I agree that we should avoid arguments unrelated to the question at hand.

For the part of this proposal that I think I understand (avoiding 
evaluation/simplification unless requested), does this imply you want the 
user to deal with collapsing expressions to avoid them becoming too large?

Jonathan

On Saturday, December 31, 2022 at 8:05:11 AM UTC-6 syle...@gmail.com wrote:

> > I, like you, am not a mathematician by training. Your training is in 
> engineering mine is in physics/chemistry. I do not claim to be cognizant of 
> all details necessary to generate completely general representations of 
> many mathematical operations.
>
> If I have to apologize, I should be. 
> I would not want to see this thread contaminated by arguments by 
> university major, job experience, ... 
> and which makes the conversation toxic and look like a fallacy overall.
>
> On Thursday, December 29, 2022 at 2:34:54 AM UTC+2 S.Y. Lee wrote:
>
>> And at least the term-algebraic definition of computing total derivative, 
>> is not evaluating dy/dx -> 0. In that sense, 
>> if the chain rule is implemented faithfully, dy/dx itself becomes normal 
>> form, such that no further computation is done for it. 
>> And the triple product rule for derivative is implemented as something 
>> like viewing derivative as fraction, which may not be very mathematically 
>> sound reasoning, 
>> but for practices in term rewriting, we try to detach the semantics and 
>> try to solve problems only by syntax, which also gives a plausible 
>> reasoning how to combine problem solving skills, and even more abstract or 
>> deeper view of it.
>>
>> On Thursday, December 29, 2022 at 2:23:07 AM UTC+2 S.Y. Lee wrote:
>>
>>> I think that software engineers should be satisfied for solving 'easy' 
>>> and 'decidable' problems for derivative, like formal deriviative 
>>> <https://en.wikipedia.org/wiki/Formal_derivative>, 
>>> which is sometimes a sound reasoning for the actual physical/analytical 
>>> derivative, however, not always.
>>> and even if you attempt to relate more physical implementation just by 
>>> 'software engineering', 
>>> I'd only warn that it would not be merely more than some 'heuristics', 
>>> and such 'heuristics' are just going to define less uniform and awkward 
>>> formal 
>>> grammar <https://en.wikipedia.org/wiki/Formal_grammar> about the inputs 
>>> the software it accepts, 
>>> rather than making it more deeply connected with the physics.
>>>
>>> Similar as how you'd usually perceive that numeric analysis need 
>>> hypothesis about approximating the physical world problem by numeric errors,
>>> I also believe that any symbolic computation need hypothesis that it 
>>> just approximates the the physical/business world problem as syntactical 
>>> way.
>>> And to develop the useful and stable library, the only thing to concern 
>>> is that we get at least the syntactical part correctly.
>>>
>>> On Thursday, December 29, 2022 at 12:13:19 AM UTC+2 gu...@uwosh.edu 
>>> wrote:
>>>
>>>> S.Y.,
>>>>
>>>> The only part of what you are proposing that I believe I understand is 
>>>> that you suggest sympy should avoid automatic 
>>>> evaluation/simplification/collapse of expressions. The specific example I 
>>>> can think of where this would often be useful is with differentiation (the 
>>>> default behavior of Derivative() does this, but not the convenience 
>>>> implementation diff()). I have certainly had to be careful while trying to 
>>>> define a partial derivative operation that works the way we usually use it 
>>>> in the physical sciences (for thermodynamics in particular). Can you 
>>>> illustrate how your proposal would provide a clean and mathematically 
>>>> sound 
>>>> way of defining things such as a total differential (e.g. df = (df/dx)_y 
>>>> dx 
>>>> + (df/dy)_x dy) and the derivative relationships they imply? Would this 
>>>> ease the handling of the circularity of functional dependence implied by 
>>>> the Euler circular chain rule used to figure out what combinations of 
>>>> measurable quantities (partial derivatives) will provide values for 
>>>> partial 
>>>> derivatives that cannot be measured directly?
>>>>
>>>> I appreciate your interest in helping to improve the open source 
>>>> mathematical offerings. Can you provide a baby implementation that does 
>>>> not 
>>>> impinge on the intellectual property of your employer (Qanda) for us to 
>>>> consider?
>>>>
>>>> A word to the wise: I know you are not a native English speaker. 
>>>> However, I think you need to be more careful about broad statements such 
>>>> as 
>>>> the one below.
>>>>
>>>> On Wednesday, December 28, 2022 at 1:35:17 PM UTC-6 syle...@gmail.com 
>>>> wrote:
>>>>
>>>>>
>>>>> I believe that my prompt can already address and solve the problem 
>>>>> below, and beyond the fact that the calculus is merely Turing-complete 
>>>>> (such that we can develop a library to be closed against anti-pattern 
>>>>> <https://en.wikipedia.org/wiki/Anti-pattern> practices by developers 
>>>>> for stability), 
>>>>> it also provides pretty much well-studied and uniform representation 
>>>>> for the application, without introducing some deviated object by some 
>>>>> nerds 
>>>>> and having poorly defined calculus over it.
>>>>>
>>>>> - Abstract algebra <https://github.com/sympy/sympy/pull/19750>
>>>>> - Decimal object <https://github.com/sympy/sympy/issues/17648>
>>>>> - Algebra with SymPy <https://github.com/gutow/Algebra_with_Sympy>
>>>>> - ...
>>>>>
>>>>
>>>>  I, like you, am not a mathematician by training. Your training is in 
>>>> engineering mine is in physics/chemistry. I do not claim to be cognizant 
>>>> of 
>>>> all details necessary to generate completely general representations of 
>>>> many mathematical operations. Thus, I am always happy to get issues with 
>>>> my 
>>>> understanding corrected. However, I have been working with and teaching 
>>>> about the multidimensional partial differential equations of quantum 
>>>> mechanics and thermodynamics for longer than you've been alive. They are 
>>>> very specific applications of calculus over a well specified domain. 
>>>> Please 
>>>> do not belittle things that allow physical scientists such as myself to 
>>>> work effectively in that domain. I suggest in the future you provide 
>>>> specific examples of where these tools do not work and then we can address 
>>>> those specific issues. It may be that a more general implementation that 
>>>> can then be used to easily provide the same behavior is possible, but we 
>>>> need specific examples.
>>>>
>>>> Regards,
>>>> Jonathan
>>>>
>>>

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