Math 2.0

statement theorem

Wronskian test for linear independence of solutions

Statement

Let II be an open interval, let a0,…,an−1:I→Ra_0, \dots, a_{n-1} : I \to \mathbb{R} be continuous, and let y1,…,yny_1, \dots, y_n be solutions on II of the homogeneous linear equation y(n)+an−1(x)y(n−1)+⋯+a0(x)y=0y^{(n)} + a_{n-1}(x) y^{(n-1)} + \dots + a_0(x) y = 0. Let W=W(y1,…,yn)W = W(y_1, \dots, y_n) be their Wronskian. Then these three conditions are equivalent. (a) The functions y1,…,yny_1, \dots, y_n are linearly independent on II. (b) There is a point x0∈Ix_0 \in I with W(x0)≠0W(x_0) \ne 0. (c) For each x∈Ix \in I, W(x)≠0W(x) \ne 0.

Remarks

So the Wronskian of nn solutions is either zero at each point of II or zero at no point of II. Abel's identity gives the same result for n=2n = 2. For arbitrary functions, W(x0)≠0W(x_0) \ne 0 at one point still implies linear independence. But the converse fails: x2x^2 and x∣x∣x |x| are linearly independent on R\mathbb{R}, and their Wronskian is 00 at each point. Example: exe^{x} and e−xe^{-x} solve y′′−y=0y'' - y = 0, and their Wronskian is −2-2, so they are independent.

Explanations

L1 human

To check that nn solutions are independent, compute one determinant at one point. If it is not zero, the solutions are independent and form a basis of all solutions. For solutions of a linear equation, the value at one point already decides the question.

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  1. Differential equation concept
  2. Function concept
  3. Interval concept
  4. Wronskian definition
  5. Ordinary differential equation definition
  6. Order of a differential equation definition
  7. Linear differential equation of order n definition
  8. Homogeneous linear equation definition
  9. Superposition principle statement
  10. Solution space of a homogeneous linear equation has dimension n statement
  11. Wronskian test for linear independence of solutions statement

Sources

  1. Web https://en.wikipedia.org/wiki/Wronskian, Application to linear differential equations