AUTOMATED DIFFERENTIAL COMPUTATION IN THE ADAMS SPECTRAL SEQUENCE JOEY BEAUVAIS-FEISTHAUER

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AUTOMATED DIFFERENTIAL COMPUTATION IN THE
ADAMS SPECTRAL SEQUENCE
JOEY BEAUVAIS-FEISTHAUER
Abstract. We describe an algorithm for the automated deduction of
many d2differentials in the Adams spectral sequence. We discuss our
implementation and the results of the computation.
1. Introduction
A central problem in homotopy theory is the computation of stable homo-
topy groups. One of our most efficient tools is the Adams spectral sequence,
which uses information about certain Ext groups to compute stable homo-
topy groups. In our case of interest, its E2page is a differential graded
algebra isomorphic to the cohomology of the Steenrod algebra, and it con-
verges to the stable homotopy groups of spheres.
The determination of the additive and multiplicative structure of this
differential graded algebra is a hard problem, but manageable in practice.
Being defined entirely in terms of homological algebra, its calculation can
be automated using computers. For instance, Bruner and Rognes [BR21a]
have computed it up to total degree 184, which is the data that we use for
our results in this paper. They have since then extended their computation
to total degree 200 [BR22], and the author is currently participating in a
similar computation up to stem 256 [BFCC].
While we have a good grasp of the algebraic structure of its E2page, the
main challenge when working with the Adams spectral sequence in general
is the computation of its differentials. In particular, the first obstacle is
computing the differentials on the E2page. A wide variety of ad hoc tech-
niques have been used to compute some of their values [IWX20]. We have
developed a technique to systematize this procedure.
We introduce the new results that our algorithm found in Section 2. We
then give a brief exposition of the theory behind our algorithm in Sec-
tions 3 and 4, followed by a breakdown of the algorithm in Section 5.
2020 Mathematics Subject Classification. Primary 55T15; Secondary 55Q45, 55-04.
Key words and phrases. Adams spectral sequence, stable homotopy groups of spheres,
software for spectral sequence computation.
The author was partially supported by National Science Foundation grant DMS-
1904241.
1
arXiv:2210.15169v1 [math.AT] 27 Oct 2022
2 JOEY BEAUVAIS-FEISTHAUER
Related work. We should mention that some of these results were already
present in unpublished work of Bruner from around 2005 [Bru05]. However,
we believe that our method is more conceptual and generalizes better to
other spectral sequences. Furthermore, we apply this algorithm to a larger
range, which necessarily gives us stronger results.
Recently, Dexter Chua has developed a tool to compute d2differentials
algorithmically, directly from homological algebra [Chu21]. In practice we
have found that, using Chua’s algorithm, computing the differentials on the
E2page is no harder than computing its product structure. This arguably
means that, similarly to the computation of the additive and multiplica-
tive structure of the E2page, the computation of its differentials can be
considered “solved”.
However, we believe our method of propagation remains relevant. Firstly,
the algorithm allows us to not only determine many d2differentials but
explore their interrelationship. Noticing this qualitative behavior is what
led us to formulate Conjecture 2.3. Secondly, although we only discuss
the results that our procedure gave while examining the Adams spectral
sequence, and more specifically its E2page, this same procedure is readily
applicable to any other differential graded algebra. It has already been used
to study the d3differentials of the Adams spectral sequence, which have
been found to behave very differently from the d2differentials. The code
can also be easily adapted to work with any spectral sequence equipped with
a product structure, such as those of May type.
Conventions.
(1) We index the Adams spectral sequence using bidegrees (n, s) where
nis the stem and sis the homological degree, i.e. the usual Carte-
sian coordinates on an Adams chart. We use capital latin letters
A, B, . . . to refer to individual bidegrees, e.g. A= (20,4). Addition
of bidegrees is componentwise addition. Also, A0denotes the bide-
gree of the output of the differential on a given bidegree A. In other
words, if A= (n, s), then A0= (n1, s + 2). As an example, if we
are in the E2page of the Adams spectral sequence, and A= (20,4),
then A0= (20 1,4 + 2) = (19,6).
Notice that, for any bidegrees Aand B,
A0+B=A+B0= (A+B)0.
(2) We denote the differential bigraded algebra by E, its homogeneous
component in bidegree Aby EA, and the differential on EA(as
a linear map) by dA. The symbol DAalways denotes an affine
subspace of Hom(EA, EA0) (see Section 3), and we assume that dA
belongs to DAunless otherwise noted.
AUTOMATED ADAMS DIFFERENTIAL COMPUTATION 3
2. Results
Here are some results that our algorithm has yielded. The data we used
for the computations was generated in 2020 by Bruner and Rognes, using
Bruner’s software [Bru18]. It is a complete description of the cohomology
of the Steenrod algebra through total degree 184, along with its primary
multiplicative structure. As mentioned in the introduction, Bruner and
Rognes have since extended their computation through total degree 200. We
have preliminary results on the application of our algorithm to the larger
computation of Bruner and Rognes. For expository precision, we restrict
our discussion only to the smaller computation of Bruner and Rognes.
It is well-known that d2(h4) = h0h2
3. Adams gives the historically first
proof [Ada60], but this differential can also be computed by other argu-
ments. For example, it can be derived by recognizing h4= Sq0(h3) and
using Bruner’s theorem on the interaction between differentials and alge-
braic squaring operations [BMMS86]. The more concretely-minded reader
might prefer to read this differential off a machine computation, such as the
one in [Chu21].
Similarly, it is known that d2(∆2d2
0) = d0jm. This differential can again
be obtained by several arguments. For example, it follows by comparison
with the Adams spectral sequence for tmf [BR21b], but it can also be read
off of a machine computation.
Given only the knowledge of d2(h4) = h0h2
3, our algorithm is able to infer
the value of the differentials on a large portion of the E2page. Given only
the values of d2(h4) and d2(∆2d2
0), we were able to compute over 95% of the
differentials up to stem 140. In particular, we found the first known proofs
for the values of the differentials on the following elements:
stem filtration x d2(x)
104 18 4h1h3MP 2h2
1+Mh2
2d2
0
107 13 D1n0
107 18 M2d0Mh2
2d0e0
108 14 ∆21h1h3MP 1h2
1
108 15 M2h40
109 12 x109,12 0
109 14 2A0g2g2
109 14 ∆2(A+A0)M2h0h4
110 18 4h2
3h3
0x109,17
110 18 M2e0Mh2
2e2
0
See [IWX20] for an explanation of the notation.
Theorem 2.1.
(1) The product structure of the Adams E2page implies that all elements
represented by a black dot in Figure 1 do not support a d2differential.
4 JOEY BEAUVAIS-FEISTHAUER
(2) The product structure of the Adams E2page, together with the fact
that d2(h4) = h0h2
3, implies the existence of all cyan differentials in
Figure 2.
(3) The product structure of the Adams E2page, together with the facts
that d2(h4) = h0h2
3and d2(∆2d2
0) = d0jm, implies:
(a) that all elements represented by a black dot in Figure 2 do not
support a d2differential.
(b) the existence of all cyan differentials and all magenta differen-
tials.
摘要:

AUTOMATEDDIFFERENTIALCOMPUTATIONINTHEADAMSSPECTRALSEQUENCEJOEYBEAUVAIS-FEISTHAUERAbstract.Wedescribeanalgorithmfortheautomateddeductionofmanyd2di erentialsintheAdamsspectralsequence.Wediscussourimplementationandtheresultsofthecomputation.1.IntroductionAcentralprobleminhomotopytheoryisthecomputationo...

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