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Determinants CHANGE OF BASIS ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS Example 1 Consider two bases ๐ฝ= {b1, b2} and C = {c1, c2} for a vector space V, such that ๐1=4๐1+๐2 and ๐2=โ6๐1+๐2 Suppose ๐ฅ=3๐1+๐2 That is, suppose ๐ฅ ๐ฝ= Find ๐ฅ ๐ถ. (1) (2) ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS Solution Apply the coordinate mapping determined by C to x in (2). Since the coordinate mapping is a linear transformation, ๐ฅ ๐ถ= 3b1+b2 ๐ถ = 3b1]๐ถ +[b2 ๐ถ We can write the vector equation as a matrix equation, using the vectors in the linear combination as the columns of a matrix: ๐ฅ ๐ถ= b1 ๐ถ b2 ๐ถ 3 1 (3) ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS This formula gives ๐ฅ ๐ถ, once we know the columns of the matrix. From (1), b1 ๐ถ= and b2 ๐ถ= โ6 1 Thus, (3) provides the solution: ๐ฅ ๐ถ= 4 โ = 6 4 The C-coordinates of x match those of the x in Fig. 1, as seen on the next slide. ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS Theorem 15: Let ๐ฝ= {b1, , bn} and C = {c1, , c2} for a vector space V . Then there is a unique n ร n matrix c ๐ ๐ฝ such that ๐ฅ ๐ถ= c ๐ ๐ฝ ๐ฅ ๐ฝ The columns of c ๐ ๐ฝ are the C-coordinate vectors of the vectors in the basis ๐ฝ. That is, c ๐ ๐ฝ =[ b1 ๐ถ b2 ๐ถ bn ๐ถ] (4) (5) ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS The matrix c ๐ ๐ฝ in Theorem 15 is called the change-of-coordinates matrix from ๐ฝ to C. Multiplication by c ๐ ๐ฝ converts ๐ฝ-coordinates into C-coordinates. Figure 2 below illustrates the change-of-coordinates equation (4). ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS The columns of c ๐ ๐ฝ are linearly independent because they are the coordinate vectors of the linearly independent set ๐ฝ. Since c ๐ ๐ฝ is square, it must be invertible, by the Invertible Matrix Theorem. Left-multiplying both sides of equation (4) by (c ๐ ๐ฝ)-1 yields (c ๐ ๐ฝ)-1 ๐ฅ ๐ถ = ๐ฅ ๐ฝ Thus (c ๐ ๐ฝ)-1 is the matrix that converts C-coordinates into ๐ฝโcoordinates. That is, (c ๐ ๐ฝ)-1 = ๐ฝ ๐ C (6) ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS IN โ ๐ If ๐ฝ= {b1, , bn} and โฐ is the standard basis {e1, , en} in โ ๐ , then b1 โฐ= b1,and likewise for the other vectors in ๐ฝ. In this case, โฐ ๐ ๐ฝ is thesame as the change-of-coordinates matrix P๐ฝ introduced in Section 4.4, namely, P๐ฝ= [ b1 b bn] To change coordinates between two nonstandard bases in โ ๐ ,we need Theorem 15. The theorem shows that to solve the change-of-basis problem, we need the coordinate vectors of the old basis relative to the new basis. ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS IN โ ๐ Example 2 Let b1= โ9 1 , b2= โ5 โ1 ,c1= 1 โ4 , c2= 3 โ5 and consider the bases for โ ๐ given by ๐ฝ= {b1, b2} and C = {c1, c2}. Find the change-of-coordinates matrix from ๐ฝ to C. Solution The matrix ๐ฝ ๐ C involves the C-coordinate vectors of b1 and b2. Let b1 ๐ถ= ๐ฅ1 ๐ฅ2 and b2 ๐ถ= ๐ฆ1 ๐ฆ2 .Then, by definition, [๐1 ๐2] ๐ฅ1 ๐ฅ2 = b1 and [๐1 ๐2] ๐ฆ1 ๐ฆ2 = b2 ยฉ 2016 Pearson Education, Inc.
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CHANGE OF BASIS IN โ ๐ To solve both systems simultaneously, augment the coefficient matrix with b1 and b2, and row reduce: ๐1 ๐2โฎ๐1 ๐2 = โ4 โ5 โฎ โ9 โ5 1 โ1 ~ โฎ 6 4 โ5 โ3 Thus b1 ๐ถ= 6 โ5 and b2 ๐ถ= 4 โ3 The desired change-of-coordinates matrix is therefore c ๐ ๐ฝ = ๐1 ๐ ๐2 ๐ = 6 4 โ5 โ3 (7) ยฉ 2016 Pearson Education, Inc.
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