In Exercises 1-18, s = 1 + 2i, u = 3 – 2i, v = 4 + i, w = 2 - i, and z = 1+i. In each exercise, perform the indicated calculation and express the result in the form a + ib. 1. u 4. Z + w 7. vv 10. z²w 13. u/v 16. (w+v)/u 2. Z 5. u + ū 8. uv 11. uw² 14. v/u² 17. w + iz 3. u + v 6. s-5 9. s² - w 12. s(u² + v) 15. s/z 18. s - iw Find the eigenvalues and the eigenvectors for the matri- ces in Exercises 19-24. (For the matrix in Exercise 24, one eigenvalue is λ = 1 + 5i.) 21. -2-1 52 23.1 -4 -1 2 3 13 3 In Exercises 25 and 26, solv 25. (1 + i)x +iy = 5+ (1 - i)x - 4y = -11 +
In Exercises 1-18, s = 1 + 2i, u = 3 – 2i, v = 4 + i, w = 2 - i, and z = 1+i. In each exercise, perform the indicated calculation and express the result in the form a + ib. 1. u 4. Z + w 7. vv 10. z²w 13. u/v 16. (w+v)/u 2. Z 5. u + ū 8. uv 11. uw² 14. v/u² 17. w + iz 3. u + v 6. s-5 9. s² - w 12. s(u² + v) 15. s/z 18. s - iw Find the eigenvalues and the eigenvectors for the matri- ces in Exercises 19-24. (For the matrix in Exercise 24, one eigenvalue is λ = 1 + 5i.) 21. -2-1 52 23.1 -4 -1 2 3 13 3 In Exercises 25 and 26, solv 25. (1 + i)x +iy = 5+ (1 - i)x - 4y = -11 +
In Exercises 1-18, s = 1 + 2i, u = 3 – 2i, v = 4 + i, w = 2 - i, and z = 1+i. In each exercise, perform the indicated calculation and express the result in the form a + ib. 1. u 4. Z + w 7. vv 10. z²w 13. u/v 16. (w+v)/u 2. Z 5. u + ū 8. uv 11. uw² 14. v/u² 17. w + iz 3. u + v 6. s-5 9. s² - w 12. s(u² + v) 15. s/z 18. s - iw Find the eigenvalues and the eigenvectors for the matri- ces in Exercises 19-24. (For the matrix in Exercise 24, one eigenvalue is λ = 1 + 5i.) 21. -2-1 52 23.1 -4 -1 2 3 13 3 In Exercises 25 and 26, solv 25. (1 + i)x +iy = 5+ (1 - i)x - 4y = -11 +
Linear algebra: please solve q21 and 22 handwritten don't send me the typed solution
Branch of mathematics concerned with mathematical structures that are closed under operations like addition and scalar multiplication. It is the study of linear combinations, vector spaces, lines and planes, and some mappings that are used to perform linear transformations. Linear algebra also includes vectors, matrices, and linear functions. It has many applications from mathematical physics to modern algebra and coding theory.
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