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Mathematics LibreTexts

4.3: The Wronskian

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Suppose that having determined that two solutions of (4.2.1) are x=X1(t) and x=X2(t), we attempt to write the general solution to (4.2.1) as (4.2.2). We must then ask whether this general solution will be able to satisfy the two initial conditions given by x(t0)=x0,.x(t0)=u0.

Applying these initial conditions to (4.2.2), we obtain c1X1(t0)+c2X2(t0)=x0,c1.X1(t0)+c2.X2(t0)=u0, ) which is observed to be a system of two linear equations for the two unknowns c1 and c2. Solution of (4.3.2) by standard methods results in c1=x0.X2(t0)u0X2(t0)W,c2=u0X1(t0)x0.X1(t0)W, where W is called the Wronskian and is given by W=X1(t0).X2(t0).X1(t0)X2(t0).

Evidently, the Wronskian must not be equal to zero (W0) for a solution to exist.

For examples, the two solutions X1(t)=Asinωt,X2(t)=Bsinωt, have a zero Wronskian at t=t0, as can be shown by computing W=(Asinωt0)(Bωcosωt0)(Aωcosωt0)(Bsinωt0)=0; while the two solutions X1(t)=sinωt,X2(t)=cosωt, with ω0, have a nonzero Wronskian at t=t0, W=(sinωt0)(ωsinωt0)(ωcosωt0)(cosωt0)=ω.

When the Wronskian is not equal to zero, we say that the two solutions X1(t) and X2(t) are linearly independent. The concept of linear independence is borrowed from linear algebra, and indeed, the set of all functions that satisfy (4.2.1) can be shown to form a two-dimensional vector space.


This page titled 4.3: The Wronskian is shared under a CC BY 3.0 license and was authored, remixed, and/or curated by Jeffrey R. Chasnov via source content that was edited to the style and standards of the LibreTexts platform.

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