Question on n-dimensional space

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SUMMARY

In n-dimensional space, any n+1 vectors are linearly dependent, as established by the properties of vector spaces. The proof utilizes the concept of a basis consisting of n elements, demonstrating that if we express each vector as a linear combination of the basis vectors, the resulting homogeneous system of equations will have only the trivial solution. This confirms that the coefficients (α_i) must all equal zero, thereby proving linear dependence.

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  • Understanding of linear algebra concepts, specifically vector spaces and linear independence.
  • Familiarity with the definition and properties of a basis in n-dimensional space.
  • Knowledge of homogeneous systems of equations and their solutions.
  • Ability to perform algebraic manipulations involving vectors and coefficients.
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Homework Statement


Show that in n-dimensional space, any n+1 vectors are linearly dependent.

Ok... I actually know this is true, but I'm lost as to how to show it.


Homework Equations


Vectors are linearly independent if the only solution to [tex]\alpha_{1}|v_{1}>+\alpha_{2}|v_{2}>+...+\alpha_{n}|v_{n}>+\alpha_{n+1}|v_{n+1}>=|0>[/tex] is the trivial solution (where [tex]\alpha_{1}=...=\alpha_{n}=\alpha_{n+1}=0[/tex]).


The Attempt at a Solution


So far I'm only making a statement that each vector has n elements but there are n+1 unknowns, so if the vectors are in the vector space, then they must be linearly dependent.

Any suggestions to improve my answer would be greatly appreciated.
 
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Choose a basis for the n-dimensional space, what would the (n+1)th vector look like?

Mat
 
You need to use somewhere that your space is n-dimensional. What's your definition of an n-dimensional space

It's probably that there exists a basis of n elements, we need to use this somewhere. So let [tex]\{e_1,...,e_n\}[/tex] be a basis of your space. Since any basis spans the entire space, we can write every [tex]v_i[/tex] as

[tex]v_i=\sum_{j=1}^n{\beta_{i,j} e_i}[/tex]

Now, we assume that

[tex]\alpha_1 v_1+...+\alpha_{n+1} v_{n+1}=0[/tex]

This is equivalent to saying that

[tex]\alpha_1 \sum_{j=1}^n{\beta_{1,j} e_i}+...+\alpha_{n+1}\sum_{j=1}^n{\beta_{n+1,j} e_i}=0[/tex]

A little bit of algebra shows that

[tex]\left(\sum_{i=1}^{n+1}{\alpha_i \beta_{i,1}}\right)e_1+...+ \left(\sum_{i=1}^{n+1}{\alpha_i \beta_{i,n}}\right)e_n=0[/tex]

Now, we use that the basis is linearly independent. We get the following equations (with indeterminates the alpha_i

[tex]\left\{ \begin{array}{l}<br /> \alpha_1 \beta_{1,1}+...+\alpha_{n+1} \beta_{n+1,1}=0\\<br /> ...\\<br /> \alpha_1 \beta_{1,n}+...+\alpha_{n+1} \beta_{n+1,n}=0<br /> \end{array}\right.[/tex]

This is a homogoneous system of n equations and n+1 indeterminates. Such a system only has the zero solution. So every alpha_i must be zero.
 

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