Controls determinant variation by replacing one matrix row at a
time.
Statement
Let
be a finite set of size
,
and give
the sup norm
(the zero norm on the zero space if
).
For continuous real-linear maps
,
use the induced operator norm. If
,
then
For
,
both determinants are
and the bound is
.
Assumptions
The coordinate set
is finite and may be empty. The coefficients are real and the operator
norm is induced by the sup norm on both domain and codomain. Neither map
is assumed invertible.
Conclusion
The coefficient
counts the number of row replacements. The norm is specifically the sup
operator norm; the estimate is not being asserted here with an
unspecified norm on the same coordinate space.
The row estimate uses the sum of the absolute values of entries, not
the Euclidean length of a row. This fits the sup norm through a sign
vector. All coordinate matrices refer to the standard coordinate basis,
so their determinants are the determinants of the original linear
maps.
Proof route
The determinant is bounded by the product of the absolute row sums. A
sign vector bounds each such row sum by the sup operator norm. In a
one-row replacement, one row is a row of
and the other
rows are rows of
or
;
summing the
replacement bounds gives the result.
Proof steps
Bound a determinant by its row sums. Let
be a real square matrix, and let
denote the permutations of
.
Expanding the determinant gives
The second inequality includes all functions
,
rather than only bijections; every added summand is nonnegative. The
last equality is distributivity: expanding the product chooses one
column
independently in each row. This is precisely the row-sum bound needed
below, not a bound by Euclidean row lengths.
Bound each row sum by the operator norm. Let
now be the standard matrix of a continuous real-linear map
,
so
for the coordinate vector
.
For a fixed row
,
choose
Then
,
and therefore
Apply this with
,
,
and
.
These three applications provide the bounds for every row appearing in
the next step.
Estimate one row replacement. Assume
and choose one enumeration of
for both rows and columns. Write
and
.
Define
Thus
is the matrix of
and
that of
.
For
,
let
have row
equal to
and every other row equal to that of
.
Linearity of the determinant in row
gives
Step 2 bounds the row sums of
by
Substituting these bounds into Step 1 yields
There is one difference row and exactly
other rows. For
,
the product over the other rows is the empty product
.
Sum the
replacement bounds. Since
and
in the standard coordinates,
This is the stated bound. If
,
there are no replacements and both empty determinants are
,
giving
separately.