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These are the notes of Exercise of Linear Algebra which includes Linear Transformation, Basis, Matrix Representation, Standard Basis, Results, Bases, Transition Matrix etc. Key important points are: Homogeneous Linear Equation, Starred Feedback, Staple, Three, Equations, Infinitely, Homogeneous Linear System, Matrices, Multiplied, Square Matrices
Typology: Exercises
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Please hand in your solutions of the starred feedback exercises by noon on Friday 12 October using the red Linear Algebra I Collection Box in the Basement. Don’t forget to put your name (with your surname underlined) and student number on your solutions, and to staple them. Please also indicate the day and time of the tutorial at which you will collect your marked work.
Exercise 1. Give a geometric explanation of why a homogeneous linear system consisting of two equations in three unknowns must have infinitely many solutions.
Exercise 2. Consider the matrices A and B given by
A =
Find (a) A − B, (b) 12 A + 3B.
Exercise* 3. For the following matrices decide which products of two of them exist (including the possibility that a matrix is multiplied by itself) and calculate these products.
Exercise 4. Let A and B be square matrices of the same size. Show that
(A + B)^2 = A^2 + 2AB + B^2
if and only if A and B commute.
Exercise 5. Show that the sum and the product of two upper triangular matrices of the same size is again upper triangular.
Exercise 6. Let A and B be matrices of the same size. Show the following:
(a) (αA)T^ = αAT^ ;
(b) (A + B)T^ = AT^ + BT^.
Exercise* 7. Let A and B be square matrices of the same size. Show the following:
(a) If A^3 = O then (I + A) is invertible and (I + A)−^1 = I − A + A^2.
(b) If A and B are symmetric then AB is symmetric if and only if A and B commute.
Exercise 8. Show that if A is invertible then AT^ is invertible and
(AT^ )−^1 = (A−^1 )T^.
A cash prize is offered for the best solution received to the following question. Do not hand it in with your coursework, but hand it to me in person at the Wednesday lecture (17th Oct) or before.
Prize question. A matrix P is called an idempotent if P 2 = P. Give examples of idempotents. Can an idempotent be invertible? If P is an idempotent, is I − P invertible? What about I − aP , where a is a scalar?