Inverse transformation matrix entry bounds

atrus_ovis
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I have sets of 2d vectors to be transformed by an augmented matrix A that performs an affine transform.
Matrix A can have values that differ at most |d| from the identity matrix, to limit the transformation, meaning that the min/max bounds for A are I_3 \pm dI_3

The problem is that i'd lke to have bounds for the inverse as well, expressed as a function of d, so that if i know that the transformation matrix is bound by d, that the matrix of the inverse transformation is bound by f(d).
I thought the same bounds would apply, but they don't.
Is there a way to find them?
 
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Well i had the following idea:
make a matrix [ A , eye(3) , MinBound , MaxBound] , and reduce it to row echelon form.
That way the first 3x3 chunk will be eye(3) , the second the inverse of A , the third and fourth the respective min and max bounds for the inverse, hopefully.
 
atrus_ovis said:
Matrix A can have values that differ at most |d| from the identity matrix, to limit the transformation, meaning that the min/max bounds for A are I_3 \pm dI_3

Is d a scalar? Are you saying that A must be a diagonal matrix?
 
Hey atrus_ovis.

Try setting up the augmented system and find the inverse through row-reduction or by using co-factors (Cramers Rule) and you'll get an answer in terms of d.
 
Stephen Tashi said:
Is d a scalar? Are you saying that A must be a diagonal matrix?
It is a scalar.A is not a diagonal,it's an identity matrix, where each value is shifted by at least/most +/- d.

Try setting up the augmented system and find the inverse through row-reduction or by using co-factors (Cramers Rule) and you'll get an answer in terms of d.
Yup,that's what i did.
 
atrus_ovis said:
It is a scalar.A is not a diagonal,it's an identity matrix, where each value is shifted by at least/most +/- d.

The expression I_3 \pm d I_3 only adds or subtracts d to the diagonal elements of the identity matrix I_3.
 
You're right, i meant I_3 \pm \text{repmat(d,3,3)} in matlabese.
 
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