Abstract Linear Algebra, Linear Functional

In summary, the conversation discusses how to define a non-zero linear functional T on a vector space V = C^3 with a scalar C. The problem is to find T((x,y,z)) using T((x,0,0)), T((0,y,0)), and T((0,0,z)) such that T((1,1,1)) = T((1,1,-1)) = 0. One possible solution is to assign values for T((1,0,0)), T((0,1,0)), and T((0,0,1)) that result in an output of 0 for the input vectors.
  • #1
chm
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Homework Statement


problem didn't state, but I assume let V be a vector space: V = C^3 and scalar is C


Homework Equations


Define a non-zero linear functional T on C^3 such that T ((1, 1, 1)) = T ((1, 1, −1)) = 0


The Attempt at a Solution


So let X1 = (1, 1, 1); X2 = (1, 1, -1);
It asks me to define a non zero linear functional, that means I need to define T(x) = α1T(x1) + α2T(X2) ?
Since T(X1) = T(X2) = 0 then T(X) = 0 then it's not the answer.
I'm stuck here. Can anyone give me a hint please? Thanks!
 
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  • #2
T((x,y,z))=T((x,0,0))+T((0,y,0))+T((0,0,z))=x*T((1,0,0))+y*T((0,1,0))+z*T((0,0,1)). Because it's a linear functional, yes? Now you just need to pick values for T((1,0,0)), T((0,1,0)) and T((0,0,1)) that give the same value of 0 for your input vectors. Many choices are possible, just pick one.
 

What is Abstract Linear Algebra?

Abstract Linear Algebra is a branch of mathematics that studies vector spaces and linear transformations between them. It is a generalization of traditional linear algebra, which focuses on solving systems of linear equations. Abstract Linear Algebra is concerned with the properties and structures of vector spaces rather than specific numerical solutions.

What is a Vector Space?

A vector space is a set of mathematical objects, called vectors, that can be added together and multiplied by scalars (numbers). These operations must follow certain properties, such as closure, associativity, and distributivity, to be considered a vector space. Examples of vector spaces include the space of real numbers, the space of polynomials, and the space of matrices.

What are Linear Transformations?

Linear transformations are functions that preserve the structure of a vector space. In other words, they map vectors from one vector space to another while maintaining the properties of the original space. Linear transformations can be represented by matrices and can be used to model real-world situations, such as scaling and rotation.

What are Linear Functionals?

Linear functionals are special types of linear transformations that map a vector space to its underlying field (usually the real numbers). They can be thought of as linear equations in the form of f(x) = ax + b, where a and b are constants. Linear functionals are commonly used in optimization problems and in the representation of vectors as linear combinations of basis vectors.

How is Abstract Linear Algebra used in other fields?

Abstract Linear Algebra has applications in many fields, including physics, engineering, computer science, and economics. It is used to model and solve problems involving systems of equations, optimization, and data analysis. In physics, vector spaces and linear transformations are used to represent physical quantities and their relationships. In computer science, linear algebra is used in computer graphics, machine learning, and data compression. In economics, linear algebra is used to solve optimization problems and to model economic systems.

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