Determinants, and Interpretation Using Areas

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Suppose that we have the following 2×22\times 2 matrix: A=[abcd]A=\left[ \begin{array}{ccc} a & b \\ c & d \end{array} \right] The determinant of AA, denoted det⁡(A)\det(A), is calculated as follows: det⁡(A)=∣abcd∣=ad−bc\det(A)=\left| \begin{array}{ccc} a & b \\ c & d \end{array} \right|=ad-bc The determinant is an extremely important property of a matrix and has many interesting applications, which will not be discussed here but rather on pages where they will hold more relevance.

The product of two square matrices has a determinant equal to the product of the determinants of the two matrices. Thus, while matrix multiplication is not commutative, determinant multiplication certainly is: det⁡(AB)=det⁡(A)det⁡(B)\det(AB)=\det(A)\det(B) We will only prove this for 2×22\times 2 matrices here. To prove this, denote AA and BB as follows: A=[a1a2a3a4]A=\left[ \begin{array}{ccc} a_1 & a_2 \\ a_3 & a_4 \end{array} \right] B=[b1b2b3b4]B=\left[ \begin{array}{ccc} b_1 & b_2 \\ b_3 & b_4 \end{array} \right] Now, calculate the products ABAB and BABA: AB=[a1b1+a2b3a1b2+a2b4a3b1+a4b3a3b2+a4b4]AB=\left[ \begin{array}{ccc} a_1b_1+a_2b_3 & a_1b_2+a_2b_4 \\ a_3b_1+a_4b_3 & a_3b_2+a_4b_4 \end{array} \right] BA=[a1b1+a3b2a2b1+a4b2a1b3+a3b4a2b3+a4b4]BA=\left[ \begin{array}{ccc} a_1b_1+a_3b_2 & a_2b_1+a_4b_2 \\ a_1b_3+a_3b_4 & a_2b_3+a_4b_4 \end{array} \right] Now, calculate all of the desired determinants: det⁡(A)=a1a4−a2a3\det(A)=a_1a_4-a_2a_3 det⁡(B)=b1b4−b2b3\det(B)=b_1b_4-b_2b_3 det⁡(AB)=(a1b1+a2b3)(a3b2+a4b4)−(a1b2+a2b4)(a3b1+a4b3)\det(AB)=(a_1b_1+a_2b_3)(a_3b_2+a_4b_4)-(a_1b_2+a_2b_4)(a_3b_1+a_4b_3) det⁡(BA)=(a1b1+a3b2)(a2b3+a4b4)−(a2b1+a4b2)(a1b3+a3b4)\det(BA)=(a_1b_1+a_3b_2)(a_2b_3+a_4b_4)-(a_2b_1+a_4b_2)(a_1b_3+a_3b_4) Calculating the product of the determinants of AA and BB, det⁡(A)det⁡(B)=(a1a4−a2a3)(b1b4−b2b3)\det(A)\det(B)=(a_1a_4-a_2a_3)(b_1b_4-b_2b_3) Some straightforward (though somewhat tedious) algebra gives us our desired result.

Using this fact, we can derive a very important corollary, often recognized on its own: AA−1=A−1A=IAA^{-1}=A^{-1}A=I det⁡(I)=det⁡(A)det⁡(A−1)\det(I)=\det(A)\det(A^{-1}) 1=det⁡(A)det⁡(A−1)1=\det(A)\det(A^{-1}) det⁡(A−1)=1det⁡(A)\det(A^{-1})=\frac{1}{\det(A)} This theorem, along with the corollary we just showed above, will serve a great purpose in many of the applications of the determinant.

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Here is a worksheet to practice finding 2x22x2 determinants: http://cdn.kutasoftware.com/Worksheets/PreAlg/Translations of Shapes.pdf

Since there is no explanation posted yet, I will do question 1 here as an example. Call the element in the top left corner (00) aa, the element in the top right corner (−4-4) bb, the element in the bottom left corner (−6-6) cc, and the element in the bottom right corner (−2-2) dd. So the determinant is ad−bc=0(−2)−(−4)(−6)=−24ad - bc = 0(-2) - (-4)(-6) = {-24}.

Type a concept, like “slope” or “photosynthesis”.

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