Selects a maximizing dual frame for a specified basis.
Statement
Let
,
let
be a finite-dimensional real normed vector space, and fix an ordered
basis
.
Write
for the coordinate isomorphism, defined by
,
and give its coordinate space the sup norm
(zero in dimension zero). A frame is an ordered family
of continuous real linear functionals, with no independence assumed. Its
matrix and evaluation map are
The admissible frames form the product of closed dual unit balls
The norm on
need not be a coordinate sup norm. There is a frame
such that
Assumptions
The space is finite-dimensional over
and
is its specified basis indexed by
elements. Each admissible row lies in the closed operator unit ball. No
independence of the varying frames, positive dimension, or uniqueness of
a maximizing frame is assumed.
Conclusion
One admissible frame attains the maximum of the absolute determinant.
The numerical maximum
depends on
,
although its value does not depend on which maximizer is chosen.
Positivity is a separate result.
Proof route
Use compactness of the finite product of dual balls and continuity of
the absolute determinant.
The zero-frame
witness is
for every
,
so the domain is nonempty, also when
.
Maximize the correct function. Every entry
is continuous, and the determinant is a finite sum of products of
entries. Therefore
is continuous, as in continuity
of the frame determinant. Apply the extreme-value theorem to this
continuous real function on the nonempty compact set
.
Its output is
with the displayed comparison for every
.
This is an absolute maximum; no sign of
is asserted.
/-- Existence of an attained absolute determinant maximum. -/
theorem exists_maximizingFrame (b : Basis (Fin n) ℝ E) :
∃ B ∈ unitFrameSet n E,
∀ C ∈ unitFrameSet n E,
|frameDeterminant b C| ≤ |frameDeterminant b B|
The basis is the explicit input. The result after the colon is the
existence and maximizing property of one frame.
The ambient
is a finite-dimensional real normed vector space, with its given norm
(not necessarily a coordinate sup norm). These hypotheses occur in the
separate surrounding excerpt.
Fin n → ℝ
The coordinate space
with the sup norm. Lean indexes the coordinates by
;
the formulas here use
.
Frame n E
The ordered families
with
continuous and real linear. No independence is part of this type.
unitFrameSet n E
The set
.
Its elements are families of functionals, not points of
.
∃ B ∈ unitFrameSet n E
There exists a frame
.
This chosen maximizing frame is called B in the
source.
∀ C ∈ unitFrameSet n E
The comparison is required for every
,
called C in the source.
In the source
Mathematical meaning
frameDeterminant b C; frameDeterminant b B
Respectively
and
,
with
.
|frameDeterminant b C| ≤ |frameDeterminant b B|
The output comparison
.
The bars are absolute values, so no orientation sign is fixed.
Here ∀ means “for every”, ∃ means “there
exists”, and ∈ means set membership. Juxtaposition such as
unitFrameSet n E is function application, not
multiplication.