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

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

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.

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

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