An introduction to number bases, using other numbers apart from 10 for the base in which to write numbers.
Bases need not be whole numbers themselves; we look at negative bases; negative "digits", using the Fibonacci numbers
as the base and also the factorials and binomial numbers and even an irrational number Phi (the golden ratio).
The calculators on this page require JavaScript but you appear to have switched JavaScript off
(it is disabled). Please go to the Preferences for this browser and enable it if you want to use the
calculators, section links and other interactive features, then Reload this page.
Contents of this page
The icon means there is a
You Do the Maths... section of questions to start your own investigations.
The calculator icon
indicates that there is a live interactive calculator in that section.
Representing whole numbers in different bases
We normally write numbers in base 10 so that each digit counts a power of 10 in the value:
2017 = 2×10^{2} + 0×10^{2} +1×10^{1} + 7×10^{0}
In the American and UK systems of measuring liquids in pints and gallons,
there are 8 pints to 1 gallon, so 20 pints represents 2 gallons and 4 pints.
It used to be the case that 8 gallons make 1 bushel in the UK but
the American and British systems
are now different.
This is a base 8 system where we counts in 8s:
90 pints is 1×8^{2} + 3×8 + 2: 90 in base 10 is 132 in base 8
Digits
We see that in base 10 (the decimal system), we need only 10 symbols, the digits0, 1, 2, 3, 4, 5, 6, 7, 8 and 9.
In Base 8 (octal) we need only the 8 symbols 0, 1, 2, 3, 4, 5, 6, 7
because 8 in one column will convert into 1 in the next higher column.
Similarly in base β we need only β symbols for the digits, one digit per column.
So what if the base is bigger than 10?
Computer engineers often use this since computers work in Base 2 (Binary) using binary-digits0, 1
and it was often more convenient to use base 16 (hexadecimal) using the "digits"
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F.
In base β we need only β 'digit' symbols
To show what base a number is in, we write its base as a _{suffix} after the number representation, e.g.:
90 = 132_{8} 10 = 12_{8} 7 = 12_{5}
If we omit the base then the base used is 10.
Names of Bases
base 2: binary
base 3: ternary, trinary
base 4: quaternary
base 5: quintal, quinary
base 6: sextal, senary
base 7: septal, septenary
base 8: octal
base 9: nonary
base 10: decimal, denary
base 11: undecimal
base 12: duodecimal
base 16: hexadecimal
base 20: vigesimal
base 30: trigesimal
base 40: quadragesimal
base 50: quinquagesimal
base 60: sexagesimal
base 70: septuagesimal, septagesimal
base 80: octagesimal
base 90: nonagesimal, nonogesimal
base 100: centesimal
The vigesimal system was used by the Mayan civilisation in central America and also in Britain where 20 is called a "score".
Other cultures used a base 5 system (New Hebrides) or a binary system. 12 (duodecimal) was also popular because it is easy to divide by 2, 3 and
4 and the ancient Babylonians used base 60 (sexagesimal) because it was also easy to divide by 2, 3, 4 and 5. The system of money used in Britain from the 8th century until 1971 had
12 pence (d) in a shilling (s) and 20 shillings in a pound (£).
An easy method to convert a number to and from base β
Let's look at an example.
To convert a (decimal) number to base 6, say, keep dividing the number by 6 recording any remainders. The remainders become the base 6
representation of the number.
6
5755
6
959
rem = 1
5755 = 6×959 + 1
6
159
rem = 5
959 = 6×159 + 5
6
26
rem = 3
159 = 6×26 + 3
6
4
rem = 2
26 = 6×4 + 2
0
rem = 4
4 = 6×0 + 4
To see the base 6 representation, write down the reminders from the bottom to the top: 5755 = 42351_{6}
This works for any numeric base and shows that the 'digits' of base β must be 0,1,2,...,β-1 because they are the remainders on
dividing by β.
To convert a number from base β to decimal we reverse the process,
starting with the leftmost digit and continually multiplying by 6 and adding in the next digit
as shown in the multiplications in the table above, working from the bottom row to the top.
Negative numbers
We usually represent negative numbers with a negative sign (–) before the value so that we have, in increasing order, the numbers ... -3 -2 -1 0 1 2 3 ...
However, we can represent both positive and negative values without using a sign if we have a negative base
Negative Bases
If we use base -10 (negadecimal) then the columns have the values
Column:
...
4
3
2
1
0
Meaning
...
(-10)^{4}
(-10)^{3}
(-10)^{2}
(-10)^{1}
(-10)^{0}
Value
...
10000
–1000
100
–10
1
At first it may not be obvious that
Every whole number value, both positive and negative, has a unique representation
in base -10 (negadecimal) using just the digits 0 to 9 without needing a sign
For instance,
0 to 9 are as normal
10 = 100−90 = 190_{−10}
11 to 19 are therefore
11=191_{−10},
12=192_{−10},
... ,
19=199_{−10}
Write these numbers in base −10: 110, 119, 150, 199, 301, 399, 901, 999
How are these (base 10) values represented in base −10: −1 −2 −9 −10 −11 −100 −1000
What are the first 5 column headers in base −2?
Make a table of numbers from −12 to 12 in base −2.
Negative digits
Instead of using powers of a negative number base to represent negative values, we could use negative 'digits'.
This is not as peculiar as it might at first sound. For example if the time is 2:50 then we can say "10 to 3"
which is in effect using the hour 3 and the minutes -10.
We can also see times expressed with minutes from 0 to 59 (base 60) on timetables for example and, when saying the time
the minutes go from -29 to +30 as in "29 minutes to 3" up to "3:30".
So for base β instead of using 'digits' 0 to β−1
we could just as effectively use 'digits' −β/2 to
+β/2 if β is odd (rounding the halves).
To make sure representations are unique when β is even we can decide to
use either−β/2or elseβ/2 but not both 'digits'.
Using two symbols for negative digits is inconvenient so
to use one single 'digit' per column and we can show negative 'digits' with the
negative sign placed above the 'digit' so that −3 is written as 3.
Base −10 using 'digits' 4_{−10}, 3_{−10}, 2_{−10}, 1_{−10}, 0_{−10}, 1_{−10}, 2_{−10}, 3_{−10}, 4_{−10}, 5_{−10}
0 .. 5:
0_{−10} .. 5_{−10}
6 .. 15:
14_{−10} .. 15_{−10}
16 .. 25:
24_{−20} .. 25_{−20}
−4 .. −1:
4_{−10} .. 1_{−10}
−16 .. −5:
24_{−10} .. 15_{−10}
−26 .. −15:
34_{−10} .. 25_{−10}
123 is 100 −20 −3 = 77
It is easy to see if a value represented using nega-digits is positive or negative.
Show how
If the leftmost 'digit' is positive, the value is positive;
if the leftmost 'digit' is negative, the value is negative
Also, it is easy to negate a value in this system.
Show how
Change each positive 'digit' into its negative form and vice-versa.
Factorial base
Instead of using powers of a number as the column headings, we can use other series of numbers too, for instance the factorials.
The factorial numbers count the number of permutations of n objects.
We can name the objects 1,2,...,n.
So the ways to permute 3 objects (to arrange them all in some order)
are: 123, 132, 213, 231, 312, 321.
This is because there are 3 ways to choose the first number, any of the remaining 2 can go next and the
1 value left over
goes in the final place, making 3×2×1 permutations. Similar reasoning shows there are 4×3×2×1 permutations
of 4 objects. For n objects there are n! = n×(n−1)×...×3×2×1 permutations, called
factorial n.
n
1
2
3
4
5
6
n!
1
2
6
24
120
720
These numbers can be used as the columns of a mixed base system, arranging them in reverse order: ..., 5!, 4!, 3!, 2!, 1!.
The digits allowed in each column depend on the column number:
the first column (1!) is 0,1; the second column (2!) can have digits 0,1 or 2;
and in general the n-th factorial column can have 0,1, up to the column number n.
This is because n in column n means n×n! but (n+1)×n! is (n+1)!,
which "carries" to the next larger column heading (on the left).
To indicate numbers in this base, we list the "digits" and use the exclamation mark "!" as the base.
For example
Easy methods of converting to and from the Factorial Base
To convert a number to base !:
We can adapt the easy method to convert a number to base β above for converting
a (decimal) number to base !. This time we start by dividing by 2 and the divisor increases each time.
Here is an example to convert 69 to base !:
2
69
3
34
rem=1
69 = 2×34 + 1
4
11
rem=1
34 = 3×11 + 1
5
2
rem=3
11 = 4×2 + 3
0
rem=2
2 = 5×0 + 2
To see the base ! representation, write down the reminders from the bottom to the top: 69 = 2311_{!}
To convert a base ! representation to decimal:
First write the multipliers above each digit by starting from the right with 2
and proceed leftwards with multipler 3 then 4 and so on.
We will not use the leftmost 'multiplier' above the leftmost digit.
Start with the most significant digit (the leftmost digit) which is the initial 'sum'
Multiply the sum by the next column multiplier on its right ...
... and then add on the 'digit' under that multiplier to make the new 'sum'
Repeat the previous two steps of multiplying and adding
until you have a 'sum' under the final (rightmost) digit which is the decimal value
For example, using the same numbers as the example above, we have:
To convert 2311_{!} to decimal:
multiplier
4
3
2
! digits
2
3
1
1
sum× multiplier
8
33
68
sum
2
11
34
69
2311_{!} = 69
Tests for Divisibility in Base Factorial
Every factorial from n! onwards is a multiple of n.
So to test if any given factorial base representation is divisible by n, we only need to test the number represented by the
last n−1 'digits'.
For instance, to test if n_{!} is divisible by 2=2!,
look only at the last 'digit'. If it is 0, n is even, divisible by 2; if it is 1, the number is odd.
For divisibility by 3, test only the last 2 'digit's. if they are {1,1}_{!} or
{0,0}_{!} then n is a multiple of 3; otherwise it is not.
There are 6 possibilities for the final 3 'digits' to test if a value is a multiple of 4.
Show them
For larger divisors d, convert only the final d digits to base 10 and then test.
These divisibility tests are an advantage only if we are dealing with very large numbers and testing for small divisors.
An Application of Base Factorial
There are n! permutations of n objects. If we label each objects with an index number from 1 to n then we need only consider
permutations of the numbers 1 to n to represent the ordering of the objects themselves.
Here is a permutation that moves the first object to the 3rd position,
the second object becomes the 4th, the third is moved to 2nd place and the fourth take up the 1st place. For example the
letters of "arts" under this permutation (where 1="a", 2="r", 3="t" and 4="s")
changes it to "star":
1
2
3
4
a
r
t
s
↓
↓
↓
↓
↓
↓
↓
↓
3
4
2
1
s
t
a
r
Note that we could have interpreted this as "1→3; 2→4; 3→2; 4→1" to mean the first object is replaced by the third
of the original list so that we begin with "t". Under this interpretation the permutation takes "arts" to "tsra". But this is not the interpretation we are using here.
We usually just list the new positions as the permutation so the above example is (3412).
The 24 permutations of 4 objects can be listed in lexicographic order which means that the permutations,
as numbers, are in numerical order or dictionary or alphabetic order. For instance here is the order of all the permutations of
1,2,3 and 4 sorted into lexicographic (dictionary) order - think of 1 as "a", 2 as "b", 3 as "c" and 4 as "d":
0:
1,2,3,4
1:
1,2,4,3
2:
1,3,2,4
3:
1,3,4,2
4:
1,4,2,3
5:
1,4,3,2
6:
2,1,3,4
7:
2,1,4,3
8:
2,3,1,4
9:
2,3,4,1
10:
2,4,1,3
11:
2,4,3,1
12:
3,1,2,4
13:
3,1,4,2
14:
3,2,1,4
15:
3,2,4,1
16:
3,4,1,2
17:
3,4,2,1
18:
4,1,2,3
19:
4,1,3,2
20:
4,2,1,3
21:
4,2,3,1
22:
4,3,1,2
23:
4,3,2,1
If we want to choose a random permutation or if we want to make sure we go through all permutations, we need a way of changing the number
of the permutation in the lexicographic order to the permutation itself - and this is where base Factorial comes in.
The base factorial
representation of an index number n in the lexicographic order is easily changed into the permutation itself.
Calculator for Factorial Base and Permutations
Factorial Base and Permutations C A L C U L A T O R
The Binomial Representation using Pascal's Triangle
We can represent every whole number by summing one number chosen from the columns of Pascal's triangle except the column of 1s:
r
…
7
6
5
4
3
2
1
0
n
1
0
1
1
1
1
2
1
2
1
3
3
1
3
1
4
6
4
1
4
1
5
10
10
5
1
5
1
6
15
20
15
6
1
6
1
7
21
35
35
21
7
1
7
...
⋮
Notation:
(
n
)
= Binomial(n,r)
r
=
n!
(n-r)! r!
=
n(n−1)...(n−r+1)
r(r−1)...3×2×1
Other notations are _{n}C_{r}, ^{n}C_{r} or C_{n,r}
and it is pronounced "n choose r".
Each element in Pascal's Triangle above, which is right-justified here, is the sum of the element above
and the element to the right of that one where blank entries mean "0". The right-hand elements
in column 0 are always being 1:
(
n
)
=
(
n − 1
)
+
(
n − 1
)
, n ≥ r > 0
r
r
r − 1
(
n
)
= 1;
(
n
)
= 0 otherwise
0
r
Pascal's Triangle has many interesting properties including coefficients of certain polynomials and
has many applications including probabilites.
More...
The entry in column r and row n represents the number of way to choose r things from n where the
choice is just a collection. The items have no order within the collection or, alternatively,
all orderings of the same items are the same "choice". We say "from n choose r" for
_{n}C_{r} = Binomial(n,r). For example to choose 3 people to vote for
from 5 candidates:
_{5}C_{3} = Binomial(5,3) =
5 × 4 ×3
= 10
3 × 2 × 1
so there are 10 ways to choose the 3 out of the 5 possible choices.
If the 5 candidates are A, B, C, D and E then the 10 ways to choose 3 to vote for are
ABC, ABD, ABE, ACD, ACE, ADE, BCD, BCE, BDE, CDE.
The rows of Pascal's Triangle are the coefficients of (1+x)^{n}, for example n=3:
(1+x)^{3} = 1 + 3 x + 3 x^{2} + x^{3}
Every row is palindromic (the same when reversed). This is because the number of ways to
choose r out of n possible is the same as the number of ways to choose (n-r) to leave out
of the n possibles.
The sum of the entries in row r is 2^{r}. This is because each of the n
possible objects may be in or out of our choice so we have 2^{n} collections of choices altogether.
The columns are the coefficients of
1
(1 − x)^{(r−1)}
, for example r=3 use the column headed 2:
1
= 1 + 3 x + 6 x^{2} + 10 x^{3} + ...
(1 − x)^{3}
The probability of getting 0, 1, 2, ... or n heads when n coins are tossed together are shown on row n.
For example when n=3:
number of heads
0
1
2
3
probability
1
3
3
1
8
8
8
8
The basic Recurrence relation uses two consecutive numbers on the row above to make each entry:
Binomial(n,r) = Binomial(n-1, r) + Binomial(n-1,r-1) if r<=n
Binomial(n,1) = 1
Binomial(0,r) = 0 if r is not 0
The Hockey Stick Theorem
Every number in the triangle is the sum of those on the up-and-right diagonal starting at the number on the row above.
The numbers used make a hockey stick shape, hence the name, and illustrate the equation:
(
5
)
=
(
4
)
+
(
3
)
+
(
2
)
+
(
1
)
3
3
2
1
0
The Hockey Stick Theorem is
_{r}
(
n
)
=
Σ
(
n−1−i
)
if n>r
r
r−i
^{i = 0}
Looking into Pascal's Triangle: Combinatorics, Arithmetic, and Geometry
P Hilton, J Pedersen Mathematics Magazine vol 60 (1987), pages 305-316
JSTOR
A nice article with lots of formulae that make great investigations for students to discover for themselves
Sums of Powers J Tanton Math Horizons vol 11 (2003), pages 15-20
JSTOR
Another excellent article for teachers and others
See Eric Weisstein's MathWorld (a Wolfram Web Resource) entry on
Binomial Coefficient
To use these numbers as an integer representation method, there is a separate representation for the N columns ending at column 1
ignoring the column of 1s, column 0.
So we first decide on the number columns we want to use. We choose one element from each column as
the representation of their sum.
There are several ways to do make the same total usually, so, to make the representation unique
as we go to a smaller column number, we must choose an entry with a smaller row number than the ones before.
It is the row number for each of the columns that forms the representation.
This means that a Binomial representation is a list of descending (row) numbers.
Because the representation will change depending on how many columns we use,
the Base is shown as Binn where n is the number of columns used.
Each column beyond column 0 starts with a blank entres which represent 0.
Then, using columns N down to 1, every integer has just one representation as a sum of N binomials
with the "descending entries" condition.
Binomial Base numbers are shown with the row numbers as 'digits' in columns ..., 3, 2, 1 so that the
'digits' will always decrease. The number r in column c represents the value Binomial(r,c) as defined above.
The sum of these binomials gives the integer represented in the Binomial base.
For example, using columns 3,2 and 1 we can choose one from each column to make a total of 6 as follows:
6 using 3 columns of Pascal's Triangle is Binomial(4, 3)+Binomial(2, 2)+Binomial(1, 1) =
3
2
1
{
4,
2,
1
}_{Bin3}
{4,2,1} = 4+1+1 = 6 {4,0,2} = 4+0+2 = 6
Similarly choosing other numbers from those three columns, we have {3,3,2} = 1+3+1 = 6
but only the first has descending row numbers4, 2, 1 and so is the true Binomial
representation of 6 = {4,2,1}_{Bin3}.
With other numbers of columns we have:
Using your answer to Question 1 what is {N+2, N+1, N-2, N-3, ... , 2, 1, 0}_{BinN}
where the 'digits' from N-2 descend by 1 to end at 0?
How is {n, n-1}_{Bin2} related to {n+1, 0}_{Bin2}?
How is {n, n-1, n-2}_{Bin3} related to {n+1, 1, 0}_{Bin3}?
Does this generalise and if so why? (The Hockey Stick Theorem)
What is {n,0}_{Bin2} + {n-1,0}_{Bin2}?
The Art of Computer Programming Vol 4a: Combinatorial Algorithms Part 1 D E Knuth. Page 360
refers to the Binomial representation system using t columns as the Combinatorial Number system of degree t and the following reference...
Ernesto Pascal, Giornale di Matematiche vol 25 (1887), pages 45-49 (in Italian).
Representation of Numbers by Cascades
C C Chen, D E Daykin, Proceedings of the American Mathematical Society (Vol 59, 1976), pages 394-398.
JSTOR
The Fibonacci Bases
The Fibonacci Numbers are 0, 1, 1, 2, 3, 5, 8, 13, 21, ...
where each is the sum of the previous two numbers.
It has many interesting mathematical properties.
As a number base system, we again label the columns in order increasing to the left: 8, 5, 3, 2, 1
with just a single column labelled 1 so we only use Fibonacci numbers with index 2 or more beause Fib(2)=1, Fib(3)= 2, ... .
Every whole number is a sum of Fibonacci Numbers
We can use F to signify a representation using the Fibonacci numbers as column headers.
3 = 100_{F} = 2 + 1 = 11_{F}
Since Fib(1) is 1, we can simply use n Fib(1)'s to sum to any given number n.
But there is always another way to do this too for numbers bigger than 1.
If we write the number of times we need Fib(i) is column i, we have a number representation whose 'digits' are
any whole number.
The minimal and maximal Fibonacci bases
However, if we restrict ourselves to using each Fibonacci number at most once
then it is again possible to find a collection which is a set of Fibonacci numbers whose sum is any given integer.
Two in particular are of interest: since Fib(n-1) + Fib(n-2) = Fib(n), then any two consecutive 1s in a
Fibonacci representation can be "carried" into the next column. It turns out it is always possible
to find a set of Fibonacci numbers with any given sum that
either never have two consecutive 1's - so we use the smallest set of Fibonacci numbers - the minimal
Fibonacci representation or Zeckendorf representation, which we write as Fmin
or never have two consecutive 0s - se we use the largest set of Fibonacci numbers - the maximal FIbonacci
representation which we write as Fmax
Here are all the FIbonacci representation for numbers 1 to 9:
Columns in the Fibonacci base as ..., 8, 5, 3, 2, 1
Columns in the Fibonacci base are ...8 5 3 2 1
n
0
1
2
3
4
5
6
7
8
9
n_{F}
0
1
10
100 11
101
1000 110
1001 111
1010
10000 1100 1011
10001 1101
To convert to and from Fibonacci bases
There are usually many Fibonacci representations of a number using only the 'digits' 0 and 1 in every column and with the column
headings (in reverse order): 1, 2, 3, 5, 8, 13, 21, ...
An easy method of converting a number to base F will give the Zeckendorf represenation which happens to have
the last number of 1s in any of the many representations for the number.
Write the Fibonacci column headings, in order from right to left, from 1,2,... until the column headings are
larger than the value to be converted
Start by writing the decimal number to be converted above the leftmost column header
If the column heading is larger than the number, put a 0 in that column and
keep the number to use on the next column on the right;
Otherwise if the column header is not larger than the number, Subtract the column header value from the number
and write a 1 in the column
repeat the step above on the same or, if you did the subtraction, the reduced decimal number
after the rightmost column you should have reached 0.
If not, you've made a mistake so check your previous steps!
Each column now has a 0 or 1 in it which is the Fibonacci (Zeckendorf) representation
For instance here we convert 52 to base Fibonacci:
A: number
52
18
18
5
5
0
0
0
B: Fib col heading
55
34
21
13
8
5
3
2
1
A-B or A
18
18
5
5
0
0
0
0
F digit
1
0
1
0
1
0
0
0
52 = 10101000_{F}
To convert from base Fibonacci, write the column headings above the digits and add the column headings above each digit '1'.
Up to now we have only used whole numbers as our 'column headings' but always our 'digits' are whole numbers.
It is also possible to use column headings based on powers (a radix system) where the base is not a whole number but
a fraction (a rational) such as 2/3.
coming soon.....
Irrational Bases
But what if our column headings were powers not of a whole number nor even a rational number but
of an irrational number, such as Phi, the golden section number? Yes, this also works and the
'digits' are again 0 and 1.
Base Phi
Phi is 1.6180339... = (√5 + 1)/2, one of the golden section numbers (or golden mean or golden ratio).
Because Phi^{2} = Phi + 1 is a definition of the positive number Phi, we only need "digits"
0 and 1, called "phigits"!
The basic Phi rule is Phi^{n+2} = Phi^{n+1} + Phi^{n}.
All natural numbers are representable in Base Phi using phigits 0 and 1 but we will need negative powers
and so we need a "base point" to act like the decimal point in base 10.
Just as for Fibonacci base numbers above, we need never have two 1's next to each other since they combine to give a 1
in the next column to the left using the basic Phi rule.
Here Phi = 1·6180339... = phi^{–1}
and phi = 0·6180339... = Phi – 1 = 1/Phi = Phi^{–1}
Phi power
phi power
A + B Phi
C + D phi
real value
Phi^{5}
phi^{-5}
3 + 5 Phi
8 + 5 phi
11·0901699..
Phi^{4}
phi^{-4}
2 + 3 Phi
5 + 3 phi
6·8541019..
Phi^{3}
phi^{-3}
1 + 2 Phi
3 + 2 phi
4·2360679..
Phi^{2}
phi^{-2}
1 + 1 Phi
2 + 1 phi
2·6180339..
Phi^{1}
phi^{-1}
0 + 1 Phi
1 + 1 phi
1·6180339..
Phi^{0}
phi^{0}
1 + 0 Phi
1 + 0 phi
1·0000000..
Phi^{-1}
phi^{1}
-1 + 1 Phi
0 + 1 phi
0·6180339..
Phi^{-2}
phi^{2}
2 - 1 Phi
1 - 1 phi
0·3819660..
Phi^{-3}
phi^{3}
-3 + 2 Phi
-1 + 2 phi
0·2360679..
Phi^{-4}
phi^{4}
5 - 3 Phi
2 - 3 phi
0·1458980..
Phi^{-5}
phi^{5}
-8 + 5 Phi
-3 + 5 phi
0·0901699..
For instance 2 is 10.01_{Phi} = Phi + Phi^{-2}.
Base phi
phi = 1/Phi = Phi-1 = 0.6180339... = (√5-1)/2 and the basic phi rule
is phi^{n} = phi^{n+1} + phi^{n+2}.
Because Phi^{−n} = phi^{n}
it is easy to see that to get a base phi representation from a base Phi representation
we merely reverse the order of the phigits
including the base point:
A Number System with Irrational Base, George
Bergman, Mathematics Magazine 1957, Vol 31, pages 98-110, where he
also gives pencil-and-paper
methods of doing arithmetic in Base Phi.
C. Rousseau The Phi Number System Revisited
in Mathematics Magazine 1995, Vol 68, pages 283-284.
Base Converter
In a number is written in a base (β) which is bigger than 10, we cannot tell
if 11_{β} means
11×1 = 11 or if it represents
1×β+1 = β + 1.
Often new "digits" are used which conventionally are letters so that the "digit" 10 is A,
11 is B, ..., 35 is F.
The digits in increasing order from 0 to 35 are therefore 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ. This is called
the "9A" format on this page.
But for bases beyond 36 we need even more new "digits"!
An alternative is to list the decimal values of every column, enclosed in {} brackets so that
13 = {1,3}_{10} = {1,1}_{12} and
11 = {1,1}_{10} ={11}_{12}.
This is called the "{}" format on this page.
About the Base Converter Calculator:
Numeric bases
Bases can be any integer, positive or negative except -1, 0 and 1
bases -10 up to 10 use the "normal" style of writing numbers (the 9A format)
bases from 11 to 36 can use either the 9A format or else the {} style
all bases above 36 or below -36 use the {} style
a negative base -β uses the same "digits" as base β where β is any positive integer
Non-numeric bases:
Bases recognized are F = Fmin, Fmax, Phi = Phimin, Phimax, ! and BinN where N is a whole number
This Calculator is for integers only so no decimal point is recognized except for base Phi, for example
{1, 0, 1, 0, . , 0, 0, 0, 1}_{Phi} = 6.
We can again extend our possible bases in a radix system to complex numbers and find a unique way to
represent integers and other values.
...... more coming soon .....
The Chinese Remainder Theorem Number Base
This is a system which has many computational advantages, particularly for computers than can run parts of
a computation in parallel
since each digit is independent of the others.
.... coming soon .....
Link and References
An Introduction to Computational Combinatorics
E S Page, L B Wilson (1979 Cambridge)
see chapter 5 on several ways of ordering permutations as well as the factorial representation method of
generating them in lexicographic order.
Some theorems on Completeness V E Hoggatt, B Chow Fib Quarterly, vol 10 (1972)
pages 551-554,
560.
How can we decide if a given sequence of numbers could be used as the column headings of a base to
represent every whole number? This paper gives two theorems.
Systems of Enumeration A Fraenkel, Amer. Math. Monthly vol 92 (1985), pages 105-114
JSTOR
A thorough proof of the existence and uniqueness of representations of positive integers in any system of "column headers"
described by a recurrence relation. This includes base β (powers of β) and mixed radix, factorial base, our Pascal's
triangle combinatorial system above as well as various systems based on the Fibonacci numbers.