What is the way of solving this question

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Homework Help Overview

The discussion revolves around a problem involving linear algebra concepts, specifically focusing on the independence of vectors and the determination of solution spaces in relation to parameterized matrices.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the conditions under which a set of vectors can form a basis for R3 and the implications of a matrix being of full rank. There are attempts to relate the solution space of one set of vectors to another, with questions about how to express vectors in terms of linear combinations. Some participants seek clarification on the definition of solution space and the types of solutions that can arise based on parameter values.

Discussion Status

The discussion is active, with participants sharing their thoughts on the problem and seeking clarification on various concepts. Some have made progress on specific parts of the problem, while others are questioning how to connect different parts of the problem together. There is a mix of interpretations being explored without a clear consensus yet.

Contextual Notes

Participants are discussing the implications of different values of k on the solution types (no solution, one solution, infinite solutions) and how these relate to the concept of solution space in the context of parameterized matrices.

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what is the general way of solving this question:

http://img116.imageshack.us/img116/1152/25587465vv2.gif

??
 
Last edited by a moderator:
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1. You want V(k) to be linearly independent so that it will form a basis for R3. So that means if you interpret them as row vectors in a matrix and perform row reduction, the end result should be a matrix whose rank is 3. So what does the matrix being of full rank imply? And what values of k are suitable such that the matrix is of full rank?

2. Firstly determine the solution space of U(k). Then span(U(k1)) \subseteq span(V(k2)) if \forall v \ \text{where v is a vector in basis of U(k1)} \ , v \in span(V(k2)). ie. try to express every vector in the basis of U(k1) as a linear combination of V(k2). Take note of when this is possible (ie. which values of k1 and k2 permit that).
 
i think i solved part 1.
but i don't know how to use part 1
in order to solve 2

http://img384.imageshack.us/img384/2546/55339538nk4.gif
 
Last edited by a moderator:
what is a solution space?

i can find k values for which i get one solution
infinite solution
or no solution

what is the definition of solution space in a parameter matrix?
 
how do i find the solution vectors of U(k)?
 
when you say
"Firstly determine the solution space of U(k). "

there are 3 types of solution?(depends on the values of K)
no solution
1 solution
infinite solution
 

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