Inverse of diagonal dominant matrices

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SUMMARY

The discussion centers on proving the invertibility of complex matrices that are diagonal dominant, specifically those satisfying the condition that for all indices \(i\), the sum of the absolute values of the off-diagonal elements is less than the absolute value of the diagonal element. The proof demonstrates that if the column vectors are linearly independent, the matrix achieves full rank \(n\) and is therefore invertible. The argument relies on the relationship between the coefficients \(\lambda_1, ..., \lambda_n\) and the diagonal dominance condition, leading to a contradiction if any \(\lambda_i\) is non-zero.

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Homework Statement


Show that ##n\times n ## complex matrices such that ##\forall 1\le i \le n,\quad \sum_{k\neq i} |a_{ik}| < |a_{ii}|##, are invertible

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The Attempt at a Solution



If I show that the column vectors are linearly independent, then the matrix has rank ##n## and is invertible.

Let ##\lambda_1, ..., \lambda_n## be complex coefficients such that ##\sum_{k = 1}^n \lambda_k a_{ik} = 0## for all ##1 \le i \le n##. There must be ##\lambda_i## such that ## |\lambda_j| \le |\lambda_i| ## for all ##j\neq i##. If ##\lambda_i \neq 0##, then ## |a_{ii} | = \frac{1}{|\lambda_i|} | \sum_{k\neq i} \lambda_k a_{ik} | \le \frac{|\lambda_i|}{|\lambda_i|} \sum_{k\neq i} |a_{ik}| < |a_{ii}|##
This is absurd so ##\lambda_i = 0## and all the other lambda's are zero because ##\lambda_i## dominates in module all the other lambda's. So the column vectors are linearly independent.

Is it Ok ?
 
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Yes, your proof is concise and to the point - nothing to add.
 
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