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Imex and operator splitting methods — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- 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
- Darboux, L'Hôpital, and Taylor's Theorem
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Imex and operator splitting methods
- Implicit stiff time stepping and algebraic error
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- One-step ODE Consistency and Local Error
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- 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
- Runge–Kutta Methods and Order
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Logarithm and General Powers
- The Riemann Integral: Definition and Integrability
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The companion gives a scalar stiff-decay comparison, exact ARS modal factors for a two-cell reaction-diffusion grid, and concrete noncommuting matrices whose Lie and Strang local defects have nonzero leading terms. A two-level finite-matrix Schrödinger split preserves the Euclidean norm in every exact subflow and composition. The Dirichlet modal example proves a two-sided fixed-time error for its stated sequence-space model.
The examples are finite-dimensional or explicitly diagonal sequence-space calculations. They do not extend scalar absolute stability to nonnormal matrices, or establish a general unbounded-PDE splitting theorem.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
An explicitly treated stiff decay mode is unstable for a large step
Example
Take the scalar decay equation with and . Treat the whole stiff term explicitly, so and . IMEX Euler gives amplification ; for its magnitude exceeds one although the exact solution decays. If instead this same term is implicit, the amplification is , which lies in for every . This scalar comparison does not imply matrix stability for nonnormal operators.
Facts & Assumptions
Given: , , and .
One-step IMEX Euler with an implicit branch and residual status: the exact-step equation is .
The real exponential function and the number by a power series, The exponential function is smooth and , and The chain rule for total derivatives: : is differentiable with derivative , so solves and .
Verification
With and , [F1] gives , so after steps the numerical value is . If , then and for every . By [F2], is the exact solution, and [F3] gives .
With and , the equation in [F1] becomes . Since , [F4] gives . Thus the implicit treatment damps every such scalar step, while the explicit treatment grows whenever .
At the boundary , the explicit amplification is , whose magnitude is exactly one. Thus the strict instability condition is ; equality is neutral for this scalar test equation.
Noncommuting two-by-two matrices distinguish Lie and Strang local errors
Example
On , let and , where The fields are smooth and their exact flows exist globally. With the bracket convention in Lie and Strang compositions of exact split flows, the Lie split has a nonzero local defect and the symmetric Strang split has a nonzero local defect at .
Facts & Assumptions
Given: The two matrices and the corresponding linear vector fields on .
Lie and Strang compositions of exact split flows: for linear fields , , the bracket is .
Lie and Strang splitting errors have commutator expansions: the Lie defect is and the Strang defect has leading coefficient at order .
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes: matrix products are computed by row-by-column multiplication.
The exponential series of a bounded operator: every finite matrix has an everywhere-defined exponential with and derivative , so its linear ODE flow exists for all real .
Proof
By [F4], the linear fields have global exact flows. Direct multiplication gives By [F1], .
Multiplying once more gives These are the matrices of and under the same convention.
At , , so [F2] gives Lie local defect , whose leading coefficient is nonzero. Thus its local error has exact order two.
The Strang leading matrix from step 2.1 is It sends to , so [F2] gives a nonzero cubic leading local defect and exact local order three.
A finite-matrix Schrödinger split preserves norm
Example
Realify as and let Here is a two-level kinetic matrix and is a Hermitian potential coupling. The finite-dimensional Schrödinger equation is . Each exact kinetic or potential subflow preserves the Euclidean norm, so every exact Lie or Strang composition does as well. The local errors are nonzero for suitable initial data because the two generators do not commute; no spatial PDE or unbounded-operator conclusion is claimed.
Facts & Assumptions
Given: The matrices and a differentiable solution of the total or split Schrödinger equation.
Lie and Strang compositions of exact split flows: Lie and Strang maps are compositions of the exact flows of the two component fields, and their bracket is .
Lie and Strang splitting errors have commutator expansions: the leading Lie defect is , and the Strang defect has the stated cubic double-bracket coefficient.
The norm induced by a real or complex inner product and The standard formulas on and on are inner products: the standard complex Euclidean norm satisfies .
The adjoint is characterised by and In orthonormal bases, the matrix of the adjoint is the conjugate transpose of the matrix: the adjoint matrix is the conjugate transpose, and for a Hermitian matrix.
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes: matrix products have their standard associative coordinate meaning.
Sums, scalar multiples, products and quotients: , , , and when and The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with : the product rule applies to real and imaginary coordinates, and a real differentiable scalar function with zero derivative is constant.
The exponential series of a bounded operator: a finite matrix exponential is defined for every real time, equals at zero, and has derivative .
and , as direct conjugate-transpose calculation verifies.
Proof
Let be any of , , or . Its exact flow exists for all real time by [F7], and every solution obeys . By [F3]–[F6], differentiating the real function gives where [A1] supplies . Therefore [F6] makes constant on every admitted interval, and each exact subflow and the total flow preserve norm.
Direct multiplication gives This is the linear matrix of by [F1]. Also
By [F1], a Lie or Strang step is a composition of exact component flows. Each factor preserves norm by step 1.1, so the composition preserves norm by repeated application of the same equality.
For , the Lie coefficient is nonzero. The Strang coefficient is also nonzero, since its first coordinate is . Applying [F2] shows the exact subflows retain norm while the Lie and Strang maps have their respective nonzero local splitting defects.
Boundary-incompatible forcing reduces Strang order to five quarters in a Dirichlet modal model
Example
Use the sequence-space Dirichlet heat model in Diagonal Dirichlet sine-mode heat model with constant forcing with zero initial state and forcing coefficients for odd , zero for even . The generator-domain and boundary mismatch are certified by The diagonal heat semigroup has the stated generator domain and Constant Dirichlet forcing is square summable but outside the heat-generator domain. At a fixed time , the exact coordinatewise solution and the Strang approximation with steps satisfy for all sufficiently small , with constants . This is a rigorously specified modal example of boundary-induced order reduction. It is not a convergence theorem for general unbounded PDE operators.
Facts & Assumptions
Given: The sequence-space model, fixed , zero initial state, and uniform step .
Diagonal Dirichlet sine-mode heat model with constant forcing: acts by , on odd modes and on even modes, , and .
The diagonal heat semigroup has the stated generator domain: is a strongly continuous contraction semigroup whose generator domain is .
Constant Dirichlet forcing is square summable but outside the heat-generator domain: the constant forcing has these coefficients, lies in , and is outside the heat-generator domain because it fails the homogeneous Dirichlet boundary condition.
The real exponential function and the number by a power series, The exponential is positive and satisfies , The exponential addition formula , The exponential function is strictly increasing, and The exponential function is smooth and : the scalar exponential is positive, obeys its addition law, is strictly increasing, and has derivative .
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with : differentiable real functions satisfy the mean-value theorem on closed intervals.
Multivariable Taylor formula with a Lagrange remainder along a line segment: the exponential has a degree-two Taylor expansion with a cubic remainder on a bounded interval.
Square roots exist: a unique with ; the positives are , Squaring is monotone on the nonnegatives, and Inverses of positives are positive, and reciprocation reverses order: for , the positive root satisfies , so .
Real powers for positive bases, with the zero-base positive-exponent convention, The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents, and The exponential is positive and satisfies : for , and , so uniqueness of square roots gives . The power laws then give , , and .
Proof
For each mode, solving , , gives Differentiating verifies the equation and initial value. Also , so [F4] shows the reference state belongs to for every .
Put . By [F1], each Strang coordinate obeys Starting from zero and summing this scalar recurrence gives where the finite geometric identity follows by multiplying the sum by ; the denominator is positive because and the exponential is strictly increasing.
Define for real , and for . For , , because Thus [F6] gives , so . Direct differentiation gives , , and ; [F7] therefore gives on . Hence there.
By [F2] and [F3], this constant Dirichlet forcing is outside the generator domain and has nonzero boundary value while the sine modes vanish at both endpoints. The modal comparison below therefore concerns the boundary-incompatible data identified in the Statement.
Since , the identity turns the numerical value into the exact modal value times . Therefore for odd , and the error is zero for even .
The quotient is increasing for : its derivative has numerator , with and . Therefore decreases and increases. In particular on .
For sufficiently small , set ; [F8] gives . For odd , steps 2.2 and 1.3 give . The sum of their squared errors is at most . For , use and ; dyadic blocks contain at most integers and contribute at most . Summing the geometric series gives a tail at most . Thus the squared error is at most .
Choose sufficiently small that and . Then by [F8], so . The interval contains at least integers, and among any consecutive integers at least are odd; hence it contains at least odd integers. For each such , , , by step 2.3, and since and . Therefore the sum of squared errors over these modes is at least for a constant . Taking square roots of the upper bound in step 3.1 and this lower bound, then using [F9], proves the claimed two-sided error rate.
ARS(2,2,2) amplification on a two-cell reaction-diffusion grid
Example
Consider the two-cell no-flux graph diffusion matrix and the linear reaction-diffusion semidiscretization with reaction rate , diffusion coefficient . Treat reaction explicitly and diffusion implicitly in The ARS(2,2,2) additive tableau and its three stages. The constant mode has amplification , matching its reaction growth. With step , the nonconstant mode has amplification which lies strictly between and . This is a two-mode scalar calculation for a finite grid; it makes no nonnormal-matrix or PDE stability assertion.
Facts & Assumptions
Given: The matrix , reaction rate, diffusion coefficient, step size, and the ARS(2,2,2) tableau.
The ARS(2,2,2) additive tableau and its three stages: the explicit component is evaluated in the explicit tableau and the diffusion component is solved in the diagonally implicit tableau.
The ARS(2,2,2) bivariate scalar stability function: for scalar eigenvalues with , the ARS amplification is the stated rational function .
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes: matrix multiplication is evaluated entrywise by row-by-column multiplication.
Square roots exist: a unique with ; the positives are and Squaring is monotone on the nonnegatives: is positive, and for .
Proof
Direct multiplication gives for and for . These vectors are linearly independent, so they form a basis of and diagonalize both and .
On each span , every stage equation in [F1] remains in that span. The implicit denominators are on and on , so the stage solves are unique there. Hence [F2] applies with and or , respectively.
For and , , so [F2] gives This mode grows under the positive reaction term.
For , . Substituting [F3] into [F2] gives the displayed fraction, with denominator . By [F5], : squaring the positive endpoints gives . Thus the numerator is greater than and less than , while the denominator is greater than . Consequently .
Sources
- Uri M. Ascher, Steven J. Ruuth, and Raymond J. Spiteri, Implicit-explicit Runge-Kutta methods for time-dependent partial differential equations
- Ernst Hairer, Geometric Numerical Integration, Lecture 2: Symplectic Integrators
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations, complete 120-page graduate lecture notes
- Lorenzo Pareschi and Giovanni Russo, Implicit-explicit Runge-Kutta schemes and applications to hyperbolic systems with relaxation