Mathematics · Glossary

What is Wronskian?

Also known as: fundamental system

Definition 16.6 University Mathematics — Year 2 · Chapter 16 — Differential Equations

For solutions X1,,XnX_1, \dots, X_n of the homogeneous system, the wronskian is W(t)=det(X1(t),,Xn(t))W(t) = \det\bigl(X_1(t), \dots, X_n(t)\bigr). By the isomorphism above, either WW vanishes identically (the family is linked) or never (a fundamental system); quantitatively, W=tr(A(t))WW' = \operatorname{tr}\bigl(A(t)\bigr) W, so

W(t)=W(t0)exp(t0ttrA(s) ⁣ds)(Liouville’s formula).W(t) = W(t_0)\,\exp\Bigl(\int_{t_0}^{t} \operatorname{tr} A(s)\,\dd s\Bigr) \quad \text{(Liouville's formula)}.

Examples

Example 16.7 (Liouville checked on an Euler equation)

On (0,)\intoo{0}{\infty}, the equation t2y+tyy=0t^2y'' + ty' - y = 0 has the solutions y1(t)=ty_1(t) = t and y2(t)=1ty_2(t) = \frac1t (substitute). Their wronskian:

W(t)=det(t1t11t2)=1t1t=2t,W(t) = \det\begin{pmatrix} t & \tfrac1t\\[2pt] 1 & -\tfrac{1}{t^2}\end{pmatrix} = -\frac1t - \frac1t = -\frac2t ,

never zero: a fundamental system. Now check Liouville: in normalized form y+1ty1t2y=0y'' + \frac1t\,y' - \frac{1}{t^2}\,y = 0, the companion matrix A(t)=(011t21t)A(t) = \begin{pmatrix} 0 & 1\\ \frac{1}{t^2} & -\frac1t\end{pmatrix} has trace 1t-\frac1t, so

W(t)=W(1)exp(1t ⁣dss)=2elnt=2t.W(t) = W(1)\exp\Bigl(-\int_1^t\frac{\dd s}{s}\Bigr) = -2\,\eu^{-\ln t} = -\frac2t . \checkmark

Closing insight: Liouville predicts the shape of the wronskian before any solution is known — here, that WW must be ct\frac{c}{t}; this is what powers the reduction-of-order method (Proposition 16.15), where knowing y1y_1 and the wronskian’s form determines y2y_2 by one quadrature.

Example 16.5 (The evaluation isomorphism, concretely)

For y+y=0y'' + y = 0, viewed as the system X=(0110)XX' = \begin{pmatrix} 0 & 1\\ -1 & 0\end{pmatrix}X with X=(y,y)X = (y, y'): the theorem says the solution space is a plane, and that XX(0)=(y(0),y(0))X \mapsto X(0) = (y(0), y'(0)) is an isomorphism onto R2\R^2. The solutions cos\cos and sin\sin evaluate to (1,0)(1, 0) and (0,1)(0, 1) — the canonical basis of R2\R^2 — so they form a basis of the solution space, and every solution is

y(t)=y(0)cost+y(0)sint,y(t) = y(0)\cos t + y'(0)\sin t ,

with the coefficients read directly off the initial data, no linear system to solve. Closing insight: choosing the fundamental system whose initial values are the canonical basis (here cos,sin\cos, \sin) is exactly choosing the columns of etA\eu^{tA}; the evaluation isomorphism is why initial conditions parametrize trajectories — the geometric content of “deterministic dynamics” for linear equations.

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