Proceedings of the London Mathematical Society· 2018Q1
Nested efficient congruencing and relatives of Vinogradov's mean value theorem
- 126citations
- Q1SCImago
- 2018year
Short summary
A new nested efficient congruencing method provides improved estimates for mean values related to Vinogradov's theorem, confirming the main conjecture for all exponents k without using multilinear Kakeya estimates.
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Key points
- A novel nested efficient congruencing method is applied to estimate Vinogradov-type mean values.
- The method establishes an upper bound for a sum involving polynomials with non-vanishing Wronskian.
- This result confirms the main conjecture of Vinogradov's mean value theorem for all exponents k.
- The approach does not rely on multilinear Kakeya estimates, offering greater flexibility.
AI-generated from the title and abstract; the full text is not read.
Abstract
We apply a nested variant of multigrade efficient congruencing to estimate mean values related to that of Vinogradov. We show that when φ j ∈ Z [ t ] ( 1 ⩽ j ⩽ k ) is a system of polynomials with non-vanishing Wronskian, and s ⩽ k ( k + 1 ) / 2 , then for all complex sequences ( a n ) , and for each ε > 0 , one has ∫ [ 0 , 1 ) k ∑ | n | ⩽ X a n e ( α 1 φ 1 ( n ) + ⋯ + α k φ k ( n ) ) 2 s d α ≪ X ε ∑ | n | ⩽ X | a n | 2 s . As a special case of this result, we confirm the main conjecture in Vinogradov's mean value theorem for all exponents k, recovering the recent conclusions of the author (for k = 3 ) and Bourgain, Demeter and Guth (for k ⩾ 4 ). In contrast with the l 2 -decoupling method of the latter authors, we make no use of multilinear Kakeya estimates, and thus our methods are of sufficient flexibility to be applicable in algebraic number fields, and in function fields. We outline such extensions.
The authors' abstract, as published at the source. Proceedings of the London Mathematical Society, 2018 · DOI ↗
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Field: Algebra and Number Theory
Algebra and Number TheoryMathematics