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Qm Math Oscillator — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Approximation and Compactness in C(K)
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fourier Transform Convolution and Approximate Identities
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Math Composites
- Qm Math Oscillator
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Inverse and Implicit Function Theorems
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The companion page to qm-math-oscillator records three explicit
mathematical checks behind its spectral, coherent and differential results. All
three items are mathematics: they carry domain: mathematics, depend only on
the items of the parent page and on mathematical suppliers, and make no
physical or empirical claim.
Ground energy units reads the spectrum of the realised oscillator in units of : the ground energy is , every gap is , the ground eigenvector is the Gaussian solving pointwise, and the isotropic -dimensional ground energy is in the same units, so for . None of these numbers is identified with a measured energy.
Poisson number distribution computes the coefficients of the coherent vector in the number basis: has total mass , mean and variance , so the coefficient distribution is the Poisson distribution with parameter , with every positive when . The statement is about the coefficients of a vector in an orthonormal basis, not about measured counts.
Formal nonnormalizable solution exhibits the classical formal second solution of the ground-state equation : it has constant Wronskian against the Gaussian , satisfies for and is therefore not in , and every solution of the equation is a constant multiple of . This is the analytic reason the eigenfunction at the bottom of the spectrum is the normalizable Gaussian and not the formal growing solution.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Ground energy units
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Fix and let , , be as in Oscillator scaling and exact realization. Then:
(a) the spectrum of is exactly ; measured in units of the eigenvalues are , the ground energy is
and every consecutive gap is unit: ;
(b) the ground eigenvector is the Gaussian
and it satisfies the eigenvalue equation pointwise:
(c) for the isotropic -dimensional oscillator of Multidimensional oscillator completeness(d) with common frequency , the ground energy is in the same units, in particular for , and all gaps within one coordinate direction are ;
(d) no other value of the ground energy is compatible with the displayed spectrum: is the infimum of .
No physical identification of with a measured energy is made; the statements are about the operator built from the positive parameters.
Facts & Assumptions
Given: positive reals ; ; the oscillator operator with basis .
is self-adjoint with complete orthonormal eigenbasis , , and (Oscillator scaling and exact realization(b)).
with , , and for every one has pointwise (Oscillator scaling and exact realization(a),(c), Hermite recurrence(a)).
and by the product rule, the chain rule and (Sums, scalar multiples, products and quotients: , , , and when , The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , The exponential function is smooth and , The complex exponential by its power series).
and , because (Oscillator scaling and exact realization).
Verification
[(a) levels] By [F1], each is a unit eigenvector with eigenvalue , and is exactly the set of these numbers. Hence , so , and for every , so .
[(c) -dimensional ground energy] In the isotropic -dimensional operator of Multidimensional oscillator completeness(d), the eigenvalues are , , so the smallest is : the ground energy is , equal to for , and the increment of by one raises the energy by .
[(b) ground eigenfunction] By [F2], . Using [F3], , and by [F4] the coefficient of vanishes while the constant term is ; hence pointwise, in agreement with from [F1].
[(d) minimality] By [F1] the spectrum is the closed discrete set , whose infimum is its least element ; no smaller value belongs to the spectrum.
Poisson number distribution
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be the Hermite family of , the number operator of Closed ladder domains, and for let be the coherent vector of Coherent-state convergence. Define
Then:
(a) is a probability distribution on : and ;
(b) ;
(c) ;
(d) the distribution is the Poisson distribution with parameter , and it is nontrivial for every : for all .
Facts & Assumptions
Given: the coherent vector with coefficients in the orthonormal family ; the numbers .
and with ; ; for every (Coherent-state convergence(a),(b),(e), Hermite orthogonality(a)).
For , and the series converges absolutely (The complex exponential by its power series, The complex exponential series converges absolutely for every complex argument).
For an orthonormal family, and, for , ; these are the coefficient formulas of the diagonal operator on the orthonormal family (Coherent-state convergence and The space as the quotient by null functions, Complex Lp classes and Euclidean test-function conventions).
Verification
[(a) probability distribution] , and by [F2].
[(b) mean] By [F3] and [F1], .
[(c) variance] Expanding and using [F3], . With , the three series are , and , obtained from the absolutely convergent exponential series by reindexing ( and ); multiplying by gives .
[(d) Poisson form] By (a)-(c) the distribution has total mass , mean and variance , and its weights are , which is the Poisson distribution with parameter ; if then and for every , so no outcome is excluded.
Formal nonnormalizable solution
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let (Hermite recurrence(a)) and define
Then:
(a) is with , and is and solves the ground-state eigenvalue equation
which is the equation satisfied by (Hermite orthogonality(b));
(b) the Wronskian is constant and nonzero,
so and are linearly independent solutions;
(c) : for one has , which is not integrable, so ;
(d) every function (with complex smoothness and derivatives understood componentwise as in Complex Lp classes and Euclidean test-function conventions) that belongs to and solves is a constant multiple of : the quantity is constant for such ; if this constant is nonzero then for some constants with , which satisfies for some and all sufficiently large , and is not in ; hence the constant is zero and is constant.
Thus is the classical formal second solution of the ground-state equation, and its failure to be square-integrable is what forces the eigenfunction to be the Gaussian.
Facts & Assumptions
Given: , , , and, in part (d), a componentwise function with .
and , so ; everywhere (Hermite recurrence(a),(d), Hermite orthogonality(b), Sums, scalar multiples, products and quotients: , , , and when , The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , The exponential function is smooth and , The exponential is positive and satisfies ).
uses oriented limits (The integral with oriented limits: and ). For each , choose and and put on . Oriented additivity gives on this interval, and the first FTC applied to the continuous integrand gives (For : is integrable on if and only if it is integrable on and on , and then ; with the oriented form for arbitrary , The first fundamental theorem: if is integrable on and continuous at , then ; in particular a continuous has as a primitive); hence . For , by strict increase and the defining series at zero (The exponential function is strictly increasing, The complex exponential by its power series), so for .
For every real , and (The exponential is positive and satisfies ); the real exponential is strictly increasing (The exponential function is strictly increasing). The complex exponential extends the real one and satisfies for all (, and the complex exponential extends the real exponential).
If is differentiable with integrable derivative on , then (The second fundamental theorem: if is differentiable on with and is integrable, then ). If a nonnegative measurable satisfies on for some real , then for every integer , ; monotonicity of the nonnegative integral and the identity for indicators (from the simple-integral definition and its agreement with the nonnegative integral) give , so is not integrable (The nonnegative Lebesgue integral, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions, Monotonicity and nonnegative homogeneity of the nonnegative integral, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
For a complex-valued function, means its real and imaginary parts are , with derivatives taken componentwise (Complex Lp classes and Euclidean test-function conventions).
Verification
[(a) the formal solution] By [F2], with , so is with, using the product rule and [F1], and because the terms cancel. Since by [F1], the equation is exactly the ground-state eigenvalue equation.
[(c) nonintegrability] For , because on the interval and the exponential is increasing by [F5]. Hence for ; the lower bound exceeds for , so [F3] implies . Hence .
[(b) the Wronskian] Using from [F1] and the first formula of step 1.1, , a nonzero constant; hence are linearly independent (if , applying gives , hence , and then because ).
[(d) all complex solutions are multiples of ] Let be componentwise by [F4] and solve . Put . Applying the real product rule to the real and imaginary parts gives using [F1]. Applying [F3] to the real and imaginary parts on any finite interval gives , so is constant. Since on all of , , and is continuous; applying [F3] separately to the real and imaginary parts and integrating from to gives for . If , choose so large that for all ; such exists by step 1.2. The reverse triangle inequality gives , hence for , by the lower bound on , which tends to ; hence on some half-line , and [F3] gives . Therefore if then and .
Sources
- MIT 8.05 Quantum Physics II (Fall 2013), Chapter 6 'Quantum Dynamics', §1 pp. 1-9 (zero point energy and level spacing)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, §3.1 pp. 37-41 (ground state and the length scale)
- MIT 8.05 Quantum Physics II (Fall 2013), Chapter 6 'Quantum Dynamics', §4.4 pp. 33-36 (coherent states in the energy basis and the Poisson distribution)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, §3.1 pp. 37-41 (number basis of the oscillator)
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, §8.3 pp. 177-179 (ground state equation and its unique normalized solution)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, §3.1 pp. 37-41 (first-order equation for the ground state and uniqueness of its solution)