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Cm Math Fluid
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
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Connectedness
- 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
- Dirichlet Kernel Localisation and Pointwise Fourier Convergence
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Fejer and Poisson Summability of Fourier Series
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- 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
- 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
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- 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
- 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
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Analytic Hahn Banach Theorem
- 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 Real Gamma and Beta Functions
- 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
- Uniform Spaces: the Three Definitions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
2 · Summary
The fluid-analysis layer of the non-relativistic classical mechanics mathematics
collection, all of it mathematics: the Fourier-coefficient Sobolev scale on the
flat three-torus, the Leray projection, and the local well-posedness of the
periodic incompressible Euler and constant-viscosity equations in the smooth
divergence-free class. Every item carries domain: mathematics and depends only
on mathematical suppliers; nothing here asserts that the model equations
describe any physical fluid, and the empirical scope stays on the consuming
classical-mechanics pages.
The analytic setting is fixed by Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, which defines the normalized torus measure, the characters , the weights , the full real-order spaces (negative orders as weighted coefficient completions), the operators , the divergence-free subspaces and the Leray projection . On it rest Lattice ball and shell counts and weight sums on the frequency lattice (the lattice shell counts and the weight sums that supply the constants of the whole page) and Riemann integration of continuous curves in a complete normed space, with the fundamental theorem of calculus and coefficient functionals (Riemann integration and the fundamental theorem for curves in the complete spaces , which is the tool that turns integral identities into time derivatives). Sobolev embedding on the torus: for , with continuous representatives proves the embedding for and the uniqueness of continuous representatives, and Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus supplies the discrete Young inequality, the product bound for and the transport product bound .
The nonlinear core is The transport term is orthogonal to itself and the tame commutator estimate : the transport term is orthogonal to itself and the commutator is bounded by . The Galerkin scheme of The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus turns the equation into a finite system of ordinary differential equations on the truncated coefficient space, with explicit invariance, local Lipschitz and maximal-solution statements; The higher-order energy inequality and a common Galerkin lifespan with integrates the energy inequality to obtain the common lifespan for (and for ), with , and Finite initial higher Sobolev norms give uniform Galerkin bounds on the common base interval extends the bounds to higher norms whose initial values are finite on that same interval, uniformly in .
Compactness and the limit are Diagonal extraction of a converging Fourier subsequence from high-norm bounds and the tail estimate (diagonal extraction of a subsequence converging in every , with the tail estimate controlling the remaining frequencies) and A strong solution of the projected periodic equation with all Sobolev norms continuous in time is (a strong solution with all Sobolev norms continuous in time is ). Together they yield Local smooth solutions of the periodic incompressible Euler and constant-viscosity equations on : for smooth divergence-free data on , an integer and , a smooth solution exists on with depending only on , satisfies the projected equation in every and obeys the uniform bounds. The pressure-reconstruction item is Reconstruction of the periodic pressure from the velocity: and , which recovers the mean-zero pressure and the primitive-variable equation with . Uniqueness of smooth periodic solutions and continuous dependence in on the common local interval proves uniqueness among smooth solutions on the common interval and the Hölder- dependence on the data, and Scope of the local periodic result: what is proved and what is not records exactly what is and is not claimed, including the distinction between this local unforced periodic theorem and the dated 2026 CMI announcement concerning the Euclidean Navier-Stokes problem; it makes no unverified transfer or blanket current open-status claim.
The page is the mathematical supplier of the periodic incompressible models for the classical-mechanics track; its physical postulates, units, constitutive readings and empirical qualifications belong to the consuming physics pages and are never asserted here.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), which is used by the imported Fourier-basis theorem quoted below.
The three-torus and its measure. Let be the one-dimensional torus with its quotient topology and its normalized Haar integral (The one-dimensional torus and its normalized Haar integral); is compact Hausdorff (Finite tori are compact Hausdorff spaces separated by characters). Put with the finite product topology. Let be the product measure on the Borel -algebra of (The product measure of two sigma-finite measure spaces, Lebesgue measurable sets, the family , and the restricted set function ); being a product of probability measures it is a probability measure. For a vector and define the character where each is inserted through any real representative and is the complex exponential (Fourier coefficients and trigonometric polynomials on the torus); the definition does not depend on the representatives. Then , , and .
Function spaces. Write for the real Hilbert space of (equivalence classes of) real Borel vector fields with , inner product and norm ; here is the Euclidean inner product of (Complex Lp classes and Euclidean test-function conventions). Similarly denotes the integrable complex vector fields.
Fourier coefficients. For and define The integral depends only on the class of . A field is real almost everywhere if and only if for every ; the forward direction uses , and the reverse uses Fourier uniqueness, proved below. On the circle this uniqueness follows from Fejer means converge in L^p for 1 <= p < infinity with : zero coefficients give zero Fejer means, whose limit is the function. To pass to for , use Fubini's theorem for L^1 functions on a sigma-finite product: for fixed , is in and all its coefficients vanish. Hence almost everywhere. The countable union of the exceptional sets over is null. For every remaining , the section in has all coefficients zero, so induction in makes it zero almost everywhere. Fubini then makes almost everywhere on . Apply this uniqueness to to obtain the reverse real-valuedness implication. For (finite measure) the coefficient map is the one of the imported theorem, which states: is an orthonormal basis of the complex Hilbert space , the finite-subset-net expansion and the Parseval identities hold, and is a surjective linear isometry of onto (The Fourier basis and Parseval's identity on the finite torus); the last statement applied componentwise gives for real .
Weights. For set so that for and for all .
The coefficient space and . For let be the complex Hilbert space of all with and let . The set is closed in and is a real-linear subspace; on it the Hermitian pairing is real valued, because the substitution shows that it equals its own conjugate. By the imported theorem the coefficient map restricts to a bijection of the set of real classes of onto . For define For define to be the completion of the real trigonometric polynomials in the same weighted coefficient norm, equivalently the space of formal real coefficient families . For an element of this completion means its coefficient, not an integral of an assumed function. The embedding of into these negative-order spaces is its coefficient map. Truncation makes finite families dense, so this completion is all of , not merely the coefficient families of fields. Consequently each is a real Hilbert space isometric to through , and . If then and . The trigonometric polynomials are the fields with finite and (equivalently, real coefficient families of finite support); they belong to every , and the finitely supported families are dense in each (truncate a family to and let ), so trigonometric polynomials are dense in every .
Scalar spaces. For define to consist of families with , with pairing ; its real subspace is specified by . For , consists of real scalar classes with this weighted coefficient norm; for it is the completion of real scalar trigonometric polynomials, identified with the real coefficient subspace. Scalar Fourier coefficients are when , and otherwise denote the completion coordinates. Parseval and truncation give the scalar Hilbert-space and density assertions exactly as above. A vector belongs to exactly when each of its three scalar components belongs to , with . Below the value type distinguishes scalar and vector ; , and have the same multipliers for scalars, maps scalar to vector spaces, and maps vector to scalar spaces.
The operators , , , and . For and define by the coefficient rule then is a linear isometric isomorphism of onto , , , and is the inverse of . For and define by for define by ; for a scalar field with coefficients in the scalar spaces just defined, define for by ; and for define . These operators satisfy , , and for every integer , , the identity following coefficientwise from . On trigonometric polynomials all four operators agree with the classical coordinatewise derivatives and divergence computed from the smooth functions , by the classical rules ; this is the convention in which the notation is used below.
Divergence-free fields and the Leray projection. For put this is a closed real-linear subspace of , and in for . For let be the orthogonal projection onto the hyperplane , and set . Define the Leray projection by Then: maps linearly into , and ; ; is self-adjoint on , i.e. for all ; commutes with each , with each , and with wherever these are defined; and the identity holds in for . Moreover every has the orthogonal decomposition Here zero mean means zero coefficient at (the usual integral when the field is integrable); orthogonality for all real orders is in the pairing. The scalar element is determined by and for ; here because for , and . In particular for every with , so is the orthogonal projection of onto . On smooth fields the decomposition derived above from the Fourier coefficients is called the Hodge decomposition of the torus; the operator is the Leray projection of the fluid literature.
Time-dependent fields. For an interval with and , let denote the set of continuous maps from to the metric space , with . For a map of class we mean that every mixed partial derivative exists and is continuous on , with one-sided time derivatives at .
Remarks
- The whole definition is built on the imported torus Fourier theory, so the countable-choice assumption and the identification of classes with weighted coefficient families are inherited from The Fourier basis and Parseval's identity on the finite torus; no other choice principle is used.
- The weights are normalized so that differentiation costs one weight: the symbol of is with , while itself is the symbol of and is the symbol of .
- The definition of is the Fourier-coefficient definition used in the fluid literature on the torus; the equivalent description by weak derivatives is not used anywhere below, so no extension theory is presupposed.
Lattice ball and shell counts and weight sums on the frequency lattice
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), as the Lebesgue-measure statements quoted below do. Let for (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
- Ball count. For every ,
- Shell count. There is an absolute constant such that for every integer the proof exhibits .
- Weight sums. If then ; more generally, if then . In particular whenever .
- bounds. If , then for every family and if , then with ,
- Truncation tails. For every integer , every real and every family , both sides allowed to be ; in particular, for the -weighted tail beyond is at most .
Facts & Assumptions
Given: The weight family of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, with , and for .
A measure is countably additive on pairwise disjoint measurable sets, hence finitely additive: if are disjoint measurable sets then , and monotonicity follows by applying additivity to the disjoint sequence (Measures on sigma-algebras).
The half-open box is Lebesgue measurable of measure (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
The closed ball of radius in has volume , which is the value of The volume of a radius- closed -ball is .
For a family the nonnegative extended sum is the supremum of the finite partial sums, and the finite sums are the usual ones (Series in the nonnegative extended real line); in particular a nonnegative series converges exactly when its finite partial sums are bounded.
For reals and , (The Cauchy-Schwarz inequality for finite sums).
If is nonincreasing and nonnegative, then converges if and only if the integrals are bounded (The integral test: for nonincreasing on , converges if and only if the sequence is bounded, with ); this yields the convergence of for .
Proof
Given: The weight family and the facts [F1]-[F7].
For let be the half-open unit box centred at . Distinct are pairwise disjoint: if then for some , and the half-open intervals and are disjoint. Each is measurable of measure by [F2], and whenever , because for one has .
Let . The union is a finite disjoint union of measurable sets, so by induction on the number of boxes and [F1] one has . Since by step 1.1 and the closed ball is measurable, monotonicity in [F1] gives by [F4]; this is claim 1.
Put . The disjoint unit boxes for lie in the annulus , since . For every , their union is contained in the closed outer ball of radius minus the closed inner ball of radius . Its measure is at most by [F1] and [F4]; letting bounds the union by , without needing a separate sphere-measure assertion. By finite additivity each box has volume one, so the shell count is bounded by this volume. Since and , the difference of cubes is at most . Thus the shell count is at most , preserving the stated .
Write as a nonnegative extended sum and split it into the mode and the shells of index . Using claim 2, on the -th shell and , we get the finite-partial-sum bound for ; since there is a constant with for every . If then , so converges by [F7]; by [F5] the finite partial sums of are bounded, so . Replacing by gives the general weight sum whenever , and with and this gives , since ; this is claim 3.
For claim 4 fix a family and a finite . Cauchy-Schwarz [F6] applied to the lists and , , gives , with finite by claim 3; taking the supremum over finite by [F5] gives the first bound. The second bound is the same computation with the lists and , whose first factor is by claim 3 with and .
For claim 5 let , so and hence by the given inequality ; therefore for every such . Summing this pointwise inequality over the finite sets and taking the supremum in by [F5] gives claim 5; for the right-hand side is at most .
Remarks
- The count in claim 1 is the standard packing of unit half-open cubes into the ball of radius ; it is sharp up to the constant, which is all the later estimates use.
- Claim 3 and claim 4 are the only place where the threshold for the torus dimension enters: the lattice sum converges exactly when , and the bound for coefficients is what forces Sobolev fields of order to have absolutely convergent Fourier series, and hence continuous representatives.
- The tail inequality in claim 5 is the quantitative form of the strong convergence of the Fourier truncations: it shows that the truncation error in is bounded by the -norm divided by the first omitted frequency.
Riemann integration of continuous curves in a complete normed space, with the fundamental theorem of calculus and coefficient functionals
Statement
Let be a real vector space (Vector space over a field) with a norm (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms) whose metric is complete (Complete metric space: every Cauchy sequence converges in the space). Let be reals (Intervals of : the nine order-convex forms, nondegeneracy, and length) and let be continuous (Continuity of a map between metric spaces, at a point and globally, in the - form). For endpoints , set and, when , set ; for use the Riemann-sum construction below on the restriction to . Then:
- Integral. For every sequence of tagged partitions of whose mesh tends to , the Riemann sums converge in ; the limit, written , is independent of the sequence, and
- Fundamental theorem. The curve , , is well defined, satisfies for , and is differentiable with on in the one-sided sense at the endpoints.
- Linearity. For continuous and reals : ; and for , .
- Bounded linear images. If is a normed real vector space and is linear with for some and all , then is continuous and ; in particular, for every real-linear functional with , .
Facts & Assumptions
Given: A complete normed real vector space , reals , a continuous curve .
A normed space is a real vector space with a norm, and is a metric; scalar multiplication and addition are continuous for that metric, and is -Lipschitz hence continuous (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, The reverse triangle inequality in a normed space).
A metric space is complete when every Cauchy sequence converges (Complete metric space: every Cauchy sequence converges in the space, Cauchy sequence in a metric space).
is compact and Hausdorff (Heine-Borel by bisection: every closed bounded interval is compact), and every continuous map from a nonempty compact Hausdorff space to a uniform space is uniformly continuous (Every continuous map from a nonempty compact Hausdorff space to a uniform space is uniformly continuous, Uniform continuity of a map of metric spaces: one serving every point).
A sequence converges to whenever (Continuity of a map between metric spaces, at a point and globally, in the - form).
Proof
Given: The complete normed space and the continuous curve .
Since is compact and metric, hence a uniform space, [F3] provides a modulus: for every there is such that whenever . Define ; then as and is nondecreasing.
Let be a tagged partition with tags and Riemann sum , and let be a refinement of with any tags. Grouping the terms of by the interval of that contains them, , so by [F1].
Let and be two sequences of tagged partitions with meshes tending to . For each let be a common refinement of and , so . By step 2.1 applied twice, . For two indices the same common-refinement estimate gives as both indices tend to infinity, so is Cauchy, and taking arbitrary sequences shows that any two such limits coincide; by completeness [F2] the limit exists and is independent of the sequence. Moreover for every by the triangle inequality, and the norm is continuous [F1], so the same bound holds for the limit. This is claim 1.
For the integral over equals the sum of those over and : if or this is the zero-integral convention, and otherwise partitions of may be refined to contain , and for such a partition the Riemann sum splits into the two sums; both sides converge and limits are additive because addition in is continuous [F1]. Defining , this additivity gives for , and claim 1 applied on gives .
Linearity: for fixed and any tagged partition , the Riemann sums satisfy by finite distributivity in the vector space [F1]; letting the mesh tend to and using continuity of addition and scalar multiplication [F1] gives . This completes claim 3.
Differentiability: for and , step 4.1 gives , and claim 1 gives as by continuity [F4]; for with , oriented additivity gives the same quotient estimate with supremum over , so with the usual one-sided interpretation at and . Together with step 4.1 this is claim 2.
Bounded linear images: is continuous since is and is Lipschitz [F1]; for each tagged partition by linearity, and is continuous, so passing to the limit in step 3.1 gives . Applying this to a bounded linear functional (with in the role of ) gives the last clause of claim 4.
Remarks
The statement is deliberately quantitative: the integral is defined by a limit of Riemann sums for partitions of mesh tending to zero, which is the only integration of curves needed for the Galerkin argument below. No Bochner measurability theory, no Radon-Nikodym theorem and no dual-space completeness is presupposed.
Sobolev embedding on the torus: for , with continuous representatives
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), as the Fourier-basis and measure-theoretic suppliers below do. Work with either the scalar spaces or the vector spaces and the weight family of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection. In the scalar case replace by and vector norms by absolute values throughout. Let and .
- Continuous representative. The coefficient series converges absolutely, with as in Lattice ball and shell counts and weight sums on the frequency lattice, and converges uniformly on to a continuous field with the same Fourier coefficients, for all , which satisfies almost everywhere and
- Uniqueness of the continuous representative. In the scalar case replace by in the following formulas. If satisfy almost everywhere, then everywhere. Consequently the field is the only continuous field equal to almost everywhere, and if has a continuous representative then ; in particular for , .
- Higher order. If is an integer and , then the canonical representative , and its classical derivatives are the corresponding uniform series the series being absolutely and uniformly convergent, and
- Derivative bound for differentiable fields. If , and is continuous for some , then has continuous representative itself and
Facts & Assumptions
Given: The Axiom of Countable Choice, a real number , and a field with coefficient family .
For every and every family with finite weighted norm, ; and if is a multi-index with , then for a finite constant , by finite Cauchy–Schwarz followed by the supremum over finite frequency sets: , with finite first factor by the general weight-sum bound (Lattice ball and shell counts and weight sums on the frequency lattice).
If a sequence of continuous complex-valued functions on a compact space is bounded by a summable sequence of constants, then its series converges absolutely and uniformly, and the sum is continuous. The real M-test applies to real and imaginary coordinates (The Weierstrass M-test gives absolute pointwise convergence and uniform convergence of a function series, A series of real-valued functions and its pointwise and uniform convergence through its partial sums). The uniform-limit continuity argument of The uniform limit of continuous real-valued functions on a metric space is continuous also holds on this topological torus: for choose a partial sum with uniform error , then a neighborhood on which its variation is , and the limit varies by there.
The finite-subset-net partial sums of the Fourier expansion of converge to in , and (The Fourier basis and Parseval's identity on the finite torus); a field is determined up to equality almost everywhere by its coefficient family.
If is a finite measure space, pointwise almost everywhere and almost everywhere for one real , then (Bounded convergence on a finite measure space).
if and only if almost everywhere, for measurable (A nonnegative measurable function has integral exactly when it vanishes almost everywhere); if then and , for the integral over a measurable set (Monotonicity and nonnegative homogeneity of the nonnegative integral, Integral over a measurable subset).
The one-dimensional torus carries the quotient topology of and the measure (The one-dimensional torus and its normalized Haar integral, The quotient topology of a surjection, quotient maps, saturated sets, and the quotient of a space by an equivalence relation with its canonical projection); carries the product topology, for which a set is open exactly when its preimage under the product quotient map is open in (The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space). The product measure on is the threefold product of (The product measure of two sigma-finite measure spaces), and for a box in the Lebesgue measure is the product of the side lengths, so a nonempty product of nondegenerate intervals has positive measure (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
For smooth curves in , the integral of the derivative equals the endpoint difference (If is differentiable with integrable then ; and a bounded derivative makes Lipschitz, claim 1). The tagged-sum integral of a continuous complete-normed-space curve satisfies and linearity (Riemann integration of continuous curves in a complete normed space, with the fundamental theorem of calculus and coefficient functionals, claims 1 and 3).
Proof
Given: Countable choice, and with coefficient family .
By [F1] with , . For each the partial sum is continuous with . Applying [F2] componentwise to the series with dominating constants gives: converges uniformly on to a continuous field , and .
Nonempty open sets have positive measure. For nonempty open , its inverse image under the surjective quotient map is nonempty open by [F6]. Choose a point in it with no integer coordinate: such points meet every open box, because each coordinate interval contains a noninteger real. Translate by an integer vector to ; periodicity leaves . Openness gives a sufficiently small nonempty box about contained in . Its volume is positive, so by [F5] and [F6].
For each and every , the integrals equal by orthonormality of the characters; the sequence is uniformly bounded by and converges pointwise (indeed uniformly) to , so bounded convergence [F4] gives for every . Hence and have the same coefficient family; by [F3] they agree in , so almost everywhere.
A continuous field vanishing almost everywhere is zero. Let be a continuous scalar or vector field with almost everywhere. Then almost everywhere, so by [F5]. If for some , continuity (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement) gives a nonempty open neighborhood of on which ; that neighborhood is an open set of positive measure by step 1.2, whence by monotonicity [F5], a contradiction. Hence . Applying this to the difference of two continuous fields proves that fields equal almost everywhere are equal, proving claim 2.
Let and . For each multi-index with the family has -norm at most (because ), and , so by [F1] the series converges absolutely and uniformly with by the argument of step 1.1.
Termwise differentiation. We prove for every by induction on . Fix an index and a multi-index with , and assume . Put ; then uniformly by step 2.3, and uniformly. For fixed and small with , the componentwise fundamental theorem (If is differentiable with integrable then ; and a bounded derivative makes Lipschitz, claim 1), applied to the smooth real curve on , gives for each ; for continuous coordinate functions its integral agrees with the tagged-sum integral (upper/lower sums squeeze tagged sums by uniform continuity). The norm bound in Riemann integration of continuous curves in a complete normed space, with the fundamental theorem of calculus and coefficient functionals, claim 1, therefore allows passage to the uniform limit, giving , and continuity of gives as . Hence , which is the induction step; the base is the definition of , so all claimed identities hold and with the displayed sup bounds. This proves claim 3.
Claim 4: for with continuous, and the continuous field produced by steps 2.1-2.2 satisfies almost everywhere, hence everywhere by step 2.2; therefore , because by Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection.
Remarks
- Claim 2 is the only measure-theoretic input: it says that a continuous field is determined by its values almost everywhere, which is exactly what lets the Fourier representative and a smooth field be identified pointwise.
- Claims 1 and 3 recover, with explicit constants , the standard fact that for consists of continuous fields, with continuous derivatives once .
- The sup bound in claim 4 is the form used later for , : it avoids any elliptic regularity or bounded-domain Sobolev machinery.
Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), used through the two lattice and embedding suppliers quoted below. Use the scalar and vector spaces and weights of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection. For scalar put equal to ordinary multiplication; for scalar and vector put ; for vectors put (componentwise product). These products extend complex-bilinearly to coefficients and satisfy , with Euclidean norm for vectors and absolute value for scalars. The output is scalar only for two scalar inputs, and vector otherwise. The convolution for the same typed products is whenever the sum is absolutely convergent. In claim 3, are vector fields and denotes the explicitly displayed scalar-component action, not componentwise vector multiplication.
- Discrete Young. Let , and define . The sum converges absolutely, and
- Sobolev product. Let and let each belong to its scalar or vector . Then the pointwise product of the continuous representatives (Sobolev embedding on the torus: for , with continuous representatives) belongs to , and with of Lattice ball and shell counts and weight sums on the frequency lattice,
- Transport product. Let , and . Then belongs to and
Facts & Assumptions
Given: The weight family and the operators of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, with and ; the coefficient bound and the continuous representatives of Lattice ball and shell counts and weight sums on the frequency lattice and Sobolev embedding on the torus: for , with continuous representatives.
Let . Then the iterated nonnegative extended sums agree with the supremum over finite rectangles, directly from the definition of the nonnegative extended sum as the supremum of finite partial sums and the monotonicity of suprema (Series in the nonnegative extended real line).
For finitely many nonnegative reals , (The Cauchy-Schwarz inequality for finite sums); and for reals.
If then implies (Lattice ball and shell counts and weight sums on the frequency lattice, claims 3 and 4).
Uniformly bounded pointwise-convergent functions on the finite-measure torus have convergent integrals (Bounded convergence on a finite measure space); Fourier coefficient integrals are such integrals after multiplication by the bounded character.
If , take the continuous representatives of scalar or vector ; the product is continuous, and its Fourier coefficients are the convolution , the sum converging absolutely: this is the coefficient identification of Sobolev embedding on the torus: for , with continuous representatives applied to the continuous field , combined with the absolute convergence from [F3] and termwise integration of the uniformly convergent product series [F4].
Proof
Given: The weight family, the two suppliers, and the facts [F1]-[F5].
Let be nonnegative with , . For each , Cauchy-Schwarz [F2] gives . Summing over and reindexing by [F1] (all terms nonnegative) yields , because for each fixed . Hence .
For with , define the nonnegative families , , , . By the subadditivity and convexity of for , one has ; multiplying the coefficient identity of [F5] by and applying the triangle inequality therefore gives, for every , the coefficient bound .
For complex , because , so the convolution is absolutely convergent. The same bound holds: pointwise , so by step 1.1 and the triangle inequality in . This is claim 1.
Applying Young to the two convolutions of step 1.2, using the change of variable to commute the factors in the first, gives . Thus , , while [F3] gives and . Therefore ; the finite weighted coefficient norm also proves . This is claim 2.
The coefficient estimate and steps 1.2–3.1 apply to each of the typed products, since their coefficient norm is at most the product of the input norms; thus claim 2 covers scalar-scalar, scalar-vector and componentwise vector-vector products with the same constant. For claim 3 write . Since , each with , and each component of lies in with . Claim 2 applied to the pair gives ; summing the three components with the triangle inequality gives claim 3.
Remarks
- The constant is not optimized; only finiteness and the exact dependence on matter below.
- Claim 2 is the torus version of the Banach-algebra property of for , and claim 3 is the estimate that bounds the convective term by one extra derivative.
The transport term is orthogonal to itself and the tame commutator estimate
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), used through the lattice and embedding suppliers. Work with the operators , , the weight family and the divergence-free subspaces of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection.
- Vanishing transport integral. Let , let with , and let . Then and
- Tame commutator. Let and with . Then the field belongs to , and with of Lattice ball and shell counts and weight sums on the frequency lattice and ,
- Commutation identity for the energy estimate. If moreover and , then where .
Facts & Assumptions
Given: The weight family , the operators of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, and .
The lattice sum bound: and for (Lattice ball and shell counts and weight sums on the frequency lattice, claim 4).
Discrete Young: for (Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus, claim 1), and is a Banach algebra for in the sense of the product bound (Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus, claims 2 and 3).
is a real Hilbert space with weighted inner product , while the unweighted pairing used in the statement is the pairing, , and (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, The Fourier basis and Parseval's identity on the finite torus).
Define the truncation by for and zero otherwise. It preserves conjugate symmetry and , and . Thus divergence-free trigonometric polynomials are dense in the divergence-free subspace, and trigonometric polynomials are dense in (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection); for trigonometric polynomials one has and hence by bilinear extension of the character computation (The Fourier basis and Parseval's identity on the finite torus).
A continuous function on with satisfies (Sobolev embedding on the torus: for , with continuous representatives, claim 1).
Proof
Given: Countable choice, , divergence-free, and the facts [F1]-[F5].
For trigonometric polynomials with , integration by parts [F4] gives . The map is continuous on : indeed, by the embedding bound [F5] and [F3]; since is divergence-free and , in by [F4], the identity extends from polynomials to all , proving claim 1.
Weight comparison. Extend to by . Its gradient has norm at most , and for . Since here , the convexity inequality applies. Integrating the derivative of for gives .
Meaning and coefficients of the commutator. Put , the Fourier truncation, which converges to in and by [F4]. For polynomials the commutator has coefficients by finite convolution. The same series for general is absolutely convergent: the convolution bounds below apply also to the sum of absolute values, and each convolution of an family with an family is finite at each coordinate by [F2]. The two terms in the displayed commutator need not separately lie in . They are interpreted in : the first lies there because by the transport product bound [F2], and the second is since . Here is bounded by [F5], , and differentiation maps to coefficientwise because . Products and these derivatives are defined by limits of the truncated fields; uniformly and in , so the limits exist and agree with the stated products. Thus the difference is well defined in and its coefficients are the series just displayed.
For define , , and . Step 1.2 bounds by . Since , and ; [F1] gives and . Young [F2] therefore gives with the unchanged . The same calculation for the bilinear coefficient expression with different inputs bounds it by . Applying this to and shows convergence of the truncated commutators in . Parseval [F3] supplies their limit, which is the difference of step 2.1. This proves claim 2 without strengthening its hypothesis.
For claim 3, apply step 1.1 with : , so , using that and are self-adjoint and [F3].
Remarks
- Claim 3 is the algebraic heart of the higher-order energy estimate: the transport term contributes only through the commutator, while the plainly transported term is orthogonal to itself.
- The estimate in claim 2 is "tame" in that it costs one factor at the high order and one at the base order only; the constant grows with and with the lattice constants but is independent of .
The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), used through the Fourier-coefficient suppliers. Fix , a real viscosity parameter and a real exponent . Work in the notation of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection: with coefficients , weights , Leray projection , differential operators and divergence-free subspace .
Definitions. For a coefficient family let if and otherwise (\emph{Fourier truncation}); let be the space of real divergence-free trigonometric-polynomial fields of frequency at most , and define the Galerkin field
Then:
- is a finite-dimensional real-linear subspace of for every , restricted to the real divergence-free subspace is the orthogonal projection onto for the inner product and ; moreover maps into , and and for .
- Local Lipschitz property. For every there is such that whenever with ; the proof exhibits with and the product constant of Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus.
- Galerkin IVP. For every the initial value problem has a unique maximal solution with open interval ; if the maximal interval has finite right endpoint , then for every , and conversely if on for some with then the solution extends past . For arbitrary, and the corresponding solution is written .
- Basic bounds. Along the maximal solution: (a) for every real , where is the product constant of Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus at order ; (b) for every real , with and , (c) for every real and every .
Facts & Assumptions
Given: The finite support , the weight family with , and the operators of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection.
For a finitely supported family with one has for every real , and , because and on the support, where (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
For the product bounds and hold with (Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus, claims 2 and 3); denotes this constant at order .
is an orthogonal projection (self-adjoint, idempotent, norm nonincreasing) in every ; commutes with and ; ; and (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
A locally Lipschitz field on an open subset of has a unique local solution through every initial point (Picard-Lindelöf local existence and uniqueness for first-order systems), and every initial value problem satisfying the Picard-Lindelof hypotheses has a unique maximal solution whose domain is an open interval containing the initial time (Every Picard–Lindelöf initial value problem has one maximal solution on an open interval, Extensions, maximal solutions, maximal intervals, and global solutions).
Let be an ordered basis (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis) of the finite-dimensional real vector space and . Then is a topological isomorphism onto its span (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space), so there are constants with for every ; the same holds with in place of for every real , with constants depending on . Moreover for every (The Cauchy-Schwarz inequality for finite sums).
For a trigonometric polynomial on one has ; for divergence-free , the -th component satisfies , by the product rule and ; each scalar derivative has zero coefficient at (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, The Fourier basis and Parseval's identity on the finite torus).
for : the tail sum over is bounded by times the -weighted sum (Lattice ball and shell counts and weight sums on the frequency lattice, claim 5).
If has Fourier support in and then with , because on that support and (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
Proof
Given: , , the space , the field and the facts [F1]-[F8].
is a real-linear subspace of the coefficient space: the support condition and the two linear conditions , are preserved by sums and real multiples. It is spanned by and for and standard coordinate vectors : these are real divergence-free polynomials in , and applying to the ordinary finite Fourier expansion of any fixes . Order this finite spanning list, then process it in order, retaining a vector exactly when it is not in the span of the vectors already retained. Induction gives a linearly independent list spanning all processed vectors, hence an ordered basis after the final vector. Thus is finite-dimensional, and it is contained in for every because only finitely many coefficients are nonzero. The truncation is the orthogonal projection onto the support condition: it commutes with the weights , is idempotent and self-adjoint, and .
maps into : for , the field is a trigonometric polynomial with support in (a finite convolution of supports), and , and preserve finite support, reality and the divergence-free condition (for by [F3], for and coefficientwise), so . Moreover and , while each component of is a sum of scalar derivatives by [F6], each with zero coefficient at ; hence . Finally is the identity on , so for .
Local Lipschitz bound. For put . Then . By [F1], and ; by [F2], and likewise . Since and are norm nonincreasing [F3], , which is at most with whenever .
Derivative bounds. Part (a): for , by [F2] and [F3], . Part (b): let and , a trigonometric polynomial with support in (step 2.1); by [F8], , and by [F2] with [F1], ; since by [F1], adding the two terms gives (b). Part (c) is [F7]. This is claim 4.
The maximal solution. Fix an ordered basis of () and put , so that is well defined. Let . For put , so that by [F5], and step 3.1 gives , using [F5]. Hence is locally Lipschitz, and [F4] gives a unique maximal solution of , , with an open interval containing ; is the unique maximal solution of the -valued initial value problem , , and every other solution is a restriction of it.
Blow-up alternative. Let be the right endpoint of . If the asserted norm divergence fails, there are and times with ; then satisfies , so the points lie in the Euclidean ball of radius and, by step 4.1, is bounded by some and Lipschitz with constant on the ball of radius . The quantitative Picard-Lindelof theorem [F4] applied to on that ball therefore gives one fixed , depending only on (hence only on ), such that every initial value problem for with datum in the ball of radius has a solution on an interval of length ; restarting at extends , hence , beyond , contradicting maximality. Hence as ; for any other exponent the norms and are equivalent on the finite-dimensional space by [F5], so diverges as well. Conversely, if on , , for some , then [F5] transfers the bound to the exponent and the same restarting argument extends the solution past .
Claims 1-4 are established by steps 1.1, 2.1, 3.1, 4.1, 5.1 and 3.2; the identity for holds by definition of and [F3].
Remarks
- The ordered basis of step 4.1 is a bookkeeping device for the finite-dimensional ODE theory; the estimates use only the two-sided bound of [F5] and, for the blow-up alternative, the equivalence of the norms on the finite-dimensional space .
- The blow-up alternative is stated for the norm with because that is the norm in which the restarting argument is quantitative; the local Lipschitz bound is proved in the same norm.
The higher-order energy inequality and a common Galerkin lifespan with
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), used through the Fourier-coefficient suppliers. Fix , and a real , and let be the maximal solution of the Galerkin system of The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus with initial datum , where and .
- Energy inequality. For every real and every , where is the commutator constant of The transport term is orthogonal to itself and the tame commutator estimate (claim 2), and .
- Common lifespan. With one has and if then on . In particular the same interval length , depending only on and (and not on or on the finer profile of ), is a common interval of existence for all Galerkin approximations.
Facts & Assumptions
Given: The Galerkin solution of The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus (whose values are trigonometric polynomials, hence belong to every ), the operators , , , and the weights of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection.
is a real Hilbert space with weighted inner product and . Bare denotes the unweighted pairing, so for polynomials ; is self-adjoint and positive and ; (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
and are self-adjoint orthogonal projections on , norm nonincreasing, commuting with ; is the identity on and (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus).
Claims 1-3 of The transport term is orthogonal to itself and the tame commutator estimate : for divergence-free and ; ; and for divergence-free.
If is differentiable with integrable derivative then (The second fundamental theorem: if is differentiable on with and is integrable, then ), and if pointwise then (If on and both are integrable then ; and ).
Proof
Given: The Galerkin solution and facts [F1]-[F5].
Since is differentiable in with derivative and the squared norm is the quadratic form , the derivative of is , and . By [F2], is self-adjoint and the identity on , and is self-adjoint with (as is divergence-free); by [F1], . Hence with one has the identity .
By claim 3 and claim 2 of [F3], . Inserting this into step 1.1 gives the energy inequality of claim 1 for every , the case being the hypothesis of [F3] and .
Put and . Step 2.1 with gives , that is . For define ; then because and .
Since on any interval where is defined, the fundamental theorem [F5] and monotonicity of the integral give for , , as long as the right-hand side is positive; hence whenever the denominator is positive.
Letting in step 4.1 (with and ; the function is increasing while its denominator is positive) gives, for with and , the bound . In particular, for the time of the statement with , the denominator at is , so for ; if , the zero field solves the IVP with the same initial datum, so IVP uniqueness gives on the whole maximal interval.
The bound on precludes a finite maximal right endpoint : by the blow-up alternative of The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus (claim 3), would have to tend to as , contradicting the bound. Hence , that is, ; this proves claim 2.
Remarks
- The constant is the commutator constant of order ; the lifespan bound is therefore explicit in terms of the commutator estimate, with no hidden compactness.
- If then in , so the Galerkin solution is identically zero; the stated choice is a harmless convention to make the common-lifespan statement unconditional.
Diagonal extraction of a converging Fourier subsequence from high-norm bounds and the tail estimate
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let and , and for each let be a field-valued curve with the following properties:
(a) for every the coefficients of are supported in ; (b) for every real there is with ; (c) each is differentiable into for every and there are with .
Then there are a subsequence and a field for every , denoted , such that:
- in for every real (i.e. );
- for every ;
- is real for every and is divergence-free whenever every is divergence-free, and for every and every , the convergence being uniform in on every finite set of frequencies;
- if in addition in for every , then .
Facts & Assumptions
Given: The sequence with properties (a)-(c), the weights of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, and the coefficient convention .
For every finite the set of coefficient vectors , , is in bijection with ; a bounded sequence in has a convergent subsequence (For every bounded sequence in has a convergent subsequence).
For , and the coefficient functional satisfies , since . Thus is differentiable with derivative bounded by . For in , apply the real mean-value theorem (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ) to the scalar product of this six-real-coordinate curve with the unit vector in the direction of its endpoint difference (or use zero difference directly). This gives because . No continuity or integrability of the derivative is assumed for this argument (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
The tail estimate: for every and every , (Lattice ball and shell counts and weight sums on the frequency lattice, claim 5).
The dyadic time set is countable and dense in : it is the union over of the finite sets (Countable unions of at most countable sets, assuming , Finite, countably infinite, countable, uncountable), and for and one has for large and (For every in a complete ordered field there is a natural with , Integer part: for every real there is exactly one integer with ).
If a sequence of vectors in a finite-dimensional real normed space converges for each member of a finite set of coordinates, then it converges in the norm; the relations and are preserved by coefficientwise limits (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, For every bounded sequence in has a convergent subsequence).
Proof
Given: The sequence , the bounds and the facts [F1]-[F5].
Enumerate the countable set of pairs , , , using [F4]. Each real coordinate sequence of is bounded by (b). A bounded real sequence has a deterministically specified convergent subsequence: start with the integer least such that every value lies in ; repeatedly bisect the current closed interval and retain the left half if it contains infinitely many terms, otherwise the right half. At each stage select the least later index whose value belongs to the retained interval. The resulting subsequence is Cauchy because the interval lengths tend to zero, hence converges. Apply this specified rule successively to the six real coordinates of each vector and to each enumerated pair, nesting the infinite index sets. The diagonal index is the least member of the th retained index set larger than . For every fixed pair its tail is a subsequence of the corresponding retained sequence and hence converges. This supplies convergence on each finite frequency block at every dyadic time; no dependent selection principle is used.
For each and each the sequence is Cauchy: given , pick a dyadic time with where whenever (possible by the density in [F4]), and then large with ; by the equicontinuity estimate [F2] applied with , and likewise for , so the three terms sum to less than . Hence exists; moreover the convergence is uniform in on each finite frequency set, because the same finite -net of dyadic times can be chosen independently of and .
Define to be the coefficient family . For each and each finite , the uniform convergence of step 2.1 and the bound (b) give for every ; the tail beyond is bounded by by [F3] applied to the and passing to the limit in each coefficient. Given , choose with ; then for large , uniformly in : the finite part converges uniformly by step 2.1 and both tails are small by [F3]. This proves the convergence of claim 1 and, taking the supremum over finite in the bound, also claim 2 (with in place of ). To verify the claimed continuity, for each order hypothesis (c) at order makes every differentiable, hence continuous, into . Applying the uniform convergence just proved at order shows that is continuous into as a uniform limit. The norm bound at order follows directly by passing each finite weighted coefficient sum at that order to the limit in (b).
Realness is preserved under limits by [F5]; if the approximants are divergence-free, their equations pass to the limit as well, and the initial condition follows by applying the same convergence statement at ; this gives claims 3 and 4.
Remarks
- The proof chooses subsequences only countably often, which is why and not full choice is assumed. No Arzelà-Ascoli theorem is invoked; the compactness comes from the explicit equicontinuity in time and the finite-dimensional Bolzano-Weierstrass theorem in each finite coefficient block.
- The support condition (a) is not used in the extraction except through the fact that the bounds are uniform in ; it is the property that will make the extracted limit a solution of the truncated equations in the main theorem.
A strong solution of the projected periodic equation with all Sobolev norms continuous in time is
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , let , and let be a curve such that, in the notation of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection:
- for every real , is continuous into ;
- for every real , is differentiable into , with the right-hand side being an element of for every (which follows from the other hypotheses as below);
- is divergence-free and real for every .
Then the map belongs to (with one-sided time derivatives at the endpoints). For every integer and spatial multi-index , with , one has , where and, for integers , Thus for the identity uses differentiations of the equation for , while is the spatial derivative of itself.
Facts & Assumptions
Given: The curve satisfying hypotheses 1-3, the operators of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, and the product bounds of Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus.
If for all , then for every multi-index the map is continuous: choose and apply the embedding of Sobolev embedding on the torus: for , with continuous representatives to each time slice. In particular the norms and the pointwise values vary continuously.
If and with , then and are continuous into (respectively ), by claim 2 at order and claim 3 at order , because the product maps are continuous and is continuous (Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus, claims 2 and 3).
The product rule for a continuous bilinear map: if are normed real vector spaces, is continuous bilinear (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, Vector space over a field), and , are differentiable, then is differentiable with derivative : the difference quotient equals , which tends to the claimed value by continuity of .
If is differentiable into for every , then so are (into ) and (into ), with the expected derivatives, because these are bounded linear operators (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
If is continuous into for all , then is continuous into for all (bounded linear operator), with the same for and (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
Proof
Given: The curve with hypotheses 1-3 and the facts [F1]-[F5].
By hypothesis 3 and the divergence-free condition, is well defined as a field; by [F1] and [F2] with arbitrarily large, is continuous into for every . Hence is continuous into every real-order by [F5], the boundedness of , and inclusion from arbitrarily high orders. Since by hypothesis 2, this also shows that is the derivative of in every .
Choose . For each , evaluation , , is bounded linear with by the embedding. Applying to the difference quotient identifies the pointwise derivative . More generally, is bounded on when , so it also commutes with time differentiation. In particular is a continuous field whose spatial derivatives of every order are continuous, by [F1]; so is on and for every .
Induction claim. We prove by induction on integers that is into every and, for , with as in the Statement, continuous into every . The zeroth identity is by convention and hypothesis 1. For the base , step 1.1 gives continuous into every , so is there and both are covered.
Induction step. Suppose is into every , with . For any target order , choose . The product bound [F2] makes a continuous bilinear map . Applying the ordinary bilinear product rule [F3] repeatedly therefore shows that is into ; its derivatives through order use only derivatives of already supplied by the induction hypothesis. Likewise and are bounded linear maps [F4,F5], so is into . Since , this proves is into , with derivative of order equal to the formal Leibniz expression. No differentiability of was assumed to reach this conclusion. As was arbitrary, induction proves the claim of step 2.2.
By step 2.2 with arbitrary, for every and every the derivative is continuous into ; by [F1], every mixed derivative is continuous on . Hence , with one-sided time derivatives at the endpoints, and the differentiated identities of the equation hold by construction of the .
Remarks
- The lemma separates the smoothness of a strong solution from its construction: the main theorem supplies a curve satisfying hypotheses 1-3, and this lemma upgrades it to a classical smooth solution.
- Only the product estimates of the torus Sobolev scale and the boundedness of are used; no parabolic regularity or Schauder theory is presupposed.
Local smooth solutions of the periodic incompressible Euler and constant-viscosity equations on
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be an integer, let , and let be a smooth divergence-free field (so that for every ). Let , let be the commutator constant of The transport term is orthogonal to itself and the tame commutator estimate , and set Then there exists a field such that:
- ; for every real the identity holds in (hence pointwise on the strip after the smoothness conclusion), where is the Leray projection of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection; the identities and hold for all ;
- for every real the uniform bound holds, where is the commutator constant of order ;
- if then and . The existence time depends only on the single number (and on ), not on the finer profile of ; the case is the periodic incompressible Euler model and the constant-viscosity Navier-Stokes model.
Facts & Assumptions
Given: The smooth divergence-free datum , the integer , the viscosity , the time and the constants of Finite initial higher Sobolev norms give uniform Galerkin bounds on the common base interval.
For each integer the Galerkin approximation with is the unique maximal solution of and exists on with for every and for every (The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus, The higher-order energy inequality and a common Galerkin lifespan with , Finite initial higher Sobolev norms give uniform Galerkin bounds on the common base interval).
The diagonal extraction of Diagonal extraction of a converging Fourier subsequence from high-norm bounds and the tail estimate applies to the sequence with the bounds : there are a subsequence and with in for every , , real and divergence-free because each Galerkin field belongs to , and (the last equality from the truncation tail bound of The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus, claim 4).
Product bounds: for , and (Discrete Young inequality, the Sobolev product bound, and the transport product bound on the torus, claims 2 and 3).
and the truncations commute with and are bounded by ; ; equivalently this bound holds with when (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, The Galerkin coefficient system: finite-dimensional invariance, local Lipschitz property, and the unique maximal approximation on the torus, claim 4).
Riemann integration and the fundamental theorem for continuous curves in the complete space : for continuous the curve is differentiable with derivative , and coefficient functionals commute with the integral (Riemann integration of continuous curves in a complete normed space, with the fundamental theorem of calculus and coefficient functionals).
If for every , satisfies in for every and is divergence-free, then (A strong solution of the projected periodic equation with all Sobolev norms continuous in time is ).
Proof
Given: The data and the facts [F1]-[F6].
By [F1] each Galerkin approximation is defined on and bounded by in and by in for every ; by [F2] there is a subsequence and with in for every , , and .
Fix . Since , [F3] gives uniformly in . Moreover in : the difference is , whose first term is bounded by by [F4] and the second tends to by the previous estimate. Step 1.1 at order also gives in , so in by its bounded multiplier. Hence in .
Each Galerkin solution satisfies the integral identity in , because it is a finite-dimensional smooth coefficient curve: apply If is differentiable with integrable then ; and a bounded derivative makes Lipschitz, claim 1, to its real coefficient coordinates, whose continuous integrals agree with tagged sums by uniform continuity, then apply the bounded coordinate map. At the identity is the zero-integral convention of [F5]. Passing to the limit coefficientwise (justified by the uniform convergence of step 2.1 and of [F2], together with the continuity of coefficient functionals and [F5]) gives in ; by [F5] again, is differentiable in with , i.e. holds in ; since was arbitrary, it holds for every real .
The curve satisfies the hypotheses of [F6]: for every real it is continuous and differentiable into (take an integer ; continuity in follows from continuity in and , and the identity holds in ), it is divergence-free and real by [F2]. Hence and the differentiated identities hold.
Collecting: by [F2]; the equation holds in every , , by step 3.1, hence pointwise after step 4.1; the divergence-free condition and the bound hold by [F2]. The mean is preserved by passing the Galerkin identity to the limit. If then for every , so and . This proves claims 1-3.
Remarks
- The time of existence improves as the norm of the datum decreases and is independent of the viscosity; for this is the classical local existence statement for the periodic Euler equation used by the mechanics track.
- This is explicitly a local statement and a statement about the model equations ; no global regularity, boundary behaviour or empirical claim is made. The scope limitations are recorded in Scope of the local periodic result: what is proved and what is not.
Reconstruction of the periodic pressure from the velocity: and
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , let be a field such that for every real , is differentiable into with for every , is divergence-free for every , and solves the projected equation for some real (all in the sense of the spaces of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
Define the real scalar field on by its Fourier coefficients where is the -th Fourier coefficient of the product field . Then:
- for every , is differentiable into every , , and for every .
- The following identities hold on the strip:
- Uniqueness. If has and for every , then ; equivalently, is the unique smooth mean-zero pressure making solve the primitive-variable system.
Facts & Assumptions
Given: The field with the stated continuity, differentiability and divergence-free hypotheses, and the operators of Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection.
The scalar product rule and give, componentwise, , so (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
For , the coefficient of at is , and the coefficient of is ; kills gradient fields: (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
If for all with bounded by for all , uniformly on compact time sets, then has continuous derivatives of all orders in ; a curve with for all is on the strip (Sobolev embedding on the torus: for , with continuous representatives, claims 1 and 3).
Proof
Given: The field and the coefficient definition of , with facts [F1]-[F4].
The multiplier identity. Put and . By [F1], for . The projection formula [F2] gives , while the stated pressure definition gives . At both coefficients are zero, because gradients have zero constant coefficient and is the identity on that mode. Thus coefficientwise; the smoothness and coefficient identification justified by the smoothness argument below turn it into the claimed field identity.
Bounded multiplier and smoothness. Since for , the pressure coefficient map satisfies by the triangle inequality, for every real . For each product is continuous into by [F3]; larger orders give the assertion also for any smaller order by the monotonicity of the Sobolev weights. The hypotheses of the smoothness bootstrap A strong solution of the projected periodic equation with all Sobolev norms continuous in time is hold for , so all its time derivatives are continuous into every . The bilinear product rule makes the same true for , and the bounded coefficient multiplier defining commutes with those derivatives. Applying [F4] at arbitrarily high orders proves joint spatial and time smoothness and identifies the coefficients of all derivatives. Finally gives the zero mean. This proves claim 1.
Primitive equation. Since is a projection, by step 1.1. Substituting into gives , i.e. : the second identity of claim 2.
Poisson identity. By [F1] and the definitions, the coefficient of at is , while the coefficient of is ; at both sides vanish (for because , and for the double divergence because ). Hence : the third identity of claim 2.
Uniqueness. If then for every , forces , while at both means vanish, so ; hence has all Fourier coefficients zero. Injectivity of the scalar coefficient map in Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection gives almost everywhere. Both are continuous, so everywhere by the uniqueness of continuous representatives (Sobolev embedding on the torus: for , with continuous representatives, claim 2).
Remarks
- The pressure is a mean-zero solution of the periodic Poisson equation ; it is not an independent evolution variable, and it is unique once the mean is fixed.
- The sign convention is the one of the primed equations: with the coefficient formula above, the primitive system reads , matching the standard physical normalization used by the consuming mechanics page.
Uniqueness of smooth periodic solutions and continuous dependence in on the common local interval
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be an integer, , and let with , where is the commutator constant of The transport term is orthogonal to itself and the tame commutator estimate . Let be smooth divergence-free data with and , and let be the corresponding smooth solutions of the projected equation given by Local smooth solutions of the periodic incompressible Euler and constant-viscosity equations on (each nonzero datum has lifespan at least by its norm bound; for a zero datum use the explicit solution on , even when ).
- Uniqueness. If , then on .
- Stability in . With and , where (Sobolev embedding on the torus: for , with continuous representatives),
- Continuous dependence in . There is a finite constant such that In particular the solution map is continuous from the bounded set with its induced -topology into .
Facts & Assumptions
Given: The two smooth solutions on , the difference and the constant .
For smooth fields on : and (periodic integration by parts); (Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection, The Lebesgue integral is linear on , Integral over a measurable subset).
Vanishing transport integral: for divergence-free , , and , ; here and all fields are smooth (The transport term is orthogonal to itself and the tame commutator estimate , claim 1).
Sup bound: for , and on , with the latter established by the smooth energy argument in step 1.1 below (Sobolev embedding on the torus: for , with continuous representatives, claims 3 and 4; The transport term is orthogonal to itself and the tame commutator estimate , claims 2-3).
Interpolation: for real fields with finite norms, for every integer (Holder's inequality for finite sums and conjugate real exponents applied to the families and , followed by the supremum over finite sets).
Gronwall: if continuous satisfies with constants, then (Gronwall's integral inequality with variable and constant coefficients).
Two continuous fields equal almost everywhere are equal everywhere, and the norm of a field is (Sobolev embedding on the torus: for , with continuous representatives, claim 2; Periodic vector Sobolev spaces on the three-torus, the weight family, and the Leray projection).
Proof
Given: The smooth solutions of the projected equation, the difference and the facts [F1]-[F6].
For either smooth solution or , put . Pair its equation with , using periodic integration by parts and the commuting orthogonal Leray projection. The dissipative term is nonpositive since , while claims 2-3 of The transport term is orthogonal to itself and the tame commutator estimate give With this implies , hence while the denominator is positive, by differentiating . Letting gives for ; if the same limit gives . This establishes the bound required in [F3] for both solutions, without substituting for the weaker exponential bound in the existence supplier.
Subtracting the equations for and and writing , we get , so solves ; is smooth, real and divergence-free.
Pairing the equation for with and using that is self-adjoint and fixes divergence-free fields, . By [F2] the middle term vanishes, and the pointwise bound gives ; hence . Integrating this differential inequality gives , and Gronwall [F5] yields the stability estimate of claim 2.
by [F3]: pointwise so .
Uniqueness: if then , so for all by step 2.1; hence almost everywhere, and since is continuous, everywhere by [F6]; this is claim 1.
Continuous dependence: by [F4] applied to and by the bounds for both solutions in step 1.1, . Taking the supremum over and using gives claim 3 with the uniform constant , which is finite and independent of the data and .
Claims 1-3 are established by steps 3.2, 2.1 and 4.1. Existence and uniqueness give a well-defined solution map on , and step 4.1 makes its output distance tend to zero whenever its input distance tends to zero, proving the stated continuity.
Remarks
- Uniqueness is asserted among the smooth solutions constructed on the common interval; no weak-solution class is involved. The stability exponent is controlled by the bound of the comparison solution, so the modulus of continuity is explicit in the size of the data.
- The exponent in the stability is the Hölder exponent produced by interpolation; no Lipschitz stability in the high norm is claimed.
Scope of the local periodic result: what is proved and what is not
Scope of the local statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), as required by all three local results cited below.
Local smooth solutions of the periodic incompressible Euler and constant-viscosity equations on and Uniqueness of smooth periodic solutions and continuous dependence in on the common local interval are mathematical statements about the model equations on the flat three-torus, for a real viscosity parameter , smooth divergence-free data, and an integer . Write , and use the commutator constants specified in the existence theorem. Together with Reconstruction of the periodic pressure from the velocity: and , their established local conclusions are:
- existence of a smooth solution on the finite interval with when (and in the trivial case );
- the uniform bounds on that interval, for every ;
- uniqueness among smooth solutions on the common interval and Hölder- continuity of the solution map on smooth divergence-free -bounded data, from the induced topology into , with for a common positive norm bound ;
- reconstruction of a smooth real scalar pressure with and , and its uniqueness under (Reconstruction of the periodic pressure from the velocity: and , claims 1-3).
The following are explicitly not claimed, and are not consequences of the argument:
- No global-in-time smooth conclusion from this construction. The existence time decreases as grows, and the proof supplies no all-time bound for either or . This is a statement about this proof, not a certification of the current global status of fluid equations. On 11 September 2026 the Clay Mathematics Institute announced that the Navier-Stokes Millennium Problem concerning three-dimensional Euclidean space had “apparently been settled” and said that its evaluation process is deliberately unhurried (CMI announcement). That announcement was read here; no new announced proof has been audited here, and no implication from a Euclidean, forced or otherwise different problem to the unforced periodic equations of this page has been established. The older cited sources describe open problems as of their publication dates; they do not justify an unqualified present-day assertion that all these global questions remain open, nor does an announcement alone establish a theorem in this library.
- No general continuation criteria. The elementary restarting argument extends a solution as long as an bound persists, but no Beale-Kato-Majda type criterion, no vortex-stretching criterion and no partial regularity theorem is proved.
- No other data class, domain or system. The data are smooth,
divergence-free and periodic; the equation is incompressible with constant
viscosity and no forcing. Rough data, weak solutions, bounded domains with
walls or boundary layers, free surfaces, compressible systems, shocks,
non-Newtonian constitutive laws and turbulence statistics are outside the
scope of these two items; the companion page
cm-math-continuumsupplies some separate model items for those regimes and records its own limitations. - No empirical content. All items of this page carry
domain: mathematics; the equations are studied as explicit model equations. Nothing here asserts that any fluid, at any scale, is described by these equations, and no measurement is used.
The structural reason for the locality is visible in the energy inequality : the bound on the solution is exponential in time with a rate proportional to the norm, so the construction loses control once that norm could grow without bound. A global conclusion would need additional estimates or a separate theorem for the exact unforced periodic model; it is not an omitted routine step of the local proof.
5 · Examples, experiments and counterexamples
None yet.
Sources
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