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  2. Wronskian - Wikipedia

    en.wikipedia.org/wiki/Wronskian

    Generalized Wrońskians. For n functions of several variables, a generalized Wronskian is a determinant of an n by n matrix with entries Di(fj) (with 0 ≤ i < n), where each Di is some constant coefficient linear partial differential operator of order i. If the functions are linearly dependent then all generalized Wronskians vanish.

  3. Abel's identity - Wikipedia

    en.wikipedia.org/wiki/Abel's_identity

    In mathematics, Abel's identity (also called Abel's formula[1] or Abel's differential equation identity) is an equation that expresses the Wronskian of two solutions of a homogeneous second-order linear ordinary differential equation in terms of a coefficient of the original differential equation. The relation can be generalised to n th-order ...

  4. Józef Maria Hoene-Wroński - Wikipedia

    en.wikipedia.org/wiki/Józef_Maria_Hoene-Wroński

    Continuous track. Józef Maria Hoene-Wroński (Polish: [ˈjuzɛf ˈxɛnɛ ˈvrɔj̃skʲi]; French: Josef Hoëné-Wronski [ʒozɛf ɔɛne vʁɔ̃ski]; 23 August 1776 – 9 August 1853) was a Polish messianist philosopher, mathematician, physicist, inventor, lawyer, occultist [1] and economist. He was born as Hoëné to a municipal architect in ...

  5. Airy function - Wikipedia

    en.wikipedia.org/wiki/Airy_function

    In the physical sciences, the Airy function (or Airy function of the first kind) Ai (x) is a special function named after the British astronomer George Biddell Airy (1801–1892). The function Ai (x) and the related function Bi (x), are linearly independent solutions to the differential equation known as the Airy equation or the Stokes equation.

  6. Variation of parameters - Wikipedia

    en.wikipedia.org/wiki/Variation_of_parameters

    In mathematics, variation of parameters, also known as variation of constants, is a general method to solve inhomogeneous linear ordinary differential equations.. For first-order inhomogeneous linear differential equations it is usually possible to find solutions via integrating factors or undetermined coefficients with considerably less effort, although those methods leverage heuristics that ...

  7. Talk:Wronskian - Wikipedia

    en.wikipedia.org/wiki/Talk:Wronskian

    Does the Wronskian need to vanish at every point? f1 (x) = x, f2 (x) = x^2, are linearly independent. W (f1, f2) is 0 at x=0, but it doesn't matter, because we only need one point where W is non-zero. x=1, W=1 is non-zero, so the functions are linearly independent. The converse is not necessarily true: W=0 everywhere does not imply that the ...

  8. Chebyshev polynomials - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_polynomials

    The Chebyshev polynomials form a complete orthogonal system. The Chebyshev series converges to f(x) if the function is piecewise smooth and continuous. The smoothness requirement can be relaxed in most cases – as long as there are a finite number of discontinuities in f(x) and its derivatives.

  9. Wagon-wheel effect - Wikipedia

    en.wikipedia.org/wiki/Wagon-wheel_effect

    The wagon-wheel effect (alternatively called stagecoach-wheel effect) is an optical illusion in which a spoked wheel appears to rotate differently from its true rotation. The wheel can appear to rotate more slowly than the true rotation, it can appear stationary, or it can appear to rotate in the opposite direction from the true rotation ...