There is a framework to do this with refine, like refine(sqrt((x - y)**2),
Q.positive(x - y)), but not much is implemented yet, so the simplifications
possible are quite limited (in fact, there's not much more than the one
that I just showed that is implemented).

Aaron Meurer

On Mon, Nov 10, 2014 at 3:58 PM, Andrew Spielberg <[email protected]>
wrote:

> Hi all,
>
> When creating variables, I know you can provide certain constraints on the
> domain of that variable.  For instance, one could say that a certain
> variable, x, is positive, real, rational, etc.  These constraints affect
> the way the simplify function behaves.
>
> I am wondering, without creating auxiliary variables, can add other
> constraints?  For example, if I have a variable x that always must be
> greater than another variable y, can I specify:
>
> x > y
>
> in some way, and have the simplifier intelligently know how to handle it?
> I know I could change my representation to be a = (x - y) and do everything
> in terms of my variable a, and set a positive, but this is less than ideal
> and will not work in a lot of my cases.
>
> If there is no way to set these assumptions, is there some other
> recommended way to do intelligent simplification in some way?
>
> -Andy S.
>
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