### Journals Information

Mathematics and Statistics Vol. 9(1), pp. 54 - 58
DOI: 10.13189/ms.2021.090109
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## Generalized Relation between the Roots of Polynomial and Term of Recurrence Relation Sequence

Vipin Verma *, Mannu Arya
Department of Mathematics, School of Chemical Engineering and Physical Sciences Lovely Professional University, Phagwara 144411, Punjab, India

ABSTRACT

Many researchers have been working on recurrence relation which is an important topic not only in mathematics but also in physics, economics and various applications in computer science. There are many useful results on recurrence relation sequence but there main problem to find any term of recurrence relation sequence we need to find all previous terms of recurrence relation sequence. There were many important theorems obtained on recurrence relations. In this paper we have given special identity for generalized kth order recurrence relation. These identities are very useful for finding any term of any order of recurrence relation sequence. Authors define a special formula in this paper by this we can find direct any term of a recurrence relation sequence. In this recurrence relation sequence to find any terms we need to find all previous terms so this result is very important. There is important property of a relation between coefficients of recurrence relation terms and roots of a polynomial for second order relation but in this paper, we gave this same property of recurrence relation of all higher order recurrence relation. So finally, we can say that this theorem is valid all order of recurrence relation only condition that roots are distinct. So, we can say that this paper is generalization of property of a relation between coefficients of recurrence relation terms and roots of a polynomial. Theorem: - Let C1 and C2 are arbitrary real numbers and suppose the equation (1) Has X1 and X2 are distinct roots. Then the sequence is a solution of the recurrence relation (2) . For n= 0, 1, 2 …where β1 and β2 are arbitrary constants. Proof: - First suppose that of type we shall prove is a solution of recurrence relation (2). Since X1, X2 and X3 are roots of equation (1) so all are satisfied equation (1) so we have, . Consider . This implies . So the sequence is a solution of the recurrence relation. Now we will prove the second part of theorem. Let is a sequence with three . Let . So (3). (4). Multiply by X1 to (3) and subtracts from (4). We have similarly we can find . So we can say that values of β1 and β2 are defined as roots are distinct. So non- trivial values ofβ1 and β2 can find and we can say that result is valid. Example: Let be any sequence such that n≥3 and a0=0, a1=1, a2=2. Then find a10 for above sequence. Solution: The polynomial of above sequence is . Solving this equation we have roots are 1, 2, and 3 using above theorem we have (7). Using a0=0, a1=1, a2=2 in (7) we have β123=0 (8). β1+2β2+3β2=1 (9).β1+4β2+9β3=2 (10) Solving (8), (9) and (10) we have , , . This implies . Now put n=10 we have a10=-27478. Recurrence relation is a very useful topic of mathematics, many problems of real life may be solved by recurrence relations, but in recurrence relation there is a major difficulty in the recurrence relation. If we want to find 100th term of sequence, then we need to find all previous 99 terms of given sequence, then we can get 100th term of sequence but above theorem is very useful if coefficients of recurrence relation of given sequence satisfies the condition of the above theorem, then we can apply above theorem and we can find direct any term of sequence without finding all previous terms.

KEYWORDS
Generalized, Recurrence Relation, Sequence

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Vipin Verma , Mannu Arya , "Generalized Relation between the Roots of Polynomial and Term of Recurrence Relation Sequence," Mathematics and Statistics, Vol. 9, No. 1, pp. 54 - 58, 2021. DOI: 10.13189/ms.2021.090109.

(b). APA Format:
Vipin Verma , Mannu Arya (2021). Generalized Relation between the Roots of Polynomial and Term of Recurrence Relation Sequence. Mathematics and Statistics, 9(1), 54 - 58. DOI: 10.13189/ms.2021.090109.