You must study the Linear congruence theorem and the extended GCD algorithm, which belong to Number Theory, in order to understand the maths behind modulo arithmetic.
The inverse of matrix K for example is (1/det(K)) * adjoint(K), where det(K) <> 0.
I assume that you don't understand how to calculate the 1/det(K) in modulo arithmetic and here is where linear congruences and GCD come to play.
Your K has det(K) = -121. Lets say that the modulo m is 26. We want x*(-121) = 1 (mod 26).
[ a = b (mod m) means that a-b = N*m]
We can easily find that for x=3 the above congruence is true because 26 divides (3*(-121) -1) exactly. Of course, the correct way is to use GCD in reverse to calculate the x, but I don't have time for explaining how do it. Check the extented GCD algorithm :)
Now, inv(K) = 3*([3 -8], [-17 5]) (mod 26) = ([9 -24], [-51 15]) (mod 26) = ([9 2], [1 15]).
The fact that the matrix does not have an inverse does not necessarily mean that none of the variables can be found.
You can factorize the matrix using LU or LDLT factorization algorithm. inverse of a diagonal matrix (D) is really simple. To find the inverse of L, which is a lower triangular matrix, you can find the answer in this link.www.mcs.csueastbay.edu/~malek/TeX/Triangle.pdfSince (A T )-1 = (A-1 )T for all matrix, you'll just have to find inverse of L and D.
To find the inverse of a matrix using the Casio fx-991MS, first, ensure your calculator is in matrix mode by pressing the MODE button and selecting matrix. Then, input your matrix by pressing SHIFT followed by MATRIX, selecting a matrix (e.g., A), and entering the dimensions and elements. After the matrix is entered, access the matrix menu again, select your matrix, and press the SHIFT button followed by the x^-1 key to compute the inverse. The calculator will display the inverse matrix if it exists.
When finding the inverse of a matrix, order doesn't matter because the operation of taking the inverse is inherently defined for square matrices. Specifically, if ( A ) is an invertible matrix, then its inverse ( A^{-1} ) satisfies the property ( A A^{-1} = I ) and ( A^{-1} A = I ), where ( I ) is the identity matrix. This means that multiplying ( A ) by its inverse will always yield the identity matrix, regardless of the order in which the matrices are multiplied. However, note that the order does matter when multiplying different matrices together; it's only the specific case of a matrix and its inverse that ensures commutativity in this regard.
To find the inverse of a matrix, you basically append (not add) the identity to the matrix, then solve it so that the identity is on the left side. The contents of the right side of your matrix will be the inverse. For instance:[A] = [ [1 0] [2 1] ] (original matrix)[A] = [ [1 0] [2 1] | [1 0] [0 1] ] (appending the identity of a 2x2 matrix)(the bolded line is an imaginary divider)Next, you try to solve it so that the identity is shifted to the left side. The matrix's inverse will be the contents of the right.[A] = [ [1 0] [0 1] | [1 0] [2 -1] ][A]-1 = [ [1 0] [2 -1] ]
it is used to find the inverse of the matrix. inverse(A)= (adj A)/ mod det A
The fact that the matrix does not have an inverse does not necessarily mean that none of the variables can be found.
You can factorize the matrix using LU or LDLT factorization algorithm. inverse of a diagonal matrix (D) is really simple. To find the inverse of L, which is a lower triangular matrix, you can find the answer in this link.www.mcs.csueastbay.edu/~malek/TeX/Triangle.pdfSince (A T )-1 = (A-1 )T for all matrix, you'll just have to find inverse of L and D.
You can factorize the matrix using LU or LDLT factorization algorithm. inverse of a diagonal matrix (D) is really simple. To find the inverse of L, which is a lower triangular matrix, you can find the answer in this link.www.mcs.csueastbay.edu/~malek/TeX/Triangle.pdfSince (A T )-1 = (A-1 )T for all matrix, you'll just have to find inverse of L and D.
You can factorize the matrix using LU or LDLT factorization algorithm. inverse of a diagonal matrix (D) is really simple. To find the inverse of L, which is a lower triangular matrix, you can find the answer in this link.www.mcs.csueastbay.edu/~malek/TeX/Triangle.pdfSince (A T )-1 = (A-1 )T for all matrix, you'll just have to find inverse of L and D.
A non-square matrix cannot be inverted.
To find the original matrix of an inverted matrix, simply invert it again. Consider A^-1^-1 = A^1 = A
To find the inverse of a matrix on a Casio fx-991MS scientific calculator, you first need to input the matrix you want to find the inverse of. Then, press the "SHIFT" button followed by the "MODE" button to access the matrix mode. Select the matrix you want to invert by pressing the corresponding number key. Next, press the "SHIFT" button followed by the "MATRIX" button, and then press the "x^-1" button to calculate the inverse of the matrix.
To find the inverse of a matrix using the Casio fx-991MS calculator, first, enter the matrix mode by pressing the "MODE" button until you reach the matrix option. Then, input the dimensions of the matrix (e.g., 2 for a 2x2 matrix). After entering the matrix elements, press the "SHIFT" button followed by the "MATRIX" key (which is also labeled with an inverse symbol). Finally, select the matrix you want to invert, and the calculator will display the inverse matrix.
To find the inverse of a matrix using the Casio fx-991MS, first, ensure your calculator is in matrix mode by pressing the MODE button and selecting matrix. Then, input your matrix by pressing SHIFT followed by MATRIX, selecting a matrix (e.g., A), and entering the dimensions and elements. After the matrix is entered, access the matrix menu again, select your matrix, and press the SHIFT button followed by the x^-1 key to compute the inverse. The calculator will display the inverse matrix if it exists.
A matrix A is orthogonal if itstranspose is equal to it inverse. So AT is the transpose of A and A-1 is the inverse. We have AT=A-1 So we have : AAT= I, the identity matrix Since it is MUCH easier to find a transpose than an inverse, these matrices are easy to compute with. Furthermore, rotation matrices are orthogonal. The inverse of an orthogonal matrix is also orthogonal which can be easily proved directly from the definition.
When finding the inverse of a matrix, order doesn't matter because the operation of taking the inverse is inherently defined for square matrices. Specifically, if ( A ) is an invertible matrix, then its inverse ( A^{-1} ) satisfies the property ( A A^{-1} = I ) and ( A^{-1} A = I ), where ( I ) is the identity matrix. This means that multiplying ( A ) by its inverse will always yield the identity matrix, regardless of the order in which the matrices are multiplied. However, note that the order does matter when multiplying different matrices together; it's only the specific case of a matrix and its inverse that ensures commutativity in this regard.