Now that you see how deep things are, go back and focus on the details.

Life is very non-linear, but arguments should not be circular.

Philosophy: construct spaces and do algebra, analysis, geometry, and whatever we can do!

  • the idea is to create meaning, objects out of nothing…, even in familiar spaces and then going to unfamiliar ones!
  • reminder: nothing (even rigor) is more scary than doing wrong stuff!

We start with logic and set theory, do analysis, algebra, geometry and topology: there is no actual distinction between their build-up, only in their vibes.

  • build the grounds
    • logic: propositional
    • logic: first order
    • first order set theory
  • build structures on sets (or beyond) and work inside
    • inside
    • out on groups
    • out on metric spaces
    • inside
    • out on vector spaces
      • out on normed -vector spaces, inner product spaces
    • surfaces inside , in submanifolds of
    • out on rings and fields
    • out on modules
    • in graphs
    • out on categories
    • out on topological spaces
    • out on measure spaces
    • out on smooth manifolds
      • smooth manifolds with more structures
    • out on infinite dim spaces
  • what do we do now? everything here have a tiny different vibes
    • analysis
      • ODEs
      • PDEs
    • geometry
    • dynamics
    • mechanics
    • algebra
      • finite groups
      • representations
      • Lie algebras
    • topology and algebraic topology
    • algebraic geometry
    • number theory

Inside reals and metric spaces

  • #book Tao Analysis vol I, II - this is the best reference for any beginner!
  • #book Apostol - Mathematical Analysis
  • #book Rudin Analysis (Baby Rudin)
  • Analysis in

    • Construct(!!) from
    • Sequences, limits of sequences
  • Metric spaces with the intuition of

    • Sequences and series
    • limits of functions, continuous functions
    • get motivated for topological spaces: prove the theorem that a function is continuous if and only if preimage of open sets is open

Inside finite dim vector spaces spaces

We do more inside and venture slightly out to do analysis in finite-dim real normed vector spaces, which are ofcourse diffeomorphic to .

  • In normed vector spaces

  • Differential geometry of submanifolds of

    • #lecturenotes diffgeo.pdf (ethz.ch) One can distinguish extrinsic differential geometry and intrinsic differential geometry. The former restricts attention to submanifolds of Euclidean space while the latter studies manifolds equipped with a Riemannian metric. The extrinsic theory is more accessible because we can visualize curves and surfaces in , but some topics can best be handled with the intrinsic theory…
    • better thing to do is directly jump to smooth manifolds altogether.

Living completely outside

Going outside of for analysis: there are two routes

  • analysis on (finite dim) manifolds (classical mechanics, ODEs, Hamiltonian systems, oscillations)
  • analysis in function spaces(infinite dim complete normed/inner product spaces) (quantum mechanics, PDEs, waves)

Analysis in normed vector spaces was just the begining.

Measure spaces (measure theory)

I’ve no idea yet!

Topological spaces

AKA the fields of topology, algebraic topology

First semester course on Topology (AKA general topology/point set topology) - as opposed to cute topology, we prove more content here

First semester course on Algebraic topology - study of holes in topological spaces

We learn homotopy groups, homology groups and at last cohomology groups!

Out on smooth manifolds

AKA “intrinsic differential geometry” or analysis on manifolds.

May try#lectures Frederic Schuller -International Winter School on Gravity and Light 2015 without any other context or to get into it fully: inculcation-smooth-manifolds.

Inside infinite dim spaces

AKA functional analysis!

Of course, I’ve no idea about this, yet.

  • #lectures Frederic Schuller - Quantum Theory