Dahlquist Second Barrier
No A-stable linear multistep method can have order greater than 2. Among all A-stable linear multistep methods of order 2, the trapezoidal rule has the smallest error constant .
Proof
Setup. Consider a -step method applied to , giving the recurrence where .
The stability function satisfies . For A-stability, all roots must satisfy for all with .
Boundary locus approach. On the imaginary axis (), A-stability requires . On the unit circle : .
Order conditions. Write and . An order- method satisfies (matching the Taylor expansion of ).
Key identity. On the unit circle, . For A-stability, for all (by the boundary locus criterion). Define .
Proof for order impossibility. Suppose the method has order . Then near . For : (for odd) or (general case).
More precisely: gives . For A-stability, we need near . But for , the leading real term changes sign near (since is even, changes sign, and the coefficient has a fixed sign). This forces for small of one sign, contradicting A-stability.
Formally: if , then near (after careful computation of the real part). If , this is positive for small , violating A-stability. If , the method effectively has order , and one continues inductively. The argument shows that the only way to maintain everywhere is to have order .
Optimality of trapezoidal rule. Among order-2 methods, the error constant satisfies , with equality for the trapezoidal rule.
The second barrier explains why BDF methods sacrifice A-stability for higher order: BDF3-6 are A()-stable but not A-stable. Implicit Runge-Kutta methods bypass the barrier since they are not linear multistep methods. Gauss-Legendre IRK methods achieve order with stages and are A-stable, at the cost of solving coupled implicit systems of dimension .
The trapezoidal rule achieves the maximum order (2) among A-stable multistep methods, with the smallest error constant (). Its stability function maps into the unit disc and preserves the imaginary axis (). This exact conservation on makes it symplectic for Hamiltonian systems, explaining its popularity in structure-preserving integration.