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An in-depth exploration of various mathematical concepts, including logarithm and exponent rules, basic principles of counting, permutations, combinations, and the binomial theorem. The rules for logarithms and exponents, as well as the addition, multiplication, and subtraction principles of counting. It also delves into permutations and combinations, explaining how to calculate them and providing examples. The document concludes with an explanation of the binomial theorem and its application.
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Logarithm/Exponent Rules
log (^) a ( xy )log ax log ay
Note : The rule does not apply to log (^) a ( x y ). A way to bound log (^) a ( x y )would be to use
the following relationship:
log 2 log max( , )
log ( ) log ( 2 max( , ))
x y
x y x y
a a
a a
x y x a
y
a
log ( ) log
b
b
a
Note : This rule allows us to change the base of a log if we don't like the one it is currently in.
b x^ by
log log
Let
by c x
log .
Then, by definition of logarithm and exponent,
log (^) x c log (^) b y.
Using logarithm rule three then to change the base, we get:
2
2
2
2
Rewriting,
2
2
2
2
Then, by using the common base rule backwards,
log (^) y c log (^) b x.
Use the definition of a log to yield
b x
log .
Now, substitute for c:
b x^ by
log log
Exponents
(^) a b ab x x x
a b ab ( x ) x
(^) a ab ab x x x
b
Note: This is a very common error. Avoid it!!
x
a y
a = (xy)
a
Basic Principles of Counting (necessary for probability)
number of members of the union is found by simple addition:
Where | X | is the cardinality of the set X.
Cartesian Product of the sets X and Y , multiply the cardinalities of the sets as so:
Example: Given ( x , y ) for 0 x 10 , 0 ^ y^ ^20 , the total number of elements is:
10*20 = 200.
elements that you don’t want, then subtract this from | U | as so:
This principle assumes that U is countable.
Permutations
Given n distinct objects (1, 2, 3, …, n ), you want to order any k of them. Each order is distinct
and is counted separately. What we want is a k -tuple:
Example: 3, 2, 1, 4, 5, 6, …, k
2, 3, 1, 4, 5, 6, …, k
In general,
n k
n P nn n n k n k
Given, ( x + y )
n , in general we have:
n n n n n x y
n
n x y
n
n x y
n x y
n x y
n
x y x y x y x y
0 1 1 2 2 1 1 0
1
...
0 1 2
( )( )( )...( )
When we set x=1 and y=1, we find:
n
k
n
k
n
x y
0
Also, since any choice of k objects out of n corresponds to the remaining n-k objects, we have:
n k
n
k
n
1
1 ...
1
1 n k
k
n
k
n
k
n
When we subtract 1 from the numerator and denominator, successive terms are greater than or
equal to the previous term. Since
k
n is the minimum term, the lower bound is:
k
k
n
k
n
for large n and k.
To get the upper bound,
!
( 1 )...( 1 )
k
nn n k
k
n (^)
.
Since each value in the numerator is less than or equal to n, we have
k!
n
k
n
k
n
e
n n (^)
e
n
n
^
n
e
n
k
k
k
k
en
e
k
n
k
n
Assumptions of probabilities
(where P ( e ) is the probability of an event e and s is the sample)
e S
P ( e ) 1
In general,
The probability of an event not occurring can be found by: 1 ^ p ( failure ).
Example:
Given,
What is P(temp>90)?
Solution:
P(Temp > 90) = P(Rain (Temp > 90)) + P((not rain) (Temp>90))
P(Temp > 90) = (0.4)(0.3) + (0.6)(0.8)
P(Temp > 90) = 0.
In general,
Submitted by: Fredrick Okumu and Christina Spradlin