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Finite-regulator entropy mathematics
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- 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
- Metric Spaces
- 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
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Properties of the Integral and the Working FTC
- Pure and Mixed States, Ensembles, and Schmidt Decomposition
- Quantum Information Measures
- Registers, Tensor Products, and Partial Trace
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Splitting Fields
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Logarithm and General Powers
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Finite-regulator outside density and entropy
Definition
Let and be nonzero finite-dimensional complex inner-product spaces, and let be a density operator on . Choose orthonormal bases and , and use the ordered product basis , with the index first. The outside density is the linear map whose matrix entries in are
Fix as a real scale. If are the eigenvalues of counted with multiplicity, define
where is the natural logarithm and . The finite matrix argument below proves that is a density operator and that the displayed endomorphism is basis-independent, so is a finite real number independent of the chosen bases. In this mathematical definition is only a positive scalar; no physical units or model are asserted.
Definition references
Linear map between vector spaces over the same field
Coordinate columns and matrices of linear maps relative to ordered bases
Ordered tensor registers, their inner product, and wire permutations
Non-negative and positive operators
The basis-independent trace of an endomorphism of a finite-dimensional vector space
Finite-dimensional von Neumann entropy
Watrous, The Theory of Quantum Information, Chapter 2, section 2.1.3
Watrous, The Theory of Quantum Information, Chapter 5, section 5.2.1
Facts & Assumptions
Given: Nonzero finite-dimensional complex inner-product spaces ; a density operator on their ordered tensor product; orthonormal bases of each factor; and a fixed real .
Density operator: on a nonzero finite-dimensional complex inner-product space, a density operator is a non-negative endomorphism of trace one.
Non-negative and positive operators: a non-negative operator is self-adjoint and has non-negative quadratic form on every vector.
Ordered tensor registers, their inner product, and wire permutations: the factor order is retained, the ordered product of the chosen orthonormal factor bases is an orthonormal basis of , and the tensor-product inner product on elementary tensors is the product of the factor inner products; that convention is linear in the first argument.
Linear map between vector spaces over the same field: a linear map is a function between vector spaces over the same field that preserves linear combinations.
Coordinate columns and matrices of linear maps relative to ordered bases: the column for an input basis vector is the coordinate column of its image in the output basis.
A finite list is an ordered basis if and only if every equals for exactly one ; those scalars are the coordinates of in that ordered basis: coordinates in a finite ordered basis are unique.
The trace as the sum of the diagonal entries defines matrix trace as the sum of diagonal entries; The basis-independent trace of an endomorphism of a finite-dimensional vector space defines endomorphism trace by a matrix in any ordered basis and establishes basis-independence.
Finite-dimensional von Neumann entropy: for a finite density operator, entropy is the finite spectral sum , with zero-eigenvalue contribution and natural logarithms.
A non-negative operator is equivalently self-adjoint with nonnegative eigenvalues, a positive semidefinite matrix in an orthonormal basis, or an operator of the form S^*S: a non-negative endomorphism of a finite-dimensional complex inner-product space has an orthonormal eigenbasis with nonnegative real eigenvalues.
Proof
For each basis vector , prescribe . The product basis in [F3] supplies the matrix entries of , and [F4]–[F6] give a unique linear extension from the prescribed images; its matrix is exactly the displayed formula.
Since is self-adjoint by [F1]–[F2], its matrix satisfies , so is self-adjoint. For every , expansion in gives by [F2]–[F3]. Its trace is by [F1] and [F7]; hence is a density operator by [F1].
For every endomorphism of , define on the product basis by ; [F3]–[F6] give its unique linear extension. For arbitrary , expansion in the chosen bases shows this map sends to , so it is independent of those bases. Finite matrix multiplication gives . The right side is therefore basis-independent. If a second choice produced , then for all ; taking to be the matrix unit with sole nonzero entry in row , column gives , so every entry of the difference is zero. Thus the endomorphism is basis-independent.
By [F9], has an orthonormal eigenbasis with nonnegative real eigenvalues; [F7] and step 1.2 show their sum is , so each lies in . The finite spectral sum in [F8] is therefore real, with zero eigenvalues contributing by convention. Its eigenvalue multiset is intrinsic to the endomorphism, and step 1.3 proves that endomorphism is basis-independent; multiplying by the fixed real preserves finiteness and basis-independence.
Finite mode cutoffs can have unbounded entropy
Statement
Fix a real number . For each integer , let with its standard inner product and basis , and let with the standard product inner product and product basis. Identify the product basis of with that of . For the density operator , where is the identity matrix on this -dimensional space, the outside entropy is
which tends to as .
Statement references
Finite-regulator outside density and entropy
Ordered tensor registers, their inner product, and wire permutations
The natural logarithm as the inverse of the exponential function
The exponential is positive and satisfies
The exponential addition formula
The exponential function is strictly increasing
Every complete ordered field is Archimedean
Watrous, The Theory of Quantum Information, Chapter 5, section 5.2.1
Facts & Assumptions
Given: A positive real , an integer , the one-dimensional input space , and the -factor output space .
Finite-regulator outside density and entropy: the outside density is obtained by summing the diagonal blocks over an orthonormal basis of the input factor, and its entropy is times the natural-log spectral sum.
Density operator: a density operator on a nonzero finite-dimensional space is non-negative and has trace one.
The natural logarithm as the inverse of the exponential function: is the inverse of the real exponential on .
The exponential is positive and satisfies : for every real , and .
The real exponential function and the number by a power series: the real exponential is defined by its power series; at input , every positive-degree term vanishes and the zero-degree term is , so .
The exponential addition formula : for real .
The exponential function is strictly increasing: the real exponential is strictly increasing, hence injective.
In every complete ordered field , for each there is a natural number with (Every complete ordered field is Archimedean).
Ordered tensor registers, their inner product, and wire permutations: tensoring the standard basis in each factor gives the ordered product basis of , so its dimension is .
The library real numbers are the Cauchy-sequence quotient (The real numbers), and this real field has the least-upper-bound property, so it is a complete ordered field (The Cauchy-sequence reals have the least-upper-bound property).
Proof
The matrix is non-negative and has trace , so it is a density operator by [F2] and [F9]. Since the input factor is one-dimensional, the defining partial trace in [F1] has one summand and gives .
The spectrum of consists of copies of . For , by [F3]; if , [F6] gives . Induction yields for every . By [F4], , so [F3] and injectivity in [F7] give .
Substitution into [F1] gives . Also , because [F5] gives and [F7] is strictly increasing.
Let . For any real , [F10] makes a complete ordered field, so [F8] applied to supplies a natural number with . For every integer , step 2.1 gives , which is exactly convergence to .
Finite subtraction ambiguity
Statement
Let and be real sequences, and let . Here means that for every there is an integer such that for all . For every , the equally valid subtraction satisfies
Thus existence of a finite subtracted limit alone does not select its additive finite part; no particular divergence expansion or physical renormalization scheme is assumed.
Statement references
Facts & Assumptions
Given: Real sequences and , a finite real number , and in the epsilon definition stated above.
For every , some satisfies for all .
Proof
Fix any real and any . By [A1], choose so that for every .
For every , . Since and were arbitrary, the claimed limit is for every .
5 · Examples, experiments and counterexamples
None yet.
Sources
- John Watrous, The Theory of Quantum Information, Chapter 2, section 2.1.3
- John Watrous, The Theory of Quantum Information, Chapter 5, section 5.2.1
- John Preskill, Quantum Shannon Theory, Chapter 2, section 2.3
- John Preskill, Quantum Shannon Theory, Chapter 10, section 10.2
- MIT OpenCourseWare 18.100B Real Analysis, Spring 2025 full lecture notes, Lecture 3, sequence convergence definition