14-240/Tutorial-November11: Difference between revisions
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Recall: |
Recall: |
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Let <math>V</math> be a finite dimensional vector space over a field <math>F</math>, <math>B = {v_1, v_2, v_3, ..., v_n}</math> be an ordered basis of <math>V</math> and <math>v \in V</math>. Then <math>v = \displaystyle\sum_{i=1}^{n} c_iv_i</math> where <math>c_i \in F</math>. Then the '''coordinate representation''' of <math>v</math> is the column vector \begin{pmatrix}c_1\\c_2\\c_3\\.\\c_n\end{pmatrix}</math>. |
Let <math>V</math> be a finite dimensional vector space over a field <math>F</math>, <math>B = \{v_1, v_2, v_3, ..., v_n\}</math> be an ordered basis of <math>V</math> and <math>v \in V</math>. Then <math>v = \displaystyle\sum_{i=1}^{n} c_iv_i</math> where <math>c_i \in F</math>. Then the '''coordinate representation''' of <math>v</math> is the column vector <math> \begin{pmatrix}c_1\\c_2\\c_3\\...\\c_n\end{pmatrix}</math>. |
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Let <math>W</math> be a finite dimensional vector space over the same field <math>F</math> |
Let <math>W</math> be a finite dimensional vector space over the same field <math>F</math> and <math>K = \{v_1, v_2, v_3, ..., v_m\}</math> be an ordered basis of <math>W</math>. Define a linear transformation <math>T:V \to W</math>. Then <math>T(v_j) = \displaystyle\sum_{i=1}^{m} c_{ij}T(v_j)</math> where <math>c_{ij} \in F</math>. Then the '''matrix representation''' of <math>T</math> in the ordered bases <math>B, K</math> is the matrix <math>\begin{pmatrix}c_{11} & c_{12} & c_{13} & ... & c_{1n}\\c_{21} & c_{22} & c_{23} & ... & c_{2n}\\c_{31} & c_{32} & c_{33} & ... & c_{3n}\\c_{21} & c_{22} & c_{23} & ... & c_{2n}\\... & ... & ... & ...& ... \\c_{m1} & c_{m2} & c_{m3} & ... & c_{mn}\end{pmatrix}</math>. |
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Revision as of 19:51, 29 November 2014
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Boris
Coordinate and Matrix Representation Problems
Recall:
Let be a finite dimensional vector space over a field , be an ordered basis of and . Then where . Then the coordinate representation of is the column vector .
Let be a finite dimensional vector space over the same field and be an ordered basis of . Define a linear transformation . Then where . Then the matrix representation of in the ordered bases is the matrix .
