ACOBI ITERATION How do Jacobi iterations work in linear algebra?

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Homework Help Overview

The discussion revolves around the properties of solutions to a linear system represented by the equation AX = B, where B is non-zero. Participants are exploring the implications of linear combinations of solutions X and Y, questioning the conditions under which such combinations remain valid solutions.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants are examining whether the sum of solutions is also a solution and discussing the conditions for linear combinations of solutions to hold true. There is confusion regarding the algebraic manipulation of these combinations and the implications of linear dependence.

Discussion Status

The discussion is ongoing, with participants providing insights and corrections to each other's algebraic interpretations. Some are questioning the existence of additional constraints or relationships between the solutions, while others are exploring the nature of the solution set as a vector space.

Contextual Notes

There is a lack of additional information regarding the relationship between X and Y, which is central to the discussion. Participants are considering the implications of having one of the constants in the linear combination equal to zero.

EvLer
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I am a bit confused with this problem:

Given AX = B, B != 0; X and Y satisfy the system. Find constants a and b such that aX + bY also satisfy the system.

The hint was: does (1/3)X+(2/3)Y work? Which would mean (1/3 + 2/3)(X + Y), which means X + Y. So, then I have X+Y as a potential solution, which is a solution? So, then does it mean that if a system has solutions, sum of those solutions is still a valid solution, but is any linear combination a solution? Then it would make a,b either such that a+b=1 or a,b any number.
Could someone explain, please?

Thank you very much.
 
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EvLer said:
The hint was: does (1/3)X+(2/3)Y work? Which would mean (1/3 + 2/3)(X + Y), which means X + Y.

No, you mean (1/3)(X + 2Y), (1/3 + 2/3)(X + Y) isn't the same as X/3 + 2Y/3.
 
Is there some extradata in the problem, like a relation between X and Y. Because if you don't have one you can prove that these constants exist
 
No, you mean (1/3)(X + 2Y), (1/3 + 2/3)(X + Y) isn't the same as X/3 + 2Y/3.
Ooops, sorry you are right...basic algebra...
I am still not clear if a system has several solutions, when combination of those solutions is a valid solution...if ever.

No, there is no extra info.
But maybe if one of (a,b) is zero then it's possible?
 
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If X is solution and Y is solution, then X=cY where c is a constant. then

c*AY=B
AY=B

or: ((c+1)/2)*AY=B

By linearity:

A(X/2)+A(Y/2)=B

then a=1/2 b=1/2
 
diegojco said:
If X is solution and Y is solution, then X=cY where c is a constant.
That's always true? Is solution set a vector space?

diegojco said:
or: ((c+1)/2)*AY=B
Where does that follow from?

Thanks.
 
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this condition is true if the X and the Y are lineary dependent, then there is unique solution, the X or the Y. and that's the problem. for that system, exist unique solution or infinite.

The expression comes from summing the eqs:

cAY+AY=2B
((c+1)/2)*AY=B
 
note the expression comes from summing the eqs i initially post. The eqs. i post latter is the reductions
 
Z = aX + bY

AZ = B
A(aX + bY) = B
AaX + AbY = B
a(Ax) + b(AY) = B
aB + bB = B
a + b = 1

--J
 

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