Thue-Siegel auxiliary polynomial Created 2026-09-24 Updated 2026-10-14
For an algebraic number of degree and a small , Siegel lemma constructs integer polynomials of degree at most and exponentially bounded coefficients for which has a zero at of order close to . A Wronskian then prevents every specialization from having a high-order zero at a rational point. This is the auxiliary-polynomial mechanism in the Thue-Siegel method.
Two differentiable functions can be linearly independent on a connected interval while their Wronskian vanishes everywhere. For example, let and . Both have a continuous first derivative, and their values and first derivatives vanish at zero. On either side of zero one of the functions is identically zero, so everywhere. Evaluating a constant linear combination at and forces .
The obstruction is that the two halves supply independent information without simultaneous nonzero value-and-derivative data at any point. For solutions of a common regular second-order linear differential equation, the uniqueness theorem for ordinary differential equations removes this possibility; Abel's identity gives the zero-or-nowhere-zero alternative for their Wronskian.
Variation of parameters Created 2026-09-24 Updated 2026-10-18
Variation of parameters replaces the constants in a complementary solution by functions to construct a particular solution.
For the inhomogeneous linear differential equation , assume are continuous functions on an interval , and are linearly independent homogeneous solutions there. With and , variation of parameters constructs the particular solutionThe Wronskian has no zeros on , so these quotients are defined. For , normalize first: , not .[ref]
To derive the formula, write and impose . This auxiliary choice removes extra terms from the first derivative. Substitution into the inhomogeneous linear differential equation leaves . The two linear equations for have determinant , and Cramer's rule givesIntegrating from makes . Arbitrary integration constants contribute only homogeneous solutions; adding supplies the general solution.
For a worked example, use the same homogeneous solutions and the forcing term in . With and ,Consequently the particular solution selected by zero initial conditions isIts value and first derivative vanish at zero. Direct substitution confirms the forcing term: the differential operator annihilates the last two terms and maps to . The two integrals therefore build a response from known homogeneous solutions, even when the forcing term has no convenient elementary guess.
Wronskian Created 2026-09-24 Updated 2026-10-18
For two differentiable functions on an interval , their Wronskian is the functionThe order matters: exchanging and reverses the sign. For sufficiently differentiable functions, the Wronskian is the determinant .[ref]
1 Algebraic and Analytic Methods. NIST Digital Library of Mathematical Functions; §1.13(i), equation 1.13.4 and the following n-argument definition
The Wronskian measures whether the vectors and supply independent value-and-derivative data at that point. For real-valued functions, its absolute value is the area of the parallelogram they span. If a constant linear combination is zero throughout , then too. A nonzero Wronskian at even one point makes this pair of linear equations invertible and forces . Thus a nonzero Wronskian somewhere always proves linear independence of the functions on .
For an explicit example, the exponential functionssolve the same homogeneous linear differential equation on the whole real line: substitution gives and , respectively. Their Wronskian isFor the initial value problem , , the linear combination requires and . Hence , , and . The nonzero Wronskian makes the two initial conditions independently adjustable.
Independent exponential functions supply independent initial data, with Wronskian equal to the oriented parallelogram area
. Details. The stronger converse requires a common equation. Suppose solve with continuous functions on one interval . Then the functions are linearly independent if and only if their Wronskian is nonzero at one point, equivalently at every point. If , choose constants , not both zero, making satisfy . The superposition principle makes a solution of a differential equation for the same equation, and the uniqueness theorem for ordinary differential equations forces to be identically zero. This proves linear dependence.[ref]
The Wronskian. 18.03 Supplementary Notes by Haynes Miller; Chapter 15, The Wronskian, printed pp. 72–73: initial-data system (3) and the zero-or-nowhere-zero theorem
For arbitrary differentiable functions, an identically zero Wronskian need not imply linear dependence. Consider, on ,Both functions have three continuous derivatives. On each side of zero, is a constant multiple of , so ; at zero their values and first derivatives are all zero, so the Wronskian is zero there too. Nevertheless evaluated at gives , while evaluation at gives . Hence : these functions are linearly independent on the whole interval. There is no single constant multiplier valid on both sides of the common zero.
An identically zero Wronskian can coexist with linear independence when the common regular equation hypothesis is absent
. Details. These functions cannot both solve any equation with continuous functions throughout : even alone would contradict uniqueness because but is not identically zero. They do solve the singular equation , whose leading coefficient vanishes at zero. Dividing by gives only away from zero; Abel's identity cannot be applied across that point. The example pinpoints why checking the equation and its interval is essential before using a zero Wronskian to infer linear dependence.
Wronskian of a rational map 2026-10-05
For a reduced rational map , its derivative is with . Away from target-coordinate poles, the zeros of this Wronskian identify its ramification points of a holomorphic map; at a pole use the reciprocal coordinate . A pole of order contributes ramification order , and infinity must also be checked in local coordinates. For degree the Riemann-Hurwitz formula gives total ramification . The affine polynomial can have fewer finite zeros because some ramification lies at infinity. In the rational map approximation for Skyrmions, these directions have zero angular baryon density.

