Reference no: EM132238155
Assignment Questions -
Q1. Show that the set of rational numbers Q = {p/q, p, q ≠ 0 ∈ Z} is a field.
Q2. Show that the set of 3 × 3 matrices form a vector space over R.
Let S be the set of 3 × 3 matrices over R,
Q3. Let W be a subset of vector space V over K. ∀u, v ∈ W, α ∈ K, αu + v ∈ W , show that W is a subspace over K. Hence, show that the set of linear combinations W = {α1v1 + α2v2 + ··· αnvn, vi ∈ V, αi ∈ K, i = 1, n} is a subspace of V over K.
Q4. Show that the set of polynomials of degrees 0, 1, 2 and 3 form a vector space over Q.
Q5. Let V = {f: R → R} be the set of real number functions, show that V is a vector space over R. Define f, g ∈ V, (f + g)(x) = f(x) + g(x) and (cf)(x) = cf(x).
Q6. Show that vectors (x1, y1), (x2, y2) and (x3, y3) ∈ R2 cannot be linearly independent.
Q7. Show that {u1 = (a, b), u2 = (a + c, b + c)} is a basis of V = R2 over R.
a = {3, 4, 5, 6, 7}, b = {8, 9, 10, 11, 13, 17}, c = {14, 15, 16, 17, 19, 21, 23} mod(U, N)+1
Q8. Let {u1, u2, ··· un} be orthogonal vectors of vector space V.
(i) Show that {u1, u2, ··· un} are linearly independent vectors.
(ii) Show that the representation v = α1u1 + α2u2 + ··· αnun is unique.
(iii) Given vector v, find its coordinates αi (i = 1, n) with respect to vectors {u1, u2, ··· un}.
Q9. a and b are vectors in Rn. Show that a · b = k=1∑nakbk is a positive-definite scalar product.
Q10. f(t) and g(t) are continuous functions on [0, 1]. Show that (f, g) = 0∫1f(t)g(t)dt is a positive-definite scalar product.
Q11. Let V = Rn, subspace S = {(a1, a2, ··· ak, 0, ··· 0)} ⊂ V, find S⊥ by the dot product.
Q12. Verify the Pythagoras theorem for vectors u = (a, b, c) and v = (b2, c-ab, -b).
a = {3, 4, 5, 6, 7}, b = {8, 9, 10, 11, 13, 17}, c = {14, 15, 16, 17, 19, 21, 23} mod(U, N)+1
Q13. Prove the parallelogram law.
Q14. Find ak for g(x) = x, ak = 1/π -π∫π g(x)sin(kx)dx.
Q15. Show that (i=1∑nui2) (j=1∑nvj2) ≥ (k=1∑nukvk)2, ui, vi ∈ R.
Q16. Verify triangular inequality with a 2D triangle ABC = {(0,0), (a, 0), (b, c)}.
Q17. Show that the size of a vector upon orthogonal projection is always smaller.
Q18. The scalar product of two functions f(x) and g(x) is given by (f, g) = 1/π -π∫πf(x)g(x)dx
Show that {sin(kx), k = 1,n} form an orthonormal basis.
Q19. Construct an orthonormal basis for vectors {(1, 2, a), (2, 3, b), (2, 5, c)}.
Q20. W = {(1, 0, 0, 0), (1, a, b, c)}, construct an orthonormal basis for W and W⊥. Show that R4 is a direct sum of W and W⊥.
Q21. Show that for linearly independent vectors {v1, v2, ··· , vn}, an orthogonal basis can be constructed by the Gram-Schmidt orthogonalization process.
Q22. Show that the mapping d/dt : V → V is a linear operator, where V is the set of differentiable real number functions. What is the kernel of linear operator d/dt?
Q23. The eigenvalues of u and v are equal to λ, show that αu + βv ∈ Eλ.
Q24. If v1, v2 are eigenvectors of A with different eigenvalues λ1 ≠ λ2, show that v1 + v2 is not an eigenvector of A.
Q25. Show that the eigenvectors of a 3 × 3 matrix A with distinct eigenvalues are linearly independent.
Q26. What is the characteristic polynomial of matrix A = [aij]n×n. Given A = find the characteristic polynomial of A.
a = {3, 4, 5, 6, 7}, b = {8, 9, 10, 11, 13, 17}, c = {14, 15, 16, 17, 19, 21, 23} mod(U, N)+1
Q27. Let {λ1, λ2, ··· λn} be the eigenvalues of a n × n matrix A.
Find α = λ1 + λ2 + ··· + λn and β = λ1 λ2 ··· λn
Q28. A = verify that P(5) = 0 and show that 5 is an eigenvalue of A.
Q29. A = find matrix B such that BB = B2 = A.
Q30. Find the eigenvectors of symmetric matrix A =and verify that they are orthogonal.
Q31. Show that the eigenvalues of symmetrical 2 x 2 matrices are real.
Q32. Solve differential equations, dx/dt = bx - ay and dy/dt = cy - ax.
Q33. Show that q(x) = xTAx is a quadratic form for n × n symmetric matrix A and n × 1 column vector x.
Q34. u, v, x ∈ V, compute (u, v) from the given quadratic form q(x).
Q35. Find the symmetric matrix A associated with the quadratic form q(x) = ax2 + 2bxy + cy2.
Q36. Find the range of q(x) = bx2 - 2axy + cy2 subject to the condition ||x|| = 2.
Q37. What is the range of Rayleigh quotient for matrix A = ?
Q38. Referring to Q18, verify the Pythagoras theorem with vectors u = sin(mx) and v = sin(nx) with m ≠ n.
Q39. What are similar matrices? Show that similar matrices A and B have same eigenvalues. Find a similar matrix to A = .
Q40. Let L be a linear operator on vector space V such that L(αu + βv) = αL(u) + βL(v), u, v ∈ V. Show that the kernel of L forms a subspace in V.
Q41. Find the least square fit to the following data. Estimate the value of y at x = (b + c)/2.
n
|
1
|
2
|
3
|
4
|
5
|
x
|
a
|
b
|
c
|
c+6
|
c+12
|
y
|
20
|
30
|
50
|
60
|
112
|
Note - Need Only First 10 Questions.
Attachment:- Assignment File.rar