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    The polynomial/exponential boundary in complexity theory ... — Carmelics
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    Challenges→Strict finitists anticipated the complexity-theoretic insight that exponentiation marks the boundary between the feasible and the infeasible.

    The polynomial/exponential boundary in complexity theory is a formal, machine-model-relative result dependent on Church-Turing thesis assumptions that strict finitists explicitly rejected.

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    Reasons For

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    Reason for
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    • 1.Church-Turing thesis is unprovable foundational assumption, not theorem, so complexity boundaries rest on non-logical philosophical commitments.
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    • 2.Strict finitists reject infinite sets and unbounded computation; P/NP distinction presupposes Turing machines operating on arbitrarily large inputs.
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    • 3.Different computational models (quantum, analog, hypercomputation) yield different complexity classes, showing boundaries are model-dependent conventions.
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    Reasons Against

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    Reason against
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    • 1.P/NP polynomial boundary holds across all standard Turing-equivalent models regardless of philosophical beliefs about finiteness or infinity.
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    • 2.Strict finitism's rejection of Church-Turing doesn't invalidate it; one can accept computational results while denying their philosophical interpretation.
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    • 3.Complexity classes measure worst-case feasibility for concrete inputs, not abstract infinite processes, grounding them in finitist-compatible terms.
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    Key Terms

    Church-Turing thesis(Presented as a thesis about the upper bound of computational power, not a proven fact.)
    The thesis that no computational system stronger than the class of Turing machines exists.
    Complexity theory(where analogous issues might appear)
    A branch of computer science and mathematics that studies how difficult different problems are to solve and how much computational power they require.
    Machine model(computer science)
    A theoretical blueprint for how a computer works—different designs (like a standard computer versus a quantum computer) count as different 'machine models,' and they can solve problems at different speeds.
    Polynomial(as used in mathematics and computer science)
    A mathematical expression (like x² + 3x + 2) whose growth rate is reasonable and manageable, as opposed to exponential growth which explodes very quickly.
    Strict finitists(as used in philosophy of mathematics)
    Philosophers and mathematicians who believe that only finite (limited, numbered) things truly exist, and that infinity is just a useful fiction rather than something real.
    exponential(describing the speed of improvements in computer hardware)
    Growing at an increasingly rapid rate, where the amount of growth itself keeps getting bigger (like compound interest in a bank account).

    Connections

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    Truth & Knowledge1 linkedModality & Possibility1 linked

    Related

    Church-Turing thesis is unprovable foundational assumption, not theorem, so comp...Complexity classes measure worst-case feasibility for concrete inputs, not abstr...

    Details

    Type
    claim
    Perspectives
    2 (1 for, 1 against)
    Edits
    1 edit
    Different computational models (quantum, analog, hypercomputation) yield differe...
    P/NP polynomial boundary holds across all standard Turing-equivalent models rega...
    +3 moreShow less
    Strict finitism's rejection of Church-Turing doesn't invalidate it; one can acce...Strict finitists anticipated the complexity-theoretic insight that exponentiatio...Strict finitists reject infinite sets and unbounded computation; P/NP distinctio...