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    In limited recursion on notation, the recursion depth is ... — Carmelics
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    Supports→Feasibility is preserved when a function is defined by limited recursion on notation

    In limited recursion on notation, the recursion depth is proportional to the length of y's binary representation rather than to y itself, placing a polynomial bound on the number of recursive calls

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    Truth & KnowledgeProof of definition segments

    Key Terms

    Binary representation(in computer science and mathematics)
    A way of writing numbers using only 0s and 1s, which is how computers store and process all information.
    Limited recursion(as used in mathematical logic)
    A mathematical or computational rule that allows a process to call itself, but only in restricted ways to avoid infinite loops or complexity.
    Polynomial bound

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    Related propositions within the same area of thought.
    (as used in mathematics and computer science)
    A mathematical limit that grows at a controlled, predictable rate (like squaring or cubing a number), rather than exploding exponentially.
    Recursion depth(in computer science)
    How many times a function calls itself before finishing—like how many Russian nesting dolls you have to open before reaching the smallest one.
    recursion(HCF's characterization of the core property of FLN)
    A cognitive universal capacity posited by HCF that underlies not only natural language but also arithmetic (counting and the successor function), and possibly navigation and social relations; not defined over specifically linguistic inputs and outputs.

    Related

    Feasibility is preserved under compositionFeasibility is preserved when a function is defined by limited recursion on nota...The basis functions F₀ are feasibly computableThe bounding condition f(x,y) ≤ k(x,y) places a polynomial bound on the auxiliar...

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    When f(x,y) is defined by limited recursion on notation, the number of...88%Limited recursion on notation recurses on the binary length of y — pro...86%Feasibility is preserved under limited recursion on notation, because ...86%The bound k(x,y) in limited recursion on notation places a polynomial ...86%

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    SEP: computational-complexity
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    The logic \(\textsf{SO}(\texttt{LFP})\) and \(\textsf{SO}(\texttt{TC})\) are defined analogously by adding these operators to \(\textsf{SO}\) and allowing them to apply to formulas containing second-order variables. e. models \(\mathcal{A}\) for structures interpreting \(\leq\) as a linear order on \(A\)). Immerman (1999, p. 3 as “increas[ing] our intuition that polynomial time is a class whose fundamental nature goes beyond the machine models with which it is usually defined”. e. \(\textbf{P} \

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