(n-1)-dimensional subspace is the null space of a linear functional

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The discussion confirms that an (n-1)-dimensional subspace N of an n-dimensional vector space V can be represented as the null space of a linear functional. It is established that if a basis {α_i} (1 ≤ i ≤ n-1) for N is selected, the linear functional f must satisfy f(α_i) = 0 for all basis vectors. Furthermore, the discussion outlines that any linear functional can be defined on the remaining basis vectors of V, ensuring that the null space corresponds precisely to the subspace N.

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Given that N is an (n-1)-dimensional subspace of an n-dimensional vector space V, show that N is the null space of a linear functional.

My thoughts:

suppose [tex]\alpha_i[/tex]([tex]1\leq i \leq n-1[/tex]) is the basis of N, the linear functional in question has to satisfy f([tex]\alpha_i[/tex])=0.

Am I correct?

Thanks
 
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Yes, that is already correct!
 
Given a basis for any vector space, any linear functional depends only upon its "action" on those basis vectors- that, is given f(v1)= x1, f(v2)= x2, ..., f(vn)= xn where the v's are the basis vectors and the a's are scalars, then any vector v can be written as v= a1v1+ a2v2+ ...+ anvn for some scalars, a1, a2, ..., an. Since f is linear, f(v)= a1f(v1)+ a2f(v2)+ ...+ anf(vn)=a1x1+ a2x2+ ... anxn.

Given any subspace U of vector space V, select a basis {u1, u2,...,um} for U and extend it to a basis for V. Define f(u1)= f(u2)= ...= f(um)= 0 and define f to be whatever nonzero values you like for the other basis vectors. Then the nullspace of f is exactly U.
 

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