Finding Pseudoinverse (Moore-Penrose) through the One-Sided Inverses

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SUMMARY

The discussion focuses on calculating the unique Moore-Penrose Pseudoinverse of a matrix using its one-sided inverses. The matrix in question is $$B = \begin{bmatrix} 1 & 0 & 2 \\ 0 & 1 & 1 \end{bmatrix}$$, with the right inverse derived as $$B^{-1}_{R} = \begin{bmatrix} 1-2c_{1} & -2c_{2} \\ -c_{1} & 1-c_{2} \\ c_{1} & c_{2} \end{bmatrix}$$. The user successfully computed the pseudoinverse using MATLAB, finding that for $$c_{1} = \frac{1}{3}$$ and $$c_{2} = \frac{1}{6}$$, the result matches the Moore-Penrose Pseudoinverse. The discussion seeks alternative methods to derive these coefficients without relying on MATLAB.

PREREQUISITES
  • Understanding of matrix theory, specifically one-sided inverses
  • Familiarity with the Moore-Penrose Pseudoinverse
  • Basic knowledge of MATLAB for matrix computations
  • Ability to interpret matrix equations and manipulations
NEXT STEPS
  • Research the properties and applications of the Moore-Penrose Pseudoinverse
  • Learn about alternative methods for calculating the Moore-Penrose Pseudoinverse without software tools
  • Explore the derivation of right-sided inverses in matrix algebra
  • Investigate the implications of one-sided inverses in linear transformations
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Mathematicians, data scientists, and engineers involved in linear algebra, particularly those working with matrix computations and pseudoinverses.

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Homework Statement



I want to calculate the (unique) Moore-Penrose Pseudoinverse by knowing the one-sided inverses of a matrix

Homework Equations



Consider a matrix such as $$B = \begin{bmatrix}
1 & 0 & 2 \\
0 & 1 & 1
\end{bmatrix}$$ I know how to compute the right inverses (or in the case of ##m\geq n## the left inverses) and have done so; I've obtained the result $$B^{-1}_{R} = \begin{bmatrix}
1-2c_{1} & -2c_{2} \\
-c_{1} & 1-c_{2} \\
c_{1} & c_{2}
\end{bmatrix}$$.

The Attempt at a Solution



However, I now want to calculate the (unique) Moore-Penrose Pseudoinverse, preferably using this right-sided inverse. Clearly, it would have to be one of the right-sided inverses. Using MATLAB I've found that the Moore-Penrose Pseudo inverse equals ##B_{R}^{-1}## for ##c_{1} = \frac{1}{3}, c_{2} = \frac{1}{6}##. Is there a way I could easily get those correct values of ##c_{1}## and $$c_{2}## (by that I mean without using a tool such as Matlab), as in, find those corresponding to the Moore-Penrose Pseudoinverse?
 
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