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Title: Applications of automorphic distributions to analytic number theory


1
Applications of automorphic distributions to
analytic number theory 
Stephen D. Miller Rutgers University and Hebrew
University
http//www.math.rutgers.edu/sdmiller
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Outline of the talk
  • Definition of automorphic distributions and
    connection to representation theory
  • Applications to
  • Constructing L-functions
  • Summation Formulas
  • Cancellation in sums with additive twists
  • Implication to moments
  • Existence of infinitely many zeroes on the
    critical line

6
Automorphic Distributions
  • Suppose G real points of a split reductive
    group defined over Q.
  • ? ½ G arithmetically defined subgroup
  • e.g. ? SL(n,Z) ½ SL(n,R)
  • or ? GL(n,Z) ½ GL(n,R) (if center
    taken into account appropriately)
  • An automorphic representation is an embedding of
    a unitary irreducible representation j
    (?,V) ! L2(?nG)
  • Under this G-invariant embedding j, the smooth
    vectors V1 are sent to C1(?nG).
  • Consider the evaluation at the identity map
  • ? v ? j(v)(e)
  • which is a continuous linear functional on V1
    (with its natural Frechet topology).
  • Upshot ? 2 ((V)-1)? - a ?-invariant
    distribution vector for the dual representation.
  • Because (?,V) and (?,V) play symmetric roles,
    we may switch them and henceforth assume ? 2
    (V-1)?.

7
Some advantages
  • The study of automorphic distributions is
    equivalent to the study of automorphic forms.
  • It appears many analytic phenomena are easier to
    see than in classical approaches
  • For example,
  • However, this technique is not well suited to
    studying forms varying over a spectrum, just an
    individual form.

Whittaker expansion
(messy)
Summation Formulas
Hard
Automorphic form
Hard
Easy?
Easy?
L-functions
Easy?
8
Embeddings
  • A given representation (?,V) may have several
    different models of representations
  • Different models may reveal different
    information.
  • Main example all representations of GGL(n,R)
    embed into principal series representations
    (??,?,V?,?)
  • V f G! C j f(gb) f(g) ?-1(b) ,
    ?(h)f(g) f(h-1g)
  • Here b 2 B lower triangular Borel subgroup,
  • ?(b) ??,?(b) ? bj(n1)/2 -
    j - ?j sgn(bj)?j ,
  • and bj are the diagonal elements of the
    matrix b.
  • (Casselman-Wallach Theorem) Embedding extends
    equivariantly to distribution vectors V-1
    embeds into V?,?-1 ? 2 C-1(G) j ?(gb)
    ?(g)?-1(b) as a closed subspace.

9
Another model for Principal Series
  • Principal series are modeled on sections of line
    bundles over the flag varieties G/B.
  • G/B has a dense, open big Bruhat cell N unit
    upper triangular matrices.
  • Functions in V?,?1 are of course determined by
    their restriction to this dense cell
    distributions, however, are not.
  • However, automorphic distributions have a large
    invariance group, so in fact are determined by
    their restriction to N.
  • Upshot instead of studying automorphic forms on
    a large dimensional space G, we may study
    distributions on a space N which has lt half the
    dimension. View ? 2 C-1(NÅ ?nN).
  • Another positive no special functions are
    needed.
  • A negative requires dealing with distributions
    instead of functions, and hence some analytic
    overhead.

10
The line model for GL(2,R)
For simplicity, set ? (?,-?), ? (0,0), and ?
SL(2,Z)
  • Here N is one dimensional, isomorphic to R.
  • NÅ ? ' Z
  • So ? 2 C-1(ZnR) is a distribution on the circle,
    hence has a Fourier expansion
  • ?(x) ?n2 Z cn e(nx)
  • with e(x) e2? i x and some coefficients cn.
  • The G-action in the line model is
  • Therefore

11
Forming distributions from holomorphic forms
  • In general start with a q-expansion

Restrict to x-axis
Here cn an n(k-1)/2, where k is the weight. The
distribution ? inherits automorphy from F
If
then
12
For Maass forms
  • Start with classical Fourier expansion
  • Get boundary distribution

  • where again cn an n-?
  • Note of course that when ? (1-k)/2 the two
    cases overlap. This corresponds to the fact that
    the discrete series for weight k forms embeds
    into V? for this parameter.
  • Upshot uniformly, in both cases get
    distributions
  • satisfying

13
What can you do with Boundary value distributions?
  • Applications include
  • Constructing L-functions
  • Summation Formulas
  • Cancellation in sums with additive twists
  • Implication to moments
  • Existence of infinitely many zeroes on the
    critical line
  • All of these give new proofs for GL(2), where
    these problems have been well-studied.
  • New summation formulas, and results on analytic
    continuation of L-functions have been proven
    using this method on GL(n).

14
Analytic Continuation of L-functions
  • GL(2) example one has (say, for GL(2,Z)
    automorphic forms)
  • Formally, we would like to integrate ?(x) against
    the measure xs-1dx. However, there are
    potential singularities at x 0 and 1. A
    priori, distributions can only be integrated
    against smooth functions of compact support.
  • If ?(x) is cuspidal then c0 0 and the Fourier
    series oscillates a lot near x 1. More
    importantly, ?(x) has bounded antiderivatives of
    arbitrarily high order. This allows one to make
    sense of the integral when Re s is large or
    small.
  • Since x 1 and x 0 are related by x ? 1/x, the
    same is true near zero.
  • Thus the Mellin transform M?(s) sR ?(x)xs-1dx
    is holomorphically defined as a pairing of
    distributions. It satisfies the identity M?(s)
    M?(1-s2?).
  • One computes straightforwardly, term by term,
    that
  • which is the functional equation for
    the standard L-function.
  • The archimedean integral here is sR e(x)xs-1
    sgn(x)? dx, and (apparently) the only one that
    occurs in general.

15
A picture of Maass form antiderivative
For the first Maass form for GL(2,Z)
We of course cannot plot the distribution.
Oscillation near zero
16
Zoom near origin
Oscillation near zero
17
Weight one antiderivative
18
L-functions on other groups
  • Given a collection of automorphic distributions
    and an ambient group which acts with an open
    orbit on the product of their (generalized) flag
    varieties, one can also define a holomorphic
    pairing.
  • This condition is related to the uniqueness
    principal in Reznikovs talk earlier today.
  • Main difference we insert distribution vectors
    into the multilinear functionals (and justify).
  • These pairings can be used to obtain the analytic
    continuation of L-functions which have not been
    obtained by the Langlands-Shahidi or
    Rankin-Selberg methods.
  • Main example
  • Theorem (Miller-Schmid, 2005). Let F be a cusp
    form on GL(n) over Q, and S any finite set of
    places containing the ramified nonarchimedean
    places. Then Langlands partial L-function
    LS(s,Ext2F) is fully holomorphic, i.e.
    holomorphic on all of C, except perhaps for
    simple poles at s 0 or 1 which occur for
    well-understood reasons.
  • In particular, if F is a cuspidal Hecke eigenform
    on GL(n,Z)n GL(n,R), the completed global
    L-function ?(s,Ext2 F) is fully holomorphic.
  • The main new contribution is the archimedean
    theory, which seems difficult to obtain using the
    Rankin-Selberg method. Similarly, the
    Langlands-Shahidi method gives the correct
    functional equation, but has difficulty
    eliminating the possibility of poles.
  • Pairings (formally, at least) also can be set up
    for nonarchimedean places also. Thus, this
    method represents a new, third method for
    obtaining the analytic properties of L-functions.
    It requires other models of unitary irreducible
    representations, such as the Kirillov model.
  • Two main reasons this works
  • Ability to apply pairing theorem (which holds in
    great generality)
  • Ability to compute the pairings (so far in all
    cases reduces to one-dimensional integrals, but
    the reason for this is not understood).

19
Outline of the talk
  • Definition of automorphic distributions and
    connection to representation theory
  • Applications to
  • Constructing L-functions
  • Summation Formulas
  • Cancellation in sums with additive twists
  • Implication to moments
  • Existence of infinitely many zeroes on the
    critical line

20
Summation Formulas
  • Recall the Voronoi summation formula for GL(2)
    if
  • f(x) is a Schwartz function which vanishes to
    infinite order at the origin
  • an are the coefficients of a modular or Maass
    form for SL(2,Z)
  • a, c relatively prime integers,
  • then
  • where
  • This formula has many analytic uses for dualizing
    sums of coefficients (e.g. subconvexity, together
    with trace formulas).
  • It can be derived from the standard L-function
    (if a0), and from its twists (general a,c). The
    usual proofs involve special functions, but the
    final answer does not. Is that avoidable?

21
The distributional vantage point
  • The Voronoi summation formula is simply the
    statement that the distribution ?(x) is
    automorphicintegrated against test functions.
  • Namely,
  • Integrate against g(x), and get
  • This is equivalent to the Voronoi formula.
  • To justify the proof, use the oscillation of ?(x)
    near rationals (as in the analytic continuation
    of L(s,?)).

22
Generalizations
  • One can make a slicker proof using the Kirillov
    model, in which ?(x) ?n?0 an?n(x).
  • In this model ?(x) has group translates
  • When ?a,c(x) is integrated against a test
    function f(x), one gets exactly the LHS of the
    Voronoi formula.
  • The righthand side is (almost tautologically)
    equivalent to the automorphy of ?(x) under
    SL(2,Z) under the G-action in the Kirillov model.
  • However, the analytic justification of this
    argument and especially its generalizations
    gets somewhat technical.

23
A Voronoi-style formula for GL(3)
  • Theorem (Miller-Schmid, 2002) Under the same
    hypothesis, but instead with am,n the Fourier
    coefficients of a cusp form on GL(3,Z)nGL(3,R)
  • for any q gt 0 and
  • The proof uses automorphic distributions on N(Z)n
    N(R), where N is the 3-dimensional Heisenberg
    group.
  • The summation formula reflects identities which
    are satisfied by the various Fourier components.
  • The theorem can be applied to GL(2) via the
    symmetric square lift GL(2)! GL(3), giving
    nonlinear summation formulas (i.e. involving
    an2). This formula is used by Sarnak-Watson in
    their sharp bounds for L4-norms of eigenfunctions
    on SL(2,Z)nH.

24
Outline of the talk
  • Definition of automorphic distributions and
    connection to representation theory
  • Applications to
  • Constructing L-functions
  • Summation Formulas
  • Cancellation in sums with additive twists
  • Implication to moments
  • Existence of infinitely many zeroes on the
    critical line

25
Cancellation in sums with additive twists
  • Let an be the coefficients of a cusp form
    L-function on GL(d)
  • S(T,x) ?n6T an e(n x) , e(t) e 2 ?
    i t
  • Since the an have unit size on average, we have
    the following two trivial bounds
  • S(T,x) O(T)
  • sR/Z S(T,x)2 dx ?n6T an2 cT
  • Folklore Cancellation Conjecture S(T,x)
    O?(T1/2?), where the implied constant depends ?
    but is uniform in x and T.
  • In light of the L2-norm statement, this is the
    best possible exponent.

26
Rationals vs. Irrationals
  • Fix x 2 Q. S(T,x) can be smaller Ox(T1/2-?)
    (Landau).
  • For example, the sum S(T,0) ?n6T an is
    typically quite small, because for example
  • L(s) ?ngt1 an n-s is entire
  • Smoothed sums behave even better
  • decays rapidly in T (faster than any
    polynomial), for ? say a Schwartz function on
    (0,1).
  • shift contour ? to -1
  • Similar behavior at other rationals (related to
    L-functions twisted by Dirichlet characters).
  • However, uniform bounds over rationals x are
    still not easy.

27
Brief history of results for irrationals
  • First considered by Hardy and Littlewood for
    classical arithmetic functions which are
    connected to degree 2 L-functions of automorphic
    forms on GL(2).
  • Typically for noncusp forms.
  • E.g., for an r2(n) from before or d(n)
    divisor function.
  • Later results by Walfisz, Erdos, etc. are sharp,
    but mainly apply to Eisenstein series.
  • No clean, uniform statement is possible in the
    Eisenstein case because of large main terms,
    which, however, are totally understood.

28
Bounds on S(T,x) for general cusp forms (on GL(d))
  • Recall that we expect S(T,x) ?n6T an e(nx) to
    be O?(T1/2?) when an are the coefficients of an
    entire L-function.
  • according to the Langlands/Selberg/Piatetski-Shapi
    ro philosophy, these are always L-functions of
    cusp forms on GL(2,AQ).
  • Main known result S(T,x) O?(T1/2?).for cusp
    forms on GL(2) (degree 2 L-functions)
  • For holomorphic cusp forms, this is classical and
    straightforward to prove
  • But for Maass forms this is much more subtle.
  • Importance used in Hardy-Littlewoods seminal
    method to prove ?(s) has infinitely many zeroes
    on its critical line (we will see this again
    later).

29
Higher Rank?
  • Only general result is the trivial bound S(T,x)
    O(T).
  • Theorem (Miller, 2004) For cusp forms on
    GL(3,Z)nGL(3,R) and an equal to the standard
    L-function coefficients, S(T,x) O?(T3/4?).
  • This is halfway between the trivial O(T) and
    optimal O?(T1/2?) bounds.
  • We will see that the full conjecture implies the
    correct order of magnitude for the second moment
    of L(s)?n 1an n-s, which beyond GL(2) is
    thought to be a problem as difficult as the
    Lindelof conjecture.

30
Outline of the talk
  • Definition of automorphic distributions and
    connection to representation theory
  • Applications to
  • Constructing L-functions
  • Summation Formulas
  • Cancellation in sums with additive twists
  • Implication to moments
  • Existence of infinitely many zeroes on the
    critical line

31
Distributions and integrals of L-functions on
critical line
  • Recall the Mellin transform of the distribution
    t(x) ?n? 0 ann-?e(nx) is
  • Let ? be an even, smooth function of compact
    support on R. By Parseval
  • for any ? (integrand is entire, so the
    contour may be shifted).
  • If ??(x) is an approximate identity (near x 1),
    M?(1/2it) approximates the (normalized)
    characteristic function of the interval t 2
    -1/?,1/?.
  • One can therefore learn the size of smoothed
    integrals of Mt(1/2it) through properties of the
    distribution t(x) near x 1.
  • When t vanishes to infinite order near x 1,
    these smoothed integrals are very small.
  • This is related to cancellation in S(T,x) for
    particular values of x (in this case rational,
    but in general irrational).
  • Similarly, the multiplicative convolution tF? has
    Mellin transform Mt(s)M?(s). Its L2-norm
    approximates the second moment of L(1/2it), and
    is determined by the L2-norm of tF?. The latter
    is controlled by the size of smooth variants of
    S(T,x) ?nT an e(nx).
  • Conclusion cancellation in additive sums is
    related to moments.

32
Lindelöf conjecture and moment estimates
  • Lindelöf conjecture L(1/2it) O?((1t)?) for
    any ? gt 0.
  • Fundamental unsolved conjecture in analytic
    number theory.
  • Implied by GRH.
  • Equivalent to moment bounds s-TT L(½it)2k
    dt O?(T1?) for each fixed k 1.
  • The 2k-th moment for a cusp form on GL(d) is
    thought to be exactly as difficult to the 2nd
    moment on GL(dk).
  • The cancellation conjecture or more precisely a
    variant for non-cusp forms implies the Lindelöf
    conjecture (next slide), and is thus a very hard
    problem for d gt 2.

33
Bounds on S(T,x) imply bounds on moments
  • Folklore theorem (known as early as the 60s by
    Chandrasekharan, Narasimhan, Selberg)
  • If S(T,x) O?(T??) for some ½ ? lt 1, then
    s-TT L(½ it)2 dt O?(T1 ? (2?-1)
    d),
  • Where d the degree of the L-function
  • E.g. L-function comes from GL(d,AQ).
  • Thus ? 1/2 is very hard to achieve because it
    gives the optimal bound O?(T1?) .
  • GL(3) result of O?(T3/4?) unfortunately does not
    give new moment information.
  • Voronoi-style summation formulas with Schmid give
    an implication between
  • squareroot cancellation in sums of
    d-1-hyperkloosterman sums weighted by an, and
  • Optimal cancellation S(T,x) O?(T1/2?) and
    therefore Lindelöf also.

34
Outline of the talk
  • Definition of automorphic distributions and
    connection to representation theory
  • Applications to
  • Constructing L-functions
  • Summation Formulas
  • Cancellation in sums with additive twists
  • Implication to moments
  • Existence of infinitely many zeroes on the
    critical line

35
Connection to zeroes on the critical line
  • Suppose (for fictitious expositional simplicity)
    ? 0 for a cusp form on SL(2,Z). It is not
    difficult to handle arbitrary ?.
  • Let H(t) M?(1/2it). Then H(t) H(-t) is
    real.
  • Let ?1/T be an approximate identity such that
    M?(1/2it) 0.
  • If L(s) has only a finite number of zeroes on the
    critical line, then the following integral must
    also be of order T
  • But it cannot if ?(x) vanishes to infinite order
    at x1 (? is concentrated near a point where ?
    behaves as if it is zero).
  • In that case this integral decays as O(T-N) for
    any N gt 0!
  • The above was for a cusp form on SL(2,Z). For
    congruence groups, the point x1 changes to pq, q
    level. The bound S(T,x) O?(T1/2?) shows
    that the last integral is still o(T) with room to
    spare.
  • New phenomena numerically that integral decays
    only like T1/2 for q11.

36
Higher rank?
  • Like the moment problem, nothing is known about
    infinitude of zeroes on the critical line for
    degree d gt 2 L-functions.
  • In fact, aside from zeroes at s 1/2 coming from
    algebraic geometry, it is not known there are any
    zeroes on the critical line for d gt 2.
  • Possible approach if a certain Fourier component
    of the automorphic distribution of a cusp form ?
    on GL(4,Z)nGL(4,R) vanishes to infinite order at
    1, then L(1/2it,?) 0 for infinitely many t 2
    R.
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