OK, thanks. I've just added
alias sage="/Applications/SageMath-8.5.app/sage"
to .bash_profile, and everything is working smoothly.
Sorry that this turned out to be not a sage question but a pseudo-Unix
question.
On Sunday, January 20, 2019 at 12:41:55 PM UTC+3, Chris Brav
with error -43.
So somehow it wants to find Sage.app, rather than SageMath-8.5.app.
On Sunday, January 20, 2019 at 12:19:54 PM UTC+3, Dima Pasechnik wrote:
>
> On Sun, Jan 20, 2019 at 9:16 AM Chris Brav > wrote:
> >
> > Thanks! Now it works with macaulay2.
>
Thanks! Now it works with macaulay2.
As for ln, I was following the directions in the install directions. I'll
sort that out separately.
On Sunday, January 20, 2019 at 12:12:32 PM UTC+3, Dima Pasechnik wrote:
>
>
>
> On Sat, 19 Jan 2019 21:08 Chris Brav
> wrote:
>
ill get exactly the same Sage environment in
> Jupyter as you get at Sage's prompt.
>
>
> On Sat, 19 Jan 2019 18:10 Chris Brav
> wrote:
>
>> I like to use a jupyter notebook for sage, but also want to use a bit of
>> macaulay2 at the same, using the sage interface
I like to use a jupyter notebook for sage, but also want to use a bit of
macaulay2 at the same, using the sage interface. In a sage terminal,
macaulay2('2+2')
returns 4 as expected, but in a jupyter notebook I get an error, the end of
which reads
TypeError: unable to start macaulay2 because t
I know how to set the term order in Sage. But this is a somewhat different
issue, and maybe I am not explaining it well. What I mean is that I create a
matrix A over S with respect to a basis e_1,...,e_n in Sage and then pass it to
Singular, where I compute the symmetric power. But when it compu
Given a Sage matrix A over a polynomial ring S.=QQ[] , I can make it into a
Singular matrix via A._singular_(). Call the result AA. I can then do various
operations on AA, for example symmetricPower(AA,d).
In this case, the default order for the basis of the symmetric power seems to
be 'dp', but
Caution to those who want to use this: Singular produces a symmetric power
matrix in a basis that is the reverse of what you (or at least I) might expect.
Which basis Singular chooses is clear if you test it on a diagonal matrix with
variables as entries.
--
You received this message because
Thanks. It seems that indeed some rings, such as ZZ and QQ, are too exotic for
Singular, and that you really have to base change to a polynomial ring over a
field. Here is a little function definition which seems to work for any matrix
defined over a domain:
def sympow(A,d):
R=A.base_ring()
I'd like to be able to compute symmetric powers of matrices in Sage. Singular
has a function for the kth symmetric power of a matrix A, namely
symmetricPower(A,k)
(https://www.singular.uni-kl.de/Manual/4-0-3/sing_1107.htm#SEC1182). So it
seems one should just take a Sage matrix, convert it to a
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