In mathematics, the Shapiro polynomials are a
sequence of polynomials which were first studied by
Harold S. Shapiro in 1951 when considering the magnitude of specific
trigonometric sum
A Fourier series () is a summation of harmonically related sinusoidal functions, also known as components or harmonics. The result of the summation is a periodic function whose functional form is determined by the choices of cycle length (or ''p ...
s. In
signal processing
Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing ''signals'', such as audio signal processing, sound, image processing, images, and scientific measurements. Signal processing techniq ...
, the Shapiro polynomials have good
autocorrelation
Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function of delay. Informally, it is the similarity between observations of a random variable ...
properties and their values on the
unit circle
In mathematics, a unit circle is a circle of unit radius—that is, a radius of 1. Frequently, especially in trigonometry, the unit circle is the circle of radius 1 centered at the origin (0, 0) in the Cartesian coordinate system in the Eucl ...
are small. The first few members of the sequence are:
:
where the second sequence, indicated by ''Q'', is said to be ''complementary'' to the first sequence, indicated by ''P''.
Construction
The Shapiro polynomials ''P''
''n''(''z'') may be constructed from the
Golay–Rudin–Shapiro sequence ''a''
''n'', which equals 1 if the number of pairs of consecutive ones in the binary expansion of ''n'' is even, and −1 otherwise. Thus ''a''
0 = 1, ''a''
1 = 1, ''a''
2 = 1, ''a''
3 = −1, etc.
The first Shapiro ''P''
''n''(''z'') is the partial sum of order 2
''n'' − 1 (where ''n'' = 0, 1, 2, ...) of the power series
:''f''(''z'') := ''a''
0 + ''a''
1 ''z'' + a
2 ''z''
2 + ...
The Golay–Rudin–Shapiro sequence has a fractal-like structure – for example, ''a''
''n'' = ''a''
2''n'' – which implies that the subsequence (''a''
0, ''a''
2, ''a''
4, ...) replicates the original sequence . This in turn leads to remarkable
functional equations satisfied by ''f''(''z'').
The second or complementary Shapiro polynomials ''Q''
''n''(''z'') may be defined in terms of this sequence, or by the relation ''Q''
''n''(''z'') = (1-)
''n''''z''
2''n''-1''P''
''n''(-1/''z''), or by the recursions
:
:
:
Properties
The sequence of complementary polynomials ''Q''
''n'' corresponding to the ''P''
''n'' is uniquely characterized by the following properties:
* (i) ''Q''
''n'' is of degree 2
''n'' − 1;
* (ii) the coefficients of ''Q''
''n'' are all 1 or −1, and its constant term equals 1; and
* (iii) the identity , ''P''
''n''(''z''),
2 + , ''Q''
''n''(''z''),
2 = 2
(''n'' + 1) holds on the unit circle, where the complex variable ''z'' has absolute value one.
The most interesting property of the is that the absolute value of ''P''
''n''(''z'') is bounded on the unit circle by the
square root of 2
The square root of 2 (approximately 1.4142) is a positive real number that, when multiplied by itself, equals the number 2. It may be written in mathematics as \sqrt or 2^, and is an algebraic number. Technically, it should be called the princip ...
(''n'' + 1), which is on the order
of the
L2 norm of ''P''
''n''. Polynomials with coefficients from the set whose maximum modulus on the unit circle is close to their mean modulus are useful for various applications in communication theory (e.g., antenna design and
data compression
In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression ...
). Property (iii) shows that (''P'', ''Q'') form a
Golay pair.
These polynomials have further properties:
:
:
:
:
:
See also
*
Littlewood polynomial
In mathematics, a Littlewood polynomial is a polynomial all of whose coefficients are +1 or −1.
Littlewood's problem asks how large the values of such a polynomial must be on the unit circle in the complex plane. The answer to this would yi ...
s
Notes
References
* Chapter 4.
* {{cite book , zbl=0724.11010 , last=Mendès France , first=Michel , chapter=The Rudin-Shapiro sequence, Ising chain, and paperfolding , pages=367–390 , editor1-last=Berndt , editor1-first=Bruce C. , editor1-link=Bruce C. Berndt , editor2-last=Diamond , editor2-first=Harold G. , editor3-last=Halberstam , editor3-first=Heini , editor3-link=Heini Halberstam , display-editors = 3 , editor4-last=Hildebrand , editor4-first=Adolf , title=Analytic number theory. Proceedings of a conference in honor of Paul T. Bateman, held on April 25-27, 1989, at the University of Illinois, Urbana, IL (USA) , series=Progress in Mathematics , volume=85 , location=Boston , publisher=Birkhäuser , year=1990 , isbn=978-0-8176-3481-0
Fourier analysis
Digital signal processing
Polynomials