1. Introduction
This work describes a new computational approach that may be useful when starting investigations about existence of zeros of complex functions inside extensive (complex) domains. In truth it was used in a recent research about the Riemann hypothesis, furnishing early information about its feasibility and possible trueness [
11] . After this preliminary phase, and considering that no root could be found, the mathematical proof may proceed, endowed with valuable information obtained in an empirical way.
In general terms, the Riemann hypothesis is the conjecture that the Riemann zeta function only has nontrivial roots in the set of complex numbers with real part 1/2, that is, the critical line in . It is considered by many people the most important unsolved problem in pure mathematics, and also very significant in analytic number theory because of its connections with the distribution of prime numbers and many other scientific problems. Its trivial zeros occur at all negative even integers , and the known nontrivial roots supposedly occur somewhere on the critical line, and only there. The Riemann hypothesis is concerned with the locations of these nontrivial zeros:
Figure 1.
Part of open critical strip and critical line.
Figure 1.
Part of open critical strip and critical line.
In this fashion, if the hypothesis is true, all nontrivial zeros must be located on the critical line, that is, the subset of with real part equal to 1/2 .
Furthermore, as said above, the study will be conducted only in the open region
. This is valid because roots are vertically symmetric (the conjugate of a zero is a zero as well), and horizontally symmetric relatively to the critical line - please, for more details, refer to [
1]. In this case the discovery of one root in
results in finding four roots, symmetrically located relatively to the x axis and the critical line.
At this point it is important to highlight an important but usually unperceived fact, mainly for non-mathematicians: numerical calculations typically produce approximated results and although they can seem to be exact, they could not be so. Accordingly, in the present case, an apparent root may not be a true one, and a theoretical proof is needed, mathematically speaking. For example, in [
2] it iis stated that "All the (nontrivial) zeros computed so far appear to be irrational numbers...". Incredibly, even the nontrivial zeros found by Riemann himself seem to lack such an essential theoretical validation!
Another significant issue is related to the choice of HQF ASA [
10] as the basic tool for the task at hand - as an evolutionary method, designed to deal with nonlinear, multimodal and high-dimensional problems, it seemed (and was) well-equipped to go the distance.
In the next section, several optimization sessions will be presented and discussed so as to better explain the described approach and its benefits whenever starting a new research.
2. Searching for Roots Outside the Critical Line—Riemann Zeta Function
In what follows the results of some simulations are presented and interpreted so as to illustrate the proposed ideas. The optimization sessions were realized with increasing complex domains, contained in A, and no global optimum with value equal to zero was found, signaling towards a positive answer to the Riemann conjecture. Actually, the foiund optima correspond to points very near certain zeros on the critical line.
2.1. Domain
In this first domain the modular surface stays far from the complex plane, with minimum value of 0.526256339271718331929 and minimizer (0.50001253297613657 , 2.475747919503654249 ). This is so because the first known zero of (departing from zero) is 14.134725, once more signaling favorably to RH.
Figure 2.
Modular surface for restricted to .
Figure 2.
Modular surface for restricted to .
Therefore, it is assumed that has no roots inside the current region.
2.2. Domain
In this larger domain the modular surface reaches a neighborhood of a nontrivial zero of zeta in the critical line, with minimum value of 7.93157218836881838797e-06 and minimizer ( 0.5000100000000001765 , 14.13472514160298488 ). Here, the first known zero of (departing from zero) is approximated, once more signaling favorably to RH.
Figure 3.
Modular surface for restricted to .
Figure 3.
Modular surface for restricted to .
The minimizer found by HQF ASA corresponds to the (nowadays historical) nontrivial root nearby 0.5 + 14.1347251416 i, but surely it is not a root of . Again, it is assumed that has no roots inside the current region.
2.3. Domain
In this domain the modular surface reaches neighborhoods of several nontrivial zeros of zeta in the critical line, HQF ASA converged to a point corresponding to one of them, with minimum value of 1.65412942330078749364e-05 and minimizer ( 0.5000100000000006206 , 60.83177852461846413 ).
In this simulation, the minimizer found by HQF ASA , which is not a root of , corresponds to the nontrivial root nearby 0.5 + 60.8317785 i . Of course, other roots on the critical line could have "attracted" the algorithmic dynamics, depending on the location of the initial seed. Again, it is assumed that has no roots inside the current complex domain.
Figure 4.
Modular surface for restricted to .
Figure 4.
Modular surface for restricted to .
2.4. Domain
In this domain the modular surface reaches neighborhoods of several nontrivial zeros of zeta in the critical line, HQF ASA converged to a point corresponding to one of them, with minimum value of 6.24048210760008714715e-05
and minimizer ( 0.5000099999999999545 , 572.4199841326216074e+02 ).
In this simulation, the minimizer found by HQF ASA , which is not a root of , corresponds to the nontrivial root nearby 0.5 + 572.419984132 i . Of course, other roots on the critical line could have "attracted" the algorithmic dynamics, depending on the location of the initial seed. Again, it is assumed that has no roots inside the current complex domain.
Figure 5.
Modular surface for restricted to .
Figure 5.
Modular surface for restricted to .
2.5. Domain
In this domain the modular surface reaches neighborhoods of several nontrivial zeros of zeta in the critical line, HQF ASA converged to a point corresponding to one of them, with minimum value of 4.39455845828717883705e-05
and minimizer ( 0.5000100000000001765 , 4035.10559902981413 ).
In this simulation, the minimizer found by HQF ASA , which is not a root of , corresponds to the nontrivial root nearby 0.5 + 4035.105599030 i . Of course, other roots on the critical line could have "attracted" the algorithmic dynamics, depending on the location of the initial seed. Again, it is assumed that has no roots inside the current complex domain.
Figure 6.
Modular surface for restricted to .
Figure 6.
Modular surface for restricted to .
2.6. Domain
In this domain the modular surface reaches neighborhoods of several nontrivial zeros of zeta in the critical line, HQF ASA converged to a point corresponding to one of them, with minimum value of 1.36784520528010489215e-05
and minimizer ( 0.5000100000000001765 , 68995.52289638234652 ).
In this simulation, the minimizer found by HQF ASA , which is not a root of , corresponds to the nontrivial root nearby 0.5 + 68995.522896385 i . Of course, other roots on the critical line could have "attracted" the algorithmic dynamics, depending on the location of the initial seed. Again, it is assumed that has no roots inside the current complex domain.
Figure 7.
Modular surface for restricted to .
Figure 7.
Modular surface for restricted to .
3. Practical Directives, Unfoldings and Results Relative to the Previous Evidences
As said above, the presented ideas have already produced significant results and some considerations may be helpful.
First, it is worth saying that the number of optimization sessions should be chosen so as to give the researcher enough information about the geometry of the given objective function (global optimization is basically a geometric problem) and the likelihood for the existence of global optima inside the desired region. So, there is not a rigid rule or limit for such a choice.
After this initial phase, the information obtained by means of the simulations certainly will help in creating proof strategies, rigorously demonstrating the final theoretical targets. One well-succeeded case in which the whole cycle really took place is described in [
11] (without including the preliminary step) and the theoretical proof itself has nothing to do with optimization or related subjects, but the initial prospection was fundamental to complete the overall task.
4. Conclusions
This paper exposed an heuristic way to preliminarily investigate the existence of roots for complex functions using evolutionary global optimization techniques in a given complex domain. Even though this experimental step does not represent a theoretical contribution to the subject, it can furnish strong evidences about whether such roots exist or not in that specific region and where they could be located, in the affirmative case. In any circumstance, the chosen global optimization paradigm needs to be very effective, in order not to get stuck in local minima. In the present work the selected method was HQF ASA [
10].
In a concrete case [
11] there was substantial likelihood to arrive at a satisfactory conclusion about the Riemann hypothesis. The underlying method used in this paper may be directed to any complex function, provided it satisfies certain regularity conditions, this including Dirichlet L-functions and so many others [
9].
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