# Thue–Morse sequence

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This graphic demonstrates the repeating and complementary makeup of the Thue–Morse sequence.

In mathematics, the Thue–Morse sequence, or Prouhet–Thue–Morse sequence, is the binary sequence (an infinite sequence of 0s and 1s) obtained by starting with 0 and successively appending the Boolean complement of the sequence obtained thus far. The first few steps of this procedure yield the strings 0 then 01, 0110, 01101001, 0110100110010110, and so on, which are prefixes of the Thue–Morse sequence. The full sequence begins:

01101001100101101001011001101001.... (sequence A010060 in the OEIS)

## Definition

There are several equivalent ways of defining the Thue–Morse sequence.

### Direct definition

To compute the nth element tn, write the number n in binary. If the number of ones in this binary expansion is odd then tn = 1, if even then tn = 0.[1] For this reason John H. Conway et al. call numbers n satisfying tn = 1 odious (for odd) numbers and numbers for which tn = 0 evil (for even) numbers. In other words, tn = 0 if n is an evil number and tn = 1 if n is an odious number.

### Fast sequence generation

This method leads to a fast method for computing the Thue–Morse sequence: start with t0 = 0, and then, for each n, find the highest-order bit in the binary representation of n that is different from the same bit in the representation of n − 1. (This bit can be isolated by letting x be the bitwise exclusive or of n and n − 1, shifting x right by one bit, and computing the exclusive or of this shifted value with x.) If this bit is at an even index, tn differs from tn − 1, and otherwise it is the same as tn − 1.

In pseudo-code form:

generateSequence(seqLength):
value = 0
for n = 0 to seqLength-1 by 1:
x = n ^ (n-1)
if ((x ^ (x>>1)) & 0x55555555):
value = 1 - value
print value


The resulting algorithm takes constant time to generate each sequence element, using only a logarithmic number of bits (constant number of words) of memory.[2]

### Recurrence relation

The Thue–Morse sequence is the sequence tn satisfying the recurrence relation

{\displaystyle {\begin{aligned}t_{0}&=0,\\t_{2n}&=t_{n},\\t_{2n+1}&=1-t_{n},\end{aligned}}}

for all non-negative integers n.[1]

### L-system

The Thue–Morse sequence is a morphic word:[3] it is the output of the following Lindenmayer system:

Variables 0, 1 None 0 (0 → 01), (1 → 10)

### Characterization using bitwise negation

The Thue–Morse sequence in the form given above, as a sequence of bits, can be defined recursively using the operation of bitwise negation. So, the first element is 0. Then once the first 2n elements have been specified, forming a string s, then the next 2n elements must form the bitwise negation of s. Now we have defined the first 2n+1 elements, and we recurse.

Spelling out the first few steps in detail:

• The bitwise negation of 0 is 1.
• Combining these, the first 2 elements are 01.
• The bitwise negation of 01 is 10.
• Combining these, the first 4 elements are 0110.
• The bitwise negation of 0110 is 1001.
• Combining these, the first 8 elements are 01101001.
• And so on.

So

• T0 = 0.
• T1 = 01.
• T2 = 0110.
• T3 = 01101001.
• T4 = 0110100110010110.
• T5 = 01101001100101101001011001101001.
• T6 = 0110100110010110100101100110100110010110011010010110100110010110.
• And so on.

### Infinite product

The sequence can also be defined by:

${\displaystyle \prod _{i=0}^{\infty }\left(1-x^{2^{i}}\right)=\sum _{j=0}^{\infty }(-1)^{t_{j}}x^{j},}$

where tj is the jth element if we start at j = 0.

## Some properties

Because each new block in the Thue–Morse sequence is defined by forming the bitwise negation of the beginning, and this is repeated at the beginning of the next block, the Thue–Morse sequence is filled with squares: consecutive strings that are repeated. That is, there are many instances of XX, where X is some string. Indeed, ${\displaystyle X}$ is such a string if and only if ${\displaystyle X=A,\,{\overline {A}},\,A{\overline {A}}A,}$ or ${\displaystyle {\overline {A}}A{\overline {A}}}$ where ${\displaystyle A=T_{k}}$ for some ${\displaystyle k\geq 0}$ and ${\displaystyle {\overline {A}}}$ denotes the bitwise negation of ${\displaystyle A}$ (interchange 0s and 1s).[4] For instance, with ${\displaystyle k=0}$, we have ${\displaystyle \ A=T_{0}=0}$, and the square ${\displaystyle A{\overline {A}}AA{\overline {A}}A=010010}$ appears in ${\displaystyle T}$ starting at the 16th bit. (Thus, squares in ${\displaystyle T}$ have length either a power of 2 or 3 times a power of 2.) However, there are no cubes: instances of XXX. There are also no overlapping squares: instances of 0X0X0 or 1X1X1.[5][6] The critical exponent is 2.[7]

Notice that T2n is palindrome for any n > 1. Further, let qn be a word obtain from T2n by counting ones between consecutive zeros. For instance, q1 = 2 and q2 = 2102012 and so on. The words Tn do not contain overlapping squares in consequence, the words qn are palindrome squarefree words.

The statement above that the Thue–Morse sequence is "filled with squares" can be made precise: It is a uniformly recurrent word, meaning that given any finite string X in the sequence, there is some length nX (often much longer than the length of X) such that X appears in every block of length nX.[8][9] The easiest way to make a recurrent sequence is to form a periodic sequence, one where the sequence repeats entirely after a given number m of steps. Then nX can be set to any multiple of m that is larger than twice the length of X. But the Morse sequence is uniformly recurrent without being periodic, not even eventually periodic (meaning periodic after some nonperiodic initial segment).[10]

We define the Thue–Morse morphism to be the function f from the set of binary sequences to itself by replacing every 0 in a sequence with 01 and every 1 with 10.[11] Then if T is the Thue–Morse sequence, then f(T) is T again; that is, T is a fixed point of f. The function f is a prolongable morphism on the free monoid {0,1} with T as fixed point: indeed, T is essentially the only fixed point of f; the only other fixed point is the bitwise negation of T, which is simply the Thue–Morse sequence on (1,0) instead of on (0,1). This property may be generalized to the concept of an automatic sequence.

The generating series of T over the binary field is the formal power series

${\displaystyle t(Z)=\sum _{n=0}^{\infty }T(n)Z^{n}\ .}$

This power series is algebraic over the field of formal power series, satisfying the equation[12]

${\displaystyle Z+(1+Z)^{2}t+(1+Z)^{3}t^{2}=0}$

### In combinatorial game theory

The set of evil numbers (numbers ${\displaystyle n}$ with ${\displaystyle t_{n}=0}$) forms a subspace of the nonnegative integers under nim-addition (bitwise exclusive or). For the game of Kayles, evil nim-values occur for few (finitely many) positions in the game, with all remaining positions having odious nim-values.

### The Prouhet–Tarry–Escott problem

The Prouhet–Tarry–Escott problem can be defined as: given a positive integer N and a non-negative integer k, partition the set S = { 0, 1, ..., N-1 } into two disjoint subsets S0 and S1 that have equal sums of powers up to k, that is:

${\displaystyle \sum _{x\in S_{0}}x^{i}=\sum _{x\in S_{1}}x^{i}}$ for all integers i from 1 to k.

This has a solution if N is a multiple of 2k+1, given by:

• S0 consists of the integers n in S for which tn = 0,
• S1 consists of the integers n in S for which tn = 1.

For example, for N = 8 and k = 2,

0 + 3 + 5 + 6 = 1 + 2 + 4 + 7,
02 + 32 + 52 + 62 = 12 + 22 + 42 + 72.

The condition requiring that N be a multiple of 2k+1 is not strictly necessary: there are some further cases for which a solution exists. However, it guarantees a stronger property: if the condition is satisfied, then the set of kth powers of any set of N numbers in arithmetic progression can be partitioned into two sets with equal sums. This follows directly from the expansion given by the binomial theorem applied to the binomial representing the nth element of an arithmetic progression.

For generalizations of the Thue–Morse sequence and the Prouhet–Tarry–Escott problem to partitions into more than two parts, see Bolker, Offner, Richman and Zara, "The Prouhet–Tarry–Escott problem and generalized Thue–Morse sequences".[13]

### Fractals and turtle graphics

Using turtle graphics, a curve can be generated if an automaton is programmed with a sequence. When Thue–Morse sequence members are used in order to select program states:

• If t(n) = 0, move ahead by one unit,
• If t(n) = 1, rotate by an angle of π/3 radians (60°)

The resulting curve converges to the Koch curve, a fractal curve of infinite length containing a finite area. This illustrates the fractal nature of the Thue–Morse Sequence.[14]

It is also possible to draw the curve precisely using the following instructions:[15]

• If t(n) = 0, rotate by an angle of π radians (180°),
• If t(n) = 1, move ahead by one unit, then rotate by an angle of π/3 radians.

### Equitable sequencing

In their book on the problem of fair division, Steven Brams and Alan Taylor invoked the Thue–Morse sequence but did not identify it as such. When allocating a contested pile of items between two parties who agree on the items' relative values, Brams and Taylor suggested a method they called balanced alternation, or taking turns taking turns taking turns . . . , as a way to circumvent the favoritism inherent when one party chooses before the other. An example showed how a divorcing couple might reach a fair settlement in the distribution of jointly-owned items. The parties would take turns to be the first chooser at different points in the selection process: Ann chooses one item, then Ben does, then Ben chooses one item, then Ann does.[16]

Lionel Levine and Katherine Stange, in their discussion of how to fairly apportion a shared meal such as an Ethiopian dinner, proposed the Thue–Morse sequence as a way to reduce the advantage of moving first. They suggested that “it would be interesting to quantify the intuition that the Thue-Morse order tends to produce a fair outcome.”[17]

Robert Richman addressed this problem, but he too did not identify the Thue–Morse sequence as such at the time of publication.[18] He presented the sequences Tn as step functions on the interval [0,1] and described their relationship to the Walsh and Rademacher functions. He showed that the nth derivative can be expressed in terms of Tn. As a consequence, the step function arising from Tn is orthogonal to polynomials of order n − 1. A consequence of this result is that a resource whose value is expressed as a monotonically decreasing continuous function is most fairly allocated using a sequence that converges to Thue-Morse as the function becomes flatter. An example showed how to pour cups of coffee of equal strength from a carafe with a nonlinear concentration gradient, prompting a whimsical article in the popular press.[19]

Joshua Cooper and Aaron Dutle showed why the Thue-Morse order provides a fair outcome for discrete events.[20] They considered the fairest way to stage a Galois duel, in which each of the shooters has equally poor shooting skills. Cooper and Dutle postulated that each dueler would demand a chance to fire as soon as the other’s a priori probability of winning exceeded their own. They proved that, as the duelers’ hitting probability approaches zero, the firing sequence converges to the Thue–Morse sequence. In so doing, they demonstrated that the Thue-Morse order produces a fair outcome not only for sequences Tn of length 2n, but for sequences of any length.

Thus the mathematics supports using the Thue–Morse sequence instead of alternating turns when the goal is fairness but earlier turns differ monotonically from later turns in some meaningful quality, whether that quality varies continuously[18] or discretely.[20]

Sports competitions form an important class of equitable sequencing problems, because strict alternation often gives an unfair advantage to one team. Ignacio Palacios-Huerta proposed changing the sequential order to Thue-Morse to improve the ex post fairness of various tournament competitions, such as the kicking sequence of a penalty shoot-out in soccer, the rotation of color of pieces in a chess match, and the serving order in a tennis tie-break.[21] In competitive rowing, T2 is the only arrangement of port- and starboard-rowing crew members that eliminates transverse forces (and hence sideways wiggle) on a four-membered coxless racing boat, while T3 is one of only four rigs to avoid wiggle on an eight-membered boat.[22]

Fairness is especially important in player drafts. Many professional sports leagues attempt to achieve competitive parity by giving earlier selections in each round to weaker teams. By contrast, fantasy football leagues have no pre-existing imbalance to correct, so they often use a “snake” draft (forward, backward, etc.; or T1).[23] Ian Allan argued that a “third-round reversal” (forward, backward, backward, forward, etc.; or T2) would be even more fair. [24] Richman suggested that the fairest way for “captain A” and “captain B” to choose sides for a pick-up game of basketball mirrors T3: captain A has the first, fourth, sixth, and seventh choices, while captain B has the second, third, fifth, and eighth choices.[18]

## History

The Thue–Morse sequence was first studied by Eugène Prouhet in 1851, who applied it to number theory. However, Prouhet did not mention the sequence explicitly; this was left to Axel Thue in 1906, who used it to found the study of combinatorics on words. The sequence was only brought to worldwide attention with the work of Marston Morse in 1921, when he applied it to differential geometry. The sequence has been discovered independently many times, not always by professional research mathematicians; for example, Max Euwe, a chess grandmaster, who held the World Championship title from 1935 to 1937, and mathematics teacher, discovered it in 1929 in an application to chess: by using its cube-free property (see above), he showed how to circumvent a rule aimed at preventing infinitely protracted games by declaring repetition of moves a draw.

## Notes

1. ^ a b Allouche & Shallit (2003, p. 15)
2. ^
3. ^ Lothaire (2011, p. 11)
4. ^
5. ^ Lothaire (2011, p. 113)
6. ^ Pytheas Fogg (2002, p. 103)
7. ^
8. ^ Lothaire (2011, p. 30)
9. ^
10. ^ Lothaire (2011, p. 31)
11. ^ Berstel et al. (2009, p. 70)
12. ^ Berstel et al. (2009, p. 80)
13. ^ Bolker, Ethan; Offner, Carl; Richman, Robert; Zara, Catalin (2016). "The Prouhet–Tarry–Escott problem and generalized Thue–Morse sequences". Journal of Combinatorics. 7 (1): 117–133.
14. ^
15. ^ Abel, Zachary (January 23, 2012). "Thue-Morse Navigating Turtles". Three-Cornered Things.
16. ^
17. ^
18. ^ a b c Richman (2001)
19. ^
20. ^ a b Cooper & Dutle (2013)
21. ^
22. ^
23. ^ http://www.nfl.com/fantasyfootball/help/drafttypes “Fantasy Draft Types”
24. ^ Ian Allan, https://www.fantasyindex.com/2014/07/16/fantasy-news/third-round-reversal-drafts "Third-Round Reversal Drafts", July 16, 2014