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Reciprocal polynomial - Wikipedia

From Wikipedia, the free encyclopedia

Polynomial with reversed root positions

In algebra, given a polynomial

p ( x ) = a 0 + a 1 x + a 2 x 2 + ⋯ + a n x n , {\displaystyle p(x)=a_{0}+a_{1}x+a_{2}x^{2}+\cdots +a_{n}x^{n},}

with coefficients from an arbitrary field, its reciprocal polynomial or reflected polynomial,[1][2] denoted by p or pR,[2][1] is the polynomial[3]

p ∗ ( x ) = a n + a n − 1 x + ⋯ + a 0 x n = x n p ( x − 1 ) . {\displaystyle p^{*}(x)=a_{n}+a_{n-1}x+\cdots +a_{0}x^{n}=x^{n}p(x^{-1}).}

That is, the coefficients of p are the coefficients of p in reverse order. Reciprocal polynomials arise naturally in linear algebra as the characteristic polynomial of the inverse of a matrix.

In the special case where the field is the complex numbers, when

p ( z ) = a 0 + a 1 z + a 2 z 2 + ⋯ + a n z n , {\displaystyle p(z)=a_{0}+a_{1}z+a_{2}z^{2}+\cdots +a_{n}z^{n},}

the conjugate reciprocal polynomial, denoted p, is defined by,

p † ( z ) = a n ¯ + a n − 1 ¯ z + ⋯ + a 0 ¯ z n = z n p ( z ¯ − 1 ) ¯ , {\displaystyle p^{\dagger }(z)={\overline {a_{n}}}+{\overline {a_{n-1}}}z+\cdots +{\overline {a_{0}}}z^{n}=z^{n}{\overline {p({\bar {z}}^{-1})}},}

where a i ¯ {\displaystyle {\overline {a_{i}}}} denotes the complex conjugate of a i {\displaystyle a_{i}} , and is also called the reciprocal polynomial when no confusion can arise.

A polynomial p is called self-reciprocal or palindromic if p(x) = p(x). The coefficients of a self-reciprocal polynomial satisfy ai = ani for all i.

Reciprocal polynomials have several connections with their original polynomials, including:

  1. deg p = deg p if a 0 {\displaystyle a_{0}} is not 0.
  2. p(x) = xnp(x−1).[2]
  3. For α is a root of a polynomial p if and only if α−1 is a root of p or if α = 0 {\displaystyle \alpha =0} and p ∗ {\displaystyle p^{*}} is of lower degree than p {\displaystyle p} .[4]
  4. If xp(x) then p is irreducible if and only if p is irreducible.[5]
  5. p is primitive if and only if p is primitive.[4]

Other properties of reciprocal polynomials may be obtained, for instance:

Palindromic and antipalindromic polynomials[edit]

A self-reciprocal polynomial is also called palindromic because its coefficients, when the polynomial is written in the order of ascending or descending powers, form a palindrome. That is, if

P ( x ) = ∑ i = 0 n a i x i {\displaystyle P(x)=\sum _{i=0}^{n}a_{i}x^{i}}

is a polynomial of degree n, then P is palindromic if ai = ani for i = 0, 1, ..., n.

Similarly, a polynomial P of degree n is called antipalindromic if ai = −ani for i = 0, 1, ..., n. That is, a polynomial P is antipalindromic if P(x) = –P(x).

From the properties of the binomial coefficients, it follows that the polynomials P(x) = (x + 1)n are palindromic for all positive integers n, while the polynomials Q(x) = (x – 1)n are palindromic when n is even and antipalindromic when n is odd.

Other examples of palindromic polynomials include cyclotomic polynomials and Eulerian polynomials.

A polynomial with real coefficients all of whose complex roots lie on the unit circle in the complex plane (that is, all the roots have modulus 1) is either palindromic or antipalindromic.[10]

Conjugate reciprocal polynomials[edit]

A polynomial is conjugate reciprocal if p ( x ) ≡ p † ( x ) {\displaystyle p(x)\equiv p^{\dagger }(x)} and self-inversive if p ( x ) = ω p † ( x ) {\displaystyle p(x)=\omega p^{\dagger }(x)} for a scale factor ω on the unit circle.[11]

If p(z) is the minimal polynomial of z0 with |z0| = 1, z0 ≠ 1, and p(z) has real coefficients, then p(z) is self-reciprocal. This follows because

z 0 n p ( 1 / z 0 ¯ ) ¯ = z 0 n p ( z 0 ) ¯ = z 0 n 0 ¯ = 0. {\displaystyle z_{0}^{n}{\overline {p(1/{\bar {z_{0}}})}}=z_{0}^{n}{\overline {p(z_{0})}}=z_{0}^{n}{\bar {0}}=0.}

So z0 is a root of the polynomial z n p ( z ¯ − 1 ) ¯ {\displaystyle z^{n}{\overline {p({\bar {z}}^{-1})}}} which has degree n. But, the minimal polynomial is unique, hence

c p ( z ) = z n p ( z ¯ − 1 ) ¯ {\displaystyle cp(z)=z^{n}{\overline {p({\bar {z}}^{-1})}}}

for some constant c, i.e. c a i = a n − i ¯ = a n − i {\displaystyle ca_{i}={\overline {a_{n-i}}}=a_{n-i}} . Sum from i = 0 to n and note that 1 is not a root of p. We conclude that c = 1.

A consequence is that the cyclotomic polynomials Φn are self-reciprocal for n > 1. This is used in the special number field sieve to allow numbers of the form x11 ± 1, x13 ± 1, x15 ± 1 and x21 ± 1 to be factored taking advantage of the algebraic factors by using polynomials of degree 5, 6, 4 and 6 respectively – note that φ (Euler's totient function) of the exponents are 10, 12, 8 and 12.[citation needed]

Per Cohn's theorem, a self-inversive polynomial has as many roots in the unit disk { z ∈ C : | z | < 1 } {\displaystyle \{z\in \mathbb {C} :|z|<1\}} as the reciprocal polynomial of its derivative.[12][13]

Application in coding theory[edit]

The reciprocal polynomial finds a use in the theory of cyclic error correcting codes. Suppose xn − 1 can be factored into the product of two polynomials, say xn − 1 = g(x)p(x). When g(x) generates a cyclic code C, then the reciprocal polynomial p generates C, the orthogonal complement of C.[14] Also, C is self-orthogonal (that is, CC), if and only if p divides g(x).[15]

  1. ^ a b *Graham, Ronald; Knuth, Donald E.; Patashnik, Oren (1994). Concrete mathematics : a foundation for computer science (Second ed.). Reading, Mass: Addison-Wesley. p. 340. ISBN 978-0201558029.
  2. ^ a b c Aigner, Martin (2007). A course in enumeration. Berlin New York: Springer. p. 94. ISBN 978-3540390329.
  3. ^ Roman 1995, pg.37
  4. ^ a b Pless 1990, pg. 57
  5. ^ Roman 1995, pg. 37
  6. ^ Pless 1990, pg. 57 for the palindromic case only
  7. ^ Stein, Jonathan Y. (2000), Digital Signal Processing: A Computer Science Perspective, Wiley Interscience, p. 384, ISBN 9780471295464
  8. ^ Durand 1961
  9. ^ Katz, Nicholas M. (2012), Convolution and Equidistribution : Sato-Tate Theorems for Finite Field Mellin Transformations, Princeton University Press, p. 146, ISBN 9780691153315
  10. ^ Markovsky, Ivan; Rao, Shodhan (2008). "Palindromic polynomials, time-reversible systems, and conserved quantities". 2008 16th Mediterranean Conference on Control and Automation (PDF). IEEE. pp. 125–130. doi:10.1109/MED.2008.4602018. ISBN 978-1-4244-2504-4. S2CID 14122451.
  11. ^ Sinclair, Christopher D.; Vaaler, Jeffrey D. (2008). "Self-inversive polynomials with all zeros on the unit circle". In McKee, James; Smyth, C. J. (eds.). Number theory and polynomials. Proceedings of the workshop, Bristol, UK, April 3–7, 2006. London Mathematical Society Lecture Note Series. Vol. 352. Cambridge: Cambridge University Press. pp. 312–321. ISBN 978-0-521-71467-9. Zbl 1334.11017.
  12. ^ Ancochea, Germán (1953). "Zeros of self-inversive polynomials". Proceedings of the American Mathematical Society. 4 (6): 900–902. doi:10.1090/S0002-9939-1953-0058748-8. ISSN 0002-9939.
  13. ^ Bonsall, F. F.; Marden, Morris (1952). "Zeros of self-inversive polynomials". Proceedings of the American Mathematical Society. 3 (3): 471–475. doi:10.1090/S0002-9939-1952-0047828-8. ISSN 0002-9939.
  14. ^ Pless 1990, pg. 75, Theorem 48
  15. ^ Pless 1990, pg. 77, Theorem 51

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