Brahmagupta's Interpolation Formula
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Brahmagupta's interpolation formula is a second-order polynomial
interpolation formula In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points. In engineering and science, one often has a ...
developed by the
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Brahmagupta Brahmagupta ( – ) was an Indian mathematician and astronomer. He is the author of two early works on mathematics and astronomy: the ''Brāhmasphuṭasiddhānta'' (BSS, "correctly established doctrine of Brahma", dated 628), a theoretical trea ...
(598–668 CE) in the early 7th century CE. The
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couplet describing the formula can be found in the supplementary part of ''Khandakadyaka'' a work of
Brahmagupta Brahmagupta ( – ) was an Indian mathematician and astronomer. He is the author of two early works on mathematics and astronomy: the ''Brāhmasphuṭasiddhānta'' (BSS, "correctly established doctrine of Brahma", dated 628), a theoretical trea ...
completed in 665 CE. The same couplet appears in Brahmagupta's earlier ''Dhyana-graha-adhikara'', which was probably written "near the beginning of the second quarter of the 7th century CE, if not earlier." Brahmagupta was the one of the first to describe and use an
interpolation formula In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points. In engineering and science, one often has a ...
using second-order differences. Brahmagupta's interpolation formula is equivalent to modern-day second-order Newton–Stirling
interpolation formula In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points. In engineering and science, one often has a ...
. Mathematicians prior to Brahmagupta used a simple
linear interpolation In mathematics, linear interpolation is a method of curve fitting using linear polynomials to construct new data points within the range of a discrete set of known data points. Linear interpolation between two known points If the two known poin ...
formula. The linear interpolation formula to compute is : f(a)=f_r+ t D_r where t=\frac. For the computation of , Brahmagupta replaces with another expression which gives more accurate values and which amounts to using a second-order interpolation formula.


Brahmagupta's description of the scheme

In Brahmagupta's terminology the difference is the ''gatakhanda'', meaning ''past difference'' or the difference that was crossed over, the difference is the ''bhogyakhanda'' which is the ''difference yet to come''. ''Vikala'' is the amount in minutes by which the interval has been covered at the point where we want to interpolate. In the present notations it is . The new expression which replaces is called ''sphuta-bhogyakhanda''. The description of ''sphuta-bhogyakhanda'' is contained in the following Sanskrit couplet (''Dhyana-Graha-Upadesa-Adhyaya, 17; Khandaka Khadyaka, IX, 8''): This has been translated using Bhattolpala's (10th century CE) commentary as follows: :Multiply the ''vikala'' by the half the difference of the ''gatakhanda'' and the ''bhogyakhanda'' and divide the product by 900. Add the result to half the sum of the ''gatakhanda'' and the ''bhogyakhanda'' if their half-sum is less than the ''bhogyakhanda'', subtract if greater. (The result in each case is ''sphuta-bhogyakhanda'' the correct tabular difference.) This formula was originally stated for the computation of the values of the sine function for which the common interval in the underlying base table was 900 minutes or 15 degrees. So the reference to 900 is in fact a reference to the common interval .


In modern notation

Brahmagupta's method computation of ''shutabhogyakhanda'' can be formulated in modern notation as follows: :''sphuta-bhogyakhanda'' \displaystyle = \frac \pm t\frac. The ± sign is to be taken according to whether is less than or greater than , or equivalently, according to whether or . Brahmagupta's expression can be put in the following form: :''sphuta-bhogyakhanda'' \displaystyle = \frac + t\frac. This correction factor yields the following approximate value for : : \begin f(a) & = f_r + t\times\text\\ & = f_r + t \frac + t^2\frac. \end This is Stirling's
interpolation formula In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points. In engineering and science, one often has a ...
truncated at the second-order differences. It is not known how Brahmagupta arrived at his interpolation formula. Brahmagupta has given a separate formula for the case where the values of the independent variable are not equally spaced.


See also

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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 + ...
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Brahmagupta matrix In mathematics, the following matrix was given by Indian mathematician Brahmagupta: :B(x,y) = \begin x & y \\ \pm ty & \pm x \end. It satisfies :B(x_1,y_1) B(x_2,y_2) = B(x_1 x_2 \pm ty_1 y_2,x_1 y_2 \pm y_1 x_2).\, Powers of the matrix are def ...
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Brahmagupta–Fibonacci identity In algebra, the Brahmagupta–Fibonacci identity expresses the product of two sums of two squares as a sum of two squares in two different ways. Hence the set of all sums of two squares is closed under multiplication. Specifically, the identity say ...


References

{{reflist Interpolation Indian mathematics History of mathematics