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PROOF: Independent vectors and spanning vectors |
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| Mar13-08, 07:42 PM | #1 |
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PROOF: Independent vectors and spanning vectors
Proof:
1. why you need at least m vectors to span a space of dimension m. 2. If m vectors span an m-dimensional space, then they form a basis of the space. |
| Mar13-08, 08:30 PM | #2 |
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do you know how to do proofs?
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| Mar14-08, 06:41 AM | #3 |
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What does it mean to say that a vector space has finite dimension? (NOT just that "its dimension is finite. You have to have 'finite' dimension before you can define dimension.) What is the definition of "dimension n".
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| Mar14-08, 12:00 PM | #4 |
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PROOF: Independent vectors and spanning vectors
Try reading some definitions in your textbook.
And reading some proofs of some easy theorems. You'll see how to apply definitions to prove statements like you have. |
| Mar16-08, 01:18 PM | #5 |
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Recognitions:
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these are proved in my free linear algebra notes on my web page. the full details are not given, but i believe the proofs can be filled in without huge difficulty, if you try and understand the definitions.
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| Mar18-08, 03:10 PM | #6 |
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lets start from the definition that a basis consists only from
independant vectors now in order to span some space in "n" dimention you need to have "n" independant vectors which are a basis for this dimention. |
| Mar19-08, 06:11 AM | #7 |
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Find if these vectors are lineary independant :..
U=(1 2 9) . v=(2 3 5) . I know the condition of the lineary independant is au+bv=0 but how I can use this condition here .,.,., Please If you know the answer u can send it at >> ahmedtomyus@yahoo.com |
| Mar19-08, 03:50 PM | #8 |
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noooooooooooooo
dont use that formula stack them one upon the other as matrix and make a row reduction if you dond have a line of zeros in the resolt then they are independant |
| Mar20-08, 10:42 AM | #9 |
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Yes, if we have 10 vectors or 10000 then "row reduction" would be simpler but I believe it is better practice to use the basic definitions. |
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