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Geometry in Indian mathematics

Pythagoras Theorem

  • The Pythagoras Theorem, which states that the sum of the squares of the two shorter sides of a right-angled triangle is equal to the square of the hypotenuse, was known in India as the Bhuja-koti-karna-nyaya.
  • This theorem is described in the Baudhayana-sulba-sutra, an ancient Indian mathematical text.

Shadow Problem

  • Indian mathematical works contain interesting problems of day-to-day importance solved using mathematical principles.
  • One such problem is the shadow problem, which involves finding the length of the shadow cast by a lamp post or a stick.
  • The solution to this problem involves using similar triangles and their properties.
  • This problem has an equivalence in astronomy, where the sun, earth, and moon are considered instead of the lamp post, stick, and shadow.

Value of π (pi)

  • The value of π is important in geometry and has been approximated by Indian mathematicians since ancient times.
  • Aryabhata gave an approximation of π as 3.1416 in the 5th century CE.
  • Madhavacharya, in the 14th century CE, discovered several infinite series for π, which were later rediscovered by European mathematicians.
  • Madhavacharya also gave a technique for finding better approximations for π using correction terms in the series.
  • He estimated the value of π accurate to 11 decimal places.

History of π Approximation in India

  • The table below summarizes the history of π approximation by Indian mathematicians:
Mathematician/TextDateApproximationAccuracyMethod
Sulba-sutras800 BCE3.088881 decimal placeGeometrical
Jaina texts500 BCE3.16231 decimal placeGeometrical
Aryabhata499 CE3.14164 decimal placesPolygon doubling
Bhaskaracharya1150 CE3927/12504 decimal placesPolygon doubling
Madhavacharya14th century CE3.1415926535922211 decimal placesInfinite series
Ramanujan1914 CE-17 million digitsModular equation

Conclusion

Indian mathematicians made significant contributions to geometry, including the Pythagoras Theorem, the shadow problem, and the approximation of π. Their work demonstrates a deep understanding of geometric principles and their application to real-world problems.