This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: University of Toronto
Department of Mathematics MAT223H1Y—Summer 2010
Linear Algebra 1 Final Examination
Thurs, August 19, 2010 J. Cho, E. Mazzeo Duration: 3 hours Last Name: Given Name: Student Number: Tutorial Section: No calculators or other aids are allowed. FOR MARKER USE ONLY
Question Mark
P 1 / 10
2 / 10
3 / 10
4 / 10
5 / 10
6 / 10
7 / 10
8 / 10
9 / 10
10 /10
TOTAL / 100 10f21 For each of the statements below, decide if it is true or false. Indicate your answer by shading in the box corresponding to your choice. Then justify your
answer. [5] 1(3) S: {1+x,3a:+:z:2,2+x—$2} isabasis for PAR). false
Justify your answer. 2of21 [5] 1(b) Let B be a ﬁxed matrix in Mnxn(R). Then, S = {A E Mnxn(R)AB = 0} is a subspace
of Mnxn(R). Justify your answer. true false 30f21 [5] 2(a) Let W1, W2 be subspaces of a vector space V. Then their intersection W1 ﬂ W2 is also
a subspace of V. Justify your answer. true 4of21 [5] 2(b) Let V, W be vector spaces of dimension 2 and 3 respectively. Then there is a linear
transformation L : V —> W which is onto. Justify your answer. 50f21 3 —2
1 O , and let b =
1 —1 3. Let A: r—tr—lw
Nl—‘M
Moor— [4] (a) Solve the system An: = b and write your solution as a column vector.
[2] (b) Find a basis for the null space of A. [2] (c) Find the rank of A. [2] (d) Which columns in A form a basis for the column space of A? 6of21 EXTRA PAGE FOR QUESTION 3. Please do not remove. 7of21 1 2 ——1 3
[6] 4(a) Let A = g L: g (1) . Compute the det(A).
—l O —2 7 [4] 4(b) Let S = {(1,2,—1,3),(3,5,2,0),(0,1,3,1),(—1,0,—2,7)}. Determine whether 5' is
linearly independent or not. Justify your answer. 8of21 EXTRA PAGE FOR QUESTION 4. Please do not remove. 90f21 1 —2 O 3 —4 . . 3 2 8 1 4 5. Let A be a given 4 X 4 matrlx. Let S — 2 , 3 , 7 , 2 , 3
—l 2 0 4 —4 Assume that every vector in S belongs to the null space of A. Then, [7] (a) Find a subset T of S which is a basis for SpanS. [3] (b) Determine whether the set of row vectors of A are linearly independent or not. 10 of 21 EXTRA PAGE FOR QUESTION 5. Please do not remove. 110f21 6. Let V = R4. Consider the inner product (u, v) = 4711121 + 3112122 + 2u3v3 + 11,4114 on V,
Whereu=[u1 Mg 113 U4],V=[U1 ’02 v3 v4 LetW=spcm{X,y},wherex=[10 —1 0 ],y= [ —1 0 1 2 [7] (a) Find orthonormal bases for W and WL respectively. [3] (b) Find the orthogonal projection of z = [ 1 1 1 1 ] on W. 12 of 21 EXTRA PAGE FOR QUESTION 6. Please do not remove. 13 of 21 7. Let A: l—‘I—‘O
r—Icw—A
OHH [2] (3) Find the eigenvalues of A.
[5} (b) Find a basis of eigenvectors for A. [3] (c) Find a matrix Q such that Q‘lAQ is diagonal. 14 of 21 EXTRA PAGE FOR QUESTION 7. Please do not remove. 15 of 21 8. Deﬁne T : nggﬂR) —+ BUR) by T (Z = (a + b) + (2d)a: + bx? Let [3 be the standard basis for M2x2<R>7 and let 7 be the standard basis for PAR).
[4] (a) Prove that T is a linear transformation.
[4] (b) Compute [2] (C) Find the null space of T. 16 of 21 EXTRA PAGE FOR QUESTION 8. Please do not remove. 17 of 21 [5] 9(a) Let V = MMHUR). For each ordered pair of matrices A, B in ManUR), we assign a
real number (A, B) = T7"(BTA), where T7" denotes the trace of a matrix.
Prove that (A, B) is an inner product on V. 18 of 21 [5] 9(b) Let V = R” be an inner product space with the standard inner product.
Let A E MnanR). Assume that the rows of A form an orthonormal basis for IR”.
Prove that AAT = In. 19 of 21 [10] 10. Let A be a square matrix of any size n X n. Suppose A is diagonalizable, and 1 and
—1 are the only eigenvalues of A. Prove that A is invertible, and that A"1 = A. 20 of 21 EXTRA PAGE FOR QUESTION 10. Please do not remove. 21 of 21 ...
View
Full Document
 Spring '11
 p
 Linear Algebra, Algebra

Click to edit the document details