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Unformatted text preview: Homework 5 (Due Wednesday, November 10)
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Consider the following system: (i) Perform Gaussian / Gauss – Jordan Elimination on the augmented matrix. (ii) Why does this system have infinite solutions? (i. e. Explain in short the result of elimination.) (iii) Write the pivot variables and free variables. (iv) Write the solutions in parametric form. Your answer should contain 2 different parameters, e. g. s and t. (i.e. Write the pivot variables in terms of free variables.) 2. Exercises 3.4, Problem 13 (Hint: part (a): Exchange 2nd and 3rd rows in matrix A (and b), then convert the system into Leontief like system.) In part (b), carry out only 3 iterations. Exercises 3.5, Problem 7 (Refer to example 1, section 3.5. Do NOT perform elimination on 20by20 matrix. Try to observe the pattern in Gaussian Elimination of 6by6 Frog Markov chain. Then use the same pattern for 20by20 matrix.) Let be any vector in x – y plane. Find the 2by2 matrix A for each of the following Linear 3. 4. Transformations. (i) Project vector u on y – axis. (ii) Reflect vector u about y – axis. (iii) Project vector u on the line y = x. (iv) Rotate vector u anticlockwise through 30o, then project onto y – axis, and then stretch 2times. 5. 6. Exercises 4.2, Problem 7 (Plot is not required) Consider the following set of data, which are believed to obey exponential law x y 1 14 2 49 3 171 4 600 (approximately). Perform a transformation y’=f(y) on y so that the regression model y’ = qx + r’ is fairly accurate. Determine q and r’, then reverse the transformation to determine r. ...
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This note was uploaded on 02/28/2011 for the course AMS 210 taught by Professor Fried during the Spring '08 term at SUNY Stony Brook.
 Spring '08
 FRIED

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