DOC PREVIEW
UW-Madison MATH 340 - Examination

This preview shows page 1-2-3-4 out of 11 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

1A. MillerM340 Exam 1Feb 23, 1990Put your answers on this exam. Put your work on separatesheets of paper to be handed in with the exam. There are a totalof 50 points.Name ScoreA ="1 1 + i 0−1 2i 3#B =01 + i1C =i1iCompute the following or say that it is undefined.1. (1 point(s)) AB=2. (1 point(s)) B + C=3. (1 point(s)) BA=4. (1 point(s)) iA=5. (1 point(s)) A0=6. (1 point(s)) hB, Ci=7. (1 point(s)) |hB, Ci|=8. (1 point(s)) ||C||=29. (1 point(s)) If the norm of a vector Q is 6 what is the norm of iQ?10. (2 point(s)) If hU, V i = 2 + 3i what is hV, 2Ui?11. (2 point(s)) If B is the inverse of the matrix A, then what is the inverseof the matrix 6A?12. (2 point(s)) Give the de finition of the inverse of an n × n matrix A.(Your answer should consist of a grammatically correct sentence.)13. (2 point(s)) Give an example other than the identity of an orthogonalsymmetric 2 × 2 matrix.14. (1 point(s)) Give an example of a trivial 3 × 1 vector.15. (1 point(s)) Give an example of a nontrivial 2 × 1 vector.16. (2 point(s)) For what values of a, b, c does the equation1 1 0 1 00 0 1 0 10 0 0 0 0X =abchave(a) no solutions?(b) a unique solution?(c) infinitely many solutions?17. (2 point(s)) What are the slack columns of the matrix A?A =0 1 0 1 00 0 0 0 10 0 0 0 0318. (4 point(s)) Find the inverse of A or show that the inverse does not existby exhibiting a nontrivial vector X such that AX = [0]. (Rememb er: Putyour work on a separate sheet of paper.)(a)A =0 −1 0 21 0 0 00 0 1 00 1 0 −1(b)A =1 2 10 1 11 3 219. (2 point(s)) Find an elementary matrix E such that EA is in row echelonform or say that no such E exists.A =0 1 0 2 01 0 0 0 20 0 1 0 −1420.(1 point)(Circle one: True False.) If U and V are n × n uppertriangularmatrices then so is UV .21.(1 point)(Circle one: True False.) If D is a diagonal n × n matrix, thenso is cDn+1where c is a scalar.22.(1 point)(Circle one: True False.) If A, B, C and D are n × n matrices,then (AB)(CD) = A(BC)D.23.(1 point)(Circle one: True False.) If A and B are n × n matrices and c isa scalar, then A(cB) = B(cA).24.(1 point)(Circle one: True False.) If A, B, and C are n × n matrices andA + C = C + B, then A = B.25.(1 point)(Circle one: True False.) If A is an n × n invertible matrix, thenthe matrix equation AX = B has a unique solution.26.(1 point)(Circle one: True False.) If A and B are symmetric n×n matrices,then AB is a symmetric matrix.27.(1 point)(Circle one: True False.) If A and B are symmetric n×n matrices,then A + B is a symmetric matrix.28.(1 point)(Circle one: True False.) If A, B, and C are n × n matrices andAC = BC, then either A = B or C is the zero matrix.29.(1 point)(Circle one: True False.) It is possible to find 5 × 1 vectors Uand V such that ||U||=2, ||V || = 3 and ||U + V || = 4.30.(1 point)(Circle one: True False.) It is possible to find 17 × 1 vectors Uand V such that ||U||=4, ||V || = 2 and ||U + V || = 7.31.(1 point)(Circle one: True False.) It is possible to find 3 × 1 vectors Uand V such that hU, V i = 5 and ||U|| = ||V || = 2.32.(1 point)(Circle one: True False.) For any n there exists an n × n elemen-tary matrix E such that EA = ATfor any n × n matrix A.33.(1 point)(Circle one: True False.) For any m × n matrix A it is possibleto find an invertible m × m matrix M such that M A is in row echelon form.34.(1 point)(Circle one: True False.) The sum of two n×n invertible matricesis invertible.35. (6 point(s)) Supp ose A is an n ×n matrix such that kAXk = kXk for alln ×1 vectors X. On the back of this page prove that hAX, AY i = hX, Y ifor all n × 1 vectors X and Y .5exam 1 solutions by minimat** Diary file: C:\CLASS\340JAN90\EX1opened at Date/Time: 90-02-23 10:38:24**(Type DIARY OFF to close the diary.)#> i=sqrt(-1)i =( 0.000 + 1.000*i)#> a=[1 1+i 0; -1 2*i 3]a =( 1.000 + 0.000*i) ( 1.000 + 1.000*i) ( 0.000 + 0.000*i)( -1.000 + 0.000*i) ( 0.000 + 2.000*i) ( 3.000 + 0.000*i)#> b=[0;1+i;1]b =( 0.000 + 0.000*i)( 1.000 + 1.000*i)( 1.000 + 0.000*i)#> c=[i;1;i]c =( 0.000 + 1.000*i)( 1.000 + 0.000*i)( 0.000 + 1.000*i)#> a*bans =6( 0.000 + 2.000*i)( 1.000 + 2.000*i)#> b+cans =( 0.000 + 1.000*i)( 2.000 + 1.000*i)( 1.000 + 1.000*i)#> b*a[71] : Incompatible sizes for multiplication#> i*aans =( 0.000 + 1.000*i) ( -1.000 + 1.000*i) ( 0.000 + 0.000*i)( 0.000 - 1.000*i) ( -2.000 + 0.000*i) ( 0.000 + 3.000*i)#> a’ans =( 1.000 + 0.000*i) ( -1.000 + 0.000*i)( 1.000 - 1.000*i) ( 0.000 - 2.000*i)( 0.000 + 0.000*i) ( 3.000 + 0.000*i)#> b*c[71] : Incompatible sizes for multiplication#> inner(b,c)ans =1.0007#> norm(c)ans =1.732#> sqrt(3 )ans =1.732#> q=6q =6.000#> norm(i*q)ans =6.000#> u=2+3*i, v=1u =( 2.000 + 3.000*i)v =1.000#> inner(u,v)ans =( 2.000 + 3.000*i)#> inner(v,2*u)8ans =( 4.000 - 6.000*i)#> a=rand(3,3)a =0.598 0.882 0.2950.189 0.486 0.1610.476 0.125 0.469#> b=inv(a)b =3.967 -7.197 -0.027-0.225 2.667 -0.774-3.966 6.595 2.366#> inv(6*a)ans =0.661 -1.200 -0.004-0.037 0.444 -0.129-0.661 1.099 0.394#> a=[0 -1 0 2; 1 0 0 0 ; 0 0 1 0 ; 0 1 0 -1]a =0.000 -1.000 0.000 2.0001.000 0.000 0.000 0.0000.000 0.000 1.000 0.0000.000 1.000 0.000 -1.000#> inv(a)ans =0.000 1.000 0.000 0.0001.000 0.000 0.000 2.00090.000 0.000 1.000 0.0001.000 0.000 0.000 1.000#> randsoln(a)ans =0.0000.0000.0000.000#> a=[ 1 2 1; 0 1 1; 1 3 2 ]a =1.000 2.000 1.0000.000 1.000 1.0001.000 3.000 2.000#> inv(a)[82] : Vanishing determinant#> randsoln(a)ans =0.483-0.4830.483#> a=[0 1 0 2 0 ; 1 0 0 0 2; 0 0 1 0 -1]a =0.000 1.000 0.000 2.000 0.0001.000 0.000 0.000 0.000 2.0000.000 0.000 1.000 0.000 -1.00010#> [b m]=refm(a)b =1.000 0.000 0.000 0.000 2.0000.000 1.000 0.000 2.000 0.0000.000 0.000 1.000 0.000 -1.000m =0.000 1.000 0.0001.000 0.000 0.0000.000 0.000 1.000#> round(rand(15,1))ans =0.0000.0000.0000.0001.0000.0000.0000.0001.0000.0000.0001.0001.0000.0001.000#> quit11** Diary file: C:\CLASS\340JAN90\EX1 closed atDate/Time: 90-02-23


View Full Document

UW-Madison MATH 340 - Examination

Download Examination
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Examination and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Examination 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?