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Nilanjan Bhowmick AIR 3, CSIR NET (Earth Science)
- IIT JAM
- Physics (PH)
Eigen vector of matrix corresponding to the eigen values (1+ i) and (1 -i) are respectively (where i = v-1) i -1 1 (a) and (b) and (d) and 1 (c) and
Eigen vector of matrix corresponding to the eigen values (1+ i) and (1 -i) are respectively (where i = V-1) i -1 1 (A) and (B) and (D) and 1 (C) and
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Dhairya sharma
|A-λ·I|=0 This equation is called the characteristic equation of A, and is an nth order polynomial in λ with n roots. These roots are called the eigenvalues of A. We will only deal with the case of n distinct roots, though they may be repeated. For each eigenvalue there will be an eigenvector for which the eigenvalue equation is true
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see it it will be helpful
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Dhairya sharma
eigen vectors are satisfied by cally hamilton
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Dhairya sharma
|A-λ·I|=0 This equation is called the characteristic equation of A, and is an nth order polynomial in λ with n roots. These roots are called the eigenvalues of A. We will only deal with the case of n distinct roots, though they may be repeated. For each eigenvalue there will be an eigenvector for which the eigenvalue equation is true
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Dhairya sharma
|A-λ·I|=0 This equation is called the characteristic equation of A, and is an nth order polynomial in λ with n roots. These roots are called the eigenvalues of A. We will only deal with the case of n distinct roots, though they may be repeated. For each eigenvalue there will be an eigenvector for which the eigenvalue equation is true
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Dhairya sharma
where u see arrow these are answers
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Chandra prakash
|A-λ·I|=0 This equation is called the characteristic equation of A, and is an nth order polynomial in λ with n roots. These roots are called the eigenvalues of A. We will only deal with the case of n distinct roots, though they may be repeated. For each eigenvalue there will be an eigenvector for which the eigenvalue equation is true