Steve4Physics said:
##\vec T+ \vec {F_{MR}}## = 0
which gives
##\vec T = -\vec {F_{MR}}##
Less rigorously we could write this as:
##T = -F_{MR}##
I agree with first two equations, but the one following "less rigorously" can be confusing to a novice. That's because a symbol with an arrow over it denotes a vector whilst the same symbol
without the arrow denotes the
magnitude of the vector. In one dimension, the "less rigorous" approach that you show confuses the magnitude of the vector, which is always positive, with the component of the vector which could be positive or negative. All this can easily be sorted out by using, rigorously, unit vectors and subscripts for components, both which are routinely dropped in the less rigorous approach.
Starting with
##\vec T+ \vec {F}_{MR}=0##, we rewrite the one-dimensional vectors in terms of their
components as
##T_y~\hat y+ F_{MR,y}~\hat y=0##
Here is where we drop the unit vectors and write
##T_y+ F_{MR,y}=0~\implies~T_y=-F_{MR,y}##
which shows that when two one-dimensional vectors add to zero, their components have the same magnitude and opposite signs.
The interpretation of vectors in FBDs is that the label of the arrow denotes the magnitude while the direction of the arrow denotes the direction of the vector. So if we have the FBD of this, we would see two vectors labeled ##T## and ##F_{MR}## pointing in opposite directions.
Starting again with
##\vec T+ \vec {F}_{MR}=0##, we rewrite the one-dimensional vectors in terms of their
magnitudes as
##\vec T=T~(+\hat y)~;~~ \vec {F}_{MR}=F_{MR}~(-\hat y)##
Then
##T~(+\hat y)+F_{MR}~(-\hat y)=0##
##T~(+\hat y)=-F_{MR}~(-\hat y)=F_{MR}(+\hat y)##
Again we drop the unit vectors and write
##T=F_{MR}##
which shows that when two vectors point in opposite directions and add to zero, they have the same magnitude.
In short, when we write an equation relating two or more one-dimensional vectors, we have to be clear whether the equation relates components or magnitudes.