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Projection, pressure correction and saddle-point solvers — Examples
1 · Prerequisites
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Conjugate Gradients, MINRES and Preconditioning
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Direct Matrix Factorisations: LU, Cholesky and QR
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Limits of Real Functions
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Projection, pressure correction and saddle-point solvers
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Simple Field Extensions and the Construction of the Complex Numbers
- Splitting Fields
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Projection, pressure correction and saddle-point solvers — Examples
A Neumann pressure correction can break tangential no-slip computes an explicit periodic-channel field whose Neumann pressure correction preserves zero normal velocity but changes the tangential wall trace. It is a boundary caveat and gives no convergence rate.
A collocated central gradient misses an alternating pressure mode verifies that an even-grid alternating pressure has zero collocated centred gradient. It illustrates why collocated and staggered operators must not be identified.
A scalar saddle system has golden-ratio preconditioned eigenvalues works out a scalar symmetric saddle system whose exact block-diagonal symmetric preconditioning leaves the golden-ratio eigenvalues visible. The example makes no solver-speed claim.
One staggered Fourier mode is removed exactly by pressure correction constructs an admissible componentwise mean-zero force that makes the staggered backward-Euler predictor equal to a single pressure-gradient mode; the pressure correction removes that velocity exactly in one step.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A Neumann pressure correction can break tangential no-slip
Statement
On the channel , with periodic coordinate and wall coordinate , consider the smooth tentative velocity The field need not be divergence-free; it is zero on both walls. Apply the unit-step pressure projection that solves periodically in , and sets . The corrected normal velocity is zero at each wall, but its tangential velocity at is , where Thus this pressure boundary condition does not preserve tangential no-slip for this field. The example asserts no convergence rate.
Facts & Assumptions
Given: A periodic channel, the displayed smooth tentative field, the Neumann pressure equation, and the velocity correction .
The pressure correction considered here is precisely the Poisson problem, homogeneous Neumann wall condition and gradient subtraction written in the statement.
The scalar identities and follow by differentiation of smooth functions.
Proof
Write . Direct differentiation gives . Define Differentiating the polynomial and hyperbolic terms gives and . By [F2], this solves the stated Poisson problem and satisfies both Neumann conditions. Since and at the walls, the corrected normal velocity remains zero.
For uniqueness of its gradient, if two classical periodic Neumann solutions are given, their difference is harmonic with on both walls. For each fixed , one-dimensional integration by parts in gives because the periodic endpoint terms cancel; integration by parts in gives by the Neumann data. Integrating the latter equality in and using yields . Hence , so the correction is independent of the pressure constant.
Since , the corrected tangential trace at the lower wall is At , because and . Therefore , which proves the tangential no-slip defect.
A collocated central gradient misses an alternating pressure mode
Statement
Use the periodic index set and from Periodic staggered-grid velocity and pressure spaces, but put pressure and velocity components at the same cell centres and define the collocated centred pressure gradient by If is even, then the nonconstant, zero-mean array satisfies . Thus this collocated central gradient cannot distinguish this pressure from a constant; the staggered gradient defined on the A page is a different operator.
Facts & Assumptions
Given: The periodic index set for , and the separate collocated centred-gradient convention displayed in the statement.
with all index additions taken modulo (Periodic staggered-grid velocity and pressure spaces).
On an even cycle, , with parity interpreted modulo the even integer .
Proof
Since is even, summing over its values gives zero; the other coordinates simply repeat this sum. Hence has zero discrete mean. It is nonconstant because its values at and differ.
For , [F2] gives , so the first component of is zero. For every , the array is independent of coordinate , hence again . The defining centred difference therefore gives in every component, proving the nonconstant zero-mean pressure mode is invisible.
A scalar saddle system has golden-ratio preconditioned eigenvalues
Statement
Take , , , and in the symmetric saddle-point and block-preconditioning convention of Symmetric saddle-point system, Schur complement, and block preconditioners. Interpret with Euclidean norms, , and ; thus the pressure-Schur hypotheses hold with . Then The symmetrically preconditioned eigenvalues are For right-hand side , the unique saddle solution is . This exact example illustrates the spectrum only; it implies no solver-speed or iteration-count claim.
Facts & Assumptions
Given: The scalar SPD blocks , the full-row-rank matrix , scaling , and right-hand side .
The saddle matrix is and the symmetric preconditioner is (Symmetric saddle-point system, Schur complement, and block preconditioners).
For normalized Schur eigenvalue , the saddle eigenvalues are (Spectrum of a symmetrically pressure-mass-preconditioned saddle system).
Proof
The scalar matrix is SPD, implies , and the Schur matrix is . Thus the normalized Schur eigenvalue is and by [F1].
Applying [F2] at gives the characteristic polynomial and roots . Direct substitution in and yields ; the coefficient matrix is invertible because its determinant is , so this solution is unique.
One staggered Fourier mode is removed exactly by pressure correction
Statement
Let be even, , , and use the staggered operators from Periodic staggered-grid velocity and pressure spaces. Put , so , and let . Start one step of Backward-Euler incremental pressure correction on a periodic staggered grid from , with Then the unique predictor is , the pressure increment is , and the corrected velocity is exactly . The pressure update is .
Facts & Assumptions
Given: The periodic staggered grid, even , the alternating cell pressure , positive , and the stated one-step data.
The staggered operators satisfy and is the negative componentwise periodic Laplacian (Periodic staggered-grid velocity and pressure spaces).
The predictor, pressure-increment equation and velocity/pressure updates are those in Backward-Euler incremental pressure correction on a periodic staggered grid.
Both solves are unique, the pressure increment is mean-zero, and the correction is exactly the discrete Helmholtz projection (Well-definedness of the periodic pressure-correction solves, Mass-orthogonal periodic discrete Helmholtz projection and exact incompressibility).
Proof
Since is even, has zero mean. The staggered gradient is not zero: . Also , so [F1] gives . Periodic summation shows both and have zero component means, hence the force is admissible.
Substituting and into the predictor equation [F2] gives , so uniqueness [F3] identifies it as the predictor. For the pressure equation, both sides have mean zero and [F3] gives .
The velocity update [F2] now gives , while the pressure update gives . This is exact one-step removal of the selected mode.