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Brahmagupta polynomials are a class of polynomials associated with the Brahmagupa matrix which in turn is associated with the
Brahmagupta's identity In algebra, Brahmagupta's identity says that, for given n, the product of two numbers of the form a^2+nb^2 is itself a number of that form. In other words, the set of such numbers is closed under multiplication. Specifically: :\begin \left(a^2 + ...
. The concept and terminology were introduced by E. R. Suryanarayan, University of Rhode Island, Kingston in a paper published in 1996. These polynomials have several interesting properties and have found applications in tiling problems and in the problem of finding Heronian triangles in which the lengths of the sides are consecutive integers.


Definition


Brahmagupta's identity

In algebra, Brahmagupta's identity says that, for given integer N, the product of two numbers of the form x^2 -Ny^2 is again a number of the form. More precisely, we have :(x_1^2 - Ny_1^2)(x_2^2 - Ny_2^2) = (x_1x_2 + Ny_1y_2)^2 - N(x_1y_2 + x_2y_1)^2. This identity can be used to generate infinitely many solutions to the Pell's equation. It can also be used to generate successively better rational approximations to square roots of arbitrary integers.


Brahmagupta matrix

If, for an arbitrary real number t, we define the matrix :B(x,y) = \begin x & y \\ ty & x \end then, Brahmagupta's identity can be expressed in the following form: :\det B(x_1,y_1) \det B(x_2,y_2) = \det ( B(x_1,y_1)B(x_2,y_2)) The matrix B(x,y) is called the Brahmagupta matrix.


Brahmagupta polynomials

Let B=B(x,y) be as above. Then, it can be seen by induction that the matrix B^n can be written in the form : B^n = \begin x_n & y_n \\ ty_n & x_n \end Here, x_n and y_n are polynomials in x, y, t. These polynomials are called the Brahmagupta polynomials. The first few of the polynomials are listed below: : \begin x_1 & = x & y_1 & = y \\ x_2 & = x^2+ty^2 & y_2 & = 2xy \\ x_3 & = x^3+3txy^2 & y_3 & = 3x^2y+ty^3 \\ x_4 & = x^4+6t^2x^2y^2+t^2y^4\qquad & y_4 & = 4x^3y +4txy^3 \end


Properties

A few elementary properties of the Brahmagupta polynomials are summarized here. More advanced properties are discussed in the paper by Suryanarayan.


Recurrence relations

The polynomials x_n and y_n satisfy the following recurrence relations: *x_ = xx_n+tyy_n *y_=xy_n+yx_n *x_ = 2xx_n - (x^2-ty^2)x_ *y_ = 2xy_n - (x^2-ty^2)y_ *x_=x_n^2+ty_n^2 *y_=2x_ny_n


Exact expressions

The
eigenvalue In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denoted b ...
s of B(x,y) are x\pm y\sqrt and the corresponding eigenvectors are , \pm \sqrtT. Hence :B , \pm \sqrtT = (x\pm y\sqrt) , \pm \sqrtT. It follows that :B^n , \pm \sqrtT = (x\pm y\sqrt)^n , \pm \sqrtT. This yields the following exact expressions for x_n and y_n: *x_n = \tfrac\big (x + y\sqrt)^n + (x - y\sqrt)^n\big/math> *y_n = \tfrac\big (x + y\sqrt)^n - (x - y\sqrt)^n\big/math> Expanding the powers in the above exact expressions using the binomial theorem and simplifying one gets the following expressions for x_n and y_n: *x_n = x^n +t x^y^2 + t^2 x^y^4+\cdots * y_n = nx^y +tx^y^3 + t^2x^y^5 +\cdots


Special cases

# If x=y=\tfrac and t=5 then, for n>0: :::2y_n=F_n is the Fibonacci sequence 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, \ldots. :::2x_n=L_n is the
Lucas sequence In mathematics, the Lucas sequences U_n(P,Q) and V_n(P, Q) are certain constant-recursive integer sequences that satisfy the recurrence relation : x_n = P \cdot x_ - Q \cdot x_ where P and Q are fixed integers. Any sequence satisfying this recu ...
2, 1, 3, 4, 7, 11, 18, 29, 47, 76, 123, \ldots. # If we set x=y=1 and t=2, then: :::x_n=1,1,3,7,17,41,99,239,577,\ldots which are the numerators of continued fraction convergents to \sqrt. This is also the sequence of half Pell-Lucas numbers. :::y_n= 0,1,2,5,12,29,70,169,408, \ldots which is the sequence of Pell numbers.


A differential equation

x_n and y_n are polynomial solutions of the following partial differential equation: :: \left( \frac - \frac\frac\right)U=0


References

{{reflist Polynomials Homogeneous polynomials Algebra Brahmagupta Matrices