Semester : SEMESTER 1
Subject : Applied Linear Algebra
Year : 2018
Term : DECEMBER
Branch : SIGNAL PROCESSING
Scheme : 2015 Full Time
Course Code : 01 EC 6301
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a. State the properties of inner product for a vector space over C 2
0.
Cc.
Find the LI norm and L2 norm of the vector x =( 1+2j, 2-3], I-j) 3
State and prove Triangular inequality. 4
a. Let x ( 1, 2, 1, 2) and y (2, -3, O, 2). Resolve the vector y into two orthogonal 2
components in wh.ich one is along with x.
b.
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Define orthogonal subspaces of a vector space. What are the important 3 orthogonal
subspaces associated with an mxn matrix A ?
Find the matrix representing the linear transform T : R3 to R3 defined by 4
T(xyz) = (x-y, y-z, z-x) with respect to the basis 8 = { (1,1,0), (0,1,1) , (1,0,1) }
PART C
. Determine the geometric multiplicity and algebraic multiplicity ofthe 63 2
eigenvalues ofthe matrix=O 1 3
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Give Examples for the following 6
1. Hermitian Matrix
. Unitary Matrix
2
3. Orth ogonal Matrix
4
Normal Matrix
. State Spectral Theorem 2
Defi_ne positive definite maheix 2
Let V be an n-dimensional vector space over Cand T: Vto Va linear 8 transform with
distinct eigenvalues {XI,X2, .....,Xk). Prove that the sum of geometric multiplicities of
the eigenvalues is uhnost n.
8 Find the pseudo inverse of the matrix A 2 0
Prove that eigenvectors corresponding to the distinct eigenvalues of a matrix 4 are
linearly independent.