Advanced Placement Calculus Sequences, L’Hôpital’s Rule, and Improper Integrals Chapter 9 Section 3 Relative Rates of Growth Essential Question: How are little-oh and big-oh notation used to discuss the rates of growth of functions? Objectives: The student will be able to use little-oh and big-oh notation in determining, investigating, and comparing the rates of growth of functions. Terms: Big-oh - Big O notation Binary search Little-oh notation Rates of Growth Sequential Search Theorems: - - 1 Definition: Faster, Slower, Same-rate Growth as x →∞ Let f x () and gx () be positive for x sufficiently large. 1. f grows faster than g (and g grows slower than f) as x →∞ if lim x→∞ f x () gx () = ∞ or, equivalently, if lim x→∞ gx () f x () = ∞ 2. f and g grow at the same rate as x →∞ if lim x→∞ f x () gx () = L ≠ 0, where L is finite and not zero
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Advanced Placement CalculusSequences, L’Hôpital’s Rule, and Improper Integrals
Chapter 9 Section 3Relative Rates of Growth
Essential Question: How are little-oh and big-oh notation used to discuss the rates of growth of functions?
Objectives: The student will be able to use little-oh and big-oh notation in determining, investigating, and comparing the rates of growth of functions.
Terms:
Big-oh - Big O notation
Binary search
Little-oh notation
Rates of Growth
Sequential Search
Theorems:
- � -1
Definition: Faster, Slower, Same-rate Growth as x→∞ Let f x( ) and g x( ) be positive for x sufficiently large. 1. f grows faster than g (and g grows slower than f) as x →∞ if
limx→∞
f x( )g x( ) = ∞ or, equivalently, if lim
x→∞
g x( )f x( ) = ∞
2. f and g grow at the same rate as x→∞ if
limx→∞
f x( )g x( ) = L ≠ 0, where L is finite and not zero
Graphing Calculator Skills:
None
- � -2
Transitivity of Growing Rates If f grows at the same rate as g as x →∞ and g grows at the same rate as h as as x →∞, then f grows at the same rate as h as x →∞.
Definition: f of Smaller Order than g Let f and g be positive for x sufficiently large. Then f is smaller order than g as x →∞ if
limx→∞
f x( )g x( ) = 0
We write f = o g( )and we say "f is little-oh of g."
Definition: f of at Most Order of g Let f and g be positive for x sufficiently large. Then f is of at most the order of g as x →∞ if there is a positive integer M for which
limx→∞
f x( )g x( ) ≤ M
for sufficiently large. We write f =O g( )and we say "f is big-oh of g."
To find an item in a list of length n, 1. A sequential list takes O n( ) steps;
2. A binary search takes O log2 n( ) steps;
Sample Questions:
1. Determine whether which function grows faster as � .
�
2. Determine the order of the function from slowest growing to fastest growing as � .
�
3. Write an expression using two functions listed above that correctly uses little-oh notation. Write an expression using two functions listed above that correctly uses big-oh notation.
3. Write an expression using two functions listed above that correctly uses little-oh notation. Write an expression using two functions listed above that correctly uses big-oh notation.
- � -8
∴The order from slowest growing to fastest
growing is: log3 x, x3, e x3 and 3x .
Any of the following could be used for big-oh notation:
O x3( ) = log 3x O e x3( ) = x3 O 3x( ) = e x3
O e x3( ) = log 3x O 3x( ) = x3
O 3x( ) = log 3x
Any of the following could be used for big-oh notation: