.. _acb-dirichlet:

**acb_dirichlet.h** -- Dirichlet L-functions, Riemann zeta and related functions
===================================================================================

This module allows working with values of Dirichlet characters,
Dirichlet L-functions, and related functions.
A Dirichlet L-function is the analytic continuation of an L-series

.. math::

    L(s,\chi) = \sum_{k=1}^\infty \frac{\chi(k)}{k^s}

where `\chi(k)` is a Dirichlet character. The trivial character
`\chi(k) = 1` gives the Riemann zeta function.
Working with Dirichlet characters is documented in :ref:`dirichlet`.

The code in other modules for computing the Riemann zeta function,
Hurwitz zeta function and polylogarithm will possibly be migrated to this
module in the future.

Roots of unity
-------------------------------------------------------------------------------

.. type:: acb_dirichlet_roots_struct

.. type:: acb_dirichlet_roots_t

.. function:: void acb_dirichlet_roots_init(acb_dirichlet_roots_t roots, ulong n, slong num, slong prec)

    Initializes *roots* with precomputed data for fast evaluation of roots of
    unity `e^{2\pi i k/n}` of a fixed order *n*. The precomputation is
    optimized for *num* evaluations.

    For very small *num*, only the single root `e^{2\pi i/n}` will be
    precomputed, which can then be raised to a power. For small *prec*
    and large *n*, this method might even skip precomputing this single root
    if it estimates that evaluating roots of unity from scratch will be faster
    than powering.

    If *num* is large enough, the whole set of roots in the first quadrant
    will be precomputed at once. However, this is automatically avoided for
    large *n* if too much memory would be used. For intermediate *num*,
    baby-step giant-step tables are computed.

.. function:: void acb_dirichlet_roots_clear(acb_dirichlet_roots_t roots)

    Clears the structure.

.. function:: void acb_dirichlet_root(acb_t res, const acb_dirichlet_roots_t roots, ulong k, slong prec)

    Computes `e^{2\pi i k/n}`.

Truncated L-series and power sums
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_powsum_term(acb_ptr res, arb_t log_prev, ulong * prev, const acb_t s, ulong k, int integer, int critical_line, slong len, slong prec)

    Sets *res* to `k^{-(s+x)}` as a power series in *x* truncated to length *len*.
    The flags *integer* and *critical_line* respectively specify optimizing
    for *s* being an integer or having real part 1/2.

    On input *log_prev* should contain the natural logarithm of the integer
    at *prev*. If *prev* is close to *k*, this can be used to speed up
    computations. If `\log(k)` is computed internally by this function, then
    *log_prev* is overwritten by this value, and the integer at *prev* is
    overwritten by *k*, allowing *log_prev* to be recycled for the next
    term when evaluating a power sum.

.. function:: void acb_dirichlet_powsum_sieved(acb_ptr res, const acb_t s, ulong n, slong len, slong prec)

    Sets *res* to `\sum_{k=1}^n k^{-(s+x)}`
    as a power series in *x* truncated to length *len*.
    This function stores a table of powers that have already been calculated,
    computing `(ij)^r` as `i^r j^r` whenever `k = ij` is
    composite. As a further optimization, it groups all even `k` and
    evaluates the sum as a polynomial in `2^{-(s+x)}`.
    This scheme requires about `n / \log n` powers, `n / 2` multiplications,
    and temporary storage of `n / 6` power series. Due to the extra
    power series multiplications, it is only faster than the naive
    algorithm when *len* is small.

.. function:: void acb_dirichlet_powsum_smooth(acb_ptr res, const acb_t s, ulong n, slong len, slong prec)

    Sets *res* to `\sum_{k=1}^n k^{-(s+x)}`
    as a power series in *x* truncated to length *len*.
    This function performs partial sieving by adding multiples of 5-smooth *k*
    into separate buckets. Asymptotically, this requires computing 4/15
    of the powers, which is slower than *sieved*, but only requires
    logarithmic extra space. It is also faster for large *len*, since most
    power series multiplications are traded for additions.
    A slightly bigger gain for larger *n* could be achieved by using more
    small prime factors, at the expense of space.

Riemann zeta function
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_zeta(acb_t res, const acb_t s, slong prec)

    Computes `\zeta(s)` using an automatic choice of algorithm.

.. function:: void acb_dirichlet_zeta_jet(acb_t res, const acb_t s, int deflate, slong len, slong prec)

    Computes the first *len* terms of the Taylor series of the Riemann zeta
    function at *s*. If *deflate* is nonzero, computes the deflated
    function `\zeta(s) - 1/(s-1)` instead.

.. function:: void acb_dirichlet_zeta_bound(mag_t res, const acb_t s)

    Computes an upper bound for `|\zeta(s)|` quickly. On the critical strip (and
    slightly outside of it), formula (43.3) in [Rad1973]_ is used.
    To the right, evaluating at the real part of *s* gives a trivial bound.
    To the left, the functional equation is used.

.. function:: void acb_dirichlet_zeta_deriv_bound(mag_t der1, mag_t der2, const acb_t s)

    Sets *der1* to a bound for `|\zeta'(s)|` and *der2* to a bound for
    `|\zeta''(s)|`. These bounds are mainly intended for use in the critical
    strip and will not be tight.

.. function:: void acb_dirichlet_eta(acb_t res, const acb_t s, slong prec)

    Sets *res* to the Dirichlet eta function
    `\eta(s) = \sum_{k=1}^{\infty} (-1)^{k+1} / k^s = (1-2^{1-s}) \zeta(s)`,
    also known as the alternating zeta function.
    Note that the alternating character `\{1,-1\}` is not itself
    a Dirichlet character.

.. function:: void acb_dirichlet_xi(acb_t res, const acb_t s, slong prec)

    Sets *res* to the Riemann xi function
    `\xi(s) = \frac{1}{2} s (s-1) \pi^{-s/2} \Gamma(\frac{1}{2} s) \zeta(s)`.
    The functional equation for xi is `\xi(1-s) = \xi(s)`.

Riemann-Siegel formula
-------------------------------------------------------------------------------

The Riemann-Siegel (RS) formula is implemented closely following
J. Arias de Reyna [Ari2011]_.
For `s = \sigma + it` with `t > 0`, the expansion takes the form

.. math::

    \zeta(s) = \mathcal{R}(s) + X(s) \overline{\mathcal{R}}(1-s), \quad X(s) = \pi^{s-1/2} \frac{\Gamma((1-s)/2)}{\Gamma(s/2)}

where

.. math::

    \mathcal{R}(s) = \sum_{k=1}^N \frac{1}{k^s} + (-1)^{N-1} U a^{-\sigma} \left[ \sum_{k=0}^K \frac{C_k(p)}{a^k} + RS_K \right]

.. math::

    U = \exp\left(-i\left[ \frac{t}{2} \log\left(\frac{t}{2\pi}\right)-\frac{t}{2}-\frac{\pi}{8} \right]\right), \quad
    a = \sqrt{\frac{t}{2\pi}}, \quad N = \lfloor a \rfloor, \quad p = 1-2(a-N).

The coefficients `C_k(p)` in the asymptotic part of the expansion
are expressed in terms of certain auxiliary coefficients `d_j^{(k)}`
and `F^{(j)}(p)`.
Because of artificial discontinuities, *s* should be exact inside
the evaluation.

.. function:: void acb_dirichlet_zeta_rs_f_coeffs(acb_ptr f, const arb_t p, slong n, slong prec)

    Computes the coefficients `F^{(j)}(p)` for `0 \le j < n`.
    Uses power series division. This method breaks down when `p = \pm 1/2`
    (which is not problem if *s* is an exact floating-point number).

.. function:: void acb_dirichlet_zeta_rs_d_coeffs(arb_ptr d, const arb_t sigma, slong k, slong prec)

    Computes the coefficients `d_j^{(k)}` for `0 \le j \le \lfloor 3k/2 \rfloor + 1`.
    On input, the array *d* must contain the coefficients for `d_j^{(k-1)}`
    unless `k = 0`, and these coefficients will be updated in-place.

.. function:: void acb_dirichlet_zeta_rs_bound(mag_t err, const acb_t s, slong K)

    Bounds the error term `RS_K` following Theorem 4.2 in Arias de Reyna.

.. function:: void acb_dirichlet_zeta_rs_r(acb_t res, const acb_t s, slong K, slong prec)

    Computes `\mathcal{R}(s)` in the upper half plane. Uses precisely *K*
    asymptotic terms in the RS formula if this input parameter is positive;
    otherwise chooses the number of terms automatically based on *s* and the
    precision.

.. function:: void acb_dirichlet_zeta_rs(acb_t res, const acb_t s, slong K, slong prec)

    Computes `\zeta(s)` using the Riemann-Siegel formula. Uses precisely
    *K* asymptotic terms in the RS formula if this input parameter is positive;
    otherwise chooses the number of terms automatically based on *s* and the
    precision.

.. function:: void acb_dirichlet_zeta_jet_rs(acb_ptr res, const acb_t s, slong len, slong prec)

    Computes the first *len* terms of the Taylor series of the Riemann zeta
    function at *s* using the Riemann Siegel formula. This function currently
    only supports *len* = 1 or *len* = 2. A finite difference is used
    to compute the first derivative.

Hurwitz zeta function
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_hurwitz(acb_t res, const acb_t s, const acb_t a, slong prec)

    Computes the Hurwitz zeta function `\zeta(s, a)`.
    This function automatically delegates to the code for the Riemann zeta function
    when `a = 1`. Some other special cases may also be handled by direct
    formulas. In general, Euler-Maclaurin summation is used.

Hurwitz zeta function precomputation
-------------------------------------------------------------------------------

.. type:: acb_dirichlet_hurwitz_precomp_struct

.. type:: acb_dirichlet_hurwitz_precomp_t

.. function:: void acb_dirichlet_hurwitz_precomp_init(acb_dirichlet_hurwitz_precomp_t pre, const acb_t s, int deflate, slong A, slong K, slong N, slong prec)

    Precomputes a grid of Taylor polynomials for fast evaluation of
    `\zeta(s,a)` on `a \in (0,1]` with fixed *s*.
    *A* is the initial shift to apply to *a*, *K* is the number of Taylor terms,
    *N* is the number of grid points.  The precomputation requires *NK*
    evaluations of the Hurwitz zeta function, and each subsequent evaluation
    requires *2K* simple arithmetic operations (polynomial evaluation) plus
    *A* powers. As *K* grows, the error is at most `O(1/(2AN)^K)`.

    This function can be called with *A* set to zero, in which case
    no Taylor series precomputation is performed. This means that evaluation
    will be identical to calling :func:`acb_dirichlet_hurwitz` directly.

    Otherwise, we require that *A*, *K* and *N* are all positive. For a finite
    error bound, we require `K+\operatorname{re}(s) > 1`.
    To avoid an initial "bump" that steals precision
    and slows convergence, *AN* should be at least roughly as large as `|s|`,
    e.g. it is a good idea to have at least `AN > 0.5 |s|`.

    If *deflate* is set, the deflated Hurwitz zeta function is used,
    removing the pole at `s = 1`.

.. function:: void acb_dirichlet_hurwitz_precomp_init_num(acb_dirichlet_hurwitz_precomp_t pre, const acb_t s, int deflate, double num_eval, slong prec)

    Initializes *pre*, choosing the parameters *A*, *K*, and *N*
    automatically to minimize the cost of *num_eval* evaluations of the
    Hurwitz zeta function at argument *s* to precision *prec*.

.. function:: void acb_dirichlet_hurwitz_precomp_clear(acb_dirichlet_hurwitz_precomp_t pre)

    Clears the precomputed data.

.. function:: void acb_dirichlet_hurwitz_precomp_choose_param(ulong * A, ulong * K, ulong * N, const acb_t s, double num_eval, slong prec)

    Chooses precomputation parameters *A*, *K* and *N* to minimize
    the cost of *num_eval* evaluations of the Hurwitz zeta function
    at argument *s* to precision *prec*.
    If it is estimated that evaluating each Hurwitz zeta function from
    scratch would be better than performing a precomputation, *A*, *K* and *N*
    are all set to 0.

.. function:: void acb_dirichlet_hurwitz_precomp_bound(mag_t res, const acb_t s, slong A, slong K, slong N)

    Computes an upper bound for the truncation error (not accounting for
    roundoff error) when evaluating `\zeta(s,a)` with precomputation parameters
    *A*, *K*, *N*, assuming that `0 < a \le 1`.
    For details, see :ref:`algorithms_hurwitz`.

.. function:: void acb_dirichlet_hurwitz_precomp_eval(acb_t res, const acb_dirichlet_hurwitz_precomp_t pre, ulong p, ulong q, slong prec)

    Evaluates `\zeta(s,p/q)` using precomputed data, assuming that `0 < p/q \le 1`.

Lerch transcendent
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_lerch_phi_integral(acb_t res, const acb_t z, const acb_t s, const acb_t a, slong prec)
              void acb_dirichlet_lerch_phi_direct(acb_t res, const acb_t z, const acb_t s, const acb_t a, slong prec)
              void acb_dirichlet_lerch_phi(acb_t res, const acb_t z, const acb_t s, const acb_t a, slong prec)

    Computes the Lerch transcendent

    .. math::

        \Phi(z,s,a) = \sum_{k=0}^{\infty} \frac{z^k}{(k+a)^s}

    which is analytically continued for `|z| \ge 1`.

    The *direct* version evaluates a truncation of the defining series.
    The *integral* version uses the Hankel contour integral

    .. math::

        \Phi(z,s,a) = -\frac{\Gamma(1-s)}{2 \pi i} \int_C \frac{(-t)^{s-1} e^{-a t}}{1 - z e^{-t}} dt

    where the path is deformed as needed to avoid poles and branch
    cuts of the integrand.
    The default method chooses an algorithm automatically and also
    checks for some special cases where the function can be expressed
    in terms of simpler functions (Hurwitz zeta, polylogarithms).

Stieltjes constants
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_stieltjes(acb_t res, const fmpz_t n, const acb_t a, slong prec)

    Given a nonnegative integer *n*, sets *res* to the generalized Stieltjes constant
    `\gamma_n(a)` which is the coefficient in the Laurent series of the
    Hurwitz zeta function at the pole

    .. math::

        \zeta(s,a) = \frac{1}{s-1} + \sum_{n=0}^\infty \frac{(-1)^n}{n!} \gamma_n(a) (s-1)^n.

    With `a = 1`, this gives the ordinary Stieltjes constants for the
    Riemann zeta function.

    This function uses an integral representation to permit fast computation
    for extremely large *n* [JB2018]_. If *n* is moderate and the precision
    is high enough, it falls back to evaluating the Hurwitz zeta function
    of a power series and reading off the last coefficient.

    Note that for computing a range of values
    `\gamma_0(a), \ldots, \gamma_n(a)`, it is
    generally more efficient to evaluate the Hurwitz zeta function series
    expansion once at `s = 1` than to call this function repeatedly,
    unless *n* is extremely large (at least several hundred).

Dirichlet character evaluation
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_chi(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, ulong n, slong prec)

    Sets *res* to `\chi(n)`, the value of the Dirichlet character *chi*
    at the integer *n*.

.. function:: void acb_dirichlet_chi_vec(acb_ptr v, const dirichlet_group_t G, const dirichlet_char_t chi, slong nv, slong prec)

    Compute the *nv* first Dirichlet values.

.. function:: void acb_dirichlet_pairing(acb_t res, const dirichlet_group_t G, ulong m, ulong n, slong prec)

.. function:: void acb_dirichlet_pairing_char(acb_t res, const dirichlet_group_t G, const dirichlet_char_t a, const dirichlet_char_t b, slong prec)

    Sets *res* to the value of the Dirichlet pairing `\chi(m,n)` at numbers `m` and `n`.
    The second form takes two characters as input.

Dirichlet character Gauss, Jacobi and theta sums
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_gauss_sum_naive(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

.. function:: void acb_dirichlet_gauss_sum_factor(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

.. function:: void acb_dirichlet_gauss_sum_order2(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

.. function:: void acb_dirichlet_gauss_sum_theta(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

.. function:: void acb_dirichlet_gauss_sum(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)


   Sets *res* to the Gauss sum

   .. math::

      G_q(a) = \sum_{x \bmod q} \chi_q(a, x) e^{\frac{2i\pi x}q}

   - the *naive* version computes the sum as defined.

   - the *factor* version writes it as a product of local Gauss sums by chinese
     remainder theorem.

   - the *order2* version assumes *chi* is real and primitive and returns
     `i^p\sqrt q` where `p` is the parity of `\chi`.

   - the *theta* version assumes that *chi* is primitive to obtain the Gauss
     sum by functional equation of the theta series at `t=1`. An abort will be
     raised if the theta series vanishes at `t=1`. Only 4 exceptional
     characters of conductor 300 and 600 are known to have this particularity,
     and none with primepower modulus.

   - the default version automatically combines the above methods.

   - the *ui* version only takes the Conrey number *a* as parameter.

.. function:: void acb_dirichlet_jacobi_sum_naive(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi1, const dirichlet_char_t chi2, slong prec)

.. function:: void acb_dirichlet_jacobi_sum_factor(acb_t res,  const dirichlet_group_t G, const dirichlet_char_t chi1, const dirichlet_char_t chi2, slong prec)

.. function:: void acb_dirichlet_jacobi_sum_gauss(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi1, const dirichlet_char_t chi2, slong prec)

.. function:: void acb_dirichlet_jacobi_sum(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi1,  const dirichlet_char_t chi2, slong prec)

.. function:: void acb_dirichlet_jacobi_sum_ui(acb_t res, const dirichlet_group_t G, ulong a, ulong b, slong prec)

   Computes the Jacobi sum

   .. math::

      J_q(a,b) = \sum_{x \bmod q} \chi_q(a, x)\chi_q(b, 1-x)

   - the *naive* version computes the sum as defined.

   - the *factor* version writes it as a product of local Jacobi sums

   - the *gauss* version assumes `ab` is primitive and uses the formula
     `J_q(a,b)G_q(ab) = G_q(a)G_q(b)`

   - the default version automatically combines the above methods.

   - the *ui* version only takes the Conrey numbers *a* and *b* as parameters.

.. function:: void acb_dirichlet_chi_theta_arb(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, const arb_t t, slong prec)

.. function:: void acb_dirichlet_ui_theta_arb(acb_t res, const dirichlet_group_t G, ulong a, const arb_t t, slong prec)

    Compute the theta series `\Theta_q(a,t)` for real argument `t>0`.
    Beware that if `t<1` the functional equation

    .. math::

        t \theta(a,t) = \epsilon(\chi) \theta\left(\frac1a, \frac1t\right)

    should be used, which is not done automatically (to avoid recomputing the
    Gauss sum).

    We call *theta series* of a Dirichlet character the quadratic series

    .. math::

       \Theta_q(a) = \sum_{n\geq 0} \chi_q(a, n) n^p x^{n^2}

    where `p` is the parity of the character `\chi_q(a,\cdot)`.

    For `\Re(t)>0` we write `x(t)=\exp(-\frac{\pi}{N}t^2)` and define

    .. math::

       \Theta_q(a,t) = \sum_{n\geq 0} \chi_q(a, n) x(t)^{n^2}.

.. function:: ulong acb_dirichlet_theta_length(ulong q, const arb_t t, slong prec)

   Compute the number of terms to be summed in the theta series of argument *t*
   so that the tail is less than `2^{-\mathrm{prec}}`.

.. function:: void acb_dirichlet_qseries_arb_powers_naive(acb_t res, const arb_t x, int p, const ulong * a, const acb_dirichlet_roots_t z, slong len, slong prec)

.. function:: void acb_dirichlet_qseries_arb_powers_smallorder(acb_t res, const arb_t x, int p, const ulong * a, const acb_dirichlet_roots_t z, slong len, slong prec)

   Compute the series `\sum n^p z^{a_n} x^{n^2}` for exponent list *a*,
   precomputed powers *z* and parity *p* (being 0 or 1).

   The *naive* version sums the series as defined, while the *smallorder*
   variant evaluates the series on the quotient ring by a cyclotomic polynomial
   before evaluating at the root of unity, ignoring its argument *z*.

Discrete Fourier transforms
-------------------------------------------------------------------------------

If `f` is a function `\mathbb Z/q\mathbb Z\to \mathbb C`,
its discrete Fourier transform is the function
defined on Dirichlet characters mod `q` by

.. math::

   \hat f(\chi) = \sum_{x\mod q}\overline{\chi(x)}f(x)

See the :ref:`acb-dft` module.

Here we take advantage of the Conrey isomorphism `G \to \hat G`
to consider the Fourier transform on Conrey labels as

.. math::

   g(a) = \sum_{b\bmod q}\overline{\chi_q(a,b)}f(b)


.. function:: void acb_dirichlet_dft_conrey(acb_ptr w, acb_srcptr v, const dirichlet_group_t G, slong prec)

   Compute the DFT of *v* using Conrey indices.
   This function assumes *v* and *w* are vectors
   of size *G->phi_q*, whose values correspond to a lexicographic ordering
   of Conrey logs (as obtained using :func:`dirichlet_char_next` or
   by :func:`dirichlet_char_index`).

   For example, if `q=15`, the Conrey elements are stored in following
   order

   =======  =============  =====================
    index    log = [e,f]     number = 7^e 11^f
   =======  =============  =====================
      0       [0, 0]        1
      1       [0, 1]        7
      2       [0, 2]        4
      3       [0, 3]        13
      4       [0, 4]        1
      5       [1, 0]        11
      6       [1, 1]        2
      7       [1, 2]        14
      8       [1, 3]        8
      9       [1, 4]        11
   =======  =============  =====================

.. function:: void acb_dirichlet_dft(acb_ptr w, acb_srcptr v, const dirichlet_group_t G, slong prec)

   Compute the DFT of *v* using Conrey numbers.
   This function assumes *v* and *w* are vectors of size *G->q*.
   All values at index not coprime to *G->q* are ignored.

Dirichlet L-functions
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_root_number_theta(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

.. function:: void acb_dirichlet_root_number(acb_t res, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

   Sets *res* to the root number `\epsilon(\chi)` for a primitive character *chi*,
   which appears in the functional equation (where `p` is the parity of `\chi`):

   .. math::

      \left(\frac{q}{\pi}\right)^{\frac{s+p}2}\Gamma\left(\frac{s+p}2\right) L(s, \chi) = \epsilon(\chi) \left(\frac{q}{\pi}\right)^{\frac{1-s+p}2}\Gamma\left(\frac{1-s+p}2\right) L(1 - s, \overline\chi)

   - The *theta* variant uses the evaluation at `t=1` of the Theta series.

   - The default version computes it via the gauss sum.

.. function:: void acb_dirichlet_l_hurwitz(acb_t res, const acb_t s, const acb_dirichlet_hurwitz_precomp_t precomp, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

    Computes `L(s,\chi)` using decomposition in terms of the Hurwitz zeta function

    .. math::

        L(s,\chi) = q^{-s}\sum_{k=1}^q \chi(k) \,\zeta\!\left(s,\frac kq\right).

    If `s = 1` and `\chi` is non-principal, the deflated Hurwitz zeta function
    is used to avoid poles.

    If *precomp* is *NULL*, each Hurwitz zeta function value is computed
    directly. If a pre-initialized *precomp* object is provided, this will be
    used instead to evaluate the Hurwitz zeta function.

.. function:: void acb_dirichlet_l_euler_product(acb_t res, const acb_t s, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

.. function:: void _acb_dirichlet_euler_product_real_ui(arb_t res, ulong s, const signed char * chi, int mod, int reciprocal, slong prec)

    Computes `L(s,\chi)` directly using the Euler product. This is
    efficient if *s* has large positive real part. As implemented, this
    function only gives a finite result if `\operatorname{re}(s) \ge 2`.

    An error bound is computed via :func:`mag_hurwitz_zeta_uiui`.
    If *s* is complex, replace it with its real part. Since

    .. math::

        \frac{1}{L(s,\chi)} = \prod_{p} \left(1 - \frac{\chi(p)}{p^s}\right)
                = \sum_{k=1}^{\infty} \frac{\mu(k)\chi(k)}{k^s}

    and the truncated product gives all smooth-index terms in the series, we have

    .. math::

        \left|\prod_{p < N} \left(1 - \frac{\chi(p)}{p^s}\right) - \frac{1}{L(s,\chi)}\right|
        \le \sum_{k=N}^{\infty} \frac{1}{k^s} = \zeta(s,N).

    The underscore version specialized for integer *s* assumes that `\chi` is
    a real Dirichlet character given by the explicit list *chi* of character
    values at 0, 1, ..., *mod* - 1. If *reciprocal* is set, it computes
    `1 / L(s,\chi)` (this is faster if the reciprocal can be used directly).

.. function:: void acb_dirichlet_l(acb_t res, const acb_t s, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

    Computes `L(s,\chi)` using a default choice of algorithm.

.. function:: void acb_dirichlet_l_fmpq(acb_t res, const fmpq_t s, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)
              void acb_dirichlet_l_fmpq_afe(acb_t res, const fmpq_t s, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

    Computes `L(s,\chi)` where *s* is a rational number.
    The *afe* version uses the approximate functional equation;
    the default version chooses an algorithm automatically.

.. function:: void acb_dirichlet_l_vec_hurwitz(acb_ptr res, const acb_t s, const acb_dirichlet_hurwitz_precomp_t precomp, const dirichlet_group_t G, slong prec)

    Compute all values `L(s,\chi)` for `\chi` mod `q`, using the
    Hurwitz zeta function and a discrete Fourier transform.
    The output *res* is assumed to have length *G->phi_q* and values
    are stored by lexicographically ordered
    Conrey logs. See :func:`acb_dirichlet_dft_conrey`.

    If *precomp* is *NULL*, each Hurwitz zeta function value is computed
    directly. If a pre-initialized *precomp* object is provided, this will be
    used instead to evaluate the Hurwitz zeta function.

.. function:: void acb_dirichlet_l_jet(acb_ptr res, const acb_t s, const dirichlet_group_t G, const dirichlet_char_t chi, int deflate, slong len, slong prec)

    Computes the Taylor expansion of `L(s,\chi)` to length *len*,
    i.e. `L(s), L'(s), \ldots, L^{(len-1)}(s) / (len-1)!`.
    If *deflate* is set, computes the expansion of

    .. math::

        L(s,\chi) - \frac{\sum_{k=1}^q \chi(k)}{(s-1)q}

    instead. If *chi* is a principal character, then this has the effect of
    subtracting the pole with residue `\sum_{k=1}^q \chi(k) = \phi(q) / q`
    that is located at `s = 1`. In particular, when evaluated at `s = 1`, this
    gives the regular part of the Laurent expansion.
    When *chi* is non-principal, *deflate* has no effect.

.. function:: void _acb_dirichlet_l_series(acb_ptr res, acb_srcptr s, slong slen, const dirichlet_group_t G, const dirichlet_char_t chi, int deflate, slong len, slong prec)

.. function:: void acb_dirichlet_l_series(acb_poly_t res, const acb_poly_t s, const dirichlet_group_t G, const dirichlet_char_t chi, int deflate, slong len, slong prec)

    Sets *res* to the power series `L(s,\chi)` where *s* is a given power series, truncating the result to length *len*.
    See :func:`acb_dirichlet_l_jet` for the meaning of the *deflate* flag.

Hardy Z-functions
-------------------------------------------------------------------------------

For convenience, setting both *G* and *chi* to *NULL* in the following
methods selects the Riemann zeta function.

Currently, these methods require *chi* to be a primitive character.

.. function:: void acb_dirichlet_hardy_theta(acb_ptr res, const acb_t t, const dirichlet_group_t G, const dirichlet_char_t chi, slong len, slong prec)

    Computes the phase function used to construct the Z-function.
    We have

    .. math::

        \theta(t) = -\frac{t}{2} \log(\pi/q) - \frac{i \log(\epsilon)}{2}
            + \frac{\log \Gamma((s+\delta)/2) - \log \Gamma((1-s+\delta)/2)}{2i}

    where `s = 1/2+it`, `\delta` is the parity of *chi*, and `\epsilon`
    is the root number as computed by :func:`acb_dirichlet_root_number`.
    The first *len* terms in the Taylor expansion are written to the output.

.. function:: void acb_dirichlet_hardy_z(acb_ptr res, const acb_t t, const dirichlet_group_t G, const dirichlet_char_t chi, slong len, slong prec)

    Computes the Hardy Z-function, also known as the Riemann-Siegel Z-function
    `Z(t) = e^{i \theta(t)} L(1/2+it)`, which is real-valued for real *t*.
    The first *len* terms in the Taylor expansion are written to the output.

.. function:: void _acb_dirichlet_hardy_theta_series(acb_ptr res, acb_srcptr t, slong tlen, const dirichlet_group_t G, const dirichlet_char_t chi, slong len, slong prec)

.. function:: void acb_dirichlet_hardy_theta_series(acb_poly_t res, const acb_poly_t t, const dirichlet_group_t G, const dirichlet_char_t chi, slong len, slong prec)

    Sets *res* to the power series `\theta(t)` where *t* is a given power series, truncating the result to length *len*.

.. function:: void _acb_dirichlet_hardy_z_series(acb_ptr res, acb_srcptr t, slong tlen, const dirichlet_group_t G, const dirichlet_char_t chi, slong len, slong prec)

.. function:: void acb_dirichlet_hardy_z_series(acb_poly_t res, const acb_poly_t t, const dirichlet_group_t G, const dirichlet_char_t chi, slong len, slong prec)

    Sets *res* to the power series `Z(t)` where *t* is a given power series, truncating the result to length *len*.

Gram points
-------------------------------------------------------------------------------

.. function:: void acb_dirichlet_gram_point(arb_t res, const fmpz_t n, const dirichlet_group_t G, const dirichlet_char_t chi, slong prec)

    Sets *res* to the *n*-th Gram point `g_n`, defined as the unique solution
    in `[7, \infty)` of `\theta(g_n) = \pi n`. Currently only the Gram points
    corresponding to the Riemann zeta function are supported and *G* and *chi*
    must both be set to *NULL*. Requires `n \ge -1`.

Riemann zeta function zeros
-------------------------------------------------------------------------------

The following functions for counting and isolating zeros of the Riemann zeta
function use the ideas from the implementation of Turing's method in
mpmath [Joh2018b]_ by Juan Arias de Reyna, described in [Ari2012]_.

.. function:: ulong acb_dirichlet_turing_method_bound(const fmpz_t p)

    Computes an upper bound *B* for the minimum number of consecutive good
    Gram blocks sufficient to count nontrivial zeros of the Riemann zeta
    function using Turing's method [Tur1953]_ as updated by [Leh1970]_,
    [Bre1979]_, and [Tru2011]_.

    Let `N(T)` denote the number of zeros (counted according to their
    multiplicities) of `\zeta(s)` in the region `0 < \operatorname{Im}(s) \le T`.
    If at least *B* consecutive Gram blocks with union `[g_n, g_p)`
    satisfy Rosser's rule, then `N(g_n) \le n + 1` and `N(g_p) \ge p + 1`.

.. function:: int _acb_dirichlet_definite_hardy_z(arb_t res, const arf_t t, slong * pprec)

    Sets *res* to the Hardy Z-function `Z(t)`.
    The initial precision (* *pprec*) is increased as necessary
    to determine the sign of `Z(t)`. The sign is returned.

.. function:: void _acb_dirichlet_isolate_gram_hardy_z_zero(arf_t a, arf_t b, const fmpz_t n)

    Uses Gram's law to compute an interval `(a, b)` that
    contains the *n*-th zero of the Hardy Z-function and no other zero.
    Requires `1 \le n \le 126`.

.. function:: void _acb_dirichlet_isolate_rosser_hardy_z_zero(arf_t a, arf_t b, const fmpz_t n)

    Uses Rosser's rule to compute an interval `(a, b)` that
    contains the *n*-th zero of the Hardy Z-function and no other zero.
    Requires `1 \le n \le 13999526`.

.. function:: void _acb_dirichlet_isolate_turing_hardy_z_zero(arf_t a, arf_t b, const fmpz_t n)

    Computes an interval `(a, b)` that contains the *n*-th zero of the
    Hardy Z-function and no other zero, following Turing's method.
    Requires `n \ge 2`.

.. function:: void acb_dirichlet_isolate_hardy_z_zero(arf_t a, arf_t b, const fmpz_t n)

    Computes an interval `(a, b)` that contains the *n*-th zero of the
    Hardy Z-function and contains no other zero, using the most appropriate
    underscore version of this function. Requires `n \ge 1`.

.. function:: void _acb_dirichlet_refine_hardy_z_zero(arb_t res, const arf_t a, const arf_t b, slong prec)

    Sets *res* to the unique zero of the Hardy Z-function in the
    interval `(a, b)`.

.. function:: void acb_dirichlet_hardy_z_zero(arb_t res, const fmpz_t n, slong prec)

    Sets *res* to the *n*-th zero of the Hardy Z-function, requiring `n \ge 1`.

.. function:: void acb_dirichlet_hardy_z_zeros(arb_ptr res, const fmpz_t n, slong len, slong prec)

    Sets the entries of *res* to *len* consecutive zeros of the
    Hardy Z-function, beginning with the *n*-th zero. Requires positive *n*.

.. function:: void acb_dirichlet_zeta_zero(acb_t res, const fmpz_t n, slong prec)

    Sets *res* to the *n*-th nontrivial zero of `\zeta(s)`, requiring `n \ge 1`.

.. function:: void acb_dirichlet_zeta_zeros(acb_ptr res, const fmpz_t n, slong len, slong prec)

    Sets the entries of *res* to *len* consecutive nontrivial zeros of `\zeta(s)`
    beginning with the *n*-th zero. Requires positive *n*.

.. function:: void _acb_dirichlet_exact_zeta_nzeros(fmpz_t res, const arf_t t)

.. function:: void acb_dirichlet_zeta_nzeros(arb_t res, const arb_t t, slong prec)

    Compute the number of zeros (counted according to their multiplicities)
    of `\zeta(s)` in the region `0 < \operatorname{Im}(s) \le t`.

.. function:: void acb_dirichlet_backlund_s(arb_t res, const arb_t t, slong prec)

    Compute `S(t) = \frac{1}{\pi}\operatorname{arg}\zeta(\frac{1}{2} + it)`
    where the argument is defined by continuous variation of `s` in `\zeta(s)`
    starting at `s = 2`, then vertically to `s = 2 + it`, then horizontally
    to `s = \frac{1}{2} + it`. In particular `\operatorname{arg}` in this
    context is not the principal value of the argument, and it cannot be
    computed directly by :func:`acb_arg`. In practice `S(t)` is computed as
    `S(t) = N(t) - \frac{1}{\pi}\theta(t) - 1` where `N(t)` is
    :func:`acb_dirichlet_zeta_nzeros` and `\theta(t)` is
    :func:`acb_dirichlet_hardy_theta`.

.. function:: void acb_dirichlet_backlund_s_bound(mag_t res, const arb_t t)

    Compute an upper bound for `|S(t)|` quickly. Theorem 1
    and the bounds in (1.2) in [Tru2014]_ are used.

.. function:: void acb_dirichlet_zeta_nzeros_gram(fmpz_t res, const fmpz_t n)

    Compute `N(g_n)`. That is, compute the number of zeros (counted according
    to their multiplicities) of `\zeta(s)` in the region
    `0 < \operatorname{Im}(s) \le g_n` where `g_n` is the *n*-th Gram point.
    Requires `n \ge -1`.

.. function:: slong acb_dirichlet_backlund_s_gram(const fmpz_t n)

    Compute `S(g_n)` where `g_n` is the *n*-th Gram point. Requires `n \ge -1`.

Riemann zeta function zeros (Platt's method)
-------------------------------------------------------------------------------

The following functions related to the Riemann zeta function use the ideas
and formulas described by David J. Platt in [Pla2017]_.

.. function:: void acb_dirichlet_platt_scaled_lambda(arb_t res, const arb_t t, slong prec)

    Compute `\Lambda(t) e^{\pi t/4}` where

    .. math::

        \Lambda(t) = \pi^{-\frac{it}{2}}
                         \Gamma\left(\frac{\frac{1}{2}+it}{2}\right)
                         \zeta\left(\frac{1}{2} + it\right)

    is defined in the beginning of section 3 of [Pla2017]_. As explained in
    [Pla2011]_ this function has the same zeros as `\zeta(1/2 + it)` and is
    real-valued by the functional equation, and the exponential factor is
    designed to counteract the decay of the gamma factor as `t` increases.

.. function:: void acb_dirichlet_platt_scaled_lambda_vec(arb_ptr res, const fmpz_t T, slong A, slong B, slong prec)

.. function:: void acb_dirichlet_platt_multieval(arb_ptr res, const fmpz_t T, slong A, slong B, const arb_t h, const fmpz_t J, slong K, slong sigma, slong prec)

.. function:: void acb_dirichlet_platt_multieval_threaded(arb_ptr res, const fmpz_t T, slong A, slong B, const arb_t h, const fmpz_t J, slong K, slong sigma, slong prec)

    Compute :func:`acb_dirichlet_platt_scaled_lambda` at `N=AB` points on a
    grid, following the notation of [Pla2017]_. The first point on the grid
    is `T - B/2` and the distance between grid points is `1/A`. The product
    `N=AB` must be an even integer. The multieval versions evaluate the
    function at all points on the grid simultaneously using discrete Fourier
    transforms, and they require the four additional tuning parameters
    *h*, *J*, *K*, and *sigma*. The *threaded* multieval version splits the
    computation over the number of threads returned by
    *flint_get_num_threads()*, while the default multieval version chooses
    whether to use multithreading automatically.

.. function:: void acb_dirichlet_platt_ws_interpolation(arb_t res, arf_t deriv, const arb_t t0, arb_srcptr p, const fmpz_t T, slong A, slong B, slong Ns_max, const arb_t H, slong sigma, slong prec)

    Compute :func:`acb_dirichlet_platt_scaled_lambda` at *t0* by
    Gaussian-windowed Whittaker-Shannon interpolation of points evaluated by
    :func:`acb_dirichlet_platt_scaled_lambda_vec`. The derivative is
    also approximated if the output parameter *deriv* is not *NULL*.
    *Ns_max* defines the maximum number of supporting points to be used in
    the interpolation on either side of *t0*. *H* is the standard deviation
    of the Gaussian window centered on *t0* to be applied before the
    interpolation. *sigma* is an odd positive integer tuning parameter
    `\sigma \in 2\mathbb{Z}_{>0}+1` used in computing error bounds.

.. function:: slong _acb_dirichlet_platt_local_hardy_z_zeros(arb_ptr res, const fmpz_t n, slong len, const fmpz_t T, slong A, slong B, const arb_t h, const fmpz_t J, slong K, slong sigma_grid, slong Ns_max, const arb_t H, slong sigma_interp, slong prec)
.. function:: slong acb_dirichlet_platt_local_hardy_z_zeros(arb_ptr res, const fmpz_t n, slong len, slong prec)
.. function:: slong acb_dirichlet_platt_hardy_z_zeros(arb_ptr res, const fmpz_t n, slong len, slong prec)

    Sets at most the first *len* entries of *res* to consecutive
    zeros of the Hardy Z-function starting with the *n*-th zero.
    The number of obtained consecutive zeros is returned. The first two
    function variants each make a single call to Platt's grid evaluation
    of the scaled Lambda function, whereas the third variant performs as many
    evaluations as necessary to obtain *len* consecutive zeros.
    The final several parameters of the underscored local variant have the same
    meanings as in the functions :func:`acb_dirichlet_platt_multieval`
    and :func:`acb_dirichlet_platt_ws_interpolation`. The non-underscored
    variants currently expect `10^4 \leq n \leq 10^{23}`. The user has the
    option of multi-threading through *flint_set_num_threads(numthreads)*.

.. function:: slong acb_dirichlet_platt_zeta_zeros(acb_ptr res, const fmpz_t n, slong len, slong prec)

    Sets at most the first *len* entries of *res* to consecutive
    zeros of the Riemann zeta function starting with the *n*-th zero.
    The number of obtained consecutive zeros is returned. It currently
    expects `10^4 \leq n \leq 10^{23}`. The user has the option of
    multi-threading through *flint_set_num_threads(numthreads)*.
