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The mean position of a normalized state need not exist
A refutation, on an explicit normalized state in the one-dimensional specialization of the P1 state assignment and P2 position-probability rule, of the claim that every normalized preparation has a finite position mean. The displayed state has unit norm but neither a finite second moment nor a finite first absolute moment. The item defines the mean as the Lebesgue expectation and states its absolute-integrability condition; it asserts no measured value and no empirical claim.
Statement refuted
Specialize P1 to a one-dimensional system with state space and specialize P2 to the position observable , with outcome coordinate measured in metres. Its spectral projection for a Borel set is multiplication by , so a pure preparation has position law . Define its mean position to be the Lebesgue expectation when it is a finite real number; this is so exactly when , equivalently . The refuted claim is that every normalized has such a finite mean.
Facts & Assumptions
Given: Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice). The one-dimensional instance of P1 with and a normalized vector ; the P2 position observable as multiplication by , with the spectral PVM and law of [L6]; and the quantity conventions of Dimensions, SI unit conventions and quantity types of the framework.
Let be a length and define for and for . The formulas agree at , and . It is measurable and represents an almost-everywhere class; its membership is established in step 1.1 using [L5] and monotone convergence. Its squared tail is , whose improper Riemann integral converges by the rational -test (Improper integrals over unbounded intervals, The improper -test for rational exponents, The space as the quotient by null functions).
For the fundamental theorem and power rule give , , and ; the improper integrals are the limits as (Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive , For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm, Improper integrals over unbounded intervals).
Monotone convergence for the truncated absolute moments: and along the increasing sequence of sets , and similarly for the second moments (Monotone convergence for the integral).
Second moments and Cauchy-Schwarz: means , and for a probability density with finite second moment the first absolute moment is finite by the Cauchy-Schwarz inequality applied to the probability measure (Position and momentum operators on Euclidean L2, Cauchy–Schwarz: , with equality exactly for linearly dependent vectors).
For each , the three global integrands , and are real and continuous on , including at , because their defining formulas agree there. The tail functions , and of [L2] are real and continuous on , which excludes zero. Each of these restrictions is therefore bounded and Riemann integrable by A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion. Under the stated Countable Choice hypothesis, A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral identifies its finite-interval Riemann and Lebesgue integrals. Thus [L2] evaluates the truncated Lebesgue integrals used by [L3]; the tail notation below denotes the monotone limit of these nonnegative Lebesgue integrals, including .
Choice is carried from P2 and is an explicit hypothesis of Spectral measure of a real L2 multiplication operator clauses (a)-(c). On the positive, -finite Lebesgue measure space , the measurable finite multiplier satisfies that lemma's hypotheses. Under the stated Choice assumption (The Axiom of Choice), it identifies the self-adjoint position operator on and its spectral PVM , with pure-state law for every unit . The explicit moment calculations require no additional arbitrary choice.
Counterexample
[Norm one] The squared modulus is on and for . Its integral is by [L2] and [L3], so is a normalized state.
[Second moment infinite] The second moment is by [L2] and [L3]; equivalently and , although it is a normalized state.
[First absolute moment infinite] The first absolute moment is by [L2] and [L3]. Both one-sided integrals diverge, so is not integrable for the probability measure and its Lebesgue expectation is not a finite real mean.
By steps 1.1-1.3 the P1 preparation is normalized and its P2 position law has infinite first absolute moment, so the refuted universal claim fails. By the definition in the Statement its mean exists exactly when ; and by [L4], the second-moment condition implies this integrability by Cauchy-Schwarz.
Remarks
- The example concerns the existence of a moment, not the definition of the preparation: the displayed is a legitimate normalized state, and statements about its position distribution are computed from . What fails is only the claim that the first moment is automatically finite.
- Moments are not part of the probability postulate of the page; each mean, variance or higher moment of an outcome law is asserted only where its integrability has been established, exactly as the quantity conventions of the framework require.
Depends on
Dimensions, SI unit conventions and quantity types of the framework
State and composition postulate P1: Hilbert spaces, preparations and composite systems
Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes
Position and momentum operators on Euclidean L2
Spectral measure of a real L2 multiplication operator
Complex Lp classes and Euclidean test-function conventions
The space as the quotient by null functions
Improper integrals over unbounded intervals
The improper -test for rational exponents
Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive
For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term
Monotone convergence for the integral
Cauchy–Schwarz: , with equality exactly for linearly dependent vectors
A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral
A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion
The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm
The Axiom of Countable Choice ()
The Axiom of Choice
Dependency tree · 2 levels
Sources
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 2.1, printed pages 55-58 (PDF pages 67-70): the probability interpretation, expectation values and the moment conditions for position
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 1 'Wave Mechanics', Section 1, printed pages 1-4: normalization of wave functions and the probability density