Let be a cotype 2 constant of . All bounded linear operators from have finite p-summing norms: writing and using the triangle inequality in the finite-family norm gives . Thus applying the Pietsch factorization theorem below is legitimate.
First let , and use the Pietsch factorization theorem to choose a probability measure on the dual unit ball . For a finite family , the cotype 2 inequality and Pietsch factorization theorem domination give
The Jensen inequality bounds the final bracket by . For real or complex scalars,
For complex scalars, paired-index expansion gives , which is at most the displayed bound by the triangle inequality. For real scalars this reduces to . Since is a probability measure on the dual unit ball, we obtain
Taking the least constant proves with , uniformly in .
We next prove a summing-norm interpolation estimate using coordinate truncation. Put and , assuming . The Pietsch factorization theorem for gives a measure on . The Cauchy-Schwarz inequality gives
Set . Their sum is at most one; adding the missing mass to one coordinate, if necessary, makes a probability vector and preserves domination. Hence
Write . For , clip each coordinate of at magnitude , obtaining , with if . Set . Then and
The triangle inequality and the two different bounds on now give . For , take ; if , domination already gives . Consequently
Summing fourth powers over any family gives
since each coordinate evaluation belongs to the dual unit ball. Therefore . Combine this with the first estimate:
The zero operator also satisfies this inequality. Both constants depend only on , through its cotype 2 constant, and not on .
Finally let have dimension , with its inherited norm. The permitted finite-dimensional identity result is . The inclusion is an isometric embedding, so . For every Banach space isomorphism , apply the preceding estimate to and the ideal property of absolutely p-summing operators:
The Banach-Mazur distance is the infimum of this last product over , and therefore