There are other checks that can be performed.
- Symbolic consistency within an expression. For a given latex symbol in an expression, there can be only one numeric ID. This could manifest within one side of an expression or across both sides.
- If there are multiple instances of "a" on the LHS, are they all the same numeric ID?
- Is the symbol "a" used on the LHS the same "a" used on the RHS? For example, in the expression "a + b = a * 2", both "a" symbols must have the same numeric ID.
- Symbolic consistency within a step. A step involving more than one expression must have consistent symbols. For example, given "a + b" and the inference rule "add X to both sides" where the feed is 2, the output is "a + 2 = b + 2". Is the "a" in "a + b" the same as the "a" in "a + 2 = b + 2"? Changes of variable are feasible but must be explicit
- Symbolic consistency within a derivation. A a given latex symbol has multiple numeric IDs in a derivation, is the change documented in an explicit inference rule or do the two cases not intersect? For example, the symbol "c" could appear as both a constant and a variable in the same derivation, but not in the same step.
- Dimensional analysis. Variables can be dimensional. The dimensions must be consistent within an expression. As an example, adding acceleration and velocity is not allowed. See https://docs.sympy.org/latest/modules/physics/units/dimensions.html
- Unit consistency. Constants have a unit and a value. The units must be consistent when applied in an expression As an example, adding "meters per second" and "miles per hour" is not allowed even though both are speeds. See https://docs.sympy.org/latest/modules/physics/units/unitsystem.html and https://docs.sympy.org/latest/modules/physics/units/examples.html#equation-with-quantities
Sympy has some of these features built in; see https://docs.sympy.org/latest/modules/physics/units/quantities.html
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