- 1 Definition
- 2 Examples
- 3 Characterization in terms of exponential polynomials
- 4 Characterization in terms of rational generating functions
- 5 Closure properties
- 6 Sequences satisfying non-homogeneous recurrences
- 7 Generalizations
- 8 Notes
- 9 References
- 10 External links
An order-d homogeneous linear recurrence with constant coefficients is an equation of the form
where the d coefficients are constants.
A sequence is a constant-recursive sequence if there is an order-d homogeneous linear recurrence with constant coefficients that it satisfies for all .
Equivalently, is constant-recursive if the set of sequences
is contained in a vector space whose dimension is finite.
The sequence 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ... of Fibonacci numbers satisfies the recurrence
with initial conditions
Explicitly, the recurrence yields the values
More generally, every Lucas sequence is a constant-recursive sequence.
The geometric sequence is constant-recursive, since it satisfies the recurrence for all .
Eventually periodic sequencesEdit
A sequence that is eventually periodic with period length is constant-recursive, since it satisfies for all for some .
For any polynomial s(n), the sequence of its values is a constant-recursive sequence. If the degree of the polynomial is d, the sequence satisfies a recurrence of order , with coefficients given by the corresponding element of the binomial transform. The first few such equations are
- for a degree 0 (that is, constant) polynomial,
- for a degree 1 or less polynomial,
- for a degree 2 or less polynomial, and
- for a degree 3 or less polynomial.
A sequence obeying the order-d equation also obeys all higher order equations. These identities may be proved in a number of ways, including via the theory of finite differences. Each individual equation may also be verified by substituting the degree-d polynomial
where the coefficients are symbolic. Any sequence of integer, real, or complex values can be used as initial conditions for a constant-recursive sequence of order . If the initial conditions lie on a polynomial of degree or less, then the constant-recursive sequence also obeys a lower order equation.
Enumeration of words in a regular languageEdit
Let be a regular language, and let be the number of words of length in . Then is constant-recursive.
Characterization in terms of exponential polynomialsEdit
The characteristic polynomial (or "auxiliary polynomial") of the recurrence is the polynomial
whose coefficients are the same as those of the recurrence. The nth term of a constant-recursive sequence can be written in terms of the roots of its characteristic polynomial. If the d roots are all distinct, then the nth term of the sequence is
where the coefficients ki are constants that can be determined from the initial conditions.
For the Fibonacci sequence, the characteristic polynomial is , whose roots and appear in Binet's formula
More generally, if a root r of the characteristic polynomial has multiplicity m, then the term is multiplied by a degree- polynomial in n. That is, let be the distinct roots of the characteristic polynomial. Then
where is a polynomial of degree . For instance, if the characteristic polynomial factors as , with the same root r occurring three times, then the nth term is of the form
Conversely, if there are polynomials such that
then is constant-recursive.
Characterization in terms of rational generating functionsEdit
A sequence is constant-recursive precisely when its generating function
is a rational function. The denominator is the polynomial obtained from the auxiliary polynomial by reversing the order of the coefficients, and the numerator is determined by the initial values of the sequence.
The generating function of the Fibonacci sequence is
In general, multiplying a generating function by the polynomial
yields a series
If satisfies the recurrence relation
then for all . In other words,
so we obtain the rational function
In the special case of a periodic sequence satisfying for , the generating function is
by expanding the geometric series.
The termwise addition or multiplication of two constant-recursive sequences is again constant-recursive. This follows from the characterization in terms of exponential polynomials.
The Cauchy product of two constant-recursive sequences is constant-recursive. This follows from the characterization in terms of rational generating functions.
Sequences satisfying non-homogeneous recurrencesEdit
A sequence satisfying a non-homogeneous linear recurrence with constant coefficients is constant-recursive.
This is because the recurrence
can be solved for to obtain
Substituting this into the equation
shows that satisfies the homogeneous recurrence
of order .
A natural generalization is obtained by relaxing the condition that the coefficients of the recurrence are constants. If the coefficients are allowed to be polynomials, then one obtains holonomic sequences.
A -regular sequence satisfies linear recurrences with constant coefficients, but the recurrences take a different form. Rather than being a linear combination of for some integers that are close to , each term in a -regular sequence is a linear combination of for some integers whose base- representations are close to that of . Constant-recursive sequences can be thought of as -regular sequences, where the base-1 representation of consists of copies of the digit .
- Boyadzhiev, Boyad (2012). "Close Encounters with the Stirling Numbers of the Second Kind" (PDF). Math. Mag. 85: 252–266.
- Greene, Daniel H.; Knuth, Donald E. (1982), "2.1.1 Constant coefficients – A) Homogeneous equations", Mathematics for the Analysis of Algorithms (2nd ed.), Birkhäuser, p. 17.
- Martino, Ivan; Martino, Luca (2013-11-14). "On the variety of linear recurrences and numerical semigroups". Semigroup Forum. 88 (3): 569–574. arXiv:1207.0111. doi:10.1007/s00233-013-9551-2. ISSN 0037-1912.
- Brousseau, Alfred (1971). Linear Recursion and Fibonacci Sequences. Fibonacci Association.
- Graham, Ronald L.; Knuth, Donald E.; Patashnik, Oren (1994). Concrete Mathematics: A Foundation for Computer Science (2 ed.). Addison-Welsey. ISBN 978-0-201-55802-9.