Isogeny Graphs: Eigenvalues and Cryptography

Related lectures (30)

Page 3 of 3

Covers the reduction of a linear transformation in a 2-dimensional space to find a simpler matrix representation.

Explores pseudo randomness in graphs using eigenvalues and polynomials, emphasizing the significance of bunched roots and common interlacers.

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Covers the cup product on cohomology, acyclic models, and the universal coefficient theorem.

Explores consensus with GR nodes in networked control systems, focusing on condensation digraphs and the main result.

Covers the theory and applications of elliptic curves in cryptography and number theory.

Introduces Spectral Graph Theory, exploring eigenvalues and eigenvectors' role in graph properties.

Explores eigenvalues and eigenvectors in matrices through examples and calculations.

Covers Canonical Correlation Analysis, a method to find relationships between two sets of variables.

Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.