5 Practice Questions for Assignment 2 - Linear Statistical Models | STAT 714, Assignments of Statistics

Material Type: Assignment; Class: LINEAR STATISTICL MODELS; Subject: Statistics; University: University of South Carolina - Columbia; Term: Fall 2008;

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STAT 714, FALL 2008 HOMEWORK 2
1. For any matrix A, show that R(A0A) = R(A).
2. Define the matrix
A=
1100
1100
0010
0011
.
(a) Find C(A) and a basis for this space.
(b) Find N(A0) and a basis for this space.
(c) Find 2 different generalized inverses of A, say A
1and A
2. Check your work by
showing that AA
1A=Aand AA
2A=A.
(d) Compute MA, the perpendicular projection matrix onto C(A).
(e) Compute IMA, the perpendicular projection matrix onto N(A0).
3. Let An×p,bp×1,cn×1, and suppose that the equations Ab =care consistent. Let
xn×1,up×1, and Xp×n. Let A
1and A
2be two generalized inverses of A. Let Idenote
the n×nidentity matrix.
(a) Let bbe a solution to Ab =c. Show that b+uc0{(A
1)0A0I}xis also a solution.
(b) Show that A
1+X(AA
2I) is a generalized inverse of A.
4. (a) Suppose that Ais an n×nsymmetric matrix. Prove that Ais idempotent if and
only if r(A) + r(IA) = n.
(b) Suppose that A,B, and A+Bare all idempotent. Prove that AB =0and BA =0.
5. Let Pbe an n×northogonal matrix and let Abe an n×nsymmetric and idempotent
matrix. Define D=P0AP.
(a) Show that Dis a perpendicular projection matrix.
(b) Show that if Ais nonnegative definite, then so is D.
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STAT 714, FALL 2008 HOMEWORK 2

  1. For any matrix A, show that R(A′A) = R(A).
  2. Define the matrix

A =

   

   

(a) Find C(A) and a basis for this space. (b) Find N (A′) and a basis for this space. (c) Find 2 different generalized inverses of A, say A− 1 and A− 2. Check your work by showing that AA− 1 A = A and AA− 2 A = A. (d) Compute MA, the perpendicular projection matrix onto C(A). (e) Compute I − MA, the perpendicular projection matrix onto N (A′).

  1. Let An×p, bp× 1 , cn× 1 , and suppose that the equations Ab = c are consistent. Let xn× 1 , up× 1 , and Xp×n. Let A− 1 and A− 2 be two generalized inverses of A. Let I denote the n × n identity matrix. (a) Let b∗^ be a solution to Ab = c. Show that b∗^ + uc′{(A− 1 )′A′^ − I}x is also a solution. (b) Show that A− 1 + X(AA− 2 − I) is a generalized inverse of A.
  2. (a) Suppose that A is an n × n symmetric matrix. Prove that A is idempotent if and only if r(A) + r(I − A) = n. (b) Suppose that A, B, and A + B are all idempotent. Prove that AB = 0 and BA = 0.
  3. Let P be an n × n orthogonal matrix and let A be an n × n symmetric and idempotent matrix. Define D = P′AP. (a) Show that D is a perpendicular projection matrix. (b) Show that if A is nonnegative definite, then so is D.

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