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144  MACROMOLECULAR CRYS TALLOGRAPHY

        10.2 Fourier transforms and the              independent equations as there are unknowns. Let
        phase problem                                us therefore count the number of unknowns: there
                                                     are 2N unknown electron densities at the indepen-
        We want to know the electron density that is deter-
                                                     dent grid points and 2N unknown phases. These 4N
        mined by the measured structure factor amplitudes
                                                     unknowns are inter-related by 2N Fourier summa-
        and their phases. The electron density at point x is
                                                     tions, so the system is underdetermined. Its solution
        calculated by a Fourier summation:
                                                     clearly requires at least 2N additional equations.
                   2N
                 1                                    However, in view of experimental errors, 2N addi-
                            iφ(h j )−2iπx·h j
           ρ(x) =      F(h j ) e               (1)
                 V                                   tional equations are unlikely to be sufficient to solve
                   j=0
                                                     the phase problem. In practice, we can only expect a
        In the above equation, ρ(x) is the electron density  statistically meaningful solution if we include many
        at x, while V is the volume of the unit cell, 2N is  more equations and identify the solution that agrees
        the number of relevant structure factors, and |F(h j )|  most with all equations simultaneously. Further-
        is the amplitude of the structure factor with Miller  more, since Eq. 1 is non-linear in φ(h j ), we cannot
        indices h j = (h j , k j , l j ) and a phase of φ(h j ). Note that  expecttofindananalyticsolution. Hence, wehaveto
        2N is determined by the size of the unit cell and the  make initial guesses for the unknowns and improve
        resolution.                                  from there.
          Equation 1 is a discrete Fourier transform. It is dis-  Constraints effectively reduce the number of
        crete rather than continuous because the crystalline  unknowns while restraints add to the number of
        lattice allows us to sum over a limited set of indices,  equations in the system, without changing the num-
        rather than integrate over structure factor space. The  ber of unknowns. The effectiveness of a restraint is
        discrete Fourier transform is of fundamental impor-  partially determined by the number of independent
        tance in crystallography – it is the mathematical  equations the restraint introduces in the minimiza-
        relationship that allows us to convert structure fac-  tion.Also the discriminating potential of the individ-
        tors (i.e. amplitudes and phases) into the electron  ual terms between right and wrong models affects
        density of the crystal, and (through its inverse) to  the scale of the improvement. Clearly, a robust term
        convert periodic electron density into a discrete set  with a sharp minimum contributes much more to
        of structure factors.                        phasing than a permissive term that hardly distin-
          Even though the Fourier transform in Eq. 1 is  guishes a wrong model from a correct one. Below we
        discrete, ρ(x) is continuous, as it can be calculated  summarize the general form of the additional infor-
        for any grid point x. Obviously one could calcu-  mation, constraints and restraints, which in practice
        late Eq. 1 on an arbitrary fine grid, but in that case  leads to a system of equations that is no longer
        the density at any grid point is correlated to that of  underdetermined.
        its neighbours through interpolation. Since Fourier
        transforms neither create nor destroy information,
        the maximum number of uncorrelated, independent  10.3 Reciprocal space constraints
        density grid points is limited to 2N, the number of
                                                     10.3.1 Friedel’s law
        structure factors going into the summation of Eq. 1.
        To conclude, if there are 2N structure factors, the  In protein crystallography we assume that all elec-
        corresponding electron density map has 2N inde-  tron density is real, and does not have an imaginary
        pendent grid points and there are 2N independent  component. In reciprocal space this observation is
        equations of type 1 relating the former to the latter.  known as Friedel’s law, which states that a struc-
          Intuitively, the correct application of restraints  ture factor F(h) and its Friedel mate F(−h) have
        and constraints to electron density should improve  equal amplitudes, but opposite phases. The corre-
        the phases. To quantify this notion, it is useful,  spondenceofthesetwoassumptionsfollowsstraight
        though unconventional, to proceed as if we are  from Fourier theory and, in consequence, explicitly
        solving a system of non-linear equations. A solu-  constraining all electron density to be real is entirely
        tion of such a system requires at least as many  equivalent to introducing Nadditional equalities of
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