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Phase-field and dissipative gradient-flow computation
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Approximation and Compactness in C(K)
- Areas of Elementary Plane Figures
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- 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
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Surface Measure, Divergence, and Green Identities
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite-volume diffusion on admissible meshes
- Foundations of the Real Numbers for Analysis
- Fredholm Elliptic Problems and the Elliptic Spectrum
- Fubini and Change of Variables
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Harmonic Functions and Mean Values in Rn
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- 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
- Nonlinear parabolic compactness and monotone evolution
- 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
- Parabolic finite-element methods
- Pointwise Extended-Real Function Products
- 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
- Rellich Kondrachov and Sobolev Compactness
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Schwartz Space and the Plancherel Theorem
- 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
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Smooth Approximation and Sobolev Extension
- Smooth Partitions of Unity and Exhaustions
- Sobolev Poincare and Morrey Inequalities
- 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 Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Radon Nikodym Theorem and Lebesgue Decomposition
- 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
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Derivatives and Sobolev Spaces
2 · Summary
This page fixes the quartic double-well energy and the no-flux Allen–Cahn (AC) and Cahn–Hilliard (CH) gradient flows in Allen–Cahn and Cahn–Hilliard double-well gradient flows. The finite-energy initial class is on a bounded connected Lipschitz domain. AC is the gradient flow; CH uses the mean-zero metric and conserves the spatial mean. In dimensions two and three, the stated consequences require the corresponding bounded extension-domain hypotheses and the Axiom of Choice. In dimensions four and higher, the page does not assert that every state has finite quartic energy. No maximum principle or sharp-interface limit is part of these definitions.
No-flux finite-volume and conforming realizations for phase fields defines two distinct no-flux realizations. The finite-volume branch uses cell-volume mass and the symmetric sum of interior TPFA conductances; physical-boundary fluxes are zero and add no boundary penalty. The conforming branch is on : its space is affine between cell centers and constant on the boundary half-cells, with the exact mass and exact integrals of both convex-split potential terms. For either connected finite realization, the operator approximates . Kernel, range, and mean-zero inverse for the no-flux Laplacian proves that its kernel consists of constants, its range is the mean-zero subspace, and its inverse there defines ; for a general source, this operator first projects onto the mean-zero subspace. Its Poincaré constant may depend on the mesh. finite-volume-diffusion-and-mimetic-fluxes supplies the mesh and TPFA conventions. The finite-dimensional results do not assert a Neumann finite-volume PDE limit.
For fixed positive and step size , the split is , with and . The selected backward-Euler method Backward-Euler convex splitting for Allen–Cahn and Cahn–Hilliard minimizes a strictly convex objective: AC minimizes over the full space, while CH minimizes over the affine set with the previous discrete mean. The proved finite-dimensional theorem gives unique steps, CH mass conservation, and decay of the original physical discrete energy for both realizations (Existence, uniqueness, mass conservation, and energy decay of a convex-splitting step). Its smooth fixed-mesh time estimate is conditional on a semidiscrete trajectory with compact range; its constants depend on the mesh, , the trajectory, and final time, so it is not a spatial error estimate (First-order time error under smooth fixed-mesh solutions).
Only the conforming interval branch has a mesh-and-time PDE limit here. Uniform interval stability of the phase-field L2 projector proves the required uniform stability and convergence of its exact- projector. With fixed , , and independent , and initialization , One-dimensional mesh and time convergence of convex-splitting phase flows proves subsequential strong space-time and weak convergence to weak no-flux AC or CH solutions. This theorem assumes the Axiom of Choice for PE12 compactness and weak subsequence extraction. Its compactness step uses the actual PE12 discrete Aubin–Lions theorem from nonlinear-parabolic-compactness-and-monotone-evolution. This is a one-dimensional convergence result, not a higher-dimensional or graph-mesh limit. NA29 and NA36 remain quantitative conforming finite-element error context; this selected branch claims no spatial error rate. The page-level T04 interface imex-and-operator-splitting-methods remains available as context; the selected proof invokes no ARS, Lie, or Strang result.
On either stated finite-dimensional no-flux realization, with , the SAV equations in First-order scalar-auxiliary-variable Cahn–Hilliard step have a proved unique solve and dissipate the modified energy , not necessarily the original physical energy (The SAV step is uniquely solvable and dissipates a modified energy). The auxiliary variable is independent after each step. The stabilized semi-implicit update is a separate definition in Stabilized semi-implicit phase-field step; this page imports no energy law, unconditional solvability, maximum-principle, or error estimate for it.
Companion examples: phase-field-and-energy-dissipative-discretization-examples.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Allen–Cahn and Cahn–Hilliard double-well gradient flows
Definition
Let be a bounded connected Lipschitz domain, let , and fix constants , , and . Put and define the free energy on by Here and weak derivatives have the meaning in Integer-order Sobolev spaces and their norms. The finite-energy initial class consists of .
The Allen–Cahn gradient flow is The Cahn–Hilliard gradient flow is For weak solutions, the no-flux conditions are encoded by the natural weak formulations with all test functions. In dimensions , the finite-energy class alone does not in general make a continuous functional on : it gives only , while need not embed into . Thus any weak solution tested against all functions must have the additional integrability needed to make the nonlinear pairing continuous. The chemical potential is the variational derivative of , and the mobilities select the metric for Allen–Cahn and the mean-zero metric for Cahn–Hilliard. In the Cahn–Hilliard flow, the no-flux equation conserves ; the Allen–Cahn flow has no such conservation law in general. No maximum-principle property is part of these definitions.
The convergence theorem on this page is restricted to one space dimension. Assuming the Axiom of Choice for the following standard embedding consequences, if and is a bounded extension domain for every as defined in Sobolev extension domains and extension operators, then The critical Sobolev embedding into every finite gives . If and is a bounded extension domain, then Sobolev embedding on bounded extension domains for gives . These are the exact extra extension hypotheses for the quartic-energy claim. In dimensions no assertion that every state has finite quartic energy is made; the explicit initial class above remains . No sharp-interface limit as is part of either definition.
No-flux finite-volume and conforming realizations for phase fields
Definition
The no-flux finite-volume realization starts from a finite connected cell-face mesh as in Finite-volume cell-face meshes and geometric regularity and uses the interior-face orthogonality and positive transmissibilities of Orthogonal TPFA diffusion with harmonic face transmissibility. For unit diffusivity, let , , and There is no boundary-face term: the flux through each physical boundary face is prescribed to be zero. Define by for all . Split the double-well density as The associated finite-volume energy components are
For convergence on , a second realization uses the same orthogonal dual mesh with centers , . Its conforming space consists of functions affine between consecutive centers and constant on the two half-cells between a boundary and the nearest center. Its inner product is the exact inner product, its stiffness is , and its energy components are and . Define by . For degrees of freedom , this stiffness is exactly the interior two-point flux form ; the exact mass and potential integrals are the conforming reconstruction used in the convergence theorem.
Both realizations have a constant function , a real finite-dimensional inner-product space, and a self-adjoint nonnegative operator . They share the physical energy , with the appropriate inner product and energy components for the realization. The sign convention is .
The diagram labels four adjacent cell values, three shared interior fluxes, and the prescribed zero boundary fluxes. Each interior flux appears with opposite signs in its two cell balances. The diagram records the convention only; it is not used as a proof.
Remarks
The published TPFA theorem TPFA discrete Green identity, coercivity, and maximum principle treats homogeneous Dirichlet data and its energy includes boundary penalties. The no-flux realization above deliberately omits those terms and uses only its interior transmissibilities; its kernel and gauge are proved separately in Kernel, range, and mean-zero inverse for the no-flux Laplacian. The conditional parabolic limit item Conditional monotone finite-volume parabolic limit identification assumes zero-boundary reconstructions and is not used for this Neumann branch. The finite-dimensional gradient-flow algorithm also applies to the conforming realization stated above.
Kernel, range, and mean-zero inverse for the no-flux Laplacian
Statement
Use either connected no-flux realization in No-flux finite-volume and conforming realizations for phase fields. In its finite-volume branch, assume the interior cell graph is connected; in its interval conforming branch, assume . Write and . Then is self-adjoint and nonnegative, , and . The restriction is positive definite and invertible. Define by first projecting onto and then applying this self-adjoint positive inverse. For each fixed finite mesh there is such that For a one-cell mesh, and the inequality is vacuous.
Facts & Assumptions
Given: A finite-dimensional real inner-product space and one of the two connected no-flux realizations in the statement.
No-flux finite-volume and conforming realizations for phase fields: in the cell branch, with ; in the interval branch, on continuous piecewise-affine functions.
For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent: every continuous real-valued function on a nonempty compact subset of a finite-dimensional Euclidean space attains its minimum.
Proof
The displayed bilinear form in [F1] is symmetric, so is self-adjoint. Its quadratic form is a sum of positive transmissibility-weighted squared jumps in the cell branch and is in the interval branch, so it is nonnegative. If it is zero, every interior jump vanishes in the cell branch, and connectedness makes all cell values equal; in the interval branch the derivative is zero on every segment, and continuity makes the function constant. Conversely, constants have zero quadratic form. Thus .
Self-adjointness implies : for and , . Rank-nullity gives , so equality holds. The orthogonal complement of the constants is exactly .
The restriction of to maps into and has trivial kernel by step 1.1. It is therefore bijective on this finite-dimensional space. Hence each mean-zero source has a unique mean-zero inverse, and projecting an arbitrary source onto defines .
On the restriction of is self-adjoint positive definite by step 1.1. If , write and with ; then , so its inverse is self-adjoint. Also, for nonzero , .
If the claimed inequality is immediate. Otherwise its unit sphere is compact and nonempty. The continuous quadratic form attains a minimum there by [F2]. The minimum is positive, since a zero value would put a unit mean-zero vector in the constant kernel from step 1.1. Calling the minimum , homogeneity gives .
Uniform interval stability of the phase-field L2 projector
Statement
Let and let be the conforming interval space in No-flux finite-volume and conforming realizations for phase fields, with center spacing . Let interpolate the absolutely-continuous representative of at the centers and extend it constantly to the two boundary half-cells. Let be the exact -orthogonal projection onto . There is a constant independent of such that In addition, for every , in for every , and in for every as .
Facts & Assumptions
Given: A bounded interval, a uniform center mesh, and the definitions of , , and in the statement.
No-flux finite-volume and conforming realizations for phase fields: consists of continuous functions affine between centers and constant on the boundary half-cells, so its inner product is positive definite and is the orthogonal projection.
One-dimensional functions have unique absolutely continuous representatives: each class has a unique absolutely-continuous representative on with .
Assume Countable Choice. For every and there is with (Smooth compactly supported functions of an open set are dense in ).
Every compactly supported smooth function on lies in because its classical derivatives are weak derivatives (Classical derivatives agree with weak derivatives).
Assume the Axiom of Choice through [F2] when selecting the canonical representative at the finitely many interpolation nodes; it supplies the Countable Choice hypothesis in [F3].
Proof
On every segment between adjacent centers, has slope , so Cauchy–Schwarz bounds its squared derivative integral by . It is constant on the boundary half-cells. Summing proves . The fundamental-theorem identity in [F2] gives on each center interval and the same bound on each boundary half-cell. Squaring and summing proves ; then .
For an affine function on an interval of length with endpoint values , direct integration gives and . Hence . Summing this inequality over the affine segments proves the inverse estimate on ; the constant boundary segments add no derivative.
Since and is an contraction, by step 1.1. The triangle inequality with step 1.1 gives . Apply step 1.2 to , and then step 1.1, to obtain . The contraction gives the full stability.
If , linear interpolation on each interior segment has error tending to zero, while on a boundary half-cell the derivative error is bounded by . Thus . Step 2.1 applied to gives , so in .
For arbitrary , let be its weak derivative and use [F3] to choose with in . Define using the representative in [F2]. Then and , while Cauchy--Schwarz gives . Hence in . Uniform stability from step 2.1 and smooth convergence from step 3.1 yield first let with fixed and then let . Thus in for every .
For and , [F3] gives with . The orthogonal projector is an contraction by [F1], and step 2.1 gives in . Therefore so . Letting proves strong convergence for every .
Stabilized semi-implicit phase-field step
Definition
On either discrete realization of No-flux finite-volume and conforming realizations for phase fields, write for the finite-volume state space and for the conforming interval state space; use its inner product and the energy components defined there. Let be the Riesz gradient of the full potential energy. In the finite-volume realization, . In the conforming interval realization, is defined by where is the exact inner product. Given a previous state , parameters , and a stabilization parameter , the stabilized semi-implicit Allen–Cahn step is the linear equation For the same input, the stabilized semi-implicit Cahn–Hilliard step is These formulas define alternative updates with an explicitly lagged nonlinear potential and an added increment term. No energy law, unconditional solvability, maximum principle, or error estimate is asserted here for the quartic double well; any such property requires its own hypotheses and proof. In particular, no stability estimate proved for the convex-splitting update is silently transferred to this variant.
First-order scalar-auxiliary-variable Cahn–Hilliard step
Definition
Use either Cahn–Hilliard realization of No-flux finite-volume and conforming realizations for phase fields. Write for the finite-volume state space and for the conforming interval state space; use the specified inner product in each case. Set . Since , this is nonnegative. Explicitly, and Its Riesz gradient is specified in the finite-volume realization by , where . In the conforming interval realization it is the unique satisfying with the exact inner product from that realization.
Inputs: , , and parameters . Set . Output: the tuple obtained by solving the linear equations The initial scalar may be set to . After a step, is an independent auxiliary variable determined by the third equation; the scheme does not impose .
Remarks
The separate result The SAV step is uniquely solvable and dissipates a modified energy ↗ proves unique solvability of this linear system and its modified-energy identity.
Backward-Euler convex splitting for Allen–Cahn and Cahn–Hilliard
Definition
Let be either finite-dimensional realization in No-flux finite-volume and conforming realizations for phase fields, with real inner product , constant vector , self-adjoint nonnegative with kernel , and from Kernel, range, and mean-zero inverse for the no-flux Laplacian. Let be the differentiable convex energy components specified there; denotes the Riesz gradient relative to . Put Given , , and , the backward-Euler convex-splitting step is:
-
Allen–Cahn branch. Return the minimizer over of and set .
-
Cahn–Hilliard branch. Restrict to the affine set and return the minimizer of then set .
For the finite-volume realization, and . For the conforming interval realization, these are the exact integrals of and over the reconstructed piecewise-affine state. The recurrence, minimizer equivalence, uniqueness, conservation, and energy bounds are proved in Existence, uniqueness, mass conservation, and energy decay of a convex-splitting step ↗. This is the selected backward-Euler branch; it asserts no ARS(2,2,2), Lie, or Strang property.
The SAV step is uniquely solvable and dissipates a modified energy
Statement
Under the finite-dimensional hypotheses of First-order scalar-auxiliary-variable Cahn–Hilliard step, the displayed SAV linear system has a unique solution at every step. Every solution conserves the discrete mean and obeys where , , and Thus is nonincreasing. This conclusion is about the modified energy; it does not assert monotonicity of the original physical energy .
Facts & Assumptions
Given: A finite-dimensional no-flux realization, , a previous pair , and the SAV equations.
First-order scalar-auxiliary-variable Cahn–Hilliard step: is fixed by , is fixed, and the three displayed equations are linear in .
Kernel, range, and mean-zero inverse for the no-flux Laplacian: is self-adjoint and nonnegative, annihilates constants, and its quadratic form vanishes only on constants.
Proof
Subtract two candidate solutions with the same old data. Their difference satisfies the same linear system with old data zero and the same fixed . Pair with , pair with , and use . This gives . All terms are nonnegative by [F2], so is constant. The first equation makes mean zero, hence ; the third then gives , and the second gives . Thus the square finite-dimensional linear system has trivial kernel and is invertible.
For an actual step, pairing the first SAV equation with and using proves . Pairing that equation with gives . Pairing the second equation with and using the third gives Since , equating the two expressions proves the stated modified-energy identity.
Existence, uniqueness, mass conservation, and energy decay of a convex-splitting step
Statement
Use the finite-dimensional realization and the hypotheses of Backward-Euler convex splitting for Allen–Cahn and Cahn–Hilliard. Assume is convex and coercive on , and is differentiable and convex. For every , , and , both branches have a unique minimizer. Their first-order conditions are exactly The Cahn–Hilliard branch conserves . With as in the algorithm, For the quartic split in Allen–Cahn and Cahn–Hilliard double-well gradient flows, the required convexity and coercivity hold for both realizations.
Facts & Assumptions
Given: A finite-dimensional real inner-product space, , the convex energy components, a previous state, , and as in the Statement.
Backward-Euler convex splitting for Allen–Cahn and Cahn–Hilliard: the Allen–Cahn objective is and the Cahn–Hilliard objective is on the fixed-mean affine set; the discrete energy is .
Kernel, range, and mean-zero inverse for the no-flux Laplacian: is self-adjoint and nonnegative, its kernel is the constants, and is the inverse on the mean-zero subspace.
For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent: a continuous function on a nonempty compact finite-dimensional sublevel set attains its minimum.
No-flux finite-volume and conforming realizations for phase fields: has , and has .
Proof
In either realization, the quartic leading part of is continuous and strictly positive on the unit sphere of any fixed norm on : it is a positive weighted sum of in the finite-volume branch and in the conforming branch, which is positive for every nonzero state. The sphere is compact, so [F3] gives . Homogeneity gives . The formulas in [F4] show that the remaining quadratic term in is nonnegative, so is coercive. The second directional derivatives of the two potential functionals are the corresponding weighted sum or integral of and ; [F4] makes them nonnegative, so both are convex. Thus both quartic realizations satisfy the coercivity and convexity assumptions.
The Allen–Cahn objective is continuous and coercive: its positive quadratic term is nonnegative, is coercive, and the remaining term is linear. For any fixed trial value, a nonempty sublevel set is closed and bounded, hence compact in the finite-dimensional space; [F3] gives a minimizer. The quadratic term is strictly convex, while the remaining nonlinear and quadratic terms are convex by [F2] and the hypotheses, so the minimizer is unique.
Let , , and . Convexity gives and . Also by nonnegativity in [F2]. Adding these inequalities gives .
Differentiating in an arbitrary direction gives . Since this holds for every , the vector inside the pairing is zero; multiplying by gives the stated Allen–Cahn recurrence.
The Cahn–Hilliard affine set is nonempty because it contains . Its objective is continuous and coercive on that affine set by coercivity of and nonnegativity of the quadratic term. The inverse quadratic term is strictly positive on every nonzero mean-zero direction by [F2], so is strictly convex on the affine set. The compact-sublevel argument of step 1.2 and [F3] therefore gives a unique minimizer.
At the Cahn–Hilliard minimizer, the directional derivative vanishes for every mean-zero direction . Thus is orthogonal to the mean-zero subspace and is therefore constant. Applying and using [F2] gives . The affine constraint itself gives .
In the Allen–Cahn branch, step 1.2 gives , so step 1.3 yields . In the Cahn–Hilliard branch, step 3.1 gives , so . These are the two asserted energy inequalities.
First-order time error under smooth fixed-mesh solutions
Statement
Fix one finite-dimensional realization in No-flux finite-volume and conforming realizations for phase fields and . Let and . The exact semidiscrete Allen–Cahn trajectory is the solution of ; the exact semidiscrete Cahn–Hilliard trajectory is the fixed-mean solution of . Assume the applicable exact trajectory is on and remains in a compact set. Let the numerical solution start from and use the convex-splitting step. Then there are constants and , depending on the fixed spatial realization, , the exact trajectory, and , such that, for :
- for Allen–Cahn, ;
- for Cahn–Hilliard, with and having the same mean and on mean-zero vectors, .
This is a fixed-mesh time estimate; it is not a uniform spatial error bound.
Facts & Assumptions
Given: A fixed finite-dimensional realization, the convex energy split, the exact semidiscrete solution, its stated smoothness and compact range, the exact initial value, and a step size .
Backward-Euler convex splitting for Allen–Cahn and Cahn–Hilliard: the AC update is , and the CH update is .
Existence, uniqueness, mass conservation, and energy decay of a convex-splitting step: each step exists uniquely, the physical discrete energy is nonincreasing, and the convex implicit term has the monotonicity used in its proof.
Kernel, range, and mean-zero inverse for the no-flux Laplacian: is self-adjoint, nonnegative, and invertible on mean-zero vectors, so is a norm there and is available.
Allen–Cahn and Cahn–Hilliard double-well gradient flows and No-flux finite-volume and conforming realizations for phase fields: the scalar split is , , so is globally Lipschitz and is convex.
The relevant exact semidiscrete trajectory is and its image lies in a compact set on which has bounded derivative.
Proof
Substitute the exact trajectory into the backward-Euler split. For Allen–Cahn define . For Cahn–Hilliard define . The exact integral equations express these residuals as times the quadrature difference , with an additional in the Cahn–Hilliard branch. The bounded derivatives on the compact exact trajectory and imply and ; in the latter case lies in the mean-zero range of by [F3].
Convexity of and nonnegativity of make monotone. By [F4], is globally Lipschitz with constant . In the quartic realizations, the lower bound and the energy inequality in [F2] also bound every numerical state on the fixed finite-dimensional space.
In the Allen–Cahn branch put . Subtract the exact residual equation from the numerical recurrence and pair with . The identity and monotonicity from step 2.1 leave only the explicit term and residual on the right. Cauchy–Schwarz and Young give and . For small enough that and , step 1.1 then gives .
In the Cahn–Hilliard branch both errors have mean zero. Pair the original difference equation with . Self-adjointness and give . The implicit term becomes , because is the sum of and the gradient of a convex functional. The explicit term obeys , where . Indeed, on the mean-zero space is an inner product and , with and . Cauchy–Schwarz in this inner product gives the bound. Young's inequality absorbs half of the positive term and leaves . The residual from step 1.1 satisfies . Hence, for small , .
In either recurrence, . Iterating for gives , since . Taking square roots gives the two asserted bounds. The constants include the fixed-mesh operator norms, the fixed parameters , and the trajectory bounds.
One-dimensional mesh and time convergence of convex-splitting phase flows
Statement
Assume the Axiom of Choice and use the separable Hilbert evolution triple . Let , , and use the conforming interval realization in No-flux finite-volume and conforming realizations for phase fields with and time steps , where . Fix . For each , initialize with and use the corresponding convex-splitting scheme. Set and, for , let , , and ; values at the finitely many endpoints do not affect the Bochner classes. There is a subsequence with such that strongly in and weakly in .
For the Allen–Cahn branch, the limit satisfies, for every with ,
For the Cahn–Hilliard branch, along a further subsequence weakly in , and for every and , and for almost every . The no-flux boundary conditions are encoded by the test spaces. The quartic nonlinearity is controlled here by the one-dimensional embedding . This theorem is for fixed and ; it does not assert a higher-dimensional finite-volume limit or an sharp-interface result.
Facts & Assumptions
Given: The Axiom of Choice; the finite-volume stiffness and conforming interval spaces; the mesh and time sequences; ; the convex-splitting updates; and the fixed positive parameters.
Allen–Cahn and Cahn–Hilliard double-well gradient flows and No-flux finite-volume and conforming realizations for phase fields: , where , , and . In the conforming branch is continuous piecewise affine between centers, constant on boundary half-cells, has exact mass, and .
Uniform interval stability of the phase-field L2 projector: is -orthogonal, uniformly -stable, in for every , and in for every ; the interpolation family is conforming.
Existence, uniqueness, mass conservation, and energy decay of a convex-splitting step: every step exists, conserves the Cahn–Hilliard mean, and satisfies the two energy inequalities, with dissipation of in for Allen–Cahn and of in for Cahn–Hilliard.
Banach evolution triples and weak time derivatives: embeds continuously and densely in , and embeds canonically in .
Compactness of on bounded extension domains: for a bounded interval, is compactly embedded in .
Piecewise-constant discrete Aubin–Lions compactness: for time-step functions with maximum time step tending to zero, uniform bounds and uniform bounds on discrete time derivatives imply relative compactness in , assuming .
Bounded sequences in a separable Hilbert space have weakly convergent subsequences: under Countable Choice, bounded sequences in the separable Hilbert space have weakly convergent subsequences.
One-dimensional functions have unique absolutely continuous representatives: every class has an absolutely-continuous representative satisfying the fundamental-theorem identity. Holder's inequality for integrals, including the endpoint cases: and .
Backward-Euler convex splitting for Allen–Cahn and Cahn–Hilliard: , with and in the conforming realization; its AC and CH updates give the corresponding discrete time derivatives.
The Axiom of Choice supplies the compactness and subsequence extractions in [F6] and [F7].
Proof
For , choose a point with ; such a point exists since has a continuous representative. For every , [F8] and Cauchy–Schwarz give . Thus embeds continuously in .
By [F2], is uniformly bounded in ; step 1.1 bounds it in , so its gradient and quartic terms in [F1] give a uniform initial-energy bound. The energy inequalities in [F3] then give : the gradient term controls , and the algebraic identity controls and, by [F8], . Step 1.1 gives . For Allen–Cahn, the update in [F9] gives ; hence the summed dissipation in [F3] and give . For Cahn–Hilliard, summing [F3] bounds in . Its mean is because and the Riesz gradients in [F9] pair with as derivatives of the integral potentials in [F1]; this mean is uniformly bounded by the bound. For , [F8] and Cauchy--Schwarz give , so . Thus is bounded in . For each , the CH update in [F9] gives and orthogonality gives . The uniform H1 stability of in [F2] therefore bounds the discrete derivative in .
The piecewise-constant reconstructions take values in and have uniformly bounded norms by step 2.1. The interval embedding in [F5] supplies , and [F4] supplies the evolution triple. The time steps tend to zero and step 2.1 supplies the discrete-derivative bound, so [F6] gives a subsequence converging strongly in . Applying [F7] to the same bounded sequence and taking a further subsequence gives weak convergence to the same , since the strong limit is unique. The Cahn–Hilliard chemical potentials are bounded in by step 2.1, so [F7] also gives a weak limit .
Let on . Then , so step 2.1 gives ; the uniform H1 bound gives . For every , the evolution-triple pairing and Cauchy--Schwarz give . Integrating and applying Cauchy--Schwarz in time shows , so adjacent time-level reconstructions differ by a term tending to zero in . By step 1.1 both adjacent states are uniformly bounded in ; the polynomial split derivatives and are Lipschitz on this common bounded range. Therefore their values at adjacent levels differ by a term tending to zero in , and strong convergence from step 3.1 implies convergence of each split term, and hence , strongly in to its value at .
Let vanish at . The sets and are compact in and , respectively, by continuity in those norms. Uniform operator bounds and strong convergence of in [F2] imply uniform projector convergence on each compact set: cover the set by finitely many balls of radius , use convergence at their centers, and bound the errors inside each ball by the uniform operator norm plus . Uniform continuity of then shows the projected time difference quotients converge in to . Use as the spatial test in the discrete equation [F9] and sum by parts in time. The terminal term vanishes exactly because ; the initial term is . Strong convergence of the tests, weak convergence of in from step 3.1, and strong convergence of the nonlinear terms from step 4.1 permit passage in every sum, yielding the Allen–Cahn identity in the Statement.
In the Cahn–Hilliard branch, apply the same test passage to the first mixed equation [F9]. The weak convergence of from step 3.1 and strong convergence of the tests give . For any and , test the second mixed equation [F9] with , multiply by , and integrate in time. By [F2], in ; weak convergence of and in and strong convergence of the split potential in from step 4.1 pass the identity to the integrated form in the Statement. Finally, the discrete mean is constant by [F3]. Strong convergence in makes the mean functions converge in by Cauchy–Schwarz in space, so the limit has that mean for almost every time.
5 · Examples, counterexamples and false statements
None yet.
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