The matrices and vectors listed in Eq. (3) are used in several of the exercises that follow. A = C = 여 3 1 4 7 26 U= 2140 6135 2420 36 E *=[28] 3 1 [3] B 121 743 601 V = D *-[88]; ] -3 1 [24] 3
The matrices and vectors listed in Eq. (3) are used in several of the exercises that follow. A = C = 여 3 1 4 7 26 U= 2140 6135 2420 36 E *=[28] 3 1 [3] B 121 743 601 V = D *-[88]; ] -3 1 [24] 3
The matrices and vectors listed in Eq. (3) are used in several of the exercises that follow. A = C = 여 3 1 4 7 26 U= 2140 6135 2420 36 E *=[28] 3 1 [3] B 121 743 601 V = D *-[88]; ] -3 1 [24] 3
Linear algebra: please solve q14, 17 and 20 handwritten. Values are attached
Transcribed Image Text:The matrices and vectors listed in Eq. (3) are used in
several of the exercises that follow.
3 1
4 7
26
A =
C =
2140
6135
2420
36
E =
--[23]
U=
1
[3]
B
121
743
601
V =
D
~-[¦}]
]
-3
1
[24]
3
Transcribed Image Text:10. A¹C
11. (FV)¹
In Exercises 13-25, calculate the scalars.
13. uv
16. v Fv
19. ||u||
22. ||uv||
25. ||(DE)u||
26. Let A and B be (2x2) matrices. Prove or fin
terexample for this statement: (AB)(A
14. v Fu
17. u u
20. ||DV||
23. || Full
12. (EF)
15. v Dv
18. vv
V
21. ||Au||
24. ||FV||
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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