Linear Algebra Coordinate Systems Flashcards

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Questions and Answers

If B is the standard basis for ℝn, then the B-coordinate vector of an x in ℝn is x itself.

True (A)

The correspondence [x]B↦x is called the coordinate mapping.

False (B)

In some cases, a plane in ℝ3 can be isomorphic to ℝ2.

True (A)

What is the uniqueness representation theorem?

<p>Let B = {b_1,..., b_n} be a basis for a vector space V. Then for each x in V, there exists a unique set of scalars c_1,..., c_n such that x = c_1b_1 +...+ c_nb_n.</p> Signup and view all the answers

What is an isomorphism?

<p>A one-to-one linear transformation from a vector space V onto a vector space W.</p> Signup and view all the answers

If x is in V and if B contains n vectors, then the B-coordinate vector of x is in R^n.

<p>True (A)</p> Signup and view all the answers

If P_B is the change of coordinates matrix, then [x]_B = P_Bx for x in V.

<p>False (B)</p> Signup and view all the answers

The vector spaces P_3 and R3 are isomorphic.

<p>False (B)</p> Signup and view all the answers

Show that S is a basis of V if every x in V has a unique representation as a linear combination of elements of S.

<p>The set S spans V and is linearly independent, thus forming a basis.</p> Signup and view all the answers

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Study Notes

Coordinate Systems and Vector Spaces

  • If B is the standard basis for ℝn, then the B-coordinate vector of any vector x in ℝn is equal to x itself, represented as [x]B = x.
  • The standard basis is made up of the columns of the n×n identity matrix, supporting the conclusion that [x]B = x_1e_1 + ... + x_ne_n = x.

Coordinate Mapping

  • The mapping that relates vectors to their B-coordinates is defined as x↦[x]B, not the other way around, which is a common misconception.

Isomorphic Spaces

  • A plane in ℝ3 that passes through the origin is isomorphic to ℝ2, indicating a structural equivalence in their dimensionality.

Uniqueness Representation Theorem

  • For any basis B = {b_1,..., b_n} of a vector space V, each vector x in V can be expressed uniquely as a linear combination of the basis vectors, defined as x = c_1b_1 + ... + c_nb_n.

Definition of Isomorphism

  • An isomorphism is precisely a one-to-one linear transformation that maps a vector space V onto another vector space W, ensuring both spaces have the same dimension and structure.

Coordinate Vector Representation

  • If a vector space V has a basis B consisting of n vectors, then the B-coordinate vector of any vector x in V will reside in ℝn.

Change of Coordinates Matrix Misunderstanding

  • The statement that the relationship [x]_B = P_Bx is false; this implies misunderstanding of how the change of coordinate matrix functions in a vector space context.

Isomorphic Relation of P_3 and ℝ3

  • The vector space P_3, which consists of polynomials of degree less than or equal to 3, is not isomorphic to ℝ3; instead, it is isomorphic to ℝ4, indicating a dimensional difference.

Basis Characterization of a Set S

  • A finite set S in vector space V, where every vector x has a unique representation as a linear combination of elements from S, confirms that S spans the vector space.
  • The linear independence of S is demonstrated by showing that the only linear combination that gives the zero vector is when all scalars c_1, ..., c_n are zero, affirming S is a basis for V.

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