• Aucun résultat trouvé

MA 1212: Linear Algebra II Tutorial problems, February 12, 2015

N/A
N/A
Protected

Academic year: 2022

Partager "MA 1212: Linear Algebra II Tutorial problems, February 12, 2015"

Copied!
1
0
0

Texte intégral

(1)

MA 1212: Linear Algebra II Tutorial problems, February 12, 2015

1.For the matrix

3 1 −1 1 1 −2

−1 −2 1

of a certain bilinear form, compute the determinants ∆1, ∆2, ∆3, and determine the signature of the corresponding quadratic form.

2. Use the Sylvester’s criterion to find all values of the parameter a for which the quadratic form(18+a)x21+3x22+ax23+10x1x2−(8+2a)x1x3−4x2x3 on R3 is positive definite.

3.Compute the eigenvalues of the matrix

0 1 0 1 0 1 0 1 0

, and determine the

signature of the quadratic form

q(x1e1+x2e2+x3e3) =x1x2+x2x3. 4.Let

ϕ(x1, x2) =sin2(x1−x2) −e12(x21+x22)+2cx1x2.

Furthermore, letAbe the symmetric2×2-matrix with entriesaij = ∂x2ϕ

i∂xj(0, 0, 0).

(a) Write down the matrix A.

(b) Determine all values of the parameterc for which the corresponding quadratic form is positive definite.

(c) Does ϕ have a local minimum at the origin(0, 0) for c= −3/5?

Références

Documents relatifs

To determine a basis for a linear span of given vectors, the easiest way is to form the matrix whose columns are the given vectors, and find its reduced column echelon form (like

Find some basis of this

Therefore, this subspace

− a k−1 e k−1 ; this way the condition on linear combinations on the first k vectors of the original basis is automatically satisfied.. The process described in the proof is

(If we introduce a coordinate system corresponding to an orthonormal basis, the vector space gets identified with R n with the usual scalar product, and a symmetric

[r]

Today we shall start proving the theorems on quadratic forms that you used in the tutorial class last week..

The signature of B is completely determined by eigenvalues of B: the number n + is the number of positive eigenvalues, the number n − is the number of negative eigenvalues, and