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True complexity and iterated Cauchy--Schwarz
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We prove a polynomial bound in the "true complexity" problem of Gowers and Wolf. The proof uses only repeated applications of the Cauchy--Schwarz inequality, answering negatively a question posed by Gowers and Wolf. To choose and reason about the sequence of Cauchy--Schwarz steps needed, we need to introduce several layers of formalism and theory. The highest level of abstraction in this framework concerns building what we term "arithmetic circuits" encoding computations in multilinear algebra. It is plausible this machinery could be used to generate arithmetic inequalities in greater generality, and we state some conjectures along these lines.
Forward citations
Cited by 2 Pith papers
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On polynomial progressions via transference
For any integer polynomial P with P(0)=0, any subset of [N] avoiding x, x+P(y), ..., x+kP(y) has size at most N (log log log N)^{-c}, with stronger bounds when P'(0)!=0.
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Induced arithmetic removal for partition-regular patterns of complexity 1
Partition-regular complexity-1 arithmetic patterns admit exception-free induced removal: few pattern occurrences imply a small recolouring makes the space pattern-free.
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