Next: 3.2.6 Piecewise Models
Up: 3.2 Constant Interval Arithmetic
Previous: 3.2.4 Constant Functions
Consider the interval model
of the function .
The function g has many interval models; we will now define
when the model is optimal.
A bound is optimal,
for interval arithmetic, if no better
upper bound exists:
The model returns optimal upper bounds
if the upper bound is optimal for all :
We may now prove that the interval extension of g
is optimal. Consider the upper bound, for argument j:
from the definition of interval extension.
The only way could fail to
be optimal is for there to be a better bound of g(j).
This contradicts the definition of supremum; let the
better bound be denoted as l,
or, equivalently:
but:
We now know that if g is differentiable over ,
then the upper bound given by
is obtained by for
some in j:
since j is closed.
Lower bounds are handled similarly, and will be addressed in section .
Optimality can be defined without direct reference to the underlying function:
It is clear that
since if then is
clearly not optimal, so is not optimal.
If is valid, then .
Next: 3.2.6 Piecewise Models
Up: 3.2 Constant Interval Arithmetic
Previous: 3.2.4 Constant Functions