15-855: Graduate Computational Complexity Theory, Fall 2017 (2024)


Meeting time and place: Tuesday and Thursday, 10:30am-11:50am, GHC 4303.
Course bulletin board: Piazza. This will be used for all course-related communications.
Course grading: Gradescope. Course entry code: M3YGWX
Instructor: Ryan O'Donnell (Office Hours: Fri. 3:30-4:30, GHC7213)
TAs: Ellis Hershkowitz (Office Hours: Mon. 1:00-3:00, GHC9219), Nicolas Resch (Office Hours: Sun. 3:00-4:00, GHC7507)
Textbook: Computational Complexity: A Modern Approach, by Arora and Barak.
Handwritten lecture notes and homework in one giant (120MB) pdf
YouTube playlist for lectures (though the below Panopto links may be preferable) Lectures
Lecture 01: Overview of the course Review: Arora--Barak Chapters 1 (except 1.7), 2, and 4
Lecture 02: Hierarchy theorems: time, space, and nondeterministic versions Reading: Arora--Barak Chapters 3.1, 3.2; also 1.7 if you're interested in the O(T log T) simulation
Lecture 03: Hopcroft--Paul--Valiant Theorem Reading: The original paper
Lecture 04: Circuits Reading: Arora--Barak Chapters 6.1--6.7
Lecture 05: Probabilistic complexity classes Reading: Arora--Barak Chapters 7.1--7.5 (except not 7.5.2)
Lecture 06: Quasilinear Cook--Levin Theorem Reading: Section 2.3.1 in this survey by van Melkebeek, these slides by Viola
Lecture 07: The Polynomial Time Hierarchy and alternation Reading: Arora--Barak Chapters 5.1--5.3
Lecture 08: Oracles, and the Polynomial Time Hierarchy vs. circuits Reading: Arora--Barak Chapters 5.5, 6.4. Bonus: improving Kannan's Theorem.
Lecture 09: Time/space tradeoffs for SAT Reading: Arora--Barak Chapter 5.4
Lecture 10: Intro to Merlin-Arthur protocols: MA and MA Reading: Arora--Barak Chapter 8.2.0
Lecture 11: More on constant-round interactive proof systems Reading: Arora--Barak Chapter 8.2.4, Chapter 8 exercises
Lecture 12: Approximate counting Reading: Arora--Barak Chapter 8.2.1, 8.2.2
Lecture 13: Valiant--Vazirani Theorem and exact counting (#P) Reading: Arora--Barak Chapters 17.0, 17.1, 17.2.1, 17.3.2, 17.4.1
Lecture 14: Toda's 1st Theorem, and the Permanent Reading: Arora--Barak Chapters 17.4, 8.6.2, 17.3.1
Lecture 20 (sic): Permanent is #P-complete Reading: PowerPoint slides
Lecture 15: Algebraic circuit complexity Reading: Arora--Barak Chapter 16.1. Bonus: "algebraic NP vs. P" vs. "Boolean NP vs. P".
Lecture 16: Instance checking and the Permanent Reading: Arora--Barak Chapter 8.6
Lecture 17: IP = PSPACE Reading: Arora--Barak Chapters 8.3, 8.4
Lecture 18: Random restrictions and AC0 lower bounds Reading: Arora--Barak Chapter 14.1
Lecture 19: The Switching Lemma Reading: My old notes on Razborov's proof
Lecture 21: Monotone circuit lower bounds Reading: Arora--Barak Chapter 14.3
Lecture 22: Razborov-Smolensky lower bounds for AC0[p] Reading: Arora--Barak Chapter 14.2
Lecture 23: Toda's 2nd Theorem & lower bounds for uniform ACC Reading: Arora--Barak Chapters 17.4.4, 14.4.2; and, B.2 of the Web Addendum (with correction)
Lecture 24: Hardness vs. Randomness I Reading: Arora--Barak Chapters 20.0, 20.1
Lecture 25: Hardness vs. Randomness II Reading: Arora--Barak Chapters 20.2
Lecture 26: Hardness amplification Reading: Arora--Barak Chapters 19.0, 19.1
Lecture 27: Ironic Complexity Reading: Arora--Barak Web Addendum
Course description

Prerequisite: An undergraduate course in computational complexity theory, covering most of "Part III" of Sipser and/or most of Carnegie Mellon's 15-455.

Potential topics: Models and Time Hierarchy Theorem.Nondeterminism, padding, Hopcroft-Paul-Valiant Theorem.Circuits and advice.Randomized classes.Cook-Levin Theorem and SAT. Nondeterministic Time Hierarchy Theorem, and nondeterministic models.Oracles, alternation, and the Polynomial Time Hierarchy.Kannan's Theorem, Karp-Lipton, and PH vs. constant-depth circuits.Time-Space tradeoffs for SAT.Randomized classes vs. PH.Interactive proofs and the AM hierarchy.NP in BPP implies PH in BPP, and Boppana-Hastad-Zachos.BCGKT Theorem and Cai's Theorem.Counting classes and the permanent.Valiant's Theorem.Algebraic Complexity.IP = PSPACE and interactive proofs.Instance checkers and Santhanam's Theorem.Random restrictions and AC0 lower bounds for parity.Monotone circuit lower bounds.Razborov-Smolensky lower bounds for AC0[p].Valiant-Vazirani and Toda Theorems.Beigel-Tarui Theorem.Hardness vs. Randomness and Nisan-Wigderson.Hardness amplification and derandomization.Williams's Theorem.Natural proofs and barriers.

Evaluation

There will be 11 homeworks, and two take-home "tests".

  • Homeworks will come out on Tuesdays and be due on Tuesdays.
  • Homeworks will have 3 problems, each worth 10 points. Due to TA time limitations, only 2 out of the 3 problems will be graded.
  • The two take-home "tests" will be Oct. 10 -- Oct. 17 and Nov. 30 -- Dec. 7.
  • The tests will have 4 problems, each worth 20 points. All 4 problems will be graded.
Your final grade will be determined from your final point total out of 380. Well-being and happiness

Your well-being and happiness is very important to us at CMU, and there are many resources to help you with it. Please contact me directly if you need assistance or would like to talk about any such issues.

Homework instructions
  • All homework must be typeset, with PDFLaTeX highly encouraged.
  • For LaTeX help, I recommend the book More Math Into LaTeX by Grätzer and also the website TeX Stack Exchange.
  • Homework must be turned in on Gradescope; it will generally be due Tuesdays at 10am.
  • You have six (6) "late days" for use on homework throughout the semester.
  • No more than 3 late days can be used on any one assigment.
  • Any amount of time between 1 minute and 24 hours counts as one late day.
  • You are responsible for knowing how many late days you have left. If you are unsure, you could ask a TA.
  • Except through the use of late days described above, no late homework will be accepted. If you are out of late days and your homework is late, you will get 0 points.
  • You may discuss homework problems with others in the class. However, you should not share any written notes, and of course all your writeups should be done individually.
  • Homework will be graded both for correctness and for clarity of exposition.
Test instructions
  • Same instructions as for the homework, except: no late days may be used, and no collaboration of any sort allowed.
Additional resources

Let me know if your favorite book or set of lecture notes does not appear here!

Textbooks:

Lecture notes:Videos:
15-855: Graduate Computational Complexity Theory, Fall 2017 (2024)
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