Daffodil International University
Educational => Mathematics => Basic Maths => Topic started by: msu_math on November 14, 2012, 01:05:54 PM
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Let A be a non-singular matrix. Then a square matrix B is said to the inverse of A if and only if A x B = I and we write B = A-1. When B = A-1 then obviously A = B-1. In that case both the matrices are called invertible matrices.
A square matrix that is not invertible is called singular or degenerate. A square matrix is singular if and only if its determinant is 0. Singular matrices are rare in the sense that if you pick a random square matrix over a continuous uniform distribution on its entries, it will almost surely not be singular.
There are two methods for calculating inverse matrix:
1. Co-factor Method: http://oase.daffodilvarsity.edu.bd/MatInv_input.php (http://oase.daffodilvarsity.edu.bd/MatInv_input.php)
2. Row Reduction Method: http://oase.daffodilvarsity.edu.bd/MatInvReduc_input.php (http://oase.daffodilvarsity.edu.bd/MatInvReduc_input.php)
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Application of Matrix Inverse: Matrix inversion also play a significant role in the MIMO (Multiple-Input, Multiple-Output) technology in wireless communications. The MIMO system consists of N transmit and M receive antennas. Unique signals, occupying the same frequency band, are sent via N transmit antennas and are received via M receive antennas. The signal arriving at each receive antenna will be a linear combination of the N transmitted signals forming a NxM transmission matrix H. It is crucial for the matrix H to be invertible for the receiver to be able to figure out the transmitted information.
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;D
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Co-factor Method is more easier.