Final Exam Review MATH 1201 (proofs to know)

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MATH-1201 Linear Algebra I Final Exam Review Your final exam covers material from the following sections: Sections 1.1 - 1.10, Sections 2.1 - 2.5, Sections 3.1 - 3.5, and the handout on Complex Numbers that was given in class. You are responsible for the proofs of the following theorems, but please note that there may be proofs on your final exam and/or term tests that are NOT on this list: 1. If A, B, and C are m × n matrices, then A +(B + C )=(A + B)+ C 2. If A is m × n and B and C are n × p, then A(B + C )= AB + AC . 3. If A is an invertible n × n matrix, then its inverse is unique. 4. If A and B are invertible n × n matrices then A T -1 = A -1 T and (AB) -1 = B -1 A -1 5. Let A be a square n × n matrix. Prove that A is invertible if and only if it can be written as a product of elementary matrices. 6. Let A be a square n × n invertible matrix. Prove the following: (a) A adj(A) = (detA) I n (Note: To prove this you can use the Lemma that was proved in class, but you don’t need to prove the Lemma.) (b) A -1 = 1 det(A) adj(A) 7. State and prove Cramer’s Rule. 8. Theorem 1, p. 63 of the 5th edition of Grossman’s text, namely: Let a, b, c be n-vectors and let α, β be scalars. Then i. a · 0 = 0. ii. a · b = b · a. iii. a · (b + c)= a · b + a · c. iv. (αa) · b = α(a · b). 1

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the proofs to know for the final exam (this is not meant to be an exhaustive list!)

Transcript of Final Exam Review MATH 1201 (proofs to know)

Page 1: Final Exam Review MATH 1201 (proofs to know)

MATH-1201 Linear Algebra I

Final Exam Review

Your final exam covers material from the following sections:

Sections 1.1 - 1.10, Sections 2.1 - 2.5, Sections 3.1 - 3.5,and the handout on Complex Numbers that was given in class.

You are responsible for the proofs of the following theorems, butplease note that there may be proofs on your final exam and/orterm tests that are NOT on this list:

1. If A, B, and C are m × n matrices, then A + (B + C) = (A + B) + C

2. If A is m × n and B and C are n × p, then A(B + C) = AB + AC.

3. If A is an invertible n × n matrix, then its inverse is unique.

4. If A and B are invertible n × n matrices then

(

AT)

−1

=(

A−1)T

and (AB)−1 = B−1A−1

5. Let A be a square n × n matrix. Prove that A is invertible if and onlyif it can be written as a product of elementary matrices.

6. Let A be a square n × n invertible matrix. Prove the following:

(a) A adj(A) = (detA) In

(Note: To prove this you can use the Lemmathat was proved in class, but you don’t need to prove the Lemma.)

(b) A−1 =1

det(A)adj(A)

7. State and prove Cramer’s Rule.

8. Theorem 1, p. 63 of the 5th edition of Grossman’s text, namely:Let a, b, c be n-vectors and let α, β be scalars. Then

i. a · 0 = 0.ii. a · b = b · a.iii. a · (b + c) = a · b + a · c.iv. (αa) · b = α(a · b).

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9. Theorem 2, p. 242 of the 5th edition of Grossman’s text, namely:For two nonzero 2-vectors u and v, prove thatu · v = |u| |v| cos θ, where θ is the angle between the two vectors.

10. Theorem 2, p. 263 of the 5th edition of Grossman’s text, namely:Let u, v, w be vectors in IR3 and let α be a scalar. Then

i. u× 0 = 0 × u = 0.

ii. u× v = −(v × u).

iii. (αu) × v = α(u × v).

iv. u× (v + w) = (u× v) + (u × w).

v. (u× v) · w = (u · v) × w.

vi. u · (u × v) = v · (u × v) = 0.

vii. If u 6= 0 and v 6= 0, then u and v are parallel if and only ifu× v = 0.

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