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Eigen vectors of linear equation defined by cross product
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Purple
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Linear Algebra
Jan 31, 2016
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Jun 23, 2017
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Arjun
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eigen values
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linear-algebra
eigen-value
engineering-mathematics
Purple
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Arjun
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$If \ A = \begin{pmatrix} 1&1 \\ 1&0 \end{pmatrix},\ \alpha M_1+\beta M_2+\gamma M_3,\ where \ M_1 = L_{2x2},\ M_2 = \begin{pmatrix} 0&1 \\ 1&1 \end{pmatrix}\ and \ M_3 = \begin{pmatrix} 1&1 \\ 1&1 \end{pmatrix} \ then \ -$ ... $\alpha = 1,\ \beta = -1,\ \gamma = 2$ D. $\alpha = -1,\ \beta = 1,\ \gamma = 2$
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different independent eigen vectors
In A = (aij)nxn where aij = 1 ∀ i,j then number of different independent Eigen Vectors of A are _________ . (a) 1 (b) n-1 (c) 2 (d) n
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