一类真复杂性系统的好界

IF 1 3区 数学 Q1 MATHEMATICS
Discrete Analysis Pub Date : 2017-05-01 DOI:10.19086/da.6814
Freddie Manners
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For example, \n\n$$\\|f\\|_{U^2}^4=\\mathbb E_{x,a,b}f(x)\\overline{f(x+a)f(x+b)}f(x+a+b).$$\n\nA key lemma in his proof was that for any $k$ such functions $f_1,\\dots,f_k$ that take values of modulus at most 1, one has the inequality\n\n$$|\\mathbb E_{x,d}f_1(x)f_2(x+d)\\dots f_k(x+(k-1)d)|\\leq\\min_i\\|f_i\\|_{U^{k-1}}.$$\n\nThis lemma was proved using repeated applications of the Cauchy-Schwarz inequality. In such a situation we say that the average on the left-hand side is _controlled by the $U^{k-1}$ norm_. \n\nLater, as part of their work on linear equations in the primes, Green and Tao considered more general expressions such as\n\n$$\\mathbb E_{x,y,z}f(x+y)f(y+z)f(x+z)f(x+y+z),$$\n\nfinding for each one a $k$ such that the expression is controlled by the $U^k$ norm. Their proof was a generalization of that of Gowers -- again, it used repeated applications of the Cauchy-Schwarz inequality. \n\nThe $U^k$ norms increase with $k$, so if the average is controlled by the $U^k$ norm, then it is controlled by the $U^\\ell$ norm for all $\\ell>k$. It is therefore natural to ask what the minimal $k$ is that works for any given average of a product over linear forms. This question was examined in a series of papers of Gowers and Wolf, who conjectured that the average\n\n$$\\mathbb E_{x_1,\\dots,x_r}f_1(L_1(x_1,\\dots,x_r)\\dots f_s(L_s(x_1,\\dots,x_r))$$\n\nis controlled by the $U^k$ norm if and only if the functions $L_1^k,\\dots,L_s^k$ are linearly independent. To understand what this says, note that if the linear forms are $x, x+d, x+2d, x+3d$, then we have that $x^2-3(x+d)^2+3(x+2d)^2-(x+3d)^2=0$, so the $U^2$ norm does not control the average $\\mathbb E_{x,d}f(x)f(x+d)f(x+2d)f(x+3d)$, but the cubes of the functions are linearly independent, so the $U^3$ norm does control it. Simple examples show that the independence condition is necessary, and in the case of arithmetic progressions, it agrees with the bound in the other direction that comes from the Cauchy-Schwarz argument. However, there are other systems of linear forms where the conjectured bound is strictly smaller than the bound proved by Green and Tao.\n\nGowers and Wolf proved their conjecture in many cases, and the remaining cases were proved by Green and Tao, and Hatami, Hatami and Lovett. All these proofs used difficult results known as inverse theorems for the $U^k$ norms, due to Bergelson, Tao and Ziegler, and Green, Tao and Ziegler. Since those theorems were known with only very poor bounds, the dependence of the averages on the $U^k$ norm given by these proofs was also very weak. \n\nThe situation is now improved, thanks largely to a very recent paper by the author of this one, but using the inverse theorems is still expensive. In this paper, however, it is shown, very surprisingly, that for products over six linear forms, it is possible to prove the result using the Cauchy-Schwarz inequality alone. This is in a sense the first interesting case of the theorem, since one needs six linear forms to obtain systems for which a straightforward Cauchy-Schwarz argument proves $U^3$ control, but in fact one has $U^2$ control.\n\nAs that last sentence suggests, the argument in this paper is anything but straightforward. Of course, the Cauchy-Schwarz inequality itself is not complicated, but the way the repeated applications are put together is highly ingenious. It is also shown in the paper that the ingenuity is in a certain sense necessary. As the author puts it, \"the issue is that the Cauchy–Schwarz steps used must necessarily be tailor-made to the system Φ being considered. The task of describing a mapping from systems to Cauchy–Schwarz arguments could be likened to that of building a primitive computer using only the Cauchy–Schwarz inequality.\" He demonstrates the necessity by proving that the bound genuinely depends not just on the number of linear forms but also on their coefficients. By contrast, the Cauchy-Schwarz argument in the paper of Green and Tao is uniform in the coefficients.","PeriodicalId":37312,"journal":{"name":"Discrete Analysis","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Good Bounds in Certain Systems of True Complexity One\",\"authors\":\"Freddie Manners\",\"doi\":\"10.19086/da.6814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Good bounds in certain systems of true complexity one, Discrete Analysis 2018:21, 40 pp.\\n\\nIn his analytic proof of Szemeredi's theorem, Gowers introduced a sequence of norms, now known as the $U^k$ norms, given by the formula\\n\\n$$\\\\|f\\\\|_{U^k}^{2^k}=\\\\mathbb E_{x,a_1,\\\\dots,a_k}\\\\prod_{\\\\epsilon\\\\in\\\\{0,1\\\\}^k}C^{|\\\\epsilon|}f\\\\Bigl(x+\\\\sum_i\\\\epsilon_ia_i\\\\Bigr),$$\\n\\nwhere $f$ is a complex-valued function defined on a finite Abelian group, $C$ is the operation of complex conjugation and $|\\\\epsilon|=\\\\sum_i\\\\epsilon_i$. For example, \\n\\n$$\\\\|f\\\\|_{U^2}^4=\\\\mathbb E_{x,a,b}f(x)\\\\overline{f(x+a)f(x+b)}f(x+a+b).$$\\n\\nA key lemma in his proof was that for any $k$ such functions $f_1,\\\\dots,f_k$ that take values of modulus at most 1, one has the inequality\\n\\n$$|\\\\mathbb E_{x,d}f_1(x)f_2(x+d)\\\\dots f_k(x+(k-1)d)|\\\\leq\\\\min_i\\\\|f_i\\\\|_{U^{k-1}}.$$\\n\\nThis lemma was proved using repeated applications of the Cauchy-Schwarz inequality. In such a situation we say that the average on the left-hand side is _controlled by the $U^{k-1}$ norm_. \\n\\nLater, as part of their work on linear equations in the primes, Green and Tao considered more general expressions such as\\n\\n$$\\\\mathbb E_{x,y,z}f(x+y)f(y+z)f(x+z)f(x+y+z),$$\\n\\nfinding for each one a $k$ such that the expression is controlled by the $U^k$ norm. Their proof was a generalization of that of Gowers -- again, it used repeated applications of the Cauchy-Schwarz inequality. \\n\\nThe $U^k$ norms increase with $k$, so if the average is controlled by the $U^k$ norm, then it is controlled by the $U^\\\\ell$ norm for all $\\\\ell>k$. It is therefore natural to ask what the minimal $k$ is that works for any given average of a product over linear forms. This question was examined in a series of papers of Gowers and Wolf, who conjectured that the average\\n\\n$$\\\\mathbb E_{x_1,\\\\dots,x_r}f_1(L_1(x_1,\\\\dots,x_r)\\\\dots f_s(L_s(x_1,\\\\dots,x_r))$$\\n\\nis controlled by the $U^k$ norm if and only if the functions $L_1^k,\\\\dots,L_s^k$ are linearly independent. To understand what this says, note that if the linear forms are $x, x+d, x+2d, x+3d$, then we have that $x^2-3(x+d)^2+3(x+2d)^2-(x+3d)^2=0$, so the $U^2$ norm does not control the average $\\\\mathbb E_{x,d}f(x)f(x+d)f(x+2d)f(x+3d)$, but the cubes of the functions are linearly independent, so the $U^3$ norm does control it. Simple examples show that the independence condition is necessary, and in the case of arithmetic progressions, it agrees with the bound in the other direction that comes from the Cauchy-Schwarz argument. However, there are other systems of linear forms where the conjectured bound is strictly smaller than the bound proved by Green and Tao.\\n\\nGowers and Wolf proved their conjecture in many cases, and the remaining cases were proved by Green and Tao, and Hatami, Hatami and Lovett. All these proofs used difficult results known as inverse theorems for the $U^k$ norms, due to Bergelson, Tao and Ziegler, and Green, Tao and Ziegler. 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引用次数: 7

摘要

在某些真复杂系统中的好边界一,离散分析2018:21,40页。在Szemerdi定理的分析证明中,Gowers引入了一系列范数,现在称为$U^k$范数,由公式$$\|f\|_{U^k}^{2^k}=\mathbb E_{x,a_1,\dots,a_k}\prod_{\epsilon\in\{0,1\}^k}C^{|\epsilon|}f\Bigl(x+\sum_i\epsilon.ia_i\Bigr)给出,$$,其中$f$是在有限阿贝尔群上定义的复值函数,$C$是复共轭运算,$|\epsilon|=\sum_i\epsilon_i$。例如,$$\|f\|_{U^2}^4=\mathbb E_{x,a,b}f(x) \overline{f(x+a)f(x+b)}f(x+a+b)$$他的证明中的一个关键引理是,对于模值至多为1的任何$k$这样的函数$f_1,\dots,f_k$,都有不等式$$|\mathbb E_{x,d}f_1(x) f_2(x+d)\点f_k(x+(k-1)d)|\leq\min_i\|f_i\|_{U^{k-1}}$$这个引理是用Cauchy-Schwarz不等式的重复应用证明的。在这种情况下,我们说左侧的平均值由$U^{k-1}$norm_控制。后来,作为研究素数中线性方程的工作的一部分,Green和Tao考虑了更通用的表达式,如$$\mathbb E_{x,y,z}f(x+y)f(y+z)f(x+z)f(x+y+z。他们的证明是Gowers的证明的推广——同样,它使用了Cauchy-Schwarz不等式的重复应用。$U^k$范数随$k$而增加,因此,如果平均值由$U^k+范数控制,则它由所有$\ell>k$的$U^\ell$范数控制。因此,很自然地会问,对于线性形式上的乘积的任何给定平均值,最小$k$是多少。Gowers和Wolf在一系列论文中研究了这个问题,他们推测平均$$\mathbb E_{x_1,\dots,x_r}f_1(L_1(x_1,.dots,x_r)\dots f_s(L_s(x_1、.dots,x_r))$$受$U^k$范数控制,当且仅当函数$L_1^k、\dots、L_s^k$是线性独立的。要理解这意味着什么,请注意,如果线性形式是$x,x+d,x+2d,x+3d$,那么我们有$x^2-3(x+d)^2+3(x+2d)^2-(x+3d)^2=0$,所以$U^2$范数不控制平均值$\mathbb E_{x,d}f(x) f(x+c)f(x+2d)f(x+3d)$,但函数的立方体是线性独立的,因此$U^3$范数确实控制了它。简单的例子表明,独立条件是必要的,并且在算术级数的情况下,它与来自Cauchy-Schwarz论点的另一个方向的界一致。然而,还有其他线性形式的系统,其中推测的界严格小于Green和Tao证明的界。Gowers和Wolf在许多情况下证明了他们的猜想,剩下的情况由Green和Tao以及Hatami、Hatami和Lovett证明。所有这些证明都使用了被称为$U^k$范数的逆定理的困难结果,这是由于Bergelson,Tao和Ziegler,以及Green,Tao,Ziegler。由于这些定理的界很差,因此这些证明给出的平均值对$U^k$范数的依赖性也很弱。这种情况现在得到了改善,这在很大程度上要归功于作者最近的一篇论文,但使用逆定理仍然很昂贵。然而,在本文中,非常令人惊讶地表明,对于六种线性形式上的乘积,可以单独使用Cauchy-Schwarz不等式来证明结果。从某种意义上说,这是该定理的第一个有趣的例子,因为需要六种线性形式来获得系统,对于这些系统,简单的Cauchy-Schwarz论证证明了$U^3$控制,但实际上有$U^2$控制。正如最后一句话所表明的那样,本文中的论点绝非直截了当。当然,柯西-施瓦兹不等式本身并不复杂,但将重复应用组合在一起的方式非常巧妙。文章还表明,这种独创性在一定意义上是必要的。正如作者所说,“问题是,所使用的Cauchy-Schwarz步骤必须是针对所考虑的系统Φ量身定制的。描述从系统到Cauchy-施瓦茨论点的映射的任务可以比作只使用Cauchy-Schwarz不等式构建原始计算机的任务。”。“他通过证明界不仅真正取决于线性形式的数量,还取决于它们的系数来证明这一必要性。相比之下,Green和Tao论文中的Cauchy-Schwarz论点在系数上是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Good Bounds in Certain Systems of True Complexity One
Good bounds in certain systems of true complexity one, Discrete Analysis 2018:21, 40 pp. In his analytic proof of Szemeredi's theorem, Gowers introduced a sequence of norms, now known as the $U^k$ norms, given by the formula $$\|f\|_{U^k}^{2^k}=\mathbb E_{x,a_1,\dots,a_k}\prod_{\epsilon\in\{0,1\}^k}C^{|\epsilon|}f\Bigl(x+\sum_i\epsilon_ia_i\Bigr),$$ where $f$ is a complex-valued function defined on a finite Abelian group, $C$ is the operation of complex conjugation and $|\epsilon|=\sum_i\epsilon_i$. For example, $$\|f\|_{U^2}^4=\mathbb E_{x,a,b}f(x)\overline{f(x+a)f(x+b)}f(x+a+b).$$ A key lemma in his proof was that for any $k$ such functions $f_1,\dots,f_k$ that take values of modulus at most 1, one has the inequality $$|\mathbb E_{x,d}f_1(x)f_2(x+d)\dots f_k(x+(k-1)d)|\leq\min_i\|f_i\|_{U^{k-1}}.$$ This lemma was proved using repeated applications of the Cauchy-Schwarz inequality. In such a situation we say that the average on the left-hand side is _controlled by the $U^{k-1}$ norm_. Later, as part of their work on linear equations in the primes, Green and Tao considered more general expressions such as $$\mathbb E_{x,y,z}f(x+y)f(y+z)f(x+z)f(x+y+z),$$ finding for each one a $k$ such that the expression is controlled by the $U^k$ norm. Their proof was a generalization of that of Gowers -- again, it used repeated applications of the Cauchy-Schwarz inequality. The $U^k$ norms increase with $k$, so if the average is controlled by the $U^k$ norm, then it is controlled by the $U^\ell$ norm for all $\ell>k$. It is therefore natural to ask what the minimal $k$ is that works for any given average of a product over linear forms. This question was examined in a series of papers of Gowers and Wolf, who conjectured that the average $$\mathbb E_{x_1,\dots,x_r}f_1(L_1(x_1,\dots,x_r)\dots f_s(L_s(x_1,\dots,x_r))$$ is controlled by the $U^k$ norm if and only if the functions $L_1^k,\dots,L_s^k$ are linearly independent. To understand what this says, note that if the linear forms are $x, x+d, x+2d, x+3d$, then we have that $x^2-3(x+d)^2+3(x+2d)^2-(x+3d)^2=0$, so the $U^2$ norm does not control the average $\mathbb E_{x,d}f(x)f(x+d)f(x+2d)f(x+3d)$, but the cubes of the functions are linearly independent, so the $U^3$ norm does control it. Simple examples show that the independence condition is necessary, and in the case of arithmetic progressions, it agrees with the bound in the other direction that comes from the Cauchy-Schwarz argument. However, there are other systems of linear forms where the conjectured bound is strictly smaller than the bound proved by Green and Tao. Gowers and Wolf proved their conjecture in many cases, and the remaining cases were proved by Green and Tao, and Hatami, Hatami and Lovett. All these proofs used difficult results known as inverse theorems for the $U^k$ norms, due to Bergelson, Tao and Ziegler, and Green, Tao and Ziegler. Since those theorems were known with only very poor bounds, the dependence of the averages on the $U^k$ norm given by these proofs was also very weak. The situation is now improved, thanks largely to a very recent paper by the author of this one, but using the inverse theorems is still expensive. In this paper, however, it is shown, very surprisingly, that for products over six linear forms, it is possible to prove the result using the Cauchy-Schwarz inequality alone. This is in a sense the first interesting case of the theorem, since one needs six linear forms to obtain systems for which a straightforward Cauchy-Schwarz argument proves $U^3$ control, but in fact one has $U^2$ control. As that last sentence suggests, the argument in this paper is anything but straightforward. Of course, the Cauchy-Schwarz inequality itself is not complicated, but the way the repeated applications are put together is highly ingenious. It is also shown in the paper that the ingenuity is in a certain sense necessary. As the author puts it, "the issue is that the Cauchy–Schwarz steps used must necessarily be tailor-made to the system Φ being considered. The task of describing a mapping from systems to Cauchy–Schwarz arguments could be likened to that of building a primitive computer using only the Cauchy–Schwarz inequality." He demonstrates the necessity by proving that the bound genuinely depends not just on the number of linear forms but also on their coefficients. By contrast, the Cauchy-Schwarz argument in the paper of Green and Tao is uniform in the coefficients.
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来源期刊
Discrete Analysis
Discrete Analysis Mathematics-Algebra and Number Theory
CiteScore
1.60
自引率
0.00%
发文量
1
审稿时长
17 weeks
期刊介绍: Discrete Analysis is a mathematical journal that aims to publish articles that are analytical in flavour but that also have an impact on the study of discrete structures. The areas covered include (all or parts of) harmonic analysis, ergodic theory, topological dynamics, growth in groups, analytic number theory, additive combinatorics, combinatorial number theory, extremal and probabilistic combinatorics, combinatorial geometry, convexity, metric geometry, and theoretical computer science. As a rough guideline, we are looking for papers that are likely to be of genuine interest to the editors of the journal.
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