scholarly journals Towards finite generation of higher rational rank valuations

2021 ◽  
Vol 212 (3) ◽  
Author(s):  
Chenyang Xu
2015 ◽  
Vol 58 (4) ◽  
pp. 787-798 ◽  
Author(s):  
Yu Kitabeppu ◽  
Sajjad Lakzian

AbstractIn this paper, we generalize the finite generation result of Sormani to non-branching RCD(0, N) geodesic spaces (and in particular, Alexandrov spaces) with full supportmeasures. This is a special case of the Milnor’s Conjecture for complete non-compact RCD(0, N) spaces. One of the key tools we use is the Abresch–Gromoll type excess estimates for non-smooth spaces obtained by Gigli–Mosconi.


2000 ◽  
Vol 140 (1) ◽  
pp. 143-170 ◽  
Author(s):  
Luchezar L. Avramov ◽  
Srikanth Iyengar

2019 ◽  
Vol 35 ◽  
pp. 285-296
Author(s):  
Elena Rubei

An interval matrix is a matrix whose entries are intervals in $\R$. This concept, which has been broadly studied, is generalized to other fields. Precisely, a rational interval matrix is defined to be a matrix whose entries are intervals in $\Q$. It is proved that a (real) interval $p \times q$ matrix with the endpoints of all its entries in $\Q$ contains a rank-one matrix if and only if it contains a rational rank-one matrix, and contains a matrix with rank smaller than $\min\{p,q\}$ if and only if it contains a rational matrix with rank smaller than $\min\{p,q\}$; from these results and from the analogous criterions for (real) inerval matrices, a criterion to see when a rational interval matrix contains a rank-one matrix and a criterion to see when it is full-rank, that is, all the matrices it contains are full-rank, are deduced immediately. Moreover, given a field $K$ and a matrix $\al$ whose entries are subsets of $K$, a criterion to find the maximal rank of a matrix contained in $\al$ is described.


2015 ◽  
Vol 181 (1) ◽  
pp. 35-62 ◽  
Author(s):  
Erhard Aichinger ◽  
Marijana Lazić ◽  
Nebojša Mudrinski

2014 ◽  
Vol 8 (7) ◽  
pp. 1647-1657 ◽  
Author(s):  
Van Nguyen ◽  
Sarah Witherspoon

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