Find the dimension of the vector space spanned

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Reference no: EM131211370

1. The inner product (..) can be used to define an inner product space for vectors in Rn. The inner product defined for any inner product space must satisfy three important properties, which are listed below in the pars. verify the following properties or the inner product:

(a) (x,x) ≥0, with equality if and only if x = On.

(b) (x,y) = (y,x) for all x,y € Rn.

(c) (ax+βy,z) =a(x,z)+β(y,z).

2. The scalar projection of u on to v defined as

106_Untitled.png

and the vector projection of u onto v is

2255_Untitled.png

Assume that v≠ 0 and p is the vector projection of u on v. Show the following:

(a) u-p and p are orthogonal.

(b) u=p if and only if u is a scalar multiple of v.

3. Find the dimension of the vector (perhaps sub-)space spanned by these six vectors in R6:

1819_Untitled.png

4. Use the inverse to solve the following systems of equations:

(a)          2x-3y=3

                3x-4y=5

(b)          2x-3y=8

                3x-4y=11

(c)           2x-3y=0

                3x-4y=0

5. Draw a picture that graphically represents the determinant as the area of the parallelogram with two sides given by the vectors a=[3/1] and b= [1/2],like the one in class but using the given vectors.

6. Diagonalize these matrices:

(a)  C =[2/0 1/3 ]

(b)  D= [6/3 -4/-1]

7. Suppose ARn*n , and suppose that B=A-αln for some scalar a. How are the eigenvalues of A and B related?

8. Find the matrices associated with these quadratic forms:

(a) 3x2-5cy+y2

(b)2x2+3y2+z2+xy-2xz+3yz

 

Verified Expert

We know that the inner product of vectors x and y is =x_1 y_1+x_2 y_2+?+x_n y_n =x_1 x_1+x_2 x_2+?+x_n x_n=x_1^2+x_2^2+?+x_n^2

Reference no: EM131211370

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