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Get Full Access to Linear Algebra With Applications - 8 Edition - Chapter 3.4 - Problem 29
Get Full Access to Linear Algebra With Applications - 8 Edition - Chapter 3.4 - Problem 29

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# LetA be an invertible matrix with eigenvalue,\ having corresponding eigenvector x. Prove ISBN: 9781449679545 435

## Solution for problem 29 Chapter 3.4

Linear Algebra with Applications | 8th Edition

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Problem 29

LetA be an invertible matrix with eigenvalue,\ having corresponding eigenvector x. Prove that ,\ - I is an eigenvalue of A -I with eigenvector x.

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1.2 Polynomials Math 1315 Shelley Hamilton 1.2 Polynomials: Polynomials are the fundamental tools of algebra. Polynomials is an algebraic expression. 5^2= 5*5. 6^3= 6*6*6. 4^6= 4*4*4*4*4*4. (-5) ^3= (-5) (-5) (-5) = -125 A^n. A = Base. N= exponent BE CAREFUL WITH PARENTHESES!!!! BECAUSE THE ANSWER TO -2^4 AND (- 2) ^4 ARE DIFFERENT. Multiplying:  A^m * A^n = A^m+n  7^4 * 7^6 = 7^10  (-2) ^3 * (-2) ^5 = (-2) ^3+5  (5^2) ^3 = 5^2 * 5^2 * 5^2 = 5^6 -When multiplying you add the exponents. If there is an exponent in the parentheses you multiply them. Power of a Power:  (a^m) ^n = a^m*n  Ex. (x^3) ^4 = x^3*4 = x^12  ((-3) ^5) ^3 = (-3) ^5*3 = (-3) ^15  When there is an exponent inside the pare

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##### ISBN: 9781449679545

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