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Consider the matrixA=⎡⎣⎢132264−1−3−2396⎤⎦⎥.Find a basis for the null space of A. A.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢0−200⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢0010⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢000−3⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪ B.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢−2100⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢1010⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢−3001⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪ C.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢0000⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢1−213⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪ D.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢12−13⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪

Question

Consider the matrixA=⎡⎣⎢132264−1−3−2396⎤⎦⎥.Find a basis for the null space of A. A.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢0−200⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢0010⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢000−3⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪ B.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢−2100⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢1010⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢−3001⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪ C.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢0000⎤⎦⎥⎥⎥,⎡⎣⎢⎢⎢1−213⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪ D.⎧⎩⎨⎪⎪⎪⎪⎪⎪⎡⎣⎢⎢⎢12−13⎤⎦⎥⎥⎥⎫⎭⎬⎪⎪⎪⎪⎪⎪

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Solution

To find a basis for the null space of matrix A, we need to find the vectors that satisfy the equation Ax = 0, where x is a vector of unknowns.

First, let's write out the augmented matrix [A|0]:

[1 3 2 | 0] [6 -1 -3 | 0] [-2 3 9 | 0] [6 0 -3 | 0]

Next, we perform row operations to bring the matrix to row-echelon form:

R2 = R2 - 6R1 R3 = R3 + 2R1 R4 = R4 - 6R1

[1 3 2 | 0] [0 -19 -15 | 0] [0 9 13 | 0] [0 -18 -15 | 0]

R3 = R3 + (9/19)R2 R4 = R4 + (18/19)R2

[1 3 2 | 0] [0 -19 -15 | 0] [0 0 -2 | 0] [0 0 0 | 0]

Now, we can write the system of equations corresponding to the row-echelon form:

x1 + 3x2 + 2x3 = 0 -19x2 - 15x3 = 0 -2x3 = 0

From the last equation, we can see that x3 must be 0. Substituting this into the second equation, we get -19x2 = 0, which means x2 must also be 0. Finally, substituting x2 = 0 and x3 = 0 into the first equation, we get x1 = 0.

Therefore, the null space of matrix A is spanned by the vector [0 0 0]. In other words, the basis for the null space is the zero vector.

This problem has been solved

Similar Questions

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If 𝑆 = {𝑣1 , 𝑣2, . . . , 𝑣𝑛 } is a set of vectors in a finite dimensional vector space 𝑉 , then 𝑆 is called a basis for 𝑉 if:

A𝐴 is a 5×55×5 matrix with columns given by the vectors a1,a2,a3,a4,a5𝑎1,𝑎2,𝑎3,𝑎4,𝑎5  so,A=(a1  a2  a3  a4  a5)𝐴=(𝑎1  𝑎2  𝑎3  𝑎4  𝑎5) If you need to refer to these column vectors in any answer use a1 for a1𝑎1 , a2 for a2𝑎2 etc. A𝐴  has row-reduced echelon form (RREF)U=𝑈= ⎛⎝⎜⎜⎜⎜⎜⎜1000020000010000010000010⎞⎠⎟⎟⎟⎟⎟⎟1200000100000100000100000 State the rank and nullitty of A𝐴 .rank(A)=rank(𝐴)=   nullity(A)=nullity(𝐴)=     Find a basis for the kernel or nullspace of  A𝐴 ,  ker(A)ker(𝐴) . Your answer must be a set of vectors, that is a sequence of vectors separated by commas enclosed in curly brackets { }.  Vectors can either be entered either using Maple notaation, for example,   < 3, 7 >  for the vector (37)(37) or in terms of the vectors   a1,a2,a3,a4,a5𝑎1,𝑎2,𝑎3,𝑎4,𝑎5  written as  a1, a2, a3, a4, a5.The syntax for typical answers is one of the following two forms: { <1,2,3>, <4,5,6>, <1,1,1> }  or  { a2, a3, a4 } Basis for  ker(A)=ker(𝐴)=

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