User:IssaRice/Subfield of math as study of concepts preserved under transformation

From Machinelearning

See https://terrytao.wordpress.com/2010/01/01/254a-notes-0-a-review-of-probability-theory/ for an articulation of the general idea.

Many of the examples are from Tao's post.

Subfield Abstract object Concrete representation Transformation Examples of concepts (invariant under transformation; doesn't depend on concrete representation) Counterexamples of concepts (depends on concrete representation)
Probability theory Events Subsets of a sample space Extension of the underlying sample space Probability of event, Boolean operations (union, intersection, complement), equality of events Cardinality of event
Differential geometry coordinate change
graph theory relabeling of the vertices
Computability theory Computational model (Turing machine, partial recursive function, lambda calculus, register machine); also encoding Computability
Linear algebra Vector space Coordinate representation with respect to a basis I think there are multiple here. Some ideas like solution set, range, null space are preserved under row operations. Matrix similarity is defined in terms of change of coordinates (so e.g. diagonalizability is preserved under change of coordinates). Then there's orthogonal diagonalization etc.
Arithmetic Number Numeral Different numeral systems Sum, difference, product, quotient Numerator, denominator, leading digit
Game theory Games extensive-form representation, normal representation? Nash equilibrium? other solution concepts?
Decision theory Utility Utility function Affine transformation (with positive slope) Preference ordering Utility value (the specific real number)

there is also the idea of a "funnel result" that you can prove, after which you get to think intuitively. e.g. in computability, you can prove s-m-n theorem and existence of universal function, after which you can forget about your specific encoding of partial recursive functions. also in a way, the church-turing thesis is the statement that such a funnel result exists?

in real analysis, the "funnel result" is the least upper bound property (and the other field axioms); after you get this, it doesn't matter if you started out with Cauchy sequences, dedekind cuts, etc.

see also https://terrytao.wordpress.com/2015/09/29/275a-notes-0-foundations-of-probability-theory/

See also