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From: Mc Lauren Series on 3 Sep 2009 15:03 In a set of vectors, there can be a maximum of two 2-D vectors which are linearly independent. Any set of three or more 2-D vectors are linearly dependent. Similalry, there can be a maximum of three 3-D vectors which are linearly independent. Can this be generalized for N-D vectors that there can be a maximum of N N-D vectors which are linearly independent?
From: Robert Israel on 3 Sep 2009 15:06 Mc Lauren Series <mclaurenseries(a)gmail.com> writes: > In a set of vectors, there can be a maximum of two 2-D vectors which > are linearly independent. Any set of three or more 2-D vectors are > linearly dependent. > > Similalry, there can be a maximum of three 3-D vectors which are > linearly independent. Can this be generalized for N-D vectors that > there can be a maximum of N N-D vectors which are linearly > independent? Look up the definition of "dimension". -- Robert Israel israel(a)math.MyUniversitysInitials.ca Department of Mathematics http://www.math.ubc.ca/~israel University of British Columbia Vancouver, BC, Canada
From: Mc Lauren Series on 3 Sep 2009 15:15 On Sep 4, 12:06 am, Robert Israel <isr...(a)math.MyUniversitysInitials.ca> wrote: > Mc Lauren Series <mclaurenser...(a)gmail.com> writes: > > > In a set of vectors, there can be a maximum of two 2-D vectors which > > are linearly independent. Any set of three or more 2-D vectors are > > linearly dependent. > > > Similalry, there can be a maximum of three 3-D vectors which are > > linearly independent. Can this be generalized for N-D vectors that > > there can be a maximum of N N-D vectors which are linearly > > independent? > > Look up the definition of "dimension". > -- > Robert Israel isr...(a)math.MyUniversitysInitials.ca > Department of Mathematics http://www.math.ubc.ca/~israel > University of British Columbia Vancouver, BC, Canada Here, I am using it in the sense of components. By 2-D vectors, I mean vectors having two components. Sorry for the confusion. What is the answer to my question?
From: Tonico on 3 Sep 2009 15:26 On Sep 3, 10:15 pm, Mc Lauren Series <mclaurenser...(a)gmail.com> wrote: > On Sep 4, 12:06 am, Robert Israel > > > > > > <isr...(a)math.MyUniversitysInitials.ca> wrote: > > Mc Lauren Series <mclaurenser...(a)gmail.com> writes: > > > > In a set of vectors, there can be a maximum of two 2-D vectors which > > > are linearly independent. Any set of three or more 2-D vectors are > > > linearly dependent. > > > > Similalry, there can be a maximum of three 3-D vectors which are > > > linearly independent. Can this be generalized for N-D vectors that > > > there can be a maximum of N N-D vectors which are linearly > > > independent? > > > Look up the definition of "dimension". > > -- > > Robert Israel isr...(a)math.MyUniversitysInitials.ca > > Department of Mathematics http://www.math.ubc.ca/~israel > > University of British Columbia Vancouver, BC, Canada > > Here, I am using it in the sense of components. By 2-D vectors, I mean > vectors having two components. Sorry for the confusion. What is the > answer to my question?- The answer is yes, as long as you're talking of vectors with components from a field, like the reals of complex. The appropiate context though is what Robert I. already told you: look up "dimension of vector space", in linear algebra books (or in google, of course). Tonio
From: Robert Israel on 3 Sep 2009 19:07 Mc Lauren Series <mclaurenseries(a)gmail.com> writes: > On Sep 4, 12:06=A0am, Robert Israel > <isr...(a)math.MyUniversitysInitials.ca> wrote: > > Mc Lauren Series <mclaurenser...(a)gmail.com> writes: > > > > > In a set of vectors, there can be a maximum of two 2-D vectors which > > > are linearly independent. Any set of three or more 2-D vectors are > > > linearly dependent. > > > > > Similalry, there can be a maximum of three 3-D vectors which are > > > linearly independent. Can this be generalized for N-D vectors that > > > there can be a maximum of N N-D vectors which are linearly > > > independent? > > > > Look up the definition of "dimension". > > -- > > Robert Israel =A0 =A0 =A0 =A0 =A0 =A0 > > =A0isr...(a)math.MyUniversitysInitial= > s.ca > > Department of Mathematics =A0 =A0 =A0 =A0http://www.math.ubc.ca/~israel > > University of British Columbia =A0 =A0 =A0 =A0 =A0 =A0Vancouver, BC, > > Cana= > da > > Here, I am using it in the sense of components. By 2-D vectors, I mean > vectors having two components. Sorry for the confusion. What is the > answer to my question? I mean dimension in the sense of vector spaces. Once you understand that, and see how to find the dimension of R^N, you will have the answer to your question. -- Robert Israel israel(a)math.MyUniversitysInitials.ca Department of Mathematics http://www.math.ubc.ca/~israel University of British Columbia Vancouver, BC, Canada
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