L: R^4 => R^3 is defined by L(x,y,z,w) = (x+y, z+w, x+z)(adsbygoogle = window.adsbygoogle || []).push({});

A) Find a basis for ker L

We can re write L(x,y,z,w) as x* (1,01) + y *(1,0,0) + z*(0,1,1) + w*(0,1,0).

I then reduced it to row echelon form

We now have the equations X-W=0 , Y+W=0, Z+W=0.

There are infinitely many solutions as X=W, Y= -W and Z=-W. So if we set W=1 we have

the basis for the kernel=Vector(1,-1, -1,1)

B) find a basis for range L

Given

L(x,y,z,w) = (x+y, z+w, x+z)

We can re write L(x,y,z,w) as x* (1,01) + y *(1,0,0) + z*(0,1,1) + w*(0,1,0).

S= {(1,01) ,(1,0,0) ,(0,1,1),(0,1,0)} It spans L.

To find the basis for L we set {x* (1,01) + y *(1,0,0) + z*(0,1,1) + w*(0,1,0)} = 0,0,0

I reduced it and the leading one's appear in the first 3 columns of the reduced form, the first 3 vectors in the original matrix became a basis for the range of L

They are:

Vector( {(1, (0, (1})

,

Vector( 1, 0, 0})

,

Vector( 0, 0, 1})

C) verify theorem 10.7 (dim(KerL) + dim(rangeL) = dim V

The dim can be viewed as the # of vectors in of the Ker/range.

Given (dim(KerL) + dim(rangeL) = dim V we have 1+3=4, which is the number of dimensions in the original space (L(x,y,z,w)).

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# Kernel/Range basis

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