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Question: In Exercises 1 through 20, find the redundant column vectors of the given matrix A 鈥渂y inspection.鈥 Then find a basis of the image of A and a basis of the kernel of A.

18.1151012201230124

Short Answer

Expert verified

The redundant column vectors of matrix A is v3.

The basis of the image of A =.role="math" localid="1659407210358" 1000,1111,1234

The basis of the kernel of A =52-100

Step by step solution

01

Finding the redundant vectors

Let v1=1000,v2=1111,v3=5222,v4=1234

Here we have v3=5v1+2v2

v3is redundant vector v1,v2andv4are non-redundant vectors.

02

Finding the basis of the image of A

The non-redundant column vectors of A form the basis of the image of A.

Since column vectors v1,v2andv4are non-redundant vectors of matrix A, thus the basis of the image A = v1,v2,v4i.e.localid="1659407481728" 1000,1111,1234

03

Finding the basis of the kernel of A

Since the vectorv3is redundant vectors such that

v3=5v1+2v25v1+2v2-v3=0

Thus the vector in kernel of A is w=52-100.

04

Final Answer

The redundant column vectors of matrix A is v3.

The basis of the image of A =1000,1111,1234.

The basis of the kernel of A =52-100.

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Most popular questions from this chapter

In Exercises 1 through 20, find the redundant column vectors of the given matrix A 鈥渂y inspection.鈥 Then find a basis of the image of A and a basis of the kernel of A.

17. [0120300014]

An n 脳 n matrix A is called nilpotent ifAm=0for some positive integer m. Examples are triangular matrices whose entries on the diagonal are all 0. Consider a nilpotent n 脳 n matrix A, and choose the smallest number 鈥榤鈥 such that Am=0. Pick a vector vin nsuch that Am-1v0. Show that the vectorsv,Av,A2v,...,Am-1vare linearly independent.

Hint: Consider a relation c0v+c1Av+c2A2v+...+cm-1Am-1v=0. Multiply both sides of the equation with Am-1to show c0=0. Next, show thatc1=0,and so on.

In Problem 46 through 55, Find all the cubics through the given points. You may use the results from Exercises 44 and 45 throughout. If there is a unique cubic, make a rough sketch of it. If there are infinitely many cubics, sketch two of them.

(0,0),(1,0),(2,0),(3,0),(4,0),(0,1),(0,2),(0,3),(1,1)

(a) Let Vbe a subset of role="math" localid="1660109056998" n. Let mbe the largest number of linearly independent vectors we can find in V. (Note mn, by Theorem 3.2.8.) Choose linearly independent vectors 1,2,,m inV. Show that the vectors 1,2,,mspanV and are therefore a basis of V. This exercise shows that any subspace ofn has a basis.

If you are puzzled, think first about the special case when role="math" localid="1660109086728" Vis a plane in 3. What ism in this case?

(b) Show that any subspaceV of ncan be represented as the image of a matrix.

Give an example of a parametrization of the ellipse

x2+y24=1

in2 . See Example .

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