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  1. Solutions to Problem Sets 1. Three Questions at the End of the Preface. Gilbert Strang, Introduction to Linear Algebra, 6th Edition (2023) 1. When can lines of lengths r,s,t form a triangle? They must satisfy the strict triangle inequalities r < s+t s < r +t t < r +s If we allow equality, the triangle will have angles of 0,0 and 180 degrees.

  2. linear algebra class such as the one I have conducted fairly regularly at Portland State University. There is no assigned text. Students are free to choose their own sources of information.

  3. 4 Solutions to Problem Sets 24 A four-dimensional cube has 24 = 16 corners and 2 · 4 = 8 three-dimensional faces and 24 two-dimensionalfaces and 32 edges. 25 Fact: For any three vectors u,v,w in the plane, some combination cu + dv + ew is the zero vector (beyond the obvious c = d = e = 0). So if there is one combination

  4. Problem Sets with Solutions. MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.

  5. Selected problems for students to hand in. Contents. Problems: What is Linear Algebra. Problems: Gaussian Elimination. Problems: Elementary Row Operations. Problems: Solution Sets for Systems of Linear Equations. Problems: Vectors in Space, n-Vectors. Problems: Vector Spaces. Problems: Linear Transformations. Problems: Matrices.

  6. LINEAR ALGEBRA FOR EVERYONE MANUAL FOR INSTRUCTORS Gilbert Strang ... www.wellesleycambridge.com Wellesley-Cambridge Press Box 812060 Wellesley, Massachusetts 02482. Solutions to Exercises 1 Problem Set 1.1, page 8 1 c = ma and d = mb lead to ad = amb = bc. With no zeros, ad = bc is the equation ... answer when u,v,w are in the same plane.

  7. Problem (F'03, #9). Consider a 3x3 real symmetric matrix with determinant 6. Assume (1; 2; 3) and (0; 3; ¡2) are eigenvectors with eigenvalues 1 and 2. Give an eigenvector of the form (1; x; y) for some real x; y which is linearly indepen-dent of the two vectors above. What is the eigenvalue of this eigenvector.

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