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Oct 10, 2022 at 23:57 comment added Oscar Lanzi In fact the counterexample saturates the true bound I have added.
Oct 10, 2022 at 22:21 comment added Jochen Glueck It might be worthwhile to add the following intuitive explanation of the phenomenon that is at work here: the problem is that a given norm on a vector space influences the induced norm (i.e., the operator norm, as my inner functional analyst wants to say) of an operator $A$ in two ways: in the expression $\|Ax\|$ over which we take a surpremum, and in the condition $\|x\| \le 1$ for taking the supremum. If you increase the norm on the vector space, the first point "wants" to increase the induced norm of $A$, while the second point "wants" to decrease it.
Oct 10, 2022 at 22:03 comment added Will Jagy One point about induced norms on matrices, told me by Kahan decades ago: if we have two distinct induced norms, taking the maximum of those creates a new function on matrices with some nice properties, but it cannot be an induced norm itself. Oh: so no induced norm can dominate another.
Oct 10, 2022 at 21:18 vote accept DrunkCoder
Oct 10, 2022 at 21:11 history answered Yemon Choi CC BY-SA 4.0