Proving Invertibility of Matrices: A Small Difference Makes a Big Impact

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In summary, the conversation discusses the definition of v(C) for an n*n matrix C over R or C. It is defined as the maximum absolute value of cij. The conversation then moves on to discussing two parts, a and b. In part a, it is shown that if matrix A is invertible, then B is also invertible if v(A-B) is sufficiently small. In part b, it is stated that for any n*n matrix A, there is a sequence Ak of invertible matrices where v(A-Ak) approaches 0. The conversation also mentions a potential result involving det(XY) and det(Y) if v(X) is less than e. Finally, there is a question about whether v defines a
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For an n*n matrix C=(cij) over R or C, we define v(C)=Max|cij|

a.Show that if A is invertible, then B is invertible if v(A-B) is sufficiently small.

b. Show that for any, not necessarily invertible, n*n matix A, there is a sequence Ak of invertible matrices with v(A - Ak) -> 0 .
 
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  • #2
If v(X)<e, it appears that a result along the lines of det(XY) < e^n * det(Y) is true. If so, you can use this for part a.

part b looks a little harder.

does this v define a (metric) topology on the nxn matrices?
 
  • #3
thanks for the hint on part a, the v in part b is the same as in part a
 

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