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Continuous-time linear state-space model
Definition
Assume the Axiom of Countable Choice, so the usual Lebesgue-measurable sets on form a complete measure space with Lebesgue measure . Every bounded interval is Lebesgue measurable, and any interval is the countable union of its bounded intersections with ; since the Lebesgue-measurable sets form a sigma-algebra, is measurable and restricts to . Let be or , let be an interval with , and let be finite. A continuous-time linear state-space model consists of matrices , , , , an initial value , and an input whose real and imaginary coordinates are Lebesgue measurable and integrable on every compact subinterval of . A state trajectory is a function whose real and imaginary coordinates are absolutely continuous on every compact subinterval of (with absolute continuity defined by the – condition on finite families of disjoint subintervals), with and outside a Lebesgue-null subset of . Its output is . The term is the direct input-to-output term and is separate from the state contribution .
Definition references
Gu, Goel, and Ré, “Efficiently Modeling Long Sequences with Structured State Spaces,” §2.1
Integrable real and complex functions, and their integrals
Absolute continuity on a compact interval
Lebesgue measurable sets, the family , and the restricted set function
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Integrable real and complex functions, and their integrals
- Absolute continuity on a compact interval
- Lebesgue measurable sets, the family $\mathcal{L}(\mathbb{R}^n)$, and the restricted set function $\lambda_n$
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
Used by
- DPLR structured state-space parameterization Definition
Dependency tree · two levels
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Sources
- Gu, Goel, and Ré, Efficiently Modeling Long Sequences with Structured State Spaces, §2.1 (standard reference, not scraped)