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Linear Algebra

Solve the system of equations: 7x+5y=127x + 5y = -12 and 3x4y=13x - 4y = 1 using any method such as graphing, elimination, and substitution.

Graph the two parallel lines representing the linear equations and determine if the system has no solution.

Using Gauss-Jordan elimination, solve the system of linear equations given by the augmented matrix: [1138112131410]\begin{bmatrix} 1 & -1 & 3 & | & 8 \\ 1 & 1 & 2 & | & 1 \\ 3 & 1 & 4 & | & 10 \end{bmatrix}

Given the vector v=(2,3)v = (2, 3) in the standard basis, find the new coordinates vv' in the basis defined by u1=(1,2)u_1 = (1, 2) and u2=(3,3)u_2 = (3, 3).

Consider the bases for R2\mathbb{R}^2: B={[1,1],[0,2]}B = \{ [1, 1], [0, 2] \} and C={[0,1],[1,2]}C = \{ [0, 1], [1, 2] \}. If the coordinate vector for xx with respect to BB is [3,1][3, 1], find the coordinate vector for xx with respect to CC.

Determine if the set of vectors (1,2,0)(1, -2, 0), (4,0,8)(4, 0, 8), (3,1,5)(3, -1, 5) is linearly independent or dependent by performing row reduction.

Solve the following system of equations using Cramer's Rule: x1+4x2+3x3=2-x_1 + 4x_2 + 3x_3 = 2, 2x2+2x3=12x_2 + 2x_3 = 1, x13x2+5x3=0x_1 - 3x_2 + 5x_3 = 0.

Using matrices and Cramer's Rule, solve for the values of xx, yy, and zz given the system of equations: 3x+3y+5z=13x + 3y + 5z = 1, 5x+9y+17z=05x + 9y + 17z = 0, 3x+9y+5z=03x + 9y + 5z = 0.

Determine if a given matrix is diagonalizable and, if so, diagonalize it.

Raise the matrix A=[1124]A = \begin{bmatrix} 1 & -1 \\ 2 & 4 \end{bmatrix} to the 100th power using diagonalization.

Diagonalize the matrix A where A is given as [200121101]\begin{bmatrix} 2 & 0 & 0 \\ 1 & 2 & 1 \\ -1 & 0 & 1 \end{bmatrix}.

Consider the matrix AA, with entries 3,4;5,6-3, -4; 5, 6. We must first find the eigenvalues, which means we must solve for the values of λ\lambda that satisfy this expression, where the determinant of AλI=0A - \lambda I = 0.

For a given matrix AA, find the eigenvalues λ\lambda and corresponding eigenvectors XX such that AX=λXA X = \lambda X.

Find the eigenvalues and eigenvectors of the given matrix.

Determine if the given matrix is an Elementary matrix by checking if it can be obtained from the identity matrix using a single Elementary row operation.

Determine if the given set of four matrices, with specific ones and zeros, span R2x2R^{2x2} and form a basis.

[1100]\begin{bmatrix}1 & 1 \\0 & 0\end{bmatrix} [0011]\begin{bmatrix}0 & 0 \\1 & 1\end{bmatrix} [1001]\begin{bmatrix}1 & 0 \\0 & 1\end{bmatrix} [0111]\begin{bmatrix}0 & 1 \\1 & 1\end{bmatrix}

Check comprehension related to vector spaces, subspaces, span, linear independence, basis, and dimension.

Assume we have five websites numbered 1, 2, 3, 4, and 5. Determine which website will have more traffic using the PageRank algorithm. Construct the Google Matrix for these websites and analyze it to find the relative importance or ranking of each website based on their traffic. Use eigenvalues and eigenvectors for the analysis.

Using a 2x2 matrix, identify eigenvectors and eigenvalues. Explain the transformation effects on vectors when multiplied with this matrix, including stretching, shrinking, and rotation dynamics. Consider cases with real and non-real eigenvalues and describe their implications for vector transformations.