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Chapter 18. Introduction to Four Dimensions Linear algebra in four ...

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Here Aij,ij (respectively Aii) is the 2 × 2 (resp. 3 × 3) matrix obta<strong>in</strong>ed from A by<br />

delet<strong>in</strong>g rows i, j and columns i, j (resp. row i and column i).<br />

Exercise <strong>18.</strong>1 F<strong>in</strong>d the ranks and the kernels of the follow<strong>in</strong>g matrices.<br />

⎡<br />

0<br />

⎢<br />

A = ⎢0<br />

⎣0<br />

1<br />

0<br />

0<br />

1<br />

1<br />

0<br />

⎤<br />

1<br />

1 ⎥<br />

1⎦<br />

,<br />

⎡<br />

1<br />

⎢<br />

B = ⎢2<br />

⎣1<br />

1<br />

2<br />

1<br />

2<br />

1<br />

0<br />

⎤<br />

2<br />

1 ⎥<br />

0⎦<br />

0 0 0 0<br />

1 1 1 1<br />

.<br />

Exercise <strong>18.</strong>2 F<strong>in</strong>d the <strong>in</strong>verses of the follow<strong>in</strong>g matrices.<br />

⎡<br />

0<br />

⎢<br />

A = ⎢a<br />

⎣0<br />

0<br />

0<br />

b<br />

0<br />

0<br />

0<br />

⎤<br />

d<br />

0 ⎥<br />

0⎦<br />

, abcd �= 0,<br />

⎡<br />

0<br />

⎢<br />

B = ⎢1<br />

⎣1<br />

1<br />

0<br />

1<br />

1<br />

1<br />

0<br />

⎤<br />

1<br />

1 ⎥<br />

1⎦<br />

0 0 c 0<br />

1 1 1 0<br />

.<br />

Exercise <strong>18.</strong>3 Let P be the plane given as the <strong>in</strong>tersection of two hyperplanes<br />

ax + by + cz + dw = 0, a ′ x + b ′ y + c ′ z + d ′ w = 0,<br />

with non-proportional normal vec<strong>to</strong>rs n = (a, b, c, d) and n ′ = (a ′ , b ′ , c ′ , d ′ ).<br />

Let N be the plane spanned by the vec<strong>to</strong>rs n and n ′ . What is the geometric<br />

relationship between the planes P and N? Justify your answer. H<strong>in</strong>t: Dot product.<br />

Exercise <strong>18.</strong>4 Compute the characteristic polynomial PA(x) for the matrix<br />

⎡ ⎤<br />

0 0 0 d<br />

⎢<br />

A = ⎢1<br />

0 0 c ⎥<br />

⎣0<br />

1 0 b⎦<br />

0 0 1 a<br />

.<br />

Exercise <strong>18.</strong>5 F<strong>in</strong>d the eigenvalues of the matrix<br />

⎡ ⎤<br />

0 0 0 1<br />

⎢<br />

A = ⎢1<br />

0 0 0 ⎥<br />

⎣0<br />

1 0 0⎦<br />

0 0 1 0<br />

.<br />

You will f<strong>in</strong>d that ±1 are two of the eigenvalues. Compute E(1) and E(−1).<br />

8

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