Verify that 1, is an eigenvalue of A and that x, is a corresponding eigenvector. [: 11 = 4, x1 = (1, 0) 12 = -4, x2 = (0, 1) 4 A = %D -4 4 1 Ax1 = 4 -4 4 Ax2 = = -4 %3D %D -4
Verify that 1, is an eigenvalue of A and that x, is a corresponding eigenvector. [: 11 = 4, x1 = (1, 0) 12 = -4, x2 = (0, 1) 4 A = %D -4 4 1 Ax1 = 4 -4 4 Ax2 = = -4 %3D %D -4
Verify that 1, is an eigenvalue of A and that x, is a corresponding eigenvector. [: 11 = 4, x1 = (1, 0) 12 = -4, x2 = (0, 1) 4 A = %D -4 4 1 Ax1 = 4 -4 4 Ax2 = = -4 %3D %D -4
Transcribed Image Text:Verify that 1, is an eigenvalue of A and that x, is a corresponding eigenvector.
11 = 4, x1 = (1, 0)
12 = -4, x2 = (0, 1)
4
A =
%D
-4
4
1
Ax1
= 4
-4
4
Ax2 =
= -4
%D
-4
Branch of mathematics concerned with mathematical structures that are closed under operations like addition and scalar multiplication. It is the study of linear combinations, vector spaces, lines and planes, and some mappings that are used to perform linear transformations. Linear algebra also includes vectors, matrices, and linear functions. It has many applications from mathematical physics to modern algebra and coding theory.
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