BeingBlue.com

Math


Algebra

Complex_Variables

Communications

Circuits

Let A be a 3 x 3 orthogonal matrix and let |A| = 1. Show L = 1 is an eigenvalue of A. Let W be the eigenspace of A corresponding to L = 1. Show dim(W) = 3 if A = I and dim(W) = 1 if A is not equal I.

 

0023

Let A be an n x n matrix and let l0 be a root (not necessarily real) of the characteristic equation of A. Show l0k is a root of the characteristic equation of Ak. Let A be a 100 x 100 matrix such that A2 = I and let t = trace(A). Show t is an even integer and -100 =< t =< 100.

 

0022

Without finding the characteristic equation find an eigenvalue of matrix A.

 

0021

Let F(x, y, z) = y3 + x2 - 3y2 + z2 + xz + 3x. Find the stationary points of F. Examine if F has a local extrema or a saddle point at the points found in (a).

 

0020

Consider the curve: x2 + y2 + 2xy + 3x + y - 1 = 0. Find a suitable coordinate system x_, y_ to put the above conic section in standard form. Find the x, y coordinates of the origin of the final coordinate system x_, y_. Find the x_, y_ coordinates of the point (x, y) = (1, -1).

 

0019

Let B be an n x n invertible matrix and let A = BTB. Show A is positive definite. Let A be an n x n (symmetric) positive definite matrix. Show there exists an invertible matrix B such that BTB = A.

 

0018

Let m be the minimum and M the maximum value of f(x, y, z) = 2x2 + 2y2 + z2 - 2xz + 2yz subject to x2 + y2 + z2 = 1. Without using calculus, find m and M. Find a point (x0, y0, z0) on the sphere x2 + y2 + z2 = 1 such that f(that point) = m, and f(that point) = M.

 

0017

Solve an initial value problem for a system of differential equations.

 

0016

Given 2 x 2 matrix A. Find An. Find lim as n -> infinity of 1/(23n-1)An. Find all 2 x 2 matrices B such that B2 = A.

 

0015

Let E = integral from -1 to 1 of (ex - p(x))2 with respect to x where p(x) is an element of P2. Find p(x) so that E is minimum. Find the exact minimum value of E.

 

0014

Let A(0,3) B(1,2) C(2,4) D(3,4). Find the exact least squares straight line to fit the points. Find the exact least squares quadratic to fit the points.

 

0013

Find the least squares solution to a system of linear equations.

 

0012

Let Rn have the Euclidean inner product and let u be a unit vector in Rn. Let H = In - 2uuT. Show that H is both symmetric and orthogonal and hence its own inverse.

 

0011

Let A be an n x n matrix such that A5=0-matrix. Let B1 = I - A and B2 = I - A2. Show B1 and B2 are invertible. Express B1-1 and B2-1 in terms of A.

 

0010

Let W be the subspace of R5 spanned by v1, v2, v3, and v4. Find a homogeneous system where solution space is W.

 

0009

Let R4 have the Euclidean inner product and let W be the subspace of R4 spanned by v1, v2, v3 (defined). Find an orthonormal basis for W. Find an orthonormal basis for W-perp. Find two vectors when summed equal a third given vector where one vector is in W and the other is in W-perp.

 

0008

Let V be an inner product space, and let u, v, w be elements of V with given norms and inner products, find angle between v and w, compute an inner product, and find a distance.

 

0007

Express rank(A) as function of parameter t.

 

0006

Given an inner product defined in R2, find the angle between 2 vectors, the distance between 2 vectors, a unit vector orthogonal to a vector, and an orthonormal basis for the space.

 

0005

Let S={v1, v2, v3} be basis for V and S*={u1, u2, u3} where u1, u2, and u3 are linear combinations of v1, v2, and v3, show S* is a basis for V and find (v2) in S*.

 

0004

Show the set of polynomials p(x) of degree n<=2 satisfying p(-1)=0 is a subspace of P2.

 

0003

Given a set of four 4-element vectors, find a subset of the set that forms a basis for the space (a subspace of R4) spanned by the orignal set.

 

0002

Show that either the row or column vectors of any rectangular matrix are linearly dependent.

 

0001

Find bases for the row space, column space, and null space of a matrix.

 

0000