Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generated
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Nearly dependent constraints make the multiplier solve ill conditioned

Example

For 0<ϵ≤1, take M=I3 and cϵ(q)=(q3,q3+ϵq2). The Jacobian has full row rank for every fixed ϵ>0, but Aϵ=JϵJϵT=(1111+ϵ2) has smallest eigenvalue 2ϵ2/(2+ϵ2+4+ϵ4)∼ϵ2/2. Thus the inverse multiplier bound in the RATTLE residual estimate is not uniform as the constraints approach dependence. At ϵ=0 the rank hypothesis fails.

Facts & Assumptions

Given: The family cϵ, M=I3, and the RATTLE multiplier matrix Aϵ in the Example.

[F1]

Regular holonomic phase space and constrained dynamics: regularity requires full row rank of J and invertibility of A=JM−1JT.

[F2]

Scaled RATTLE residuals bound the finite solve trajectory error: on a fixed compact phase tube, residual-to-state constants depend in particular on uniform inverse bounds for the multiplier matrices; each fixed ϵ>0 is regular, but these inverse bounds are not uniform as ϵ↓0.

Verification

1.1givenF1algebra

The two rows (0,0,1) and (0,ϵ,1) of Jϵ are linearly independent exactly when ϵ>0. Their Gram matrix is the displayed Aϵ, whose trace is 2+ϵ2 and determinant is ϵ2.

2.1step 1.1algebra

The quadratic formula gives its eigenvalues (2+ϵ2±4+ϵ4)/2. Rationalizing the smaller one gives 2ϵ2/(2+ϵ2+4+ϵ4), so ϵ−2λmin⁡(Aϵ)→1/2 and ∥Aϵ−1∥2→∞.

3.1F1F2step 2.1∎

Consequently no single residual-to-multiplier constant works for this family as ϵ↓0; this is consistent with [F2], whose uniform estimates assume a fixed compact chart with uniformly bounded A−1. At ϵ=0 the two rows coincide, so [F1]'s full-rank hypothesis fails.

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