15-855: Graduate Computational Complexity Theory, Fall 2017


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.

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

Homework assignments

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".

Your final grade will be determined from your final point total out of 380.


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Homework instructions

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