An infinite-dimensional linear system described by (x) over dot(t) = Ax(t)
+ Bu(t) (t greater than or equal to 0) is said to be optimizable if for eve
ry initial state x(0), an input u is an element of L-2 can be found such th
at x is an element of L-2. Here, A is the generator of a strongly continuou
s semigroup on a Hilbert space and B is an admissible control operator for
this semigroup. In this paper we investigate optimizability (also known as
the finite cost condition) and its dual, estimatability. We explore the con
nections with stabilizability and detectability. We give a very general the
orem about the equivalence of input-output stability and exponential stabil
ity of well-posed linear systems: the two are equivalent if the system is o
ptimizable and estimatable. We conclude that a well-posed system is exponen
tially stable if and only if it is dynamically stabilizable and input-outpu
t stable. We illustrate the theory by two examples based on PDEs in two or
more space dimensions: the wave equation and a structural acoustics model.