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The neutral derivative shift has a bounded Neumann inverse when
Statement
For the segment shift on the derivative-segment product, and for a mesh shift on an array of any finite length with under the same rule as in Scalar neutral delay equations and the derivative-segment shift, the supremum operator norm satisfies . Let for and for ; then . For , Here is the identity map and . For , use the zero-space norm and shift defined in the supplier: the identity and zero operator coincide, , and the finite sum over is the zero operator, which is the inverse on that zero space. Its operator norm is .
Facts & Assumptions
Given: Either a segment shift with or a mesh shift with and , and with .
shifts each derivative segment to its predecessor; the mesh shift inserts zeros in the first entries and copies the entry places earlier thereafter, with its explicitly defined zero-space norm and unique map when (Scalar neutral delay equations and the derivative-segment shift).
Proof
If the mesh array length is , [F1] gives a space with exactly one vector , of norm , and a unique self-map. This map is both the zero operator and the identity , and is this same operator. Thus and . The map is also the unique map, whose composite with itself is the identity; hence it is its own inverse. The finite sum over is the zero operator. Every term of the infinite series is also zero, including the term because as an operator on this space. Finally the operator-norm supremum is over the nonempty unit ball and equals . This proves all stated assertions for , without an empty real maximum. For the remaining proof use either the segment case or a mesh array with .
By [F1], every output coordinate of either shift is zero or an input coordinate. Taking the maximum of the component suprema therefore gives , so . After segment shifts every component is zero; after mesh shifts every array index has moved below zero and is zero. Thus in both cases.
Put . Multiplying the finite sum on either side by cancels adjacent terms and leaves , so is a two-sided inverse. Since , this finite sum equals the displayed infinite series.
Iterating the contraction bound in step 1.2 gives for every , hence . Thus . Multiplying this finite geometric sum by the positive number gives , hence .
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Sources
- M. Zennaro, The Numerical Solution of Delay Differential Equations, Dobbiaco 2006 summer-school lecture notes (standard reference, not scraped)
- Nicola Guglielmi and Ernst Hairer, Solving Delay Differential Equations, Chapter 1 (standard reference, not scraped)