4.4 Exercises

20 points · 4 extra credit

Coordinate Systems

  1. 1. (2 pts) Let B={(1,2), (3,5)}B = \{(1,2),\,(3,5)\}, a basis for R2\mathbb{R}^2. Find the coordinate vector [x]B[\mathbf{x}]_B for x=(4,5)\mathbf{x} = (4, 5).

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  2. 2. (2 pts) Let B={(2,1), (−1,1)}B = \{(2,1),\,(-1,1)\}, a basis for R2\mathbb{R}^2. Given [x]B=(3,2)[\mathbf{x}]_B = (3, 2), find x\mathbf{x}.

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  3. 3. (3 pts) Let B={1,  1+t,  1+t+t2}B = \{1,\; 1+t,\; 1+t+t^2\}, a basis for P2P_2. Find [p]B[p]_B for p(t)=2+3t−t2p(t) = 2 + 3t - t^2.

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  4. 4. (3 pts) Let B={(1,0,1), (2,1,0), (0,1,1)}B = \{(1,0,1),\,(2,1,0),\,(0,1,1)\}, a basis for R3\mathbb{R}^3. Write down the change-of-coordinates matrix PBP_B, and use it to find x\mathbf{x} when [x]B=(1,−1,2)[\mathbf{x}]_B = (1, -1, 2).

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  5. 5. (3 pts) Let B={(2,1), (1,1)}B = \{(2,1),\,(1,1)\}, a basis for R2\mathbb{R}^2. Compute PB−1P_B^{-1} and use it to find [x]B[\mathbf{x}]_B for x=(3,2)\mathbf{x} = (3, 2).

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  6. 6. (2 pts) State whether each of the following is true or false, and justify each answer.

    (a) The coordinate vector [x]B[\mathbf{x}]_B depends on the order in which the basis vectors are listed.

    (b) If BB is a basis for Rn\mathbb{R}^n, then the change-of-coordinates matrix PBP_B is invertible.

    (c) For the standard basis EE of Rn\mathbb{R}^n, [x]E=x[\mathbf{x}]_E = \mathbf{x}.

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  7. 7. (3 pts) Let B={b1,…,bn}B = \{\mathbf{b}_1, \ldots, \mathbf{b}_n\} be a basis for a vector space VV. Prove that the coordinate mapping x↦[x]B\mathbf{x}\mapsto[\mathbf{x}]_B is one-to-one: if [x]B=[y]B[\mathbf{x}]_B = [\mathbf{y}]_B, then x=y\mathbf{x} = \mathbf{y}.

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  8. 8. (2 pts) Do b1=(1,3)\mathbf{b}_1 = (1,3) and b2=(2,6)\mathbf{b}_2 = (2,6) form a basis for R2\mathbb{R}^2? If not, explain why coordinates relative to {b1,b2}\{\mathbf{b}_1, \mathbf{b}_2\} are not well defined.

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  9. 9. (4 pts ••) Let B={b1,…,bn}B = \{\mathbf{b}_1, \ldots, \mathbf{b}_n\} be a basis for Rn\mathbb{R}^n. Prove that the coordinate mapping x↦[x]B\mathbf{x}\mapsto[\mathbf{x}]_B is a linear transformation and is onto Rn\mathbb{R}^n.

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