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Motivations The Serre Spectral Sequence Spectral Sequence Training Montage, Day 1 Arun Debray and Richard Wong Summer Minicourses 2020 Slides, exercises, and video recordings can be found at https://web.ma.utexas.edu/SMC/2020/Resources.html


  1. Motivations The Serre Spectral Sequence Spectral Sequence Training Montage, Day 1 Arun Debray and Richard Wong Summer Minicourses 2020 Slides, exercises, and video recordings can be found at https://web.ma.utexas.edu/SMC/2020/Resources.html Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  2. Motivations The Serre Spectral Sequence Problem Session There will be an interactive problem session every day, and participation is strongly encouraged. We are using the free (sign-up required) A Web Whiteboard website. The link will be posted in the chat, as well as on the slack channel. Future problem sessions will be from 1-1:30pm and 2:30-3pm CDT. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  3. Motivations The Serre Spectral Sequence Motivation Let ˜ X → X be a universal cover of X , with π 1 ( X ) = G . What can one say about the relationship between H ∗ (˜ X ; Q ) and H ∗ ( X ; Q )? Theorem There is an isomorphism H ∗ ( X ; Q ) → ( H ∗ (˜ X ; Q )) G Proof. The sketch involves looking at the cellular cochain complex for X , lifting it to a cellular cochain complex for ˜ X that is compatible with the G action... Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  4. Motivations The Serre Spectral Sequence How can we generalize this theorem? Definition Let F → E → B be a Serre fibration with B path-connected. We then have the Serre spectral sequence for cohomology (with coefficients A ): E s , t = H p ( B ; H q ( F ; A )) ⇒ H p + q ( E ; A ) 2 with differential d r : E s , t → E s + r , t − r +1 r r Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  5. Motivations The Serre Spectral Sequence The key property of covering spaces that we use is the homotopy lifting property : Definition (Homotopy lifting property) A map f : E → B has the homotopy lifting property with respect to a space X if for any homotopy g t : X × I → B and any map g 0 : X → E , there exists a map ˜ ˜ g t : X × I → E lifting the homotopy g t . ˜ g 0 X E ∃ ˜ g t X ×{ 0 } f X × I B g t Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  6. Motivations The Serre Spectral Sequence Definition A map f : E → B is called a (Hurewicz) fibration if it has the homotopy lifting property for all spaces X . Definition A map f : E → B is called a Serre fibration if it has the homotopy lifting property for all disks (or equivalently, CW complexes). We will only consider fibrations with B path-connected. This implies that the fibers F = f − 1 ( b ) are all homotopy equivalent, and so we write fibrations in the form F → E → B Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  7. Motivations The Serre Spectral Sequence Example The universal cover ˜ X → X is a fibration with fiber F = π 1 ( X ). Example p 1 The projection map X × Y → X is a fibration with fiber Y . − Example The Hopf map S 1 → S 3 → S 2 is a fibration. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  8. Motivations The Serre Spectral Sequence Example For any based space ( X , ∗ ), there is the path space fibration Ω X → X I → X Where X I is the space of continuous maps f : I → X with f (0) = ∗ . Note that X I ≃ ∗ . Example For G abelian, and n ≥ 1, we have fibrations K ( G , n ) → ∗ → K ( G , n + 1) Example For G a group, we have the fibration G → EG → BG Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  9. Motivations The Serre Spectral Sequence Given a Serre fibration F → E → B , how can we relate the cohomology of E to the cohomology of B ? Remark Note that by putting a CW-structure on B, we have a filtration B 0 ⊆ B 1 ⊆ · · · ⊆ B This lifts to the Serre filtration on E: E 0 = p − 1 ( B 0 ) ⊆ E 1 = p − 1 ( B 1 ) ⊆ · · · ⊆ E Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  10. Motivations The Serre Spectral Sequence Using the Serre filtration, we can assemble the long exact sequences in relative cohomology: H n − 1 ( E s ) H n ( E s +1 , E s ) H n ( E s +1 ) H n +1 ( E s +2 , E s +1 ) H n +1 ( E s +2 ) H n − 1 ( E s − 1 ) H n ( E s , E s − 1 ) H n ( E s ) H n +1 ( E s +1 , E s ) H n +1 ( E s +1 ) H n − 1 ( E s − 2 ) H n ( E s − 1 , E s − 2 ) H n ( E s − 1 ) H n +1 ( E s , E s − 1 ) H n +1 ( E s ) We obtain a long exact sequence i → H n +1 ( E s +1 , E s ) k j · · · → H n ( E s +1 ) → H n ( E s ) → H n +1 ( E s +1 ) → · · · − − − Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  11. Motivations The Serre Spectral Sequence We can rewrite this long exact sequence as an unrolled exact couple : i i H ∗ ( E ) H ∗ ( E s +1 ) H ∗ ( E s ) H ∗ ( E s − 1 ) · · · · · · j j k k H ∗ ( E s +1 , E s ) H ∗ ( E s , E s − 1 ) Remark Observe that this diagram is not commutative. Furthermore, since k ◦ j = 0 , the composite d := j ◦ k : H ∗ ( E s , E s − 1 ) → H ∗ ( E s +1 , E s ) can be thought of as a chain complex differential, as d 2 = 0 . Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  12. Motivations The Serre Spectral Sequence We have a bigraded chain complex · · · → H ∗ ( E s − 1 , E s ) d → H ∗ ( E s , E s − 1 ) d → H ∗ ( E s +1 , E s ) → · · · − − We call this chain complex the E 1 page of the Serre spectral sequence. ◮ How does this chain complex relate to H ∗ ( E )? ◮ How does this chain complex relate to H ∗ ( B ) and H ∗ ( F )? ◮ What happens if we take the homology of this chain complex? ◮ We get another exact couple, and the E 2 page of the Serre spectral sequence. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  13. Motivations The Serre Spectral Sequence Definition Let F → E → B be a Serre fibration with B path-connected. We then have the Serre spectral sequence for cohomology (with coefficients A ): E s , t = H p ( B ; H q ( F ; A )) ⇒ H p + q ( E ; A ) 2 with differential d r : E s , t → E s + r , t − r +1 r r Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  14. Motivations The Serre Spectral Sequence Remark Some formulations of the Serre spectral sequence require that π 1 ( B ) = 0 , or that π 1 ( B ) acts trivially on H ∗ ( F ; A ) . This assumption only exists so that one only needs to consider ordinary cohomology, as opposed to working with cohomology with local coefficients. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  15. Motivations The Serre Spectral Sequence 4 3 2 1 0 0 1 2 3 4 5 6 An example E 2 page of the Serre Spectral Sequence. ◦ = Z , • = Z / 2. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  16. Motivations The Serre Spectral Sequence 4 3 2 1 0 0 1 2 3 4 5 6 An example E 3 page of the Serre Spectral Sequence. ◦ = Z , • = Z / 2. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  17. Motivations The Serre Spectral Sequence 4 3 2 1 0 0 1 2 3 4 5 6 An example E 4 = E ∞ page of the Serre Spectral Sequence. ◦ = Z , • = Z / 2. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  18. Motivations The Serre Spectral Sequence In the Serre spectral sequence, we have that E s , t ∼ = E s , t r +1 for r sufficiently large r . We call this the E ∞ -page . Moreover, the spectral sequence converges to H ∗ ( E ; A ) in the following sense: The E ∞ -page is isomorphic to the associated graded of H ∗ ( E ). This means that for F t s = ker( H t ( E ) → H t ( E s − 1 )), we have � E s , t ∞ ∼ � F t s / F t +1 = s t t Therefore, we can calculate H ∗ ( E ; A ) up to group extension. We can sometimes recover the multiplicative structure of H ∗ ( E ; A ) as well. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  19. Motivations The Serre Spectral Sequence 4 3 2 1 0 0 1 2 3 4 5 6 An example E 4 = E ∞ page of the Serre Spectral Sequence. ◦ = Z , • = Z / 2. Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

  20. Motivations The Serre Spectral Sequence Definition Let F → E → B be a Serre fibration with B path-connected. We then have the Serre spectral sequence for cohomology (with coefficients A ): E s , t = H p ( B ; H q ( F ; A )) ⇒ H p + q ( E ; A ) 2 with differential d r : E s , t → E s + r , t − r +1 r r Arun Debray and Richard Wong University of Texas at Austin Spectral Sequence Training Montage, Day 1

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