On Tuesday, 3 July 2012 11:26:54 UTC+8, Dima Pasechnik wrote:
>
>
>
> On Tuesday, 3 July 2012 10:36:37 UTC+8, Dima Pasechnik wrote:
>>
>>
>>
>> On Tuesday, 3 July 2012 09:56:04 UTC+8, Charles Bouillaguet wrote:
>>>
>>> > Mhh, why not? If A = LUP we just write AP^-1  = LU, hence for each LU 
>>> we 
>>> > construct there are as many As as there are permutation matrices, or 
>>> am I 
>>> > missing something (again :))? 
>>>
>>> I am not sure that the LUP decomposition is unique (I understand that 
>>> the LU is). 
>>
>>
>> An invertible matrix need not have an LU decomposition. E.g. 
>> A=[[0,1],[1,1]] does not have it.
>>
>> It's evident over F_2: L can only take 2 values, and U can only take 2 
>> values, so you can't have
>> more than 4 different matrices of the form LU :–) 
>>
>
> by the way, for generating random elements it might be better to use the 
> Bruhat decomposition, which is unique. See
> http://en.wikipedia.org/wiki/Bruhat_decomposition
>
>
I take the last part back, sorry, it makes little sense. 
What certainly is doable is the following:
1) uniformly select a random maximal flag
2) uniformly select a random element U in the subgroup stabilizing the 
"canonical" maximal flag, i.e. the one stabilized by the 
upper triangular matrices.
Then an element MU, for M being a matrix mapping the "canonical" flag to 
the flag selected at step 1, will be uniformly
distributed over the whole group G (as step 1 selects a coset of U in G).



>>  
>>
>>> If A has more distinct LUP factorizations than B, then A 
>>> is more likely to be produced by this process than B.... 
>>>
>>> Charles 
>>>
>>

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