Liouville's formula

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In mathematics, Liouville's formula, also known as the Abel-Jacobi-Liouville Identity, is an equation that expresses the determinant of a square-matrix solution of a first-order system of homogeneous linear differential equations in terms of the sum of the diagonal coefficients of the system. The formula is named after the French mathematician Joseph Liouville. Jacobi's formula provides another representation of the same mathematical relationship.

Liouville's formula is a generalization of Abel's identity and can be used to prove it. Since Liouville's formula relates the different linearly independent solutions of the system of differential equations, it can help to find one solution from the other(s), see the example application below.

Statement of Liouville's formula[edit]

Consider the n-dimensional first-order homogeneous linear differential equation

on an interval I of the real line, where A(x) for xI denotes a square matrix of dimension n with real or complex entries. Let Φ denote a matrix-valued solution on I, meaning that each Φ(x) is a square matrix of dimension n with real or complex entries and the derivative satisfies


denote the trace of A(ξ) = (ai, j(ξ))i, j ∈ {1,...,n}, the sum of its diagonal entries. If the trace of A is a continuous function, then the determinant of Φ satisfies

for all x and x0 in I.

Example application[edit]

This example illustrates how Liouville's formula can help to find the general solution of a first-order system of homogeneous linear differential equations. Consider

on the open interval I = (0, ∞). Assume that the easy solution

is already found. Let

denote another solution, then

is a square-matrix-valued solution of the above differential equation. Since the trace of A(x) is zero for all xI, Liouville's formula implies that the determinant






is actually a constant independent of x. Writing down the first component of the differential equation for y, we obtain using (1) that

Therefore, by integration, we see that

involving the natural logarithm and the constant of integration c2. Solving equation (1) for y2(x) and substituting for y1(x) gives

which is the general solution for y. With the special choice c1 = 0 and c2 = 1 we recover the easy solution we started with, the choice c1 = 1 and c2 = 0 yields a linearly independent solution. Therefore,

is a so-called fundamental solution of the system.

Proof of Liouville's formula[edit]

We omit the argument x for brevity. By the Leibniz formula for determinants, the derivative of the determinant of Φ = (Φi, j)i, j ∈ {0,...,n} can be calculated by differentiating one row at a time and taking the sum, i.e.






Since the matrix-valued solution Φ satisfies the equation Φ' = AΦ, we have for every entry of the matrix Φ'

or for the entire row

When we subtract from the i th row the linear combination

of all the other rows, then the value of the determinant remains unchanged, hence

for every i ∈ {1, . . . , n} by the linearity of the determinant with respect to every row. Hence






by (2) and the definition of the trace. It remains to show that this representation of the derivative implies Liouville's formula.

Fix x0I. Since the trace of A is assumed to be continuous function on I, it is bounded on every closed and bounded subinterval of I and therefore integrable, hence

is a well defined function. Differentiating both sides, using the product rule, the chain rule, the derivative of the exponential function and the fundamental theorem of calculus, we obtain

due to the derivative in (3). Therefore, g has to be constant on I, because otherwise we would obtain a contradiction to the mean value theorem (applied separately to the real and imaginary part in the complex-valued case). Since g(x0) = det Φ(x0), Liouville's formula follows by solving the definition of g for det Φ(x).