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Vector Spaces Laboratory Exercise for Math 300 - Part 3 - Prof. Janusz Konieczny, Lab Reports of Linear Algebra

A laboratory exercise for math 300 students, focusing on vector spaces. The exercise includes two parts. In the first part, students are asked to prove that a certain set of real numbers forms a vector space. In the second part, students analyze a set of 2x2 matrices to determine if it is linearly independent and if it spans the vector space of all 2x2 matrices.

Typology: Lab Reports

2009/2010

Uploaded on 02/24/2010

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Math 300
Laboratory 3 โ€” Vector Spaces
Due Tuesday, October 27, 2009 โ€“ 10 points
Names:
You may use books and notes in doing this lab but please work with your partner only. Each group turns
in one solution.
1. (5 points) Let Vbe the set of all pairs .x; y/ of real numbers such that y>0. For example,
.2; 3/; .๎˜1; 5/ 2Vbut .4; ๎˜1/; .0; 0/ โ€ฆV. Define addition and scalar multiplication for Vas
follows:
.x1;y
1/C.x2;y
2/D.x1Cx2;y
1y2/and c.x; y/ D.cx; y c/: (1)
For example, .2; 3/ C.๎˜5; 4/ D.2 C.๎˜5/; 3 ๎˜‚4/ D.๎˜3; 12/,2.5; 3/ D.2 ๎˜‚3; 32/D.6; 9/, and
๎˜2.0; 4/ D.๎˜2๎˜‚0; 4๎˜2/D.0; 1
16 /. Prove that Vwith the operations defined in (1) is a vector
space.
When checking the axioms, you may use the familiar properties of real numbers from high school
algebra, for example, xy Dyx and .xy/cDxcyc.
2. (5 points) Let M2;2 be the vector space of 2๎˜ƒ2matrices. Consider the following set Sof vectors
in M2;2.
SD(๎˜13
2
21
๎˜‚;๎˜๎˜12
11
3๎˜‚;"122
3
7
6๎˜265
9#;"2
31
1
2๎˜4#):
(a) Is Slinearly independent? Justify your answer. If Sis linearly dependent, express some
vector in Sas a linear combination of the other vectors in S.
(b) Is Sa spanning set for M2;2? Justify your answer.
1

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Math 300

Laboratory 3 โ€” Vector Spaces

Due Tuesday, October 27, 2009 โ€“ 10 points

Names:

You may use books and notes in doing this lab but please work with your partner only. Each group turns in one solution.

  1. (5 points) Let V be the set of all pairs .x; y/ of real numbers such that y > 0. For example, .2; 3/; .1; 5/ 2 V but .4; 1/; .0; 0/ โ€ฆ V. Define addition and scalar multiplication for V as follows: .x 1 ; y 1 / C .x 2 ; y 2 / D .x 1 C x 2 ; y 1 y 2 / and c.x; y/ D .cx; yc^ /: (1) For example, .2; 3/ C .5; 4/ D .2 C .5/; 3  4/ D .3; 12/, 2.5; 3/ D .2  3; 3^2 / D .6; 9/, and 2.0; 4/ D . 2  0; 4^2 /^ D^ .0;^161 /. Prove that^ V^ with the operations defined in (1) is a vector space. When checking the axioms, you may use the familiar properties of real numbers from high school algebra, for example, xy D yx and .xy/c^ D xc^ yc^.
  2. (5 points) Let M2;2 be the vector space of 2  2 matrices. Consider the following set S of vectors in M2;.

S D

7 6 ^

265 9

1 2 ^4

(a) Is S linearly independent? Justify your answer. If S is linearly dependent, express some vector in S as a linear combination of the other vectors in S. (b) Is S a spanning set for M2;2? Justify your answer.