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๐Ÿ”ขAlgebraic Topology

Significant Spectral Sequences

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Why This Matters

Spectral sequences are the computational workhorses of algebraic topologyโ€”they transform impossibly complex calculations into systematic, page-by-page approximations. When you're faced with computing the homology of a fibration, the stable homotopy groups of spheres, or the cohomology of a sheaf, spectral sequences provide the machinery to break these problems into manageable pieces. You're being tested on your ability to recognize which spectral sequence applies to which situation, understand how filtrations give rise to successive approximations, and trace differentials through the pages until convergence.

Don't just memorize the names and E2E_2-pagesโ€”know what structural input each spectral sequence requires and what it computes. The key concepts here are fibrations and their associated long exact sequences, derived functors and their composition, filtrations on chain complexes, and the passage from algebra to topology. When an exam asks you to compute something, your first question should be: what's the underlying structure (fibration? group extension? sheaf?) and which spectral sequence exploits it?


Fibration-Based Spectral Sequences

These spectral sequences arise from fibrations Fโ†’Eโ†’BF \to E \to B and systematically relate the homology or cohomology of the total space to that of the base and fiber. The key insight is that a fibration provides a filtration of the total space by preimages of skeleta of the base.

Serre Spectral Sequence

  • Computes Hโˆ—(E)H_*(E) from Hโˆ—(B)H_*(B) and Hโˆ—(F)H_*(F)โ€”the E2E_2-page is E2p,q=Hp(B;Hq(F))E_2^{p,q} = H_p(B; H_q(F)), assuming ฯ€1(B)\pi_1(B) acts trivially on Hโˆ—(F)H_*(F)
  • Differentials encode the twisting of the fibrationโ€”dr:Erp,qโ†’Erpโˆ’r,q+rโˆ’1d_r: E_r^{p,q} \to E_r^{p-r, q+r-1} captures how the fiber "varies" over the base
  • The workhorse for computing homology of Lie groups and classifying spacesโ€”essential for results like Hโˆ—(K(Z,n))H^*(K(\mathbb{Z}, n)) and the cohomology of BU(n)BU(n)

Eilenberg-Moore Spectral Sequence

  • Handles pullbacks of fibrationsโ€”computes Hโˆ—(Eร—BEโ€ฒ)H_*(E \times_B E') when you know the cohomology of EE, Eโ€ฒE', and BB
  • E2E_2-page involves Tor\text{Tor} over Hโˆ—(B)H^*(B)โ€”specifically E2=TorHโˆ—(B)(Hโˆ—(E),Hโˆ—(Eโ€ฒ))E_2 = \text{Tor}_{H^*(B)}(H^*(E), H^*(E'))
  • Critical for loop space calculationsโ€”since ฮฉBโ‰ƒโˆ—ร—BPB\Omega B \simeq * \times_B PB, this spectral sequence computes Hโˆ—(ฮฉB)H_*(\Omega B) from Hโˆ—(B)H^*(B)

Compare: Serre vs. Eilenberg-Mooreโ€”both start with fibrations, but Serre computes the total space from base and fiber, while Eilenberg-Moore computes fiber products. If an FRQ asks about loop spaces, Eilenberg-Moore is typically your tool; for computing Hโˆ—(BG)H^*(BG), reach for Serre.


Stable Homotopy Spectral Sequences

These operate in the stable homotopy category, where spaces are replaced by spectra and ordinary homology gives way to generalized homology theories. The algebraic input involves Ext or Tor over structured ring spectra or their homotopy groups.

Adams Spectral Sequence

  • Computes stable homotopy groups ฯ€โˆ—s(X)\pi_*^s(X)โ€”the E2E_2-page is E2s,t=ExtAs,t(Hโˆ—(X;Fp),Fp)E_2^{s,t} = \text{Ext}_{\mathcal{A}}^{s,t}(H^*(X; \mathbb{F}_p), \mathbb{F}_p) where A\mathcal{A} is the Steenrod algebra
  • Convergence is to pp-completed homotopyโ€”you compute one prime at a time, then assemble via arithmetic
  • The primary tool for ฯ€โˆ—s(S0)\pi_*^s(S^0)โ€”most of what we know about stable stems comes from Adams spectral sequence calculations

May Spectral Sequence

  • Computes the E2E_2-page of the Adams spectral sequenceโ€”breaks the Ext calculation over A\mathcal{A} into smaller pieces using the filtration by powers of the augmentation ideal
  • E1E_1-page involves Ext over associated gradedโ€”exploits the fact that gr(A)\text{gr}(\mathcal{A}) is a primitively generated Hopf algebra
  • Essential for practical Adams computationsโ€”without May, computing ExtA\text{Ext}_{\mathcal{A}} directly would be intractable beyond low degrees

Compare: Adams vs. Mayโ€”Adams goes from algebra (Ext over Steenrod) to topology (stable homotopy), while May is purely algebraic, computing the input to Adams. Think of May as preprocessing for Adams.


Generalized Cohomology Spectral Sequences

These spectral sequences connect ordinary cohomology to generalized cohomology theories like K-theory or cobordism. The filtration typically comes from the skeletal filtration of a CW complex.

Atiyah-Hirzebruch Spectral Sequence

  • Computes Eโˆ—(X)E^*(X) from Hโˆ—(X)H^*(X) and Eโˆ—(pt)E^*(pt)โ€”for any generalized cohomology theory Eโˆ—E^*, the E2E_2-page is E2p,q=Hp(X;Eq(pt))E_2^{p,q} = H^p(X; E^q(pt))
  • Differentials measure the failure of Eโˆ—E^* to be ordinary cohomologyโ€”for K-theory, the first nontrivial differential is related to Steenrod operations
  • The bridge between singular cohomology and K-theory/cobordismโ€”lets you leverage known Hโˆ—(X)H^*(X) calculations to get at Kโˆ—(X)K^*(X) or MUโˆ—(X)MU^*(X)

Compare: Atiyah-Hirzebruch vs. Serreโ€”both have E2E_2-pages that are "cohomology with coefficients," but Serre's coefficients are Hโˆ—(F)H_*(F) (from a fiber), while Atiyah-Hirzebruch's are Eโˆ—(pt)E^*(pt) (from a cohomology theory). Serre is geometric; Atiyah-Hirzebruch is about changing your cohomology theory.


Sheaf-Theoretic Spectral Sequences

These arise from the derived functor perspective on sheaf cohomology and are fundamental in algebraic geometry. The key principle is that composing left-exact functors leads to a spectral sequence relating their derived functors.

Leray Spectral Sequence

  • Computes Hโˆ—(X;F)H^*(X; \mathcal{F}) via a map f:Xโ†’Yf: X \to Yโ€”the E2E_2-page is E2p,q=Hp(Y;Rqfโˆ—F)E_2^{p,q} = H^p(Y; R^q f_* \mathcal{F}) where Rqfโˆ—R^q f_* is the higher direct image
  • Generalizes Serre to the sheaf settingโ€”when ff is a fibration and F\mathcal{F} is constant, you recover Serre
  • The tool for computing cohomology of fiber bundles in algebraic geometryโ€”essential when the base has interesting sheaf cohomology

Grothendieck Spectral Sequence

  • Relates derived functors of a composition Gโˆ˜FG \circ Fโ€”if FF sends injectives to GG-acyclics, then E2p,q=RpG(RqF(โˆ’))E_2^{p,q} = R^p G(R^q F(-)) converges to Rp+q(Gโˆ˜F)(โˆ’)R^{p+q}(G \circ F)(-)
  • Leray is a special caseโ€”take F=fโˆ—F = f_* and G=ฮ“(Y;โˆ’)G = \Gamma(Y; -)
  • The abstract machine behind most spectral sequences in algebraโ€”once you recognize a composition of functors, Grothendieck tells you there's a spectral sequence

Compare: Leray vs. Grothendieckโ€”Leray is the geometric incarnation (maps of spaces, sheaves), while Grothendieck is the abstract categorical version. Know Grothendieck for the general principle; use Leray for concrete geometric computations.


Group Cohomology Spectral Sequences

These compute the cohomology of groups by exploiting exact sequences of groups. A short exact sequence 1โ†’Nโ†’Gโ†’Qโ†’11 \to N \to G \to Q \to 1 gives a "fibration" of classifying spaces BNโ†’BGโ†’BQBN \to BG \to BQ.

Hochschild-Serre Spectral Sequence

  • Computes Hโˆ—(G;M)H^*(G; M) from a normal subgroup Nโ—ƒGN \triangleleft Gโ€”the E2E_2-page is E2p,q=Hp(G/N;Hq(N;M))E_2^{p,q} = H^p(G/N; H^q(N; M))
  • Requires understanding the G/NG/N-action on Hโˆ—(N;M)H^*(N; M)โ€”this action encodes how conjugation in GG affects NN-cohomology
  • The group-theoretic analog of Serreโ€”BNโ†’BGโ†’B(G/N)BN \to BG \to B(G/N) is a fibration, and this is its Serre spectral sequence

Lyndon-Hochschild-Serre Spectral Sequence

  • Same as Hochschild-Serre, different nameโ€”some authors distinguish by requiring MM to be a trivial module, but the terms are often used interchangeably
  • Particularly useful for computing Hโˆ—(G;Z)H^*(G; \mathbb{Z})โ€”the case of trivial integer coefficients appears constantly in geometric group theory
  • First step in computing cohomology of solvable groupsโ€”iterate over a composition series

Compare: Hochschild-Serre vs. Serreโ€”they're the same spectral sequence in different clothing. Hochschild-Serre is stated algebraically for group cohomology; Serre is stated topologically for fibrations. Recognizing this equivalence via BGBG is a key conceptual test.


Torsion and Coefficient Spectral Sequences

These spectral sequences arise from considering how cohomology changes with different coefficient groups. The Bockstein homomorphism ฮฒ:Hn(X;Z/p)โ†’Hn+1(X;Z/p)\beta: H^n(X; \mathbb{Z}/p) \to H^{n+1}(X; \mathbb{Z}/p) detects pp-torsion in integral cohomology.

Bockstein Spectral Sequence

  • Computes Hโˆ—(X;Z)/torsionโŠ—Z/pH^*(X; \mathbb{Z})/\text{torsion} \otimes \mathbb{Z}/p from Hโˆ—(X;Z/p)H^*(X; \mathbb{Z}/p)โ€”the E1E_1-page is mod pp cohomology, and d1=ฮฒd_1 = \beta is the Bockstein
  • EโˆžE_\infty detects the "pp-torsion-free part"โ€”elements surviving to EโˆžE_\infty lift to integral classes
  • Key for understanding the Universal Coefficient Theorem dynamicallyโ€”the spectral sequence refines the UCT exact sequence

Compare: Bockstein vs. Adamsโ€”both involve mod pp cohomology, but Bockstein stays in ordinary cohomology (detecting integral torsion), while Adams uses mod pp cohomology as input to compute stable homotopy. Bockstein is about coefficients; Adams is about changing from cohomology to homotopy.


Quick Reference Table

ConceptBest Examples
Computing homology of fibrationsSerre, Eilenberg-Moore
Stable homotopy groupsAdams, May
Generalized cohomology from ordinaryAtiyah-Hirzebruch
Sheaf cohomology via mapsLeray, Grothendieck
Group cohomology from extensionsHochschild-Serre, Lyndon-Hochschild-Serre
Detecting torsion in coefficientsBockstein
Loop space homologyEilenberg-Moore
Derived functor compositionGrothendieck

Self-Check Questions

  1. Both the Serre spectral sequence and the Hochschild-Serre spectral sequence have E2E_2-pages of the form "cohomology of the base with coefficients in cohomology of the fiber." What is the precise relationship between these two spectral sequences, and how does the classifying space functor mediate it?

  2. You need to compute Kโˆ—(X)K^*(X) for a CW complex XX whose ordinary cohomology Hโˆ—(X;Z)H^*(X; \mathbb{Z}) you know. Which spectral sequence do you use, and what information beyond Hโˆ—(X)H^*(X) do you need?

  3. Compare the Grothendieck spectral sequence and the Leray spectral sequence. Which is more general? Under what hypotheses does Grothendieck specialize to Leray?

  4. An FRQ asks you to compute ExtAs,t(F2,F2)\text{Ext}_{\mathcal{A}}^{s,t}(\mathbb{F}_2, \mathbb{F}_2) for small ss and tt. Which spectral sequence helps organize this computation, and what is its E1E_1-page?

  5. You're given a group extension 1โ†’Z/pโ†’Gโ†’Z/pโ†’11 \to \mathbb{Z}/p \to G \to \mathbb{Z}/p \to 1 and asked to compute Hโˆ—(G;Fp)H^*(G; \mathbb{F}_p). Which spectral sequence applies, what is the E2E_2-page, and what additional information determines the differentials?