A. Neumaier
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I corrected the formula for ##\sigma_A##. I gave clear and complete mathematical definitions of all notions used (except for Hermitian quantity, or observable).vanhees71 said:This I don't understand. How are expectation values, including the standard deviation (there should be square root to meet the usual definition
The formula is enough to define what it means in a logical sense, just as ##[a,b]:=\{x\in R \mid a\le x\le b\}## completely defined the meaning of an interval.
Note that I use the brackets simply as an abbreviation for the trace, not presuming any other meaning than the formula through which it is defined. This is the common practice in definitions that you find in all mathematically oriented texts. And I am nowhere using the statistical connotations ''expectation value'' or ''standard deviation'' but ''uncertain value'' and ''uncertainty''. These two notions are axiomatically defined by the definitions I give, and they get their informal physical meaning through the informal words used in my formulation of the uncertainty principle and the measurement rule.
This way of proceeding, using an established term to denote something different and more general is standard practice even with physicists, who talk about state vectors, not having in mind the little arrows that once defined the concept of a vector but instead thinking about a wave function behind the same term. For this it is sufficient that the same mathematical rules hold for manipulating true vectors and state vectors.
In the same way, the words ''expectation values'' are appropriate whenever a mathematical formalism (such as that of quantum mechanics) uses formulas borrowed from statistics and then generalized (in the present case from random variables to linear operators), as long as the formal rules are the same. As in the analogy between vectors described by arrows and state vectors, there is no reason to take the name ''expectation value'' any more literal than the word ''vector''. And indeed, in my formulation, i completely avoid it. (The authors of the papers discussed in the present thread do the same but rename the expectation values to q-expectation values, hoping in this way to break the connection. This is described in detail in their paper discussed in post #85 of this thread.