X and y lin independent in Rn A=xy^T+yx^T

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SUMMARY

The discussion focuses on proving properties of the matrix A defined as A = xy^T + yx^T, where x and y are linearly independent vectors in R^n. The three main tasks are to demonstrate that A is symmetric, that the null space N(A) is the orthogonal complement of the span of x and y (S^⊥), and that the rank of A is 2. The conclusions drawn confirm that A is symmetric, N(A) = S^⊥, and the rank of A equals 2 due to the linear independence of x and y.

PREREQUISITES
  • Understanding of linear algebra concepts such as linear independence and vector spaces.
  • Familiarity with matrix operations, specifically transposition and addition.
  • Knowledge of null space and rank of matrices.
  • Proficiency in using R^n notation and concepts related to orthogonal complements.
NEXT STEPS
  • Study the properties of symmetric matrices in linear algebra.
  • Learn about the relationship between null space and column space, specifically N(A) = C(A^T)^⊥.
  • Explore the concept of rank and its implications in matrix theory.
  • Investigate the geometric interpretation of linear independence in R^n.
USEFUL FOR

This discussion is beneficial for students and professionals in mathematics, particularly those studying linear algebra, matrix theory, and vector spaces. It is especially useful for anyone working on problems involving linear independence and matrix properties in R^n.

Keesjan
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Homework Statement


Well as the title describes, x and y linear independent in R^n S is a subspace in Rn spanned by x,y i.e S= span(x,y)
define the matrix A as A=xy^T+yx^T

This is actually a 3 part question

1 show that A is symmetrical
2 show that N(A)=S(Perpendicular)
3 show that the rank of A is 2

Homework Equations



The Attempt at a Solution



I think i got the first one
A^T= (xy^T+yx^T)^T = (y^T)^Tx^T+(x^T)^Ty^T= yx^T+xy^T=A QED

Dimension is abbreviated as Dim
Rowspace abbreviated as R(*)
Column space will be abbreviated as C(*)
and perpendicular as perp

Now the second one i think has something to do with the N(A)=C(A^T)^perp.
And because A^T=A now N(A)=C(A)^perp
Span of the DimC(A) is span of S because x,y are linear independent?
And if DimC(A)=Span(x,y) then DimC(A)=S

So filling it all in N(A)=S^perp QED??

is this correct?

Last question

Since x and y are linear independent they form the basis of A. So DimC(A)=2
And since the DimC(A)=DimR(A) and the rank=DimR so Rank(A)=2

Any feed back would be nice.

Peace
 
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To show that N(A)= S(perpendicular) You need to show that A(u)= 0 (so u in in N(A), the null space of A) if and only if <u, v>= 0 for all v in S.
 
HallsofIvy said:
To show that N(A)= S(perpendicular) You need to show that A(u)= 0 (so u in in N(A), the null space of A) if and only if <u, v>= 0 for all v in S.

What do you mean with <u,v>=0 for all v in S
Maby i don't under stand the notation but could you explain a little more?

Thanks
 

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