Both functions satisfy the constant-coefficient homogeneous linear differential equation
Its characteristic polynomial is , so the general real solution is . The three initial conditions give , , and , hence
Here the equation has continuous coefficients and nonzero highest-derivative coefficient everywhere. The uniqueness theorem for ordinary differential equations, applied to its three-component first-order system, gives a unique solution on the entire half-line.
The homogeneous linear differential equation has general solution . For a particular solution, use variation of parameters with , and Wronskian one:
The double-angle formulas and integration by parts give
Substitution simplifies to . Absorb the last term into the homogeneous linear differential equation solution. Therefore
Indeed, applying to gives , and applying it to gives ; their difference divided by four is the required .
The characteristic equation of the homogeneous linear differential equation is
The real general solution is . The first boundary value gives . At , and , so . Hence
The homogeneous linear differential equation is . Its characteristic equation is , with roots . The general real complementary function is therefore
The two trigonometric solutions are linearly independent, supplying the two arbitrary constants required for this second-order linear ordinary differential equation.
The characteristic equation of the associated homogeneous linear differential equation is . A constant particular integral is , so
The first boundary condition gives . The second gives . Eliminating yields , hence and . Therefore
The equation is not separable, because cannot be written as a product of a function of and a function of on an open region. For example, the ratio depends on for distinct fixed , whereas a separated product would give a constant ratio.
It is not homogeneous in the sense of a homogeneous first-order differential equation: the right-hand side is not a function of alone. It is also not a homogeneous linear differential equation, since moving the term to the left leaves a nonzero forcing.
It is linear, since it has the standard linear ordinary differential equation form
Thus the classifications are (a) no, (b) no, (c) yes.
The associated homogeneous linear differential equation has characteristic roots , so its complementary function is . For a particular integral, the method of undetermined coefficients suggests . Substitution and comparison of coefficients gives
so . The general solution is therefore
The first boundary condition gives . At , the polynomial part already equals the assigned boundary value and the cosine vanishes, so . Thus
This is the unique solution satisfying the two boundary conditions; here the phrase “particular solution” means that selected member of the full family, rather than only the polynomial particular integral.
The characteristic equation of the reduced homogeneous linear differential equation is . Its polynomial roots change type with the sign of , giving
For , the zero polynomial root is repeated, so the second independent solution is . For , the polynomial roots are the complex conjugate pair , and the displayed sine and cosine give a real basis of solutions. The constants are arbitrary real numbers. In every case reconstructs the corresponding general solution of the coupled system.
The substitution reduces the homogeneous linear differential equation to
A first integration gives , and a second gives . Hence
The Wronskian of is , so they are linearly independent on either side of zero. At zero the differential equation has a regular singular point. The displayed solutions extend analytically through it; their linear combinations describe the global solutions when two continuous derivatives are required there. If no matching condition is imposed, the two sides have independent constants.
The homogeneous linear differential equation has solutions and . Since the forcing is already a homogeneous solution, seek a particular solution proportional to . Direct differentiation gives
Thus the general solution of the linear ordinary differential equation is
The first initial condition gives . Also
so the second initial condition gives , hence . Therefore
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.