Wronskian Created 2026-09-24 Updated 2026-10-18
For two differentiable functions on an interval , their Wronskian is the function
The order matters: exchanging and reverses the sign. For sufficiently differentiable functions, the Wronskian is the determinant .[ref]
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 functions
solve the same homogeneous linear differential equation on the whole real line: substitution gives and , respectively. Their Wronskian is
For the initial value problem , , the linear combination requires and . Hence , , and . The nonzero Wronskian makes the two initial conditions independently adjustable.
Figure 1.
Independent exponential functions supply independent initial data, with Wronskian equal to the oriented parallelogram area
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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]
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.
Figure 2.
An identically zero Wronskian can coexist with linear independence when the common regular equation hypothesis is absent
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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.