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    Feasibility is preserved under limited recursion on notat... — Carmelics
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    Home/Modality & Possibility
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    Supports→The definition of the class F can be understood as an independently motivated analysis of feasible computability.

    Feasibility is preserved under limited recursion on notation, because the number of recursive steps is proportional to the binary length of the input rather than to the input value itself.

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    Key Terms

    Binary length(in mathematics and computer science)
    The number of digits you need to write a number in binary (using only 0s and 1s), which tells you roughly how many times you need to multiply 2 by itself to reach that number.
    Feasibility(as used in logic and computation)
    Whether something is actually possible to do in practice, considering real-world limitations like time and resources—not just theoretically possible.

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    Related propositions within the same area of thought.
    Input value(as used in computer science)
    The actual number or data you put into a calculation or program—for example, the number 1,000,000 has a huge value but a short binary length.
    Proportional(as used in mathematical relationships)
    Growing or changing at the same rate as something else—if one thing doubles, the other doubles too.
    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.

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    Related

    Feasibility is preserved under composition.The basis functions F_0 are feasibly computable on pre-theoretical grounds.The bound k(x,y) in limited recursion on notation places a polynomial constraint...The definition of the class F can be understood as an independently motivated an...

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    Feasibility is preserved under limited recursion on notation90%Feasibility is preserved when a function is defined by limited recursi...87%When f(x,y) is defined by limited recursion on notation, the number of...87%In limited recursion on notation, the recursion depth is proportional ...86%

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    The availability of such characterizations is often taken to provide additional evidence for the mathematical robustness of classes like \(\textbf{NP}\). 2 generalizes to provide a characterization of the classes which comprise the Polynomial Hierarchy. For instance, the logics \(\Sigma^1_i\) and \(\Pi^1_i\) uniformly capture the complexity classes \(\Sigma^P_i\) and \(\Pi^P_i\) (where \(\mathsf{SO}\exists = \Sigma^1_1\) ). e. full second-order logic) captures \(\textbf{PH}\) itself. On the othe

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