 08/18/2009

koofers-user-axg
koofers-user-axg 🇺🇸

10 documents

1 / 9

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Lecture 2Section 7.2 The Logarithm Function, Part I
Jiwen He
1 Definition and Properties of the Natural Log
Function
1.1 Definition of the Natural Log Function
What We Do/Don’t Know About f(x) = xr?
We know that:
For r=npositive integer, f(x) = xn=
ntimes
z }| {
x·x· · · x. To calculate 26, we
do in our head or on a paper
2×2×2×2×2×2,
but what does the computer actually do when we type
2^6
For r= 0, f(x) = x0= 1.
For r=n,f(x) = 1
xn,x6= 0. x1=1
x.
For r=p
qrational, f(x) = y,x > 0, where yq=xp.f(x) = x1
nis the
inverse function of g(x) = xnfor x > 0. gf(x) = x1
nn
=x.
Properties (rand srational)
xr+s=xr·xs, xr·s=xrs,
d
dx xr=rxr1,Zxrdx =1
r+ 1xr+1 +C, r 6=1.
We DO NOT know yet that:
Zx1dx =Z1
xdx =? and xr=? for rreal.
1
pf3
pf4
pf5
pf8
pf9

Partial preview of the text

Download Natural Logarithm Function: Definition, Properties, and Algebraic Relationships and more Papers Calculus in PDF only on Docsity!

Lecture 2Section 7.2 The Logarithm Function, Part I

Jiwen He

1 Definition and Properties of the Natural Log

Function

1.1 Definition of the Natural Log Function

What We Do/Don’t Know About f (x) = xr^? We know that:

  • For r = n positive integer, f (x) = xn^ =

︷ n^ times︸︸ ︷ x · x · · · x. To calculate 2^6 , we do in our head or on a paper

2 × 2 × 2 × 2 × 2 × 2 ,

but what does the computer actually do when we type

2^

  • For r = 0, f (x) = x^0 = 1.
  • For r = −n, f (x) =

x

)n , x 6 = 0. ⇒ x−^1 = (^) x^1.

  • For r = pq rational, f (x) = y, x > 0, where yq^ = xp. f (x) = x 1 n^ is the inverse function of g(x) = xn^ for x > 0. ⇒ g ◦f (x) =

x n^1

)n = x.

  • Properties (r and s rational)

xr+s^ = xr^ · xs, xr·s^ =

xr^

)s , d dx

xr^ = rxr−^1 ,

xr^ dx =

r + 1

xr+1^ + C, r 6 = − 1.

We DO NOT know yet that: ∫ x−^1 dx =

x

dx =? and xr^ =? for r real.

What is the Natural Log Function?

Definition 1. The function

ln x =

∫ (^) x

1

t

dt, x > 0 ,

is called the natural logarithm function.

  • ln 1 = 0.
  • ln x < 0 for 0 < x < 1, ln x > 0 for x > 1.
  • (^) dxd (ln x) = (^1) x > 0 ⇒ ln x is increasing.
  • d

2 dx^2 (ln^ x) =^ −^

1 x^2 <^0 ⇒^ ln^ x^ is concave down.

1.2 Examples

Example 1: ln x = 0 and (ln x)′^ = 1 at x = 1

Exercise 7.2. Show that

xlim→ 1

ln x x − 1

Proof.

lim x→ 1

ln x x − 1

= lim x→ 1

ln x − ln 1 x − 1

= d dx

(ln x)

x=

=^1

x

x=

The limit has the indeterminate form

0

and is interpreted here in terms of the derivative of ln x.

Example 3: ln n and Harmonic Number

Proof. Let P = { 1 , 2 , · · · , n} be a partition of [1, n]. Then

Lf (P ) =

3 +^ · · ·^ +

n <

∫ (^) n

1

t dt <^ 1 +

3 +^ · · ·^ +^

n − 1 =^ Uf^ (P^ ).

Example 4: Euler’s Constant γ

Exercise 7.2.25(c) Show that

1 2

< γ = (^) nlim→∞

n − 1

− ln n

Example 4: Euler’s Constant γ

Proof.

  • The sum of the shaded areas is given by

Sn = Uf (P ) −

∫ (^) n

1

t

dt = 1 +

n − 1

− ln n.

Example 4: Euler’s Constant γ

Proof. (cont.)

  • The sum of the areas of the triangles formed by connecting the points (1, 1), · · · , (n, (^1) n ) is

Tn =

[(

n − 1

n

)]

n

Example 4: Euler’s Constant γ

Proof. (cont.)

  • The sum of the areas of the indicated rectangles is

Rn = 1

[(

n − 1 −^

n

)]

n.

  • Right side: d dx

r ln x) = r 1 x

  • Then ln xr^ = r ln x + C for some constant C. At x = 1, both sides are zero, thus C = 0.

2 Range and Limits of the Natural Log Function

2.1 Range of the Natural Log Function

Range = (−∞, ∞)

Theorem 4. The log function ln x has range (−∞, ∞) and

lim x→ 0 +

ln x = −∞, (^) xlim→∞ ln x = ∞.

Proof. • Let M > 0 arbitrary in R. Since ln 2 > 0, ∃n ∈ N s.t.

n ln 2 > M, −n ln 2 < −M.

  • Since n ln 2 = ln(2n) and −n ln 2 = ln(2−n),

ln(2n) > M, ln(2−n) < −M.

2.2 Limits of the Natural Log Function

Limit: limx→∞ lnxr^ x

Theorem 5.

x^ lim→∞^ ln^ x xr^

= 0 for any r > 0.

ln x grows slower than any positive power as x → ∞.

Proof. • Choose a rational number p s.t. 1 − r < p < 1. For x > 1,

ln x =

∫ (^) x

1

t dt <

∫ (^) x

1

tp^ dt^ =^

1 − p t

1 −p

x

1

1 − p

x^1 −p^ − 1

  • Then 0 < ln^ x xr^

1 − p

x^1 −p^ − 1 xr^

1 − p

x^1 −p−r^ − x−r^

Use the pinching theorem to take the limit as x → ∞.

Limit: limx→ 0 + xr^ ln x

Corollary 6. lim x→ 0 +^

xr^ ln x = 0 for any r > 0.

Proof. Let y = x−^1. Then

lim x→ 0 +^

xr^ ln x = lim y→∞ y−r^ ln y−^1 = − (^) ylim→∞^ ln^ y yr^

3 Number e

Number e

Definition 7. The number e is defined by

ln e = 1

i.e., the unique number at which ln x = 1.