Paper VI visual guide · Visual 16 of 42 · FRACTIONAL DEFECTS / NEAR ZERO VERSUS AWAY FROM ZERO

A gap changes the error scale

Traditional Part I: Theorem 10.3 and Corollary 10.4. Separate generator error from fractional error.

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The function \(a\mapsto\sqrt a\) changes most rapidly near zero. A scalar model already shows why a spectral gap appears in fractional-defect estimates:

\[ |\sqrt\varepsilon-\sqrt0|=\sqrt\varepsilon, \qquad \sqrt{1+\varepsilon}-1 =\frac{\varepsilon}{\sqrt{1+\varepsilon}+1}\le\frac\varepsilon2. \]

The same input difference has a square-root scale at zero and a linear bound above a fixed positive lower bound.

Square-root perturbation curves are compared with and without a gap.
Original drawing. Read the description below; expand the labels and data for selectable text.

Reading the drawing

The horizontal axis is generator perturbation. The upper curve is the ungapped difference; the lower curve is the gapped difference. A straight certificate is shown alongside the gapped case, and the note states the limitation at zero.

Drawing labels and data 16 labels

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  • 0
  • 0.25
  • 0.5
  • 0.75
  • 1
  • 0
  • 0.25
  • 0.5
  • 0.75
  • 1
  • generator perturbation \(\varepsilon\)
  • square-root difference
  • no gap: \(\sqrt{\varepsilon}\)
  • gap one: \(\sqrt{1+\varepsilon}-1\)
  • certificate: \(\varepsilon/2\)

No uniform linear bound
can hold at zero.

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Evidence note from the source edition

The upper curve compares \(0\) with \(\varepsilon\). The lower curve compares \(1\) with \(1+\varepsilon\). The dotted line \(\varepsilon/2\) bounds the latter. All plotted values come from the displayed scalar formulas.

Read an operator bound with its hypotheses

For positive self-adjoint finite matrices \(A,B\ge mI\) and \(0<\alpha<1\), the manuscript's gapped estimate has the form

\[ {\left\lVert CA^\alpha-B^\alpha C\right\rVert} \le \alpha m^{\alpha-1}{\left\lVert CA-BC\right\rVert}. \]

It concerns an intertwining defect, not just two eigenvalue lists. With \(C=1\), \(A=4\), \(B=9\), \(m=4\), and \(\alpha=1/2\), the generator defect has size \(5\), the fractional defect has size \(1\), and the bound is \(5/4\).

The common zero mode of a Markov generator cannot simply be included in a positive-gap estimate. One must either work on an appropriate gapped subspace, handle the zero mode separately, or use the gapless estimate. In particular, a good estimate on each finite level need not have a constant uniform in the refinement level.

On Visual 27, the sequences \(1/n^2\) and \(1/n\) turn this change in error scale into a concrete distinction between summable and nonsummable defects.

Read this as

A fixed gap is quantitative information. It prevents the derivative of the fractional function from becoming singular along the comparison.

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