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Hausdorff–Young inequality

The Hausdorff−Young inequality is a foundational result in the mathematical field of Fourier analysis. As a statement about Fourier series, it was discovered by William Henry Young (1913) and extended by Hausdorff (1923). It is now typically understood as a rather direct corollary of the Plancherel theorem, found in 1910, in combination with the Riesz-Thorin theorem, originally discovered by Marcel Riesz in 1927. With this machinery, it readily admits several generalizations, including to multidimensional Fourier series and to the Fourier transform on the real line, Euclidean spaces, as well as more general spaces. With these extensions, it is one of the best-known results of Fourier analysis, appearing in nearly every introductory graduate-level textbook on the subject.

The nature of the Hausdorff-Young inequality can be understood with only Riemann integration and infinite series as prerequisite. Given a continuous function f:(0,1)→ℝ, define its "Fourier coefficients" by

for each integer n. The Hausdorff-Young inequality says that

Loosely speaking, this can be interpreted as saying that the "size" of the function f, as represented by the right-hand side of the above inequality, controls the "size" of its sequence of Fourier coefficients, as represented by the left-hand side.

However, this is only a very specific case of the general theorem. The usual formulations of the theorem are given below, with use of the machinery of Lp spaces and Lebesgue integration.

The conjugate exponent edit

Given a nonzero real number p, define the real number p' (the "conjugate exponent" of p) by the equation

 

If p is equal to one, this equation has no solution, but it is interpreted to mean that p' is infinite, as an element of the extended real number line. Likewise, if p is infinite, as an element of the extended real number line, then this is interpreted to mean that p' is equal to one.

The commonly understood features of the conjugate exponent are simple:

  • the conjugate exponent of a number in the range [1,2] is in the range [2,∞]
  • the conjugate exponent of a number in the range [2,∞] is in the range [1,2]
  • the conjugate exponent of 2 is 2

Statements of the theorem edit

Fourier series edit

Given a function   one defines its "Fourier coefficients" as a function   by

 

although for an arbitrary function f, these integrals may not exist. Hölder's inequality shows that if f is in Lp(0,1) for some number p∈[1,∞], then each Fourier coefficient is well-defined.

The Hausdorff-Young inequality says that, for any number p in the interval (1,2], one has

 

for all f in Lp(0,1). Conversely, still supposing p∈(1,2], if   is a mapping for which

 

then there exists   whose Fourier coefficients are c and with

 

References. Section XII.2 in volume II of Zygmund's book

Multidimensional Fourier series edit

The case of Fourier series generalizes to the multidimensional case. Given a function   define its Fourier coefficients   by

 

As in the case of Fourier series, the assumption that f is in Lp for some value of p in [1,∞] ensures, via the Hölder inequality, the existence of the Fourier coefficients. Now, the Hausdorff-Young inequality says that if p is in the range [1,2], then

 

for any f in Lp((0,1)k).

References. Page 248 of Folland's book

The Fourier transform edit

One defines the multidimensional Fourier transform by

 

The Hausdorff-Young inequality, in this setting, says that if p is a number in the interval [1,2], then one has

 

for any f in Lp(ℝn).

References. page 114 of Grafakos' book, page 165 of Hörmander's book, page 11 of Reed and Simon's book, or section 5.1 of Stein and Weiss' book. Hörmander and Reed-Simon's books use conventions for the definition of the Fourier transform which are different from those of this article.

The language of normed vector spaces edit

The above results can be rephrased succinctly as:

  • the map which sends a function (0,1)k→ℂ to its Fourier coefficients defines a bounded complex-linear map Lp((0,1)k,dx)→Lp/(p-1)(ℤk,dn) for any number p in the range [1,2]. Here dx denotes Lebesgue measure and dn denotes counting measure. Furthermore, the operator norm of this linear map is less than or equal to one.
  • the map which sends a function n→ℂ to its Fourier transform defines a bounded complex-linear map Lp(ℝn)→Lp/(p-1)(ℝn) for any number p in the range [1,2]. Furthermore, the operator norm of this linear map is less than or equal to one.

Proof edit

Here we use the language of normed vector spaces and bounded linear maps, as is convenient for application of the Riesz-Thorin theorem. There are two ingredients in the proof:

  • according to the Plancherel theorem, the Fourier series (or Fourier transform) defines a bounded linear map L2L2.
  • using only the single equality   for any real numbers n and a, one can see directly that the Fourier series (or Fourier transform) defines a bounded linear map L1L.

The operator norm of either linear maps is less than or equal to one, as one can directly verify. One can then apply the Riesz–Thorin theorem.

Beckner's sharp Hausdorff-Young inequality edit

Equality is achieved in the Hausdorff-Young inequality for (multidimensional) Fourier series by taking

 

for any particular choice of integers   In the above terminology of "normed vector spaces", this asserts that the operator norm of the corresponding bounded linear map is exactly equal to one.

Since the Fourier transform is closely analogous to the Fourier series, and the above Hausdorff-Young inequality for the Fourier transform is proved by exactly the same means as the Hausdorff-Young inequality for Fourier series, it may be surprising that equality is not achieved for the above Hausdorff-Young inequality for the Fourier transform, aside from the special case   for which the Plancherel theorem asserts that the Hausdorff-Young inequality is an exact equality.

In fact, Beckner (1975), following a special case appearing in Babenko (1961), showed that if p is a number in the interval [1,2], then

 

for any f in Lp(ℝn). This is an improvement of the standard Hausdorff-Young inequality, as the context p≤2 and p'≥2 ensures that the number appearing on the right-hand side of this "Babenko–Beckner inequality" is less than or equal to 1. Moreover, this number cannot be replaced by a smaller one, since equality is achieved in the case of Gaussian functions. In this sense, Beckner's paper gives an optimal ("sharp") version of the Hausdorff-Young inequality. In the language of normed vector spaces, it says that the operator norm of the bounded linear map Lp(ℝn)→Lp/(p-1)(ℝn), as defined by the Fourier transform, is exactly equal to

 

The condition on the exponent edit

The condition p∈[1,2] is essential. If p>2, then the fact that a function belongs to  , does not give any additional information on the order of growth of its Fourier series beyond the fact that it is in  .

References edit

Research articles edit

  • Babenko, K. Ivan (1961), "An inequality in the theory of Fourier integrals", Izvestiya Akademii Nauk SSSR. Seriya Matematicheskaya, 25: 531–542, ISSN 0373-2436, MR 0138939 English transl., Amer. Math. Soc. Transl. (2) 44, pp. 115–128
  • Beckner, William (1975), "Inequalities in Fourier analysis", Annals of Mathematics, Second Series, 102 (1): 159–182, doi:10.2307/1970980, ISSN 0003-486X, JSTOR 1970980, MR 0385456
  • Hausdorff, Felix (1923), "Eine Ausdehnung des Parsevalschen Satzes über Fourierreihen", Mathematische Zeitschrift, 16: 163–169, doi:10.1007/BF01175679
  • Young, W. H. (1913), "On the Determination of the Summability of a Function by Means of its Fourier Constants", Proc. London Math. Soc., 12: 71–88, doi:10.1112/plms/s2-12.1.71

Textbooks edit

  • Bergh, Jöran; Löfström, Jörgen. Interpolation spaces. An introduction. Grundlehren der Mathematischen Wissenschaften, No. 223. Springer-Verlag, Berlin-New York, 1976. x+207 pp.
  • Folland, Gerald B. Real analysis. Modern techniques and their applications. Second edition. Pure and Applied Mathematics (New York). A Wiley-Interscience Publication. John Wiley & Sons, Inc., New York, 1999. xvi+386 pp. ISBN 0-471-31716-0
  • Grafakos, Loukas. Classical Fourier analysis. Third edition. Graduate Texts in Mathematics, 249. Springer, New York, 2014. xviii+638 pp. ISBN 978-1-4939-1193-6, 978-1-4939-1194-3
  • Hewitt, Edwin; Ross, Kenneth A. Abstract harmonic analysis. Vol. II: Structure and analysis for compact groups. Analysis on locally compact Abelian groups. Die Grundlehren der mathematischen Wissenschaften, Band 152 Springer-Verlag, New York-Berlin 1970 ix+771 pp.
  • Hörmander, Lars. The analysis of linear partial differential operators. I. Distribution theory and Fourier analysis. Reprint of the second (1990) edition [Springer, Berlin; MR1065993]. Classics in Mathematics. Springer-Verlag, Berlin, 2003. x+440 pp. ISBN 3-540-00662-1
  • Reed, Michael; Simon, Barry. Methods of modern mathematical physics. II. Fourier analysis, self-adjointness. Academic Press [Harcourt Brace Jovanovich, Publishers], New York-London, 1975. xv+361 pp.
  • Stein, Elias M.; Weiss, Guido. Introduction to Fourier analysis on Euclidean spaces. Princeton Mathematical Series, No. 32. Princeton University Press, Princeton, N.J., 1971. x+297 pp.
  • Zygmund, A. Trigonometric series. Vol. I, II. Third edition. With a foreword by Robert A. Fefferman. Cambridge Mathematical Library. Cambridge University Press, Cambridge, 2002. xii; Vol. I: xiv+383 pp.; Vol. II: viii+364 pp. ISBN 0-521-89053-5

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This article needs editing to comply with Wikipedia s Manual of Style In particular it has problems with MOS BBB Please help improve the content July 2023 Learn how and when to remove this template message The Hausdorff Young inequality is a foundational result in the mathematical field of Fourier analysis As a statement about Fourier series it was discovered by William Henry Young 1913 and extended by Hausdorff 1923 It is now typically understood as a rather direct corollary of the Plancherel theorem found in 1910 in combination with the Riesz Thorin theorem originally discovered by Marcel Riesz in 1927 With this machinery it readily admits several generalizations including to multidimensional Fourier series and to the Fourier transform on the real line Euclidean spaces as well as more general spaces With these extensions it is one of the best known results of Fourier analysis appearing in nearly every introductory graduate level textbook on the subject The nature of the Hausdorff Young inequality can be understood with only Riemann integration and infinite series as prerequisite Given a continuous function f 0 1 ℝ define its Fourier coefficients by c n 0 1 e 2 p i n x f x d x displaystyle c n int 0 1 e 2 pi inx f x dx for each integer n The Hausdorff Young inequality says that n c n 3 1 3 0 1 f t 3 2 d t 2 3 displaystyle left sum n infty infty c n 3 right 1 3 leq left int 0 1 f t 3 2 dt right 2 3 Loosely speaking this can be interpreted as saying that the size of the function f as represented by the right hand side of the above inequality controls the size of its sequence of Fourier coefficients as represented by the left hand side However this is only a very specific case of the general theorem The usual formulations of the theorem are given below with use of the machinery of Lp spaces and Lebesgue integration Contents 1 The conjugate exponent 2 Statements of the theorem 2 1 Fourier series 2 2 Multidimensional Fourier series 2 3 The Fourier transform 2 4 The language of normed vector spaces 3 Proof 4 Beckner s sharp Hausdorff Young inequality 5 The condition on the exponent 6 References 6 1 Research articles 6 2 TextbooksThe conjugate exponent editGiven a nonzero real number p define the real number p the conjugate exponent of p by the equation 1 p 1 p 1 displaystyle frac 1 p frac 1 p 1 nbsp If p is equal to one this equation has no solution but it is interpreted to mean that p is infinite as an element of the extended real number line Likewise if p is infinite as an element of the extended real number line then this is interpreted to mean that p is equal to one The commonly understood features of the conjugate exponent are simple the conjugate exponent of a number in the range 1 2 is in the range 2 the conjugate exponent of a number in the range 2 is in the range 1 2 the conjugate exponent of 2 is 2Statements of the theorem editFourier series edit Given a function f 0 1 C displaystyle f 0 1 to mathbb C nbsp one defines its Fourier coefficients as a function c Z C displaystyle c mathbb Z to mathbb C nbsp by c n 0 1 f t e 2 p i n t d t displaystyle c n int 0 1 f t e 2 pi int dt nbsp although for an arbitrary function f these integrals may not exist Holder s inequality shows that if f is in Lp 0 1 for some number p 1 then each Fourier coefficient is well defined The Hausdorff Young inequality says that for any number p in the interval 1 2 one has n c n p 1 p 0 1 f t p d t 1 p displaystyle Big sum n infty infty big c n big p Big 1 p leq Big int 0 1 f t p dt Big 1 p nbsp for all f in Lp 0 1 Conversely still supposing p 1 2 if c Z C displaystyle c mathbb Z to mathbb C nbsp is a mapping for which n c n p lt displaystyle sum n infty infty big c n big p lt infty nbsp then there exists f L p 0 1 displaystyle f in L p 0 1 nbsp whose Fourier coefficients are c and with 0 1 f t p d t 1 p n c n p 1 p displaystyle Big int 0 1 f t p dt Big 1 p leq Big sum n infty infty big c n big p Big 1 p nbsp References Section XII 2 in volume II of Zygmund s book Multidimensional Fourier series edit The case of Fourier series generalizes to the multidimensional case Given a function f 0 1 k C displaystyle f 0 1 k to mathbb C nbsp define its Fourier coefficients c Z k C displaystyle c mathbb Z k to mathbb C nbsp by c n 1 n k 0 1 k f x e 2 p i n 1 x 1 n k x k d x displaystyle c n 1 ldots n k int 0 1 k f x e 2 pi i n 1 x 1 cdots n k x k dx nbsp As in the case of Fourier series the assumption that f is in Lp for some value of p in 1 ensures via the Holder inequality the existence of the Fourier coefficients Now the Hausdorff Young inequality says that if p is in the range 1 2 then n Z k c n p 1 p 0 1 k f x p d x 1 p displaystyle Big sum n in mathbb Z k big c n big p Big 1 p leq Big int 0 1 k f x p dx Big 1 p nbsp for any f in Lp 0 1 k References Page 248 of Folland s book The Fourier transform edit One defines the multidimensional Fourier transform by f 3 R n e 2 p i x 3 f x d x displaystyle widehat f xi int mathbb R n e 2 pi i langle x xi rangle f x dx nbsp The Hausdorff Young inequality in this setting says that if p is a number in the interval 1 2 then one has R n f 3 p d 3 1 p R n f x p d x 1 p displaystyle Big int mathbb R n big widehat f xi big p d xi Big 1 p leq Big int mathbb R n big f x big p dx Big 1 p nbsp for any f in Lp ℝn References page 114 of Grafakos book page 165 of Hormander s book page 11 of Reed and Simon s book or section 5 1 of Stein and Weiss book Hormander and Reed Simon s books use conventions for the definition of the Fourier transform which are different from those of this article The language of normed vector spaces edit The above results can be rephrased succinctly as the map which sends a function 0 1 k ℂ to its Fourier coefficients defines a bounded complex linear map Lp 0 1 k dx Lp p 1 ℤk dn for any number p in the range 1 2 Here dx denotes Lebesgue measure and dn denotes counting measure Furthermore the operator norm of this linear map is less than or equal to one the map which sends a function ℝn ℂ to its Fourier transform defines a bounded complex linear map Lp ℝn Lp p 1 ℝn for any number p in the range 1 2 Furthermore the operator norm of this linear map is less than or equal to one Proof editHere we use the language of normed vector spaces and bounded linear maps as is convenient for application of the Riesz Thorin theorem There are two ingredients in the proof according to the Plancherel theorem the Fourier series or Fourier transform defines a bounded linear map L2 L2 using only the single equality e 2 p i n a 1 displaystyle e 2 pi ina 1 nbsp for any real numbers n and a one can see directly that the Fourier series or Fourier transform defines a bounded linear map L1 L The operator norm of either linear maps is less than or equal to one as one can directly verify One can then apply the Riesz Thorin theorem Beckner s sharp Hausdorff Young inequality editEquality is achieved in the Hausdorff Young inequality for multidimensional Fourier series by taking f x e 2 p i m 1 x 1 m k x k displaystyle f x e 2 pi i m 1 x 1 cdots m k x k nbsp for any particular choice of integers m 1 m k displaystyle m 1 ldots m k nbsp In the above terminology of normed vector spaces this asserts that the operator norm of the corresponding bounded linear map is exactly equal to one Since the Fourier transform is closely analogous to the Fourier series and the above Hausdorff Young inequality for the Fourier transform is proved by exactly the same means as the Hausdorff Young inequality for Fourier series it may be surprising that equality is not achieved for the above Hausdorff Young inequality for the Fourier transform aside from the special case p 2 displaystyle p 2 nbsp for which the Plancherel theorem asserts that the Hausdorff Young inequality is an exact equality In fact Beckner 1975 following a special case appearing in Babenko 1961 showed that if p is a number in the interval 1 2 then R n f 3 p d 3 1 p p 1 p p 1 p n 2 R n f x p d x 1 p displaystyle Big int mathbb R n big widehat f xi big p d xi Big 1 p leq Big frac p 1 p p 1 p Big n 2 Big int mathbb R n big f x big p dx Big 1 p nbsp for any f in Lp ℝn This is an improvement of the standard Hausdorff Young inequality as the context p 2 and p 2 ensures that the number appearing on the right hand side of this Babenko Beckner inequality is less than or equal to 1 Moreover this number cannot be replaced by a smaller one since equality is achieved in the case of Gaussian functions In this sense Beckner s paper gives an optimal sharp version of the Hausdorff Young inequality In the language of normed vector spaces it says that the operator norm of the bounded linear map Lp ℝn Lp p 1 ℝn as defined by the Fourier transform is exactly equal to p 1 p p 1 p n 2 displaystyle Big frac p 1 p p 1 p Big n 2 nbsp The condition on the exponent editThe condition p 1 2 is essential If p gt 2 then the fact that a function belongs to L p displaystyle L p nbsp does not give any additional information on the order of growth of its Fourier series beyond the fact that it is in ℓ 2 displaystyle ell 2 nbsp References editResearch articles edit Babenko K Ivan 1961 An inequality in the theory of Fourier integrals Izvestiya Akademii Nauk SSSR Seriya Matematicheskaya 25 531 542 ISSN 0373 2436 MR 0138939 English transl Amer Math Soc Transl 2 44 pp 115 128 Beckner William 1975 Inequalities in Fourier analysis Annals of Mathematics Second Series 102 1 159 182 doi 10 2307 1970980 ISSN 0003 486X JSTOR 1970980 MR 0385456 Hausdorff Felix 1923 Eine Ausdehnung des Parsevalschen Satzes uber Fourierreihen Mathematische Zeitschrift 16 163 169 doi 10 1007 BF01175679 Young W H 1913 On the Determination of the Summability of a Function by Means of its Fourier Constants Proc London Math Soc 12 71 88 doi 10 1112 plms s2 12 1 71Textbooks edit Bergh Joran Lofstrom Jorgen Interpolation spaces An introduction Grundlehren der Mathematischen Wissenschaften No 223 Springer Verlag Berlin New York 1976 x 207 pp Folland Gerald B Real analysis Modern techniques and their applications Second edition Pure and Applied Mathematics New York A Wiley Interscience Publication John Wiley amp Sons Inc New York 1999 xvi 386 pp ISBN 0 471 31716 0 Grafakos Loukas Classical Fourier analysis Third edition Graduate Texts in Mathematics 249 Springer New York 2014 xviii 638 pp ISBN 978 1 4939 1193 6 978 1 4939 1194 3 Hewitt Edwin Ross Kenneth A Abstract harmonic analysis Vol II Structure and analysis for compact groups Analysis on locally compact Abelian groups Die Grundlehren der mathematischen Wissenschaften Band 152 Springer Verlag New York Berlin 1970 ix 771 pp Hormander Lars The analysis of linear partial differential operators I Distribution theory and Fourier analysis Reprint of the second 1990 edition Springer Berlin MR1065993 Classics in Mathematics Springer Verlag Berlin 2003 x 440 pp ISBN 3 540 00662 1 Reed Michael Simon Barry Methods of modern mathematical physics II Fourier analysis self adjointness Academic Press Harcourt Brace Jovanovich Publishers New York London 1975 xv 361 pp Stein Elias M Weiss Guido Introduction to Fourier analysis on Euclidean spaces Princeton Mathematical Series No 32 Princeton University Press Princeton N J 1971 x 297 pp Zygmund A Trigonometric series Vol I II Third edition With a foreword by Robert A Fefferman Cambridge Mathematical Library Cambridge University Press Cambridge 2002 xii Vol I xiv 383 pp Vol II viii 364 pp ISBN 0 521 89053 5 Retrieved from https en wikipedia org w index php title Hausdorff Young inequality amp oldid 1165222703, wikipedia, wiki, book, books, library,

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