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A midterm exam for math 20f, a university-level course on linear algebra and determinants. The exam covers various topics such as solving systems of linear equations, defining linear independence, computing determinants, and verifying properties of linear transformations. Students are required to show all work and are not allowed to use calculators. The exam consists of five problems, each worth a certain number of points.
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Math 20F Name: 8/22/08 Section:
Read all of the following information before starting the exam:
, and b =
. Solve Ax = b.
(b) Suppose T
and T
. Find the matrix for the
linear transformation T.
(c) Define linear independence.
(d) Let A =
. Are the columns of A linearly independent?
. Compute det(A).
(b) Suppose A =
, and b =
. Use Cramer’s rule to solve Ax = b.
(c) Find the area of the triangle with vertices (2, 3), (4, 7) and (8, 4) using the methods of this course.
brief proof. If it is true give a reason - if the reason is a theorem, state the theorem, otherwise give a brief proof. No credit for answers without a correct reason or example. Unless explicitly noted, there are no condition on the dimensions of matrices A and B. (a) If {v 1 , v 2 , v 3 } are linearly dependent, then one of the vectors is a multiple of another.
(b) If Ax = b is consistent for all b, the columns of A span Rm.
(c) If AB = AC, then B = C.
(d) If the transformation T (x) = ABx is onto, then the transformation T ′(x) = Ax is onto
(a) If T : Rn^ → Rm^ is a linear transformation verify that the range of T = {v ∈ Rm^ : T (x) = v for some x ∈ Rn}, is a vector space. (Note the range is not necessarily all of Rm. Rm is the co-domain, not the range.).
(b) Verify that the derivative operator (^) dxd is a linear transformation from the vector space of polynomials of degree at most 3 to the vector space of polynomials of degree at most
(please do not remove this page from the test packet)