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Linear numerical boundary-value problems — Examples

1 · Prerequisites

2 · Summary

Examples

The first example shows that the scheme represents its exact quadratic solution on every mesh. The second computes the global error produced by a first-order backward difference for a Neumann endpoint: the interior stencil is exact on a quadratic, but the boundary closure yields a max error of exactly h/2. This mixed-boundary example illustrates the retained boundary-closure warning and is outside the theorem's zero-Dirichlet hypotheses. The last example defines the row-sum matrix norm, proves its equivalence with the induced infinity operator norm, and exhibits the uniform 1/8 inverse bound sharply at N=3.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

The quadratic Dirichlet solution is represented exactly

Example

Take g(x)=1 and u(x)=x(1−x)/2 on [0,1]. Then −u′′=g and u(0)=u(1)=0. We verify that the scheme in Centered finite differences for the zero-Dirichlet boundary-value problem returns its exact nodal values for every N≥1.

Facts & Assumptions

Given: The function u(x)=x(1−x)/2, data g(x)=1, and an integer N≥1.

[F1]

Centered finite differences for the zero-Dirichlet boundary-value problem uses xj=jh, the interior equations (−Uj−1+2Uj−Uj+1)/h2=g(xj), and the exact endpoint values U0=UN+1=0.

[F2]

Discrete maximum principle and uniform inverse bound for the Dirichlet stencil proves that, for every admissible exact input, the Thomas recurrence returns the unique solution of this finite-difference system and neither linear-solve-failure branch is reached.

Verification

1.1givenalgebra

Differentiating u(x)=x(1−x)/2 gives u′′(x)=−1, so −u′′=1; also u(0)=u(1)=0.

1.2givenF1algebra

Let uj=u(xj). Since u is quadratic, direct substitution gives −uj−1+2uj−uj+1=h2 for every interior j; its two endpoint values are zero. Thus the samples satisfy the system in [F1].

2.1step 1.2F2algebra∎

By [F2] the system has a unique solution, so the algorithm's output equals (u1,…,uN) and its nodal error is exactly zero for every N≥1.

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A first-order Neumann closure limits the global rate

Example

Fix c∈R and consider the mixed-boundary problem −u′′=1 on (0,1), u(0)=0, u′(1)=c. On the grid xj=jh, h=1/(N+1), use the same centered interior stencil as Centered finite differences for the zero-Dirichlet boundary-value problem, but close the right boundary with the first-order backward difference (UN+1−UN)/h=c. The exact solution is u(x)=−x2/2+(c+1)x. This example changes the boundary condition and closure; it makes no claim that the assigned zero-Dirichlet theorem covers Neumann data.

Facts & Assumptions

Given: N≥1, h=1/(N+1), c∈R, the BVP and finite-difference equations in the Example, and the exact sampled values Uˉj=u(xj).

[F1]

Centered finite differences for the zero-Dirichlet boundary-value problem supplies the uniform nodes xj=jh and centered interior operator (−Uj−1+2Uj−Uj+1)/h2; this example replaces its right Dirichlet closure by the stated backward-difference condition.

Verification

1.1givenalgebra

For u(x)=−x2/2+(c+1)x, one has u′′=−1, u(0)=0, and u′(1)=−(1)+(c+1)=c, so u solves the stated mixed-boundary BVP.

1.2givenF1constructalgebra

Put dj=Uj−Uj−1. Each interior equation is equivalent to dj+1=dj−h2, while the boundary closure sets dN+1=hc. Starting from this last difference and applying dj=dj+1+h2 for j=N,…,1 determines every dj; then U0=0 and Uj=Uj−1+dj determine a unique discrete vector.

2.1givenF1step 1.1algebra

The exact quadratic samples satisfy each centered interior equation exactly. Their final backward difference is (UˉN+1−UˉN)/h=u′(1)−hu′′(1)/2=c+h/2, so the boundary difference error for ej:=Uj−Uˉj is eN+1−eN=−h2/2.

3.1step 2.1algebra

Subtracting the identical interior equations gives 2ej−ej−1−ej+1=0, hence the increments ej−ej−1 are constant. Since e0=0 and the final increment is −h2/2 by step 2.1, every increment equals −h2/2, and therefore ej=−jh2/2=−hxj/2 for 0≤j≤N+1.

4.1step 3.1givenalgebra∎

Thus max⁡0≤j≤N+1∣ej∣=h/2. This is not O(h2) as N→∞: such a bound would imply 1/(2h)≤C for all h=1/(N+1), whereas 1/(2h)=(N+1)/2 is unbounded. The first-order boundary closure has reduced the global rate to first order despite the interior stencil being exact on the quadratic solution.

Remarks

The modified problem has a Neumann condition at the right endpoint, so this is a boundary-closure witness rather than a counterexample to the zero-Dirichlet error theorem.

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The inverse infinity row-sum bound is uniform and sharp

Example

For a real matrix B=(bij), define its row-sum matrix norm by ∥B∥row,∞:=max⁡i∑j∣bij∣. For the matrices Ah from Centered finite differences for the zero-Dirichlet boundary-value problem, this norm of Ah−1 is at most 1/8 for every N≥1; at N=3 it is exactly 1/8.

Facts & Assumptions

Given: The row-sum norm just defined, the Dirichlet matrices Ah for N≥1, and the inverse bound of Discrete maximum principle and uniform inverse bound for the Dirichlet stencil.

[F1]

Centered finite differences for the zero-Dirichlet boundary-value problem defines Ah=h−2tridiag⁡(−1,2,−1) with h=1/(N+1).

[F2]

Discrete maximum principle and uniform inverse bound for the Dirichlet stencil proves ∥Ah−1r∥∞≤∥r∥∞/8 for every r∈RN.

[F3]

The triangle inequality gives ∣x+y∣≤∣x∣+∣y∣ for real x,y.

Verification

1.1givenF3algebra

The row-sum expression is nonnegative and equals zero only when every matrix entry is zero; ∥λB∥row,∞=∣λ∣∥B∥row,∞; and [F3] applied entrywise gives ∥B+C∥row,∞≤∥B∥row,∞+∥C∥row,∞. Hence it is a matrix norm.

1.2F1algebra

At N=3, h=1/4 and [F1] gives Ah=16T with T=(2−10−12−10−12). Direct multiplication gives Ah−1=164(321242123), since the displayed integer matrix multiplied by T is 4I3.

2.1givenstep 1.1choosealgebra

Its value equals the induced infinity operator norm sup⁡∥z∥∞≤1∥Bz∥∞: for every such z, each row obeys ∣(Bz)i∣≤∑j∣bij∣, while a row i0 attaining the finite maximum is attained by the vector zj=sgn⁡(bi0j), with sgn⁡(0)=0.

3.1F2step 2.1

By [F2], ∥Ah−1z∥∞≤1/8 whenever ∥z∥∞≤1. Taking the supremum and using step 2.1 shows ∥Ah−1∥row,∞≤1/8 for every N.

4.1step 3.1step 1.2algebra∎

The three absolute row sums of this inverse are 6/64, 8/64, and 6/64, so its row-sum norm is 8/64=1/8. Along with the uniform bound in step 3.1, this proves the stated example and shows its constant is attained.

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