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| Covered in Lecture 1 | In the first lecture we saw some applications to inclusion matrices
- Lindstrom's theorem
- Even town, Odd town
- Fisher Inequality
- Nagy's construction of a Ramsey Graph
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| Covered in Lecture 2 | At the second lecture we met the role of eigenvalues in the study of graphs.
- Hoffman-Singleton theorem (If a regular graph of degree d and girth 5 has 1+d^2 vertices then d is 2,3,7 or 57).
- Introduction to expanders.
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| Covered in Lecture 3 | | At the third lecture we saw three inequalities regarding Expanders. We also started to look at a construction of error correcting codes based on Expanders, due to Sipser and Spielman. |
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| Covered in Lecture 4 | | At the fourth lecture we proved the result of Sipser and Spielman, and briefly mentioned other results on expander graphs. |
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| Covered in Lecture 5 | The Polynomial Method has been introduced. We saw
Graham-Pollack theorem
Points with only 2 distances
Frankl-Wilson Theorem
Ramsey Graph from F-W Theorem
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| Covered in Lecture 6 | | In the sixth lecture we've disproved Borsuk's Conjecture and started to talk on Combinatorial Nullstellenatz |
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| Covered in Lecture 7 | After a reminder on Combinatorial Nullstellensatz, we've witnessed some applications:
- Cauchy-Davenport theorem
- Chevalley-Warning theorem
- The Permanent lemma
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| Covered in Lecture 8 | | We turn to see some uses of polynomials for lower bounds on circuits.
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| Covered in Lecture 9 | - We saw the use of partial derivatives for proving the following result: any boolean function is of low degree over only at most one prime field.
- Morgenstern's lower bound for computing DFT with bounded coefficients. |
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| Covered in Lecture 10 | In the tenth lecture we sae
- The use of partial derivatives as a complexity measure.
- Polynomial identity testing. |
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| Covered in Lecture 11 | | We saw application of the algebraic method to geometry. Specially, we looked at the moment curve. |
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