1,119 reputation
1120
bio website
location India
age
visits member for 5 years, 2 months
seen 10 hours ago

Jul
5
awarded  Yearling
May
21
awarded  Notable Question
Apr
17
awarded  Necromancer
Apr
15
awarded  Notable Question
Feb
25
awarded  Nice Question
Jan
1
answered Collection of conjectures and open problems in graph theory
Dec
26
awarded  Popular Question
Sep
28
awarded  Nice Question
Jul
5
awarded  Yearling
Jul
2
awarded  Curious
Apr
27
awarded  Popular Question
Aug
14
comment Can one branch of mathematics be completely learned from the perspective of another branch of mathematics?
The question atleast makes sense in the context of drawing analogies to prove theorems, may be across branches. The following quote may throw some light: "A mathematician is a person who can find analogies between theorems; a better mathematician is one who can see analogies between proofs and the best mathematician can notice analogies between theories. One can imagine that the ultimate mathematician is one who can see analogies between analogies."-Stefan Banach
Jul
31
answered Why is symplectic geometry so important in modern PDE ?
Jul
5
awarded  Yearling
Jun
25
awarded  Promoter
Dec
30
accepted Optimization version of the Sylvester equation
Dec
28
comment The distribution of roots of elliptic polynomial
I think G.B.Folland discusses this in his Introductory book on PDE.
Dec
27
comment Optimization version of the Sylvester equation
@Suvrit Thank you for the answer. Your answer settles the fact that there exists a solution. But, my original interest, which I unfortunately did not make it clear in my post, is to get some quantitative information on the bounds of the solution w.r.t the eigenvalues of $A$ and $B$.
Dec
27
comment Triangularizing a function matrix with smooth eigenvlaues
I have figured out a way to translate the paper. Thank you once again.
Dec
27
comment Optimization version of the Sylvester equation
@Igor Khavkine Yes, my interest is in the case when the matrices have overlapping spectra. I have edited the question to reflect this.