09-240/Classnotes for Tuesday September 22: Difference between revisions
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{{09-240/Class Notes Warning}} |
{{09-240/Class Notes Warning}} |
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==Class notes for today== |
==Class notes for today== |
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<gallery> |
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Image:September 22 2009 lecture notes page 1.jpg|[[User:Yangjiay|Yangjiay]] - Page 1 |
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Image:September 22 2009 lecture notes page 2.jpg|Page 2 |
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Image:September 22 2009 lecture notes page 3.jpg|Page 3 |
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Image:September 22 2009 lecture notes page 4.jpg|Page 4 |
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Image:September 22 2009 lecture notes page 5.jpg|Page 5 |
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</gallery> |
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Vectors: |
Vectors: |
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# can be multiplied by a number (not another vector) |
# can be multiplied by a number (not another vector) |
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Let |
Let ''F'' be a field. A vector space ''V'' over the field ''F'' is a set ''V'' (of vectors) with a special element 0<sub>''V''</sub>, a binary operation + : ''V'' × ''V'' → ''V'', a binary operation • : ''F'' × ''V'' → ''V''. |
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{| style="border: solid 1px black" |
{| style="border: solid 1px black" |
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| Convention for today: |
| Convention for today: |
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: <math>x, y, z \in \mathbf V</math> |
: <math>x, y, z \in \mathbf V</math> |
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: <math>a, b, c \in |
: <math>a, b, c \in F</math> |
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Set <math>y = \begin{pmatrix} -a_1 \\ -a_2 \\ \vdots \\ -a_n \end{pmatrix}</math> and note |
Set <math>y = \begin{pmatrix} -a_1 \\ -a_2 \\ \vdots \\ -a_n \end{pmatrix}</math> and note |
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: <math>x + y = \begin{pmatrix} a_1 \\ a_2 \\ \vdots \\ a_n \end{pmatrix} + \begin{pmatrix} -a_1 \\ -a_2 \\ \vdots \\ -a_n \end{pmatrix} = \begin{pmatrix} a_1 + (-a_1) \\ a_2 + (-a_2) \\ \vdots \\ a_n + (-a_n) \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ \vdots \\ 0 \end{pmatrix} = 0_{F^n}</math> |
: <math>x + y = \begin{pmatrix} a_1 \\ a_2 \\ \vdots \\ a_n \end{pmatrix} + \begin{pmatrix} -a_1 \\ -a_2 \\ \vdots \\ -a_n \end{pmatrix} = \begin{pmatrix} a_1 + (-a_1) \\ a_2 + (-a_2) \\ \vdots \\ a_n + (-a_n) \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ \vdots \\ 0 \end{pmatrix} = 0_{F^n}</math> |
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=== Examples === |
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# <math>F^n \mbox{ for } n \in \mathbb N</math> |
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#: <math>F^n = \left\{ \begin{pmatrix} a_1 \\ a_2 \\ \vdots \\ a_n \end{pmatrix} : a_i \in F \right\}</math> |
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#: <math>\begin{pmatrix} a_1 \\ a_2 \\ \vdots \\ a_n \end{pmatrix} + \begin{pmatrix} b_1 \\ b_2 \\ \vdots \\ b_n \end{pmatrix} = \begin{pmatrix} a_1 + b_1 \\ a_2 + b_2 \\ \vdots \\ a_n + b_n \end{pmatrix}</math> |
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#: <math>a \begin{pmatrix} b_1 \\ b_2 \\ \vdots \\ b_n \end{pmatrix} = \begin{pmatrix} ab_1 \\ ab_2 \\ \vdots \\ ab_n \end{pmatrix}</math> |
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#: ... |
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# <math>\mathrm M_{m \times n}(F)</math> |
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#: ... |
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# <math>\mathcal F(S, F)</math> |
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# Polynomials |
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# <math>...</math> |
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=== Food for thought === |
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What is wrong with setting |
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<math> |
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\begin{pmatrix} |
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2 & 3 \\ |
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4 & 5 \\ |
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\end{pmatrix} \cdot \begin{pmatrix} |
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6 & 7 \\ |
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8 & 9 \\ |
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\end{pmatrix} = \begin{pmatrix} |
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2 \cdot 6 & 3 \cdot 7 \\ |
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4 \cdot 8 & 5 \cdot 9 \\ |
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\end{pmatrix} = \begin{pmatrix} |
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12 & 21 \\ |
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32 & 45 \\ |
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\end{pmatrix} ? |
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</math> |
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# Unnecessary for a V.S. |
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# This is useless, since it does not describe reality. For example, a mathematical theory with 46 dimensions can be perfect and mathematically elegant, but if the only solution to it is a universe in which life cannot form it is not reality, hence we have no use for it. |
Latest revision as of 16:49, 24 September 2009
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Some links
- The Complex Numbers by Computer.
- Dori Eldar's work on "mechanical computations": Machines as Calculating Devices and Computing the function the hard way.
- The "Dimensions" video on "Nombres complexes", is at http://dimensions-math.org/Dim_reg_AM.htm (and then go to "Dimensions_5".
WARNING: The notes below, written for students and by students, are provided "as is", with absolutely no warranty. They can not be assumed to be complete, correct, reliable or relevant. If you don't like them, don't read them. It is a bad idea to stop taking your own notes thinking that these notes can be a total replacement - there's nothing like one's own handwriting!
Visit this pages' history tab to see who added what and when.
Class notes for today
Yangjiay - Page 1
Vectors:
- can be added
- can be multiplied by a number (not another vector)
Let F be a field. A vector space V over the field F is a set V (of vectors) with a special element 0V, a binary operation + : V × V → V, a binary operation • : F × V → V.
Convention for today:
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VS1
VS2
VS3
VS4
VS5
VS6
VS7
VS8
Proof of VS4
Take an arbitrary
Set and note
Examples
-
- ...
-
- ...
- Polynomials
Food for thought
What is wrong with setting
- Unnecessary for a V.S.
- This is useless, since it does not describe reality. For example, a mathematical theory with 46 dimensions can be perfect and mathematically elegant, but if the only solution to it is a universe in which life cannot form it is not reality, hence we have no use for it.