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  2. Inverse-square law - Wikipedia

    en.wikipedia.org/wiki/Inverse-square_law

    For quick approximations, it is enough to remember that doubling the distance reduces illumination to one quarter; [9] or similarly, to halve the illumination increase the distance by a factor of 1.4 (the square root of 2), and to double illumination, reduce the distance to 0.7 (square root of 1/2). When the illuminant is not a point source ...

  3. Irrational number - Wikipedia

    en.wikipedia.org/wiki/Irrational_number

    For example: the roots of numbers such as 10, 15, 20 which are not squares, the sides of numbers which are not cubes etc." In contrast to Euclid's concept of magnitudes as lines, Al-Mahani considered integers and fractions as rational magnitudes, and square roots and cube roots as irrational magnitudes.

  4. Golden ratio - Wikipedia

    en.wikipedia.org/wiki/Golden_ratio

    If = (+) is rational, then = is also rational, which is a contradiction if it is already known that the square roots of all non-square natural numbers are irrational. Minimal polynomial The golden ratio φ and its negative reciprocal − φ −1 are the two roots of the quadratic polynomial x 2 − x − 1 .

  5. Square - Wikipedia

    en.wikipedia.org/wiki/Square

    The diagonals of a square are (about 1.414) times the length of a side of the square. This value, known as the square root of 2 or Pythagoras' constant, [1] was the first number proven to be irrational. A square can also be defined as a parallelogram with equal diagonals that bisect the angles.

  6. Square root of 7 - Wikipedia

    en.wikipedia.org/wiki/Square_root_of_7

    The rectangle that bounds an equilateral triangle of side 2, or a regular hexagon of side 1, has size square root of 3 by square root of 4, with a diagonal of square root of 7. A Logarex system Darmstadt slide rule with 7 and 6 on A and B scales, and square roots of 6 and of 7 on C and D scales, which can be read as slightly less than 2.45 and ...

  7. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    An illustration of Newton's method. In numerical analysis, Newton's method, also known as the Newton–Raphson method, named after Isaac Newton and Joseph Raphson, is a root-finding algorithm which produces successively better approximations to the roots (or zeroes) of a real-valued function.

  8. Functional square root - Wikipedia

    en.wikipedia.org/wiki/Functional_square_root

    The functional square root of the exponential function (now known as a half-exponential function) was studied by Hellmuth Kneser in 1950. [1]The solutions of f(f(x)) = x over (the involutions of the real numbers) were first studied by Charles Babbage in 1815, and this equation is called Babbage's functional equation. [2]

  9. Fermat's theorem on sums of two squares - Wikipedia

    en.wikipedia.org/wiki/Fermat's_theorem_on_sums_of...

    Fermat's theorem on sums of two squares is strongly related with the theory of Gaussian primes.. A Gaussian integer is a complex number + such that a and b are integers. The norm (+) = + of a Gaussian integer is an integer equal to the square of the absolute value of the Gaussian integer.

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