Transition Matrix and Ordered Bases

In summary, the transition matrix from B to C, where B and C are ordered bases in ℝn, is given by the matrix multiplication of Q-1P, where P is the matrix whose columns are the vectors in B and Q is the matrix whose columns are the vectors in C.
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Homework Statement


Let B and C be ordered bases for ℝn. Let P be the matrix whose columns are the vectors in B and let Q be the matrix whose columns are the vectors in C. Prove that the transition matrix from B to C equals Q-1P.


Homework Equations


An ordered basis for a vector space V is an ordered n-tuple of vectors (v1,...,vn) such that the set (v1,...,vn) is a basis for V.


The Attempt at a Solution


I know that if B is the standard basis in ℝn, then the transition matrix from B to C is given by [1st vector in C 2nd vector in C ... nth vector in C]-1.

Also, if C is a standard basis in ℝn, then the transition matrix from B to C is given by [1st vector in B 2 vector in B ... nth vector in B].

Since I konw what the transition matrix is from B to C given different standard bases, I am having a difficult time relating this to teh columns of each.





Homework Equations





The Attempt at a Solution

 
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  • #2
Let B = {b1, b2, ... , bn} and C = {c1, c2, ... , cn} be ordered bases for ℝn. Let P be the matrix whose columns are the vectors in B and let Q be the matrix whose columns are the vectors in C. We then have that P = [b1 b2 ... bn] and Q = [c1 c2 ... cn]. The transition matrix from B to C is then given by the matrix multiplication of Q-1P. That is, Q-1P = [c1 c2 ... cn] -1 [b1 b2 ... bn] = [c1*b1 + c2*b2 + ... + cn*bn c1*b2 + c2*b2 + ... + cn*bn ... c1*bn + c2*bn + ... + cn*bn] = [c1*b1 c1*b2 ... c1*bn c2*b1 c2*b2 ... c2*bn ... cn*b1 cn*b2 ... cn*bn] Therefore, the transition matrix from B to C equals Q-1P.
 

Related to Transition Matrix and Ordered Bases

1. What is a transition matrix?

A transition matrix, also known as a change of basis matrix, is a square matrix that represents a linear transformation between two vector spaces with different bases. It maps the coordinates of a vector in one basis to the coordinates in another basis.

2. How is a transition matrix calculated?

To calculate a transition matrix, we first need to identify the original basis and the new basis. Then, we express the basis vectors of the new basis in terms of the original basis. These expressions will form the columns of the transition matrix, which is then multiplied with the vector in the original basis to obtain the vector in the new basis.

3. What is the significance of a transition matrix?

A transition matrix allows us to easily transform vectors between different bases, making it a useful tool in linear algebra. It is also used in various applications, such as computer graphics, data compression, and quantum mechanics.

4. What is an ordered basis?

An ordered basis is a set of linearly independent vectors in a vector space, listed in a specific order. The order of the basis vectors is important because it determines the coordinates of a vector relative to that basis.

5. Can a transition matrix be non-square?

No, a transition matrix must be a square matrix since it represents a linear transformation between vector spaces with the same dimension. If the vector spaces have different dimensions, a transition matrix cannot be defined.

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