Left, Right Inverses: Multiple Left Inverses and No Right Inverse?

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A linear transformation or matrix A can have multiple left inverses, such as B1 and B2, but this does not imply that A has a right inverse. If A had a right inverse R, then multiplying the equation B1A = I by R would lead to a contradiction, showing that B1 and B2 must equal R. This indicates that if a matrix has both left and right inverses, it is invertible, and those inverses must be the same. Therefore, the existence of multiple left inverses suggests that A lacks a right inverse. The discussion highlights the relationship between left and right inverses in linear transformations.
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Suppose we have a linear transformation/matrix A, which has multiple left inverses B1, B2, etc., such that, e,g,:

B_1 \cdot A = I

Can we conclude from this (i.e., from the fact that A has multiple left inverses) that A has no right inverse?

If so, why is this?
 
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Suppose there were a right inverse, say, R. Multiplying the equation B_1A= I on the right by R gives (B_1A)R= IR so that B_1(AR)= B_1= R But then doing the same with B_2A leads to B_2= R.

In other words, if a matrix has both right and left inverses, then it is invertible and both right and left inverses are equal to its (unique) inverse.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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