I'm looking for a good introduction to #git basic usage for a physicists coding in python.
There won't be much collaboration with others on the same code for now.
#lazyweb #homeomorphic #endofunctor
- #Cantor space is #homeomorphic to any finite #Cartesian power of itself, and #Baire space is homeomorphic to any finite Cartesian power of itself, the analytical hierarchy applies equally well to finite Cartesian power of one of these spaces.
sum of the defect at all the vertices of a polyhedron which is #homeomorphic to the sphere is 4π.
sum of the defect at all the vertices of a polyhedron which is #homeomorphic to the sphere is 4π.

{ A=L^{1}R}*, group algebra A of { {R} }, then { \Phi _{A}} 1 is #homeomorphic H to R #Gelfand transform T of f\in L^1is Fourier T f'

* _{+})} ¢ L^1-conv(A) of R half-line, then 1 is H to {\{z\in {C} ~\colon ~\op Re(z > 0\}}, and Gof an element { f\in ¢ is #Laplace T(L(f))

{ A=L^{1}R}*, group algebra A of { {R} }, then { \Phi _{A}} 1 is #homeomorphic H to R #Gelfand transform T of f\in L^1is Fourier T f'

* _{+})} ¢ L^1-conv(A) of R half-line, then 1 is H to {\{z\in {C} ~\colon ~\op Re(z > 0\}}, and Gof an element { f\in ¢ is #Laplace T(L(f))

set of finite trees over a well-quasi-ordered set of labels is itself well-quasi-ordered under #homeomorphic embedding.
set of finite trees over a well-quasi-ordered set of labels is itself well-quasi-ordered under #homeomorphic embedding.