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Solutions to exam 1 of math 260 by jerry l. Kazdan. It includes answers to ten questions covering topics such as linear spaces, linear maps, and systems of linear equations. The document also provides explanations for each solution.
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Feb. 9, 2012 12:00 – 1:
Directions This exam has 10 questions (10 points each). Closed book, no calculators or computers– but you may use one 3′′^ × 5 ′′^ card with notes on both sides. Neatness counts.
− 1 p(x) cos 2x dx^ = 0. Solution: Yes – obviously. d) The set of solutions y = y(t) of y′′^ + 4y′^ + y = x^2 − 3. [Note: You are not being asked to solve this differential equation. You are only being asked a more primitive question.] Solution: No. The function y(x) ≡ 0 does not satisfy this equation.
Solution: For instance, A is a rotation by π/2 (90 degrees): A :=
1 0
Solution: This is simple enough that the computation is fairly easy using many different bases for the space of quadratic polynomials. I’ll use a Lagrange basis:
p 1 (x) :=
x(x − 2) −1(− 1 − 2)
; p 2 (x) :=
(x + 1)(x − 2) 1(0 − 2)
; p 3 (x) :=
(x + 1)x (2 + 1)
Then
p(x) = 0p 1 (x) + (−1)p 2 (x) + 3p 3 (x) =
(x + 1)(x − 2) 2
(x + 1)x 6
= x^2 − 1.
Solution: Any proof that begins with C−^1 = A−^1 B−^1 is almost certainly nonsense since this presumes A and B are invertible. But if a matrix is invertible, it must be square (why?), and neither A nor B are square. Note that D := AB : R^2 → R^2 can be invertible (Simple Example?).
Here is a solution. If C is invertible, it must be one-to-one. But A can’t be one-to-one (why?) and anything in the nullspce of A is also in then nullspace of C.
Another solution. If C is invertible, it must be onto. But B can’t be onto (why?) and anything in the image of C must also be in then image of B.
Solution: There are several approaches. One begins with the observation that the vector N := (1, 2 , −1) is orthogonal to this plane because if V := (x, y, z) is in this plane then 〈V, N 〉 = 0. Think of P as a vector from the origin (which is in the plane) to the point P. From a sketch, it is clear that the distance from P to this plane is ‖P ‖ cos θ , where θ is the angle between the vectors P and N. But 〈P, N 〉 = ‖P ‖‖N ‖ cos θ. Thus
Distance =
Since we might have used −N for the normal to the plane, to find the distance, if needed we should insert the absolute value in the final step.