TheoremComplete

Fundamental Set of Solutions

A fundamental set of solutions for an nn-th order linear ODE provides a basis for the solution space, from which the general solution is constructed.


Statement

Theorem3.2Existence of a fundamental set

Consider the nn-th order linear homogeneous ODE

y(n)+pn−1(t)y(n−1)+â‹Ŋ+p1(t)yâ€ē+p0(t)y=0y^{(n)} + p_{n-1}(t)y^{(n-1)} + \cdots + p_1(t)y' + p_0(t)y = 0

where p0,â€Ķ,pn−1p_0, \ldots, p_{n-1} are continuous on an interval II. Then:

  1. The solution space is a vector space of dimension nn.
  2. There exist nn solutions y1,â€Ķ,yny_1, \ldots, y_n that are linearly independent on II.
  3. Every solution can be written as y=c1y1+â‹Ŋ+cnyny = c_1 y_1 + \cdots + c_n y_n for unique constants c1,â€Ķ,cnc_1, \ldots, c_n.
  4. The solutions y1,â€Ķ,yny_1, \ldots, y_n are linearly independent if and only if their Wronskian W(y1,â€Ķ,yn)(t0)≠0W(y_1, \ldots, y_n)(t_0) \neq 0 for some (equivalently, every) t0∈It_0 \in I.
RemarkWronskian determinant

The Wronskian of y1,â€Ķ,yny_1, \ldots, y_n is

W(t)=âˆĢy1y2â‹Ŋyny1â€ēy2â€ēâ‹Ŋynâ€ēâ‹Ū⋱â‹Ūy1(n−1)y2(n−1)â‹Ŋyn(n−1)âˆĢ.W(t) = \begin{vmatrix} y_1 & y_2 & \cdots & y_n \\ y_1' & y_2' & \cdots & y_n' \\ \vdots & & \ddots & \vdots \\ y_1^{(n-1)} & y_2^{(n-1)} & \cdots & y_n^{(n-1)} \end{vmatrix}.

By Abel's formula, W(t)=W(t0)exp⁥(−âˆŦt0tpn−1(s) ds)W(t) = W(t_0)\exp\left(-\int_{t_0}^t p_{n-1}(s)\,ds\right). Hence WW is either identically zero or never zero on II.


Proof

Proof

Linearity: If y1,y2y_1, y_2 are solutions and c1,c2∈Rc_1, c_2 \in \mathbb{R}, then c1y1+c2y2c_1y_1 + c_2y_2 is a solution (by linearity of differentiation). So the solution set is a subspace of Cn(I)C^n(I).

Dimension = nn: For any initial conditions (y(t0),yâ€ē(t0),â€Ķ,y(n−1)(t0))=(a0,a1,â€Ķ,an−1)(y(t_0), y'(t_0), \ldots, y^{(n-1)}(t_0)) = (a_0, a_1, \ldots, a_{n-1}), the existence and uniqueness theorem guarantees exactly one solution. Define yky_k as the solution with initial conditions given by the kk-th standard basis vector: yk(j)(t0)=Îījky_k^{(j)}(t_0) = \delta_{jk}.

Then W(y1,â€Ķ,yn)(t0)=det⁥(In)=1≠0W(y_1, \ldots, y_n)(t_0) = \det(I_n) = 1 \neq 0, so y1,â€Ķ,yny_1, \ldots, y_n are linearly independent. Any solution yy with initial conditions (a0,â€Ķ,an−1)(a_0, \ldots, a_{n-1}) equals ∑akyk\sum a_k y_k (by uniqueness). ■\blacksquare

■

Examples

ExampleThird-order constant coefficient equation

Solve yâ€ēâ€ēâ€ē−6yâ€ēâ€ē+11yâ€ē−6y=0y''' - 6y'' + 11y' - 6y = 0.

Characteristic equation: r3−6r2+11r−6=(r−1)(r−2)(r−3)=0r^3 - 6r^2 + 11r - 6 = (r-1)(r-2)(r-3) = 0.

Fundamental set: {et,e2t,e3t}\{e^t, e^{2t}, e^{3t}\}. Wronskian:

W=âˆĢete2te3tet2e2t3e3tet4e2t9e3tâˆĢ=2e6t≠0.W = \begin{vmatrix} e^t & e^{2t} & e^{3t} \\ e^t & 2e^{2t} & 3e^{3t} \\ e^t & 4e^{2t} & 9e^{3t}\end{vmatrix} = 2e^{6t} \neq 0.

General solution: y=c1et+c2e2t+c3e3ty = c_1e^t + c_2e^{2t} + c_3e^{3t}.

ExampleRepeated characteristic roots

For yâ€ēâ€ēâ€ē−3yâ€ēâ€ē+3yâ€ē−y=0y''' - 3y'' + 3y' - y = 0, the characteristic equation is (r−1)3=0(r-1)^3 = 0 (triple root r=1r = 1).

Fundamental set: {et,tet,t2et}\{e^t, te^t, t^2e^t\}. General solution: y=(c1+c2t+c3t2)ety = (c_1 + c_2 t + c_3 t^2)e^t.

This illustrates the general rule: a root rr of multiplicity mm contributes {ert,tert,â€Ķ,tm−1ert}\{e^{rt}, te^{rt}, \ldots, t^{m-1}e^{rt}\}.

RemarkComplex roots

For an ODE with real coefficients, complex characteristic roots come in conjugate pairs ι¹iÎē\alpha \pm i\beta, contributing real solutions eÎątcos⁥Îēte^{\alpha t}\cos\beta t and eÎątsin⁥Îēte^{\alpha t}\sin\beta t. For a pair with multiplicity mm, the contributions are {tkeÎątcos⁥Îēt,tkeÎątsin⁥Îēt}k=0m−1\{t^k e^{\alpha t}\cos\beta t, t^k e^{\alpha t}\sin\beta t\}_{k=0}^{m-1}.