Here we introduce the notion of "logarithmic space", which is understanding what problems can be solved with a "very small" amount of space. We define what a Turing Machine needs to do in order to achieve that, as well as give some example problems that are in deterministic log space, and nondeterministic log space.

What is space in complexity theory? It is the maximum amount of cells used on a Turing Machine that runs on inputs of size n. See    • What is Space? (for complexity theory...   for more details.

Timeline:
0:00 - Intro
2:30 - Model for Small Space
7:30 - Definition of Log Space and Nondet Log Space
8:30 - All regular languages are in L
15:05 - {0^n 1^n} is in L
18:25 - PATH vs DPATH, DPATH in NL

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