間違いしかありません.コメントにてご指摘いただければ幸いです(気が付いた点を特に断りなく頻繁に書き直していますのでご注意ください).

ラベル 多角形 の投稿を表示しています。 すべての投稿を表示
ラベル 多角形 の投稿を表示しています。 すべての投稿を表示

多角形D上の点から任意の点への距離の平均値 (グリーンの定理を用いて面積分を周回積分にして求める)

グリーンの定理(Green's theorem)

閉曲線\(C\)で囲まれた領域\(D\)を考える場合,\(C^1\)級凾数\(P(x, y), Q(x, y)\)について以下が成り立つ。 $$ \begin{eqnarray} \iint_D \left(\frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}\right)\mathrm{d}x\mathrm{d}y &=& \oint_C P(x, y)\mathrm{d}x+Q(x,y)\mathrm{d}y \end{eqnarray} $$

面積分を周回積分へ変形し,区間毎の積分に展開する

点\((x,y)\)から点\((p,q)\)までの距離は $$ \begin{eqnarray} r(x, y; p, q)&=&\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} \end{eqnarray} $$ であり,多角形D上の点\(x,y\)から任意の点\(p,q\)への距離の平均値\(\bar{r}\)は, $$ \begin{eqnarray} \bar{r}&=&\iint_D \rho(x,y)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\;\mathrm{d}x\mathrm{d}y \\&=&\iint_D \frac{1}{A}\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\;\mathrm{d}x\mathrm{d}y \;\cdots\;密度は均一と仮定: \rho(x,y)=\frac{1}{A}\;(定数, A:Dの面積) \\&=&\frac{1}{A}\iint_D \sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\;\mathrm{d}x\mathrm{d}y \;\cdots\;\int_XcA(x)\mathrm{d}x=c\int_XA(x)\mathrm{d}x \end{eqnarray} $$ である.

これをグリーンの定理の式で満たすために例えば $$ \begin{eqnarray} Q(x, y)&=&\int \sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\;\mathrm{d}x \\P(x, y)&=&0 \end{eqnarray} $$ とおく.これは $$ \begin{eqnarray} \frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}&=&\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}-0 \\&=&\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} \end{eqnarray} $$ となり,グリーンの定理の面積分側の被積分凾数を表現できている.
この\(P,Q\)を用いて周回積分側の 被積分凾数を求めると以下のようになる. $$ \begin{eqnarray} \bar{r}&=&\frac{1}{A}\iint_D \sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\;\mathrm{d}x\mathrm{d}y \\&=&\frac{1}{A}\iint_D \left(\frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}\right)\mathrm{d}x\mathrm{d}y \\&=&\frac{1}{A}\oint_C P(x, y)\mathrm{d}x+Q(x,y)\mathrm{d}y \\&=&\frac{1}{A}\oint_C 0\mathrm{d}x+\left(\int_D \sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\;\mathrm{d}x\right)\mathrm{d}y \\&=&\frac{1}{A}\oint_C \left(\int \sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\;\mathrm{d}x\right)\mathrm{d}y \\&=&\frac{1}{A}\oint_C \left(\int \sqrt{u^2+v^2}\;\mathrm{d}u\right)\mathrm{d}y \;\cdots\;u=x-p, v=y-q \\&=&\frac{1}{A}\oint_C \frac{1}{2}\left\{u\sqrt{u^2+v^2}+v^2\ln{\left|u+\sqrt{u^2+v^2}\right|}\right\}\mathrm{d}y \;\cdots\;\href{https://shikitenkai.blogspot.com/2020/07/x2a2.html}{\int \sqrt{x^2+a^2}\;\mathrm{d}x=\frac{1}{2}\left\{x\sqrt{x^2+a^2}+a^2\ln{\left|x+\sqrt{x^2+a^2}\right|}\right\} + 積分定数} \\&=&\frac{1}{2A}\oint_C \left\{\left(x-p\right)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} +\left(y-q\right)^2\ln{\left|\left(x-p\right)+\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\right|}\right\}\mathrm{d}y \end{eqnarray} $$ ここで周回積分を多角形として考える.多角形の各頂点の列を以下のように与えるとする. $$ \begin{eqnarray} (x_0, y_0), (x_1, y_1),(x_2, y_2), \cdots, (x_n, y_n)=(x_0, y_0) \end{eqnarray} $$ 周回積分を多角形の区間ごとに分割し,区間毎の積分の和として以下のようになる. $$ \begin{eqnarray} \bar{r}&=&\frac{1}{2A}\oint_C \left\{\left(x-p\right)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} +\left(y-q\right)^2\ln{\left|\left(x-p\right)+\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\right|}\right\}\mathrm{d}y \\&=&\frac{1}{2A} \sum_{k=1}^n \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left\{\left(x-p\right)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} +\left(y-q\right)^2\ln{\left|\left(x-p\right)+\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\right|}\right\}\mathrm{d}y \\&=&\frac{1}{2A} \sum_{k=1}^n\left\{ \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(x-p\right)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} \;\mathrm{d}y +\int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(y-q\right)^2\ln{\left|\left(x-p\right)+\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\right|} \;\mathrm{d}y \right\} \\&=&\frac{1}{2A} \sum_{k=1}^n \left\{I_{1k}+ I_{2k}\right\} \\&&\;\cdots\;I_{1k}=\int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(x-p\right)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} \;\mathrm{d}y \\&&\;\cdots\;I_{2k}=\int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(y-q\right)^2\ln{\left|\left(x-p\right)+\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\right|} \;\mathrm{d}y \end{eqnarray} $$

多角形の頂点間線分(辺)に重なる直線の式を求める

多角形の各頂点において今の頂点\((x_k, y_k)\)とその前の頂点\((x_{k-1}, y_{k-1})\)とを通る直線の式は以下のように求められる. $$ \begin{eqnarray} y-y_{k-1}&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}\left(x-x_{k-1}\right) \;\cdots\;傾き\thetaの直線における原点を,点(p,q)へ移動した式と同じ.(y-q)=\theta(x-p) \\x-x_{k-1}&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right) \end{eqnarray} $$ $$ \begin{eqnarray} \\x-x_{k-1}&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right) \\x&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right)+x_{k-1} \\x&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_k-x_{k-1}}{y_k-y_{k-1}}(-y_{k-1})+x_{k-1} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{\left(x_k-x_{k-1}\right)(-y_{k-1})+x_{k-1}\left(y_k-y_{k-1}\right)}{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y +\frac{ -x_ky_{k-1} +x_{k-1}y_{k-1} +x_{k-1}y_k -x_{k-1}y_{k-1} }{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{-x_ky_{k-1}+x_{k-1}y_k}{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_{k-1}y_k-x_ky_{k-1}}{y_k-y_{k-1}} \\&=&\epsilon_k y+\zeta_k \end{eqnarray} $$

区間毎の積分より距離の平均値\(\bar{r}\)を求める 第一項\(I_{1k}\)

$$ \begin{eqnarray} I_{1k}&=&\int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(x-p\right)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} \;\mathrm{d}y \\&=&I_{1k}(y_k)-I_{1k}(y_{k-1}) \\I_{1k}(y)&=&\int \left(\left(\epsilon_k y+\zeta_k\right)-p\right) \sqrt{\left(\left(\epsilon_k y+\zeta_k\right)-p\right)^2+\left(y-q\right)^2} \;\mathrm{d}y \;\cdots\;x=\epsilon_k y+\zeta_k \\&=&\int \left(\left(\epsilon_k y+\zeta_k\right)-p\right) \sqrt{\left(\left(\epsilon_k y+\zeta_k\right)^2-2p\left(\epsilon_k y+\zeta_k\right)+p^2\right)+\left(y^2-2qy+q^2\right)} \;\mathrm{d}y \\&=&\int \left(\epsilon_k y+\zeta_k-p\right) \sqrt{\left(\epsilon_k^2 y^2+2\epsilon_k\zeta_k y+\zeta_k^2\right)-2p\epsilon_k y-2p\zeta_k+p^2+y^2-2qy+q^2} \;\mathrm{d}y \\&=&\int \left(\epsilon_k y+\zeta_k-p\right) \sqrt{\epsilon_k^2 y^2+2\epsilon_k\zeta_k y+\zeta_k^2-2p\epsilon_k y-2p\zeta_k+p^2+y^2-2qy+q^2} \;\mathrm{d}y \\&=&\int \left(\epsilon_k y+\zeta_k-p\right) \sqrt{\left(\epsilon_k^2 +1 \right)y^2+2\left\{\epsilon_k\left(\zeta_k-p\right)-q\right\}y +\left(\zeta_k-p\right)^2+q^2} \;\mathrm{d}y \\&=&\int \left(\epsilon_k y+\zeta_k-p\right)\sqrt{\alpha_k y^2+\beta_k y +\gamma_k} \;\mathrm{d}y \;\cdots\;\alpha_k=\epsilon_k^2 +1,\;\beta_k=2\left\{\epsilon_k\left(\zeta_k-p\right)-q\right\},\;\gamma_k=\left(\zeta_k-p\right)^2+q^2 \\&=& \int \epsilon_k y\sqrt{\alpha_k y^2+\beta_k y +\gamma_k} \;\mathrm{d}y + \int \left(\zeta_k-p\right) \sqrt{\alpha_k y^2+\beta_k y +\gamma_k} \;\mathrm{d}y \\&=& \epsilon_k \int y\sqrt{\alpha_k y^2+\beta_k y +\gamma_k} \;\mathrm{d}y + \left(\zeta_k-p\right) \int \sqrt{\alpha_k y^2+\beta_k y +\gamma_k} \;\mathrm{d}y \\&=& \epsilon_k \int y\sqrt{\alpha_k y^2+\beta_k y +\gamma_k} \;\mathrm{d}y + \left(\zeta_k-p\right) \int \sqrt{\alpha_k y^2+\beta_k y +\gamma_k} \;\mathrm{d}y \\&=& \epsilon_k \left\{ \frac{1}{3\alpha_k}\left(\alpha_k y^2+\beta_k y+\gamma_k \right)^{\frac{3}{2}} -\frac{\beta_k \left(2\alpha_k y+\beta_k \right)}{8\alpha_k^{2}}\sqrt{\alpha_k y^2+\beta_k y+\gamma_k} +\frac{\beta_k \left(\beta_k^2-4\alpha_k\gamma_k\right)}{16\alpha_k^{\frac{5}{2}}}\ln{ \left|\left(2\alpha_k y+\beta_k \right)+2\sqrt{\alpha_k\left(\alpha_k y^2+\beta_k y+\gamma_k\right)}\right| } +C_0 \right\} \\&&+ \left(\zeta_k-p\right) \left\{ \frac{2\alpha_k y+\beta_k}{4\alpha_k}\sqrt{\alpha_k y^2+\beta_k y+\gamma_k} +\frac{4\alpha_k \gamma_k-\beta_k^2}{8\alpha_k^{\frac{3}{2}}}\ln{ \left|\left(2\alpha_k y+\beta_k\right)+2\sqrt{\alpha_k\left(\alpha_k y^2+\beta_k y+\gamma_k\right)}\right| } +C_1 \right\} \\&&\;\cdots\;\href{https://shikitenkai.blogspot.com/2020/07/xa-x2b-x-c.html}{\int x\sqrt{a x^2+b x +c} \;\mathrm{d}x= \frac{1}{3a}\left(ax^2+bx+c\right)^{\frac{3}{2}} -\frac{b\left(2ax+b\right)}{8a^{2}}\sqrt{\left(ax^2+bx+c\right)} +\frac{b\left(b^2-4ac\right)}{16a^{\frac{5}{2}}}\ln{ \left|\left(2ax+b\right)+2\sqrt{a\left(ax^2+bx+c\right)}\right| } +C_0\;(C_0:積分定数)} \\&&\;\cdots\;\href{https://shikitenkai.blogspot.com/2020/07/a-x2b-x-c.html}{\int \sqrt{a x^2+b x +c} \;\mathrm{d}x= \frac{2ax+b}{4a}\sqrt{\left(ax^2+bx+c\right)} +\frac{4ac-b^2}{8a^{\frac{3}{2}}}\ln{ \left|\left(2ax+b\right)+2\sqrt{a\left(ax^2+bx+c\right)}\right| } +C_1\;(C_1:積分定数)} \\&=& \epsilon_k \left\{ \frac{1}{3\alpha_k}\left(\alpha_k y^2+\beta_k y+\gamma_k \right)^{\frac{3}{2}} -\frac{\beta_k \left(2\alpha_k y+\beta_k \right)}{8\alpha_k^{2}}\sqrt{\alpha_k y^2+\beta_k y+\gamma_k} +\frac{\beta_k \left(\beta_k^2-4\alpha_k\gamma_k\right)}{16\alpha_k^{\frac{5}{2}}}\ln{ \left|\left(2\alpha_k y+\beta_k \right)+2\sqrt{\alpha_k\left(\alpha_k y^2+\beta_k y+\gamma_k\right)}\right| } \right\} \\&&+ \left(\zeta_k-p\right) \left\{ \frac{2\alpha_k y+\beta_k}{4\alpha_k}\sqrt{\alpha_k y^2+\beta_k y+\gamma_k} +\frac{4\alpha_k \gamma_k-\beta_k^2}{8\alpha_k^{\frac{3}{2}}}\ln{ \left|\left(2\alpha_k y+\beta_k\right)+2\sqrt{\alpha_k\left(\alpha_k y^2+\beta_k y+\gamma_k\right)}\right| } \right\} +\epsilon_k C_0 +\left(\zeta_k-p\right) C_1 \\&=& \epsilon_k \left\{ \frac{1}{3\alpha_k}\left(\alpha_k y^2+\beta_k y+\gamma_k \right)^{\frac{3}{2}} -\frac{\beta_k \left(2\alpha_k y+\beta_k \right)}{8\alpha_k^{2}}\sqrt{\alpha_k y^2+\beta_k y+\gamma_k} +\frac{\beta_k \left(\beta_k^2-4\alpha_k\gamma_k\right)}{16\alpha_k^{\frac{5}{2}}}\ln{ \left|\left(2\alpha_k y+\beta_k \right)+2\sqrt{\alpha_k\left(\alpha_k y^2+\beta_k y+\gamma_k\right)}\right| } \right\} \\&&+ \left(\zeta_k-p\right) \left\{ \frac{2\alpha_k y+\beta_k}{4\alpha_k}\sqrt{\alpha_k y^2+\beta_k y+\gamma_k} +\frac{4\alpha_k \gamma_k-\beta_k^2}{8\alpha_k^{\frac{3}{2}}}\ln{ \left|\left(2\alpha_k y+\beta_k\right)+2\sqrt{\alpha_k\left(\alpha_k y^2+\beta_k y+\gamma_k\right)}\right| } \right\} + C \;\cdots\;C=\epsilon_k C_0+\left(\zeta_k-p\right) C_1\;(C:積分定数) \end{eqnarray} $$

区間毎の積分より距離の平均値\(\bar{r}\)を求める 第二項\(I_{2k}\)

$$ \begin{eqnarray} I_{2k}&=&\int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(y-q\right)^2\ln{\left|\left(x-p\right)+\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\right|} \;\mathrm{d}y \\&=&\int^{y_k}_{y_{k-1}} \left(y-q\right)^2\ln{\left|\left(\left(\epsilon_k y+\zeta_k\right)-p\right)+\sqrt{\left(\left(\epsilon_k y+\zeta_k\right)-p\right)^2+\left(y-q\right)^2}\right|} \;\mathrm{d}y \\&=&\int^{y_k}_{y_{k-1}} \left(y-q\right)^2 \ln{\left| \epsilon_k y+\zeta_k-p +\sqrt{ \left( \left( \epsilon_k y+\zeta_k \right)^2 -2p\left( \epsilon_k y+\zeta_k \right)+p^2 \right) +\left( y^2-2qy-q^2 \right) } \right|} \;\mathrm{d}y \\&=&\int^{y_k}_{y_{k-1}} \left(y-q\right)^2 \ln{\left| \epsilon_k y+\zeta_k-p +\sqrt{ \left( \epsilon_k^2 y^2 +2\epsilon_k\zeta_k y +\zeta_k^2 \right) -2p\epsilon_k y -2p\zeta_k +p^2 +y^2-2qy-q^2 } \right|} \;\mathrm{d}y \\&=&\int^{y_k}_{y_{k-1}} \left(y-q\right)^2 \ln{\left| \epsilon_k y+\zeta_k-p +\sqrt{ \epsilon_k^2 y^2 +y^2 +2\epsilon_k\zeta_k y -2p\epsilon_k y -2qy +\zeta_k^2 -2p\zeta_k +p^2 -q^2 } \right|} \;\mathrm{d}y \\&=&\int^{y_k}_{y_{k-1}} \left(y-q\right)^2 \ln{\left| \epsilon_k y+\zeta_k-p +\sqrt{ \left(\epsilon_k^2+1\right) y^2 +2\left\{\epsilon_k\left(\zeta_k-p\right)-q\right\} y +\left(\zeta_k-p\right)^2 -q^2 } \right|} \;\mathrm{d}y \\&=&\int^{y_k}_{y_{k-1}} \left(y-q\right)^2 \ln{\left| \epsilon_k y+\zeta_k-p +\sqrt{\alpha_k y^2+\beta_k y+\gamma_k} \right|}\;\mathrm{d}y \;\cdots\;\alpha_k=\epsilon_k^2+1 ,\;\beta_k=2\left\{\epsilon_k \left(\zeta_k-p\right) -q\right\} ,\;\gamma_k=\left(\zeta_k-p\right)^2-q^2 \end{eqnarray} $$ →要:数値計算

区間毎の積分より距離の平均値\(\bar{r}\)を求める 第一項\(I_{1k}\)+第二項\(I_{2k}\)

$$ \begin{eqnarray} \bar{r}&=&\frac{1}{2A} \sum_{k=1}^n\left\{ \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(x-p\right)\sqrt{\left(x-p\right)^2+\left(y-q\right)^2} \;\mathrm{d}y +\int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} \left(y-q\right)^2\ln{\left|\left(x-p\right)+\sqrt{\left(x-p\right)^2+\left(y-q\right)^2}\right|} \;\mathrm{d}y \right\} \\&=&\frac{1}{2A} \sum_{k=1}^n \left\{I_{1k} + I_{2k}\right\} \\&=&\frac{1}{2A} \sum_{k=1}^n \left\{I_{1k}(y_{k}) - I_{1k}(y_{k-1}) + I_{2k}\right\} \end{eqnarray} $$

多角形の頂点座標から重心を求める (グリーンの定理を用いて面積分を周回積分にして求める)

グリーンの定理(Green's theorem)

閉曲線\(C\)で囲まれた領域\(D\)を考える場合,\(C^1\)級凾数\(P(x, y), Q(x, y)\)について以下が成り立つ。 $$ \begin{eqnarray} \iint_D \left(\frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}\right)\mathrm{d}x\mathrm{d}y &=& \oint_C P(x, y)\mathrm{d}x+Q(x,y)\mathrm{d}y \end{eqnarray} $$

面積分を周回積分へ変形し,区間毎の積分に展開する

Dの重心のX座標\(X_G\)は $$ \begin{eqnarray} X_G&=&\iint_D \rho(x,y)x\;\mathrm{d}x\mathrm{d}y \\&=&\iint_D \frac{1}{A}x\;\mathrm{d}x\mathrm{d}y \;\cdots\;密度は均一と仮定: \rho(x,y)=\frac{1}{A}\;(定数, A:Dの面積) \\&=&\frac{1}{A}\iint_D x\;\mathrm{d}x\mathrm{d}y \;\cdots\;\int_XcA(x)\mathrm{d}x=c\int_XA(x)\mathrm{d}x \end{eqnarray} $$ であり,これをグリーンの定理の式で満たすために例えば $$ \begin{eqnarray} Q(x, y)&=&\frac{1}{2}x^2 \\P(x, y)&=&0 \end{eqnarray} $$ とおく(それぞれ一階微分可能で連続(\(C^1\)級凾数)).これは $$ \begin{eqnarray} \frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}&=&x-0 \\&=&x \end{eqnarray} $$ となり,グリーンの定理の面積分側の被積分凾数を表現できている.
この\(P,Q\)を用いて周回積分側の 被積分凾数を求めると以下のようになる. $$ \begin{eqnarray} X_G&=&\frac{1}{A}\iint_D x\;\mathrm{d}x\mathrm{d}y \\&=&\frac{1}{A}\iint_D \left(\frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}\right)\mathrm{d}x\mathrm{d}y \\&=&\frac{1}{A}\oint_C P(x, y)\mathrm{d}x+Q(x,y)\mathrm{d}y \\&=&\frac{1}{A}\oint_C 0\mathrm{d}x+\frac{1}{2}x^2\mathrm{d}y \\&=&\frac{1}{A}\oint_C \frac{1}{2}x^2\mathrm{d}y \\&=&\frac{1}{2A}\oint_C x^2\mathrm{d}y \end{eqnarray} $$ ここで周回積分を多角形として考える.多角形の各頂点の列を以下のように与えるとする. $$ \begin{eqnarray} (x_0, y_0), (x_1, y_1),(x_2, y_2), \cdots, (x_n, y_n)=(x_0, y_0) \end{eqnarray} $$  

 

 


 周回積分を多角形の区間ごとに分割し,区間毎の積分の和として以下のようになる. $$ \begin{eqnarray} X_G&=&\frac{1}{2A}\oint_C x^2\mathrm{d}y \\&=&\frac{1}{2A} \sum_{k=1}^n \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} x^2 \mathrm{d}y \end{eqnarray} $$ 同様にDの重心のY座標\(Y_G\)は $$ \begin{eqnarray} Y_G&=&\iint_D \rho(x,y)y\;\mathrm{d}x\mathrm{d}y \\&=&\iint_D \frac{1}{A}y\;\mathrm{d}x\mathrm{d}y \;\cdots\;密度は均一と仮定: \rho(x,y)=\frac{1}{A}\;(定数, A:Dの面積) \\&=&\frac{1}{A}\iint_D y\;\mathrm{d}x\mathrm{d}y \;\cdots\;\int_XcA(x)\mathrm{d}x=c\int_XA(x)\mathrm{d}x \end{eqnarray} $$ であり,これをグリーンの定理の式で満たすために例えば $$ \begin{eqnarray} Q(x, y)&=&0 \\P(x, y)&=&-\frac{1}{2}y^2 \end{eqnarray} $$ とおく(それぞれ一階微分可能で連続(\(C^1\)級凾数)).これは $$ \begin{eqnarray} \frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}&=&0-(-y) \\&=&y \end{eqnarray} $$ となり,やはりグリーンの定理の面積分側の被積分凾数を表現できている.
この\(P,Q\)を用いて周回積分側の 被積分凾数を求めると以下のようになる. $$ \begin{eqnarray} Y_G&=&\frac{1}{A}\iint_D y\;\mathrm{d}x\mathrm{d}y \\&=&\frac{1}{A}\iint_D \left(\frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}\right)\mathrm{d}x\mathrm{d}y \\&=&\frac{1}{A}\oint_C P(x, y)\mathrm{d}x+Q(x,y)\mathrm{d}y \\&=&\frac{1}{A}\oint_C -\frac{1}{2}y^2\mathrm{d}x+0\mathrm{d}y \\&=&\frac{1}{A}\oint_C -\frac{1}{2}y^2\mathrm{d}x \\&=&-\frac{1}{2A}\oint_C y^2\mathrm{d}x \end{eqnarray} $$ X座標同様に周回積分を多角形の区間ごとに分割し,区間毎の積分の和として以下のようになる. $$ \begin{eqnarray} Y_G&=&-\frac{1}{2A}\oint_C y^2\mathrm{d}x \\&=&-\frac{1}{2A} \sum_{k=1}^n \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} y^2 \mathrm{d}x \end{eqnarray} $$


多角形の頂点間線分(辺)に重なる直線の式を求める

多角形の各頂点において今の頂点\((x_k, y_k)\)とその前の頂点\((x_{k-1}, y_{k-1})\)とを通る直線の式は以下のように求められる. $$ \begin{eqnarray} y-y_{k-1}&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}\left(x-x_{k-1}\right) \;\cdots\;傾き\thetaの直線における原点を,点(p,q)へ移動した式と同じ.(y-q)=\theta(x-p) \\x-x_{k-1}&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right) \end{eqnarray} $$ $$ \begin{eqnarray} \\x-x_{k-1}&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right) \\x&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right)+x_{k-1} \\x&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_k-x_{k-1}}{y_k-y_{k-1}}(-y_{k-1})+x_{k-1} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{\left(x_k-x_{k-1}\right)(-y_{k-1})+x_{k-1}\left(y_k-y_{k-1}\right)}{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{-x_ky_{k-1}{\color{red}+x_{k-1}y_{k-1}}+x_{k-1}y_k{\color{red}-x_{k-1}y_{k-1}}}{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{-x_ky_{k-1}+x_{k-1}y_k}{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_{k-1}y_k-x_ky_{k-1}}{y_k-y_{k-1}} \end{eqnarray} $$ $$ \begin{eqnarray} y-y_{k-1}&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}\left(x-x_{k-1}\right) \\y&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}\left(x-x_{k-1}\right)+y_{k-1} \\&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}x+\frac{y_k-y_{k-1}}{x_k-x_{k-1}}(-x_{k-1})+y_{k-1} \\&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}x+\frac{(-x_{k-1})(y_k-y_{k-1})+(x_k-x_{k-1})y_{k-1}}{x_k-x_{k-1}} \\&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}x+\frac{-x_{k-1}y_k{\color{red}+x_{k-1}y_{k-1}}+x_ky_{k-1}{\color{red}-x_{k-1}y_{k-1}}}{x_k-x_{k-1}} \\&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}x+\frac{-x_{k-1}y_k+x_ky_{k-1}}{x_k-x_{k-1}} \\&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}x+\frac{x_ky_{k-1}-x_{k-1}y_k}{x_k-x_{k-1}} \end{eqnarray} $$

区間毎の積分より重心を求める

区間毎の積分の和の式における被積分凾数に,先ほど求めた直線の式を代入し積分を行う.まずX座標\(X_G\)について進める. $$ \begin{eqnarray} X_G&=&\frac{1}{2A}\sum_{k=1}^n \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} x^2 \mathrm{d}y \\&=&\frac{1}{2A}\sum_{k=1}^n \int^{y_k}_{y_{k-1}} \left( \frac{x_k - x_{k-1}}{y_k - y_{k-1}}y + \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right)^2 \mathrm{d}y \;\cdots\;x=\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_{k-1}y_k-x_ky_{k-1}}{y_k-y_{k-1}} \\&=&\frac{1}{2A}\sum_{k=1}^n \int^{y_k}_{y_{k-1}} \left\{ \left( \frac{x_k - x_{k-1}}{y_k - y_{k-1}}y \right)^2 + 2 \left( \frac{x_k - x_{k-1}}{y_k - y_{k-1}}y \right) \left( \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right) + \left( \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right)^2 \right\} \mathrm{d}y \;\cdots\;x=(A+B)^2=A^2+2AB+B^2 \\&=&\frac{1}{2A}\sum_{k=1}^n\left\{ \int^{y_k}_{y_{k-1}} \left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}y\right)^2 \mathrm{d}y + \int^{y_k}_{y_{k-1}} 2\left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}y\right)\left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right)\mathrm{d}y + \int^{y_k}_{y_{k-1}} \left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}}\right)^2 \mathrm{d}y \right\} \;\cdots\;\int_X(A(x)+B(x)+C(x))\mathrm{d}x=\int_XA(x)\mathrm{d}x+\int_XB(x)\mathrm{d}x+\int_XC(x)\mathrm{d}x \\&=&\frac{1}{2A}\sum_{k=1}^n\left\{ \left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)^2 \int^{y_k}_{y_{k-1}} y^2 \mathrm{d}y + 2\left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)\left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right) \int^{y_k}_{y_{k-1}} y \mathrm{d}y + \left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}}\right)^2 \int^{y_k}_{y_{k-1}} \mathrm{d}y \right\} \;\cdots\;\int_XcA(x)\mathrm{d}x=c\int_XA(x)\mathrm{d}x \\&=&\frac{1}{2A}\sum_{k=1}^n\left\{ \left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)^2 \left[\frac{1}{3}y^3\right]^{y_k}_{y_{k-1}} + 2\left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)\left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right) \left[\frac{1}{2}y^2\right]^{y_k}_{y_{k-1}} + \left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}}\right)^2 \left[y\right]^{y_k}_{y_{k-1}} \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n\left\{ \frac{1}{3}\left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)^2 \left[y^3\right]^{y_k}_{y_{k-1}} + \frac{1}{2}2\left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)\left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right) \left[y^2\right]^{y_k}_{y_{k-1}} + \left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}}\right)^2 \left[y\right]^{y_k}_{y_{k-1}} \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n\left\{ \frac{1}{3}\left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)^2\left(y_k^3-y_{k-1}^3\right) + \left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right) \left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right)\left(y_k^2-y_{k-1}^2\right) + \left( \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}}\right)^2 \left(y_k-y_{k-1}\right) \right\} \end{eqnarray} $$ \(\left\{\right\}\)の中をまとめる. $$ \begin{eqnarray} X_G&=&\frac{1}{2A}\sum_{k=1}^n\left\{ \frac{1}{3}\left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right)^2\left(y_k^3-y_{k-1}^3\right) + \left(\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\right) \left(\frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right)\left(y_k^2-y_{k-1}^2\right) + \left( \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}}\right)^2 \left(y_k-y_{k-1}\right) \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{(y_k - y_{k-1})^2} \left\{ \frac{1}{3}\left(x_k - x_{k-1}\right)^2\left(y_k^3-y_{k-1}^3\right) + \left(x_k - x_{k-1}\right) \left(x_{k-1}y_k - x_ky_{k-1} \right)\left(y_k^2-y_{k-1}^2\right) + \left(x_{k-1}y_k - x_ky_{k-1}\right)^2 \left(y_k-y_{k-1}\right) \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})^2} \left\{ \left(x_k - x_{k-1}\right)^2\left(y_k-y_{k-1}\right)\left(y_k^2+y_ky_{k-1}+y_{k-1}^2\right) + 3\left(x_k - x_{k-1}\right) \left(x_{k-1}y_k - x_ky_{k-1} \right)\left(y_k-y_{k-1}\right)\left(y_k+y_{k-1}\right) + 3\left(x_{k-1}y_k - x_ky_{k-1}\right)^2 \left(y_k-y_{k-1}\right) \right\} \\&&\;\cdots\;A^3-B^3=(A-B)(A^2+AB+B^2),\;A^2-B^2=(A-B)(A+B) \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{\left(y_k-y_{k-1}\right)}{3(y_k - y_{k-1})^2} \left\{ \left(x_k - x_{k-1}\right)^2\left(y_k^2+y_ky_{k-1}+y_{k-1}^2\right) + 3\left(x_k - x_{k-1}\right) \left(x_{k-1}y_k - x_ky_{k-1} \right)\left(y_k+y_{k-1}\right) + 3\left(x_{k-1}y_k - x_ky_{k-1}\right)^2 \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left\{ \left(x_k - x_{k-1}\right)^2\left(y_k^2+y_ky_{k-1}+y_{k-1}^2\right) + 3\left(x_{k-1}y_k - x_ky_{k-1}\right)\left\{ \left(x_k - x_{k-1}\right)\left(y_k+y_{k-1}\right) + \left(x_{k-1}y_k - x_ky_{k-1}\right) \right\} \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left\{ \left(x_k - x_{k-1}\right)^2\left(y_k^2+y_ky_{k-1}+y_{k-1}^2\right) + 3\left(x_{k-1}y_k - x_ky_{k-1}\right)\left(x_k y_k-x_{k-1}y_{k-1}\right) \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left\{ \left(x_k^2 -2x_kx_{k-1}+ x_{k-1}^2\right)\left(y_k^2+y_ky_{k-1}+y_{k-1}^2\right) + 3\left(x_{k-1}y_k - x_ky_{k-1}\right)\left(x_k y_k-x_{k-1}y_{k-1}\right) \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left( x_k^2y_k^2+x_k^2y_ky_{k-1}+x_k^2y_{k-1}^2-2x_kx_{k-1}y_k^2-2x_kx_{k-1}y_ky_{k-1}-2x_kx_{k-1}y_{k-1}^2+x_{k-1}^2y_k^2+ x_{k-1}^2y_ky_{k-1}+ x_{k-1}^2y_{k-1}^2 +3x_kx_{k-1}y_k^2-3x_{k-1}^2y_ky_{k-1}-3x_k^2y_ky_{k-1}+3x_kx_{k-1}y_{k-1}^2 \right) \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left( x_k^2y_k^2 +x_k^2y_{k-1}^2 +x_{k-1}^2y_k^2 +x_{k-1}^2y_{k-1}^2 + x_kx_{k-1}y_k^2 + x_kx_{k-1}y_{k-1}^2 -2x_k^2y_ky_{k-1} -2x_{k-1}^2y_ky_{k-1} -2x_kx_{k-1}y_ky_{k-1} \right) \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left( x_k^2(y_k^2+y_{k-1}^2) +x_{k-1}^2(y_k^2+y_{k-1}^2) +x_kx_{k-1}(y_k^2+y_{k-1}^2) -2y_ky_{k-1}(x_k^2+x_kx_{k-1}+x_{k-1}^2) \right) \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left\{ \left( x_k^2 +x_kx_{k-1} +x_{k-1}^2 \right) \left( y_k^2 +y_{k-1}^2 \right) -2y_ky_{k-1} \left( x_k^2 +x_kx_{k-1} +x_{k-1}^2 \right) \right\} \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left( x_k^2 +x_kx_{k-1} +x_{k-1}^2 \right) \left( y_k^2 -2y_ky_{k-1}+y_{k-1}^2 \right) \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3(y_k - y_{k-1})} \left( x_k^2 +x_kx_{k-1} +x_{k-1}^2 \right) \left( y_k -y_{k-1} \right)^2 \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{y_k -y_{k-1}}{3(y_k - y_{k-1})} \left( x_k^2 +x_kx_{k-1} +x_{k-1}^2 \right) \left( y_k -y_{k-1} \right) \\&=&\frac{1}{2A}\sum_{k=1}^n \frac{1}{3} \left(x_k^2 +x_kx_{k-1} +x_{k-1}^2\right) \left(y_k -y_{k-1}\right) \\&=&\frac{1}{2A}\frac{1}{3}\sum_{k=1}^n \left(x_k^2 +x_kx_{k-1} +x_{k-1}^2\right) \left(y_k -y_{k-1}\right) \\&=&\frac{1}{6A}\sum_{k=1}^n \left(x_k^2 +x_kx_{k-1} +x_{k-1}^2\right) \left(y_k -y_{k-1}\right) \end{eqnarray} $$ 多角形の頂点座標から,その重心のX座標\(X_G\)が求められた.
同様に重心のY座標\(Y_G\)は以下のようになる. $$ \begin{eqnarray} Y_G&=&-\frac{1}{2A}\sum_{k=1}^n \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} y^2 \mathrm{d}y \\&=&-\frac{1}{2A}\sum_{k=1}^n \int^{x_k}_{x_{k-1}} \left( \frac{y_k-y_{k-1}}{x_k-x_{k-1}}x+\frac{x_ky_{k-1}-x_{k-1}y_k}{x_k-x_{k-1}} \right)^2 \mathrm{d}y \;\cdots\;y=\frac{y_k-y_{k-1}}{x_k-x_{k-1}}x+\frac{x_ky_{k-1}-x_{k-1}y_k}{x_k-x_{k-1}} \\&=&-\frac{1}{6A}\sum_{k=1}^n \left(y_k^2 +y_ky_{k-1} +y_{k-1}^2\right) \left(x_k -x_{k-1}\right) \end{eqnarray} $$

例:正四角形

$$ \begin{eqnarray} (x_0, y_0), (x_1, y_1), (x_2, y_2), (x_3, y_3), (x_4=x_0, y_4=y_0)&=& (0, 0), (1, 0), (1, 1), (0, 1), (0, 0) \\A&=&\href{https://shikitenkai.blogspot.com/2020/07/blog-post.html}{1} \end{eqnarray} $$ $$ \begin{eqnarray} X_G&=&\frac{1}{6A}\sum_{k=1}^n \left(x_k^2+x_kx_{k-1}+x_{k-1}^2\right)\left(y_k-y_{k-1}\right) \\&=&\frac{1}{6\cdot1}\left\{ \left(1^2+1\cdot 0+0^2\right)\left(0-0\right) +\left(1^2+1\cdot 1+1^2\right)\left(1-0\right) +\left(0^2+0\cdot 1+1^2\right)\left(1-1\right) +\left(0^2+0\cdot 0+0^2\right)\left(0-1\right) \right\} \\&=&\frac{1}{6}\left( 0+3+0+0 \right) \\&=&\frac{1}{6}3 \\&=&\frac{1}{2} \end{eqnarray} $$ $$ \begin{eqnarray} Y_G&=&-\frac{1}{6A}\sum_{k=1}^n \left(y_k^2+y_ky_{k-1}+y_{k-1}^2\right)\left(x_k-x_{k-1}\right) \\&=&-\frac{1}{6\cdot1}\left\{ \left(0^2+0\cdot 0+0^2\right)\left(1-0\right) +\left(1^2+1\cdot 0+0^2\right)\left(1-1\right) +\left(1^2+1\cdot 1+1^2\right)\left(0-1\right) +\left(0^2+0\cdot 1+1^2\right)\left(0-0\right) \right\} \\&=&-\frac{1}{6}\left( 0+0-3+0 \right) \\&=&-\frac{1}{6}(-3) \\&=&\frac{1}{2} \end{eqnarray} $$ よって重心は以下の点になる. $$ \begin{eqnarray} (X_G,Y_G)&=&(\frac{1}{2},\frac{1}{2}) \end{eqnarray} $$

例:二等辺三角形

$$ \begin{eqnarray} (x_0, y_0), (x_1, y_1), (x_2, y_2), (x_3=x_0, y_3=y_0)&=& (0, 0), (1, 0), (\frac{1}{2}, 1), (0, 0) \\A&=&\href{https://shikitenkai.blogspot.com/2020/07/blog-post.html}{\frac{1}{2}} \end{eqnarray} $$ $$ \begin{eqnarray} X_G&=&\frac{1}{6A}\sum_{k=1}^n \left(x_k^2+x_kx_{k-1}+x_{k-1}^2\right)\left(y_k-y_{k-1}\right) \\&=&\frac{1}{6\cdot\frac{1}{2}}\left[ \left(1^2+1\cdot 0+0^2\right)\left(0-0\right) +\left\{\left(\frac{1}{2}\right)^2+\frac{1}{2}\cdot 1+1^2\right\}\left(1-0\right) +\left\{0^2+0\cdot \frac{1}{2}+\left(\frac{1}{2}\right)^2\right\}\left(0-1\right) \right] \\&=&\frac{1}{3}\left( 0+\frac{7}{4}-\frac{1}{4} \right) \\&=&\frac{1}{3}\frac{6}{4} \\&=&\frac{1}{2} \end{eqnarray} $$ $$ \begin{eqnarray} Y_G&=&-\frac{1}{6A}\sum_{k=1}^n \left(y_k^2+y_ky_{k-1}+y_{k-1}^2\right)\left(x_k-x_{k-1}\right) \\&=&-\frac{1}{6\cdot\frac{1}{2}}\left\{ \left(0^2+0\cdot 0+0^2\right)\left(1-0\right) +\left(1^2+1\cdot 0+0^2\right)\left(\frac{1}{2}-1\right) +\left(0^2+0\cdot 1+1^2\right)\left(0-\frac{1}{2}\right) \right\} \\&=&-\frac{1}{3}\left( 0-\frac{1}{2}-\frac{1}{2} \right) \\&=&-\frac{1}{3}(-1) \\&=&\frac{1}{3} \end{eqnarray} $$ よって重心は以下の点になる. $$ \begin{eqnarray} (X_G,Y_G)&=&(\frac{1}{2},\frac{1}{3}) \end{eqnarray} $$

多角形の頂点座標から面積を求める (グリーンの定理を用いて面積分を周回積分にして求める)

グリーンの定理(Green's theorem)

閉曲線\(C\)で囲まれた領域\(D\)を考える場合,\(C^1\)級凾数\(P(x, y), Q(x, y)\)について以下が成り立つ。 $$ \begin{eqnarray} \iint_D \left(\frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}\right)\mathrm{d}x\mathrm{d}y &=& \oint_C P(x, y)\mathrm{d}x+Q(x,y)\mathrm{d}y \end{eqnarray} $$

面積分を周回積分へ変形し,区間毎の積分に展開する

Dの面積Aは面積分で表すと $$ \begin{eqnarray} A&=&\iint_D 1\;\mathrm{d}x\mathrm{d}y \end{eqnarray} $$ であり,これをグリーンの定理の式で満たすために例えば $$ \begin{eqnarray} Q(x, y)&=&x \\P(x, y)&=&0 \end{eqnarray} $$ とおく(それぞれ一階微分可能で連続(\(C^1\)級凾数)).これは $$ \begin{eqnarray} \frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}&=&1-0 \\&=&1 \end{eqnarray} $$ となり,グリーンの定理の面積分側の被積分凾数を表現できている.
この\(P,Q\)を用いて周回積分側の 被積分凾数を求めると以下のようになる. $$ \begin{eqnarray} A&=&\iint_D 1\;\mathrm{d}x\mathrm{d}y \\&=&\iint_D \left(\frac{\partial Q(x, y)}{\partial x}-\frac{\partial P(x, y)}{\partial y}\right)\mathrm{d}x\mathrm{d}y \\&=&\oint_C P(x, y)\mathrm{d}x+Q(x,y)\mathrm{d}y \\&=&\oint_C 0\mathrm{d}x+x\mathrm{d}y \\&=&\oint_C x\mathrm{d}y \end{eqnarray} $$ ここで周回積分を多角形として考える.多角形の各頂点の列を以下のように与えるとする. $$ \begin{eqnarray} (x_0, y_0), (x_1, y_1),(x_2, y_2), \cdots, (x_n, y_n)=(x_0, y_0) \end{eqnarray} $$ 



周回積分を多角形の区間ごとに分割し,区間毎の積分の和として以下のようになる. $$ \begin{eqnarray} A&=&\oint_C x\mathrm{d}y \\&=&\sum_{k=1}^n \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} x \mathrm{d}y \end{eqnarray} $$


多角形の頂点間線分(辺)に重なる直線の式を求める

多角形の各頂点において今の頂点\((x_k, y_k)\)とその前の頂点\((x_{k-1}, y_{k-1})\)とを通る直線の式は以下のように求められる. $$ \begin{eqnarray} y_-y_{k-1}&=&\frac{y_k-y_{k-1}}{x_k-x_{k-1}}\left(x-x_{k-1}\right) \;\cdots\;傾き\thetaの直線における原点を,点(p,q)へ移動した式と同じ.(y-q)=\theta(x-p) \\\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right)&=&x-x_{k-1} \\x-x_{k-1}&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right) \\x&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}\left(y-y_{k-1}\right)+x_{k-1} \\x&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_k-x_{k-1}}{y_k-y_{k-1}}(-y_{k-1})+x_{k-1} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{\left(x_k-x_{k-1}\right)(-y_{k-1})+x_{k-1}\left(y_k-y_{k-1}\right)}{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{-x_ky_{k-1}\color{red}{+x_{k-1}y_{k-1}} \color{black}{+x_{k-1}y_k} \color{red}{-x_{k-1}y_{k-1}} }{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{-x_ky_{k-1}+x_{k-1}y_k}{y_k-y_{k-1}} \\&=&\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_{k-1}y_k-x_ky_{k-1}}{y_k-y_{k-1}} \end{eqnarray} $$

区間毎の積分より面積を求める

区間毎の積分の和の式における被積分凾数に,先ほど求めた直線の式を代入する. $$ \begin{eqnarray} A&=&\sum_{k=1}^n \int^{(x_k, y_k)}_{(x_{k-1},y_{k-1})} x \mathrm{d}y \\&=&\sum_{k=1}^n \int^{y_k}_{y_{k-1}} \left( \frac{x_k - x_{k-1}}{y_k - y_{k-1}}y + \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \right) \mathrm{d}y \;\cdots\;x=\frac{x_k-x_{k-1}}{y_k-y_{k-1}}y+\frac{x_{k-1}y_k-x_ky_{k-1}}{y_k-y_{k-1}} \\&=&\sum_{k=1}^n\left\{ \int^{y_k}_{y_{k-1}} \frac{x_k - x_{k-1}}{y_k - y_{k-1}}y \mathrm{d}y + \int^{y_k}_{y_{k-1}} \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \mathrm{d}y \right\} \;\cdots\;\int_X(A(x)+B(x))\mathrm{d}x=\int_XA(x)\mathrm{d}x+\int_XB(x)\mathrm{d}x \\&=&\sum_{k=1}^n\left\{ \frac{x_k - x_{k-1}}{y_k - y_{k-1}}\int^{y_k}_{y_{k-1}} y \mathrm{d}y + \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \int^{y_k}_{y_{k-1}} \mathrm{d}y \right\} \;\cdots\;\int_XcA(x)\mathrm{d}x=c\int_XA(x)\mathrm{d}x \\&=&\sum_{k=1}^n\left\{ \frac{x_k - x_{k-1}}{y_k - y_{k-1}}\left[\frac{1}{2}y^2\right]^{y_k}_{y_{k-1}} + \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \left[y\right]^{y_k}_{y_{k-1}} \right\} \\&=&\sum_{k=1}^n\left\{ \frac{1}{2}\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\left[y^2\right]^{y_k}_{y_{k-1}} + \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \left[y\right]^{y_k}_{y_{k-1}} \right\} \\&=&\sum_{k=1}^n\left\{ \frac{1}{2}\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\left(y_k^2-y_{k-1}^2\right) + \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \left(y_k-y_{k-1}\right) \right\} \\&=&\sum_{k=1}^n\left\{ \frac{1}{2}\frac{x_k - x_{k-1}}{y_k - y_{k-1}}\left(y_k+y_{k-1}\right)\left(y_k-y_{k-1}\right) + \frac{x_{k-1}y_k - x_ky_{k-1}}{y_k - y_{k-1}} \left(y_k-y_{k-1}\right) \right\} \;\cdots\;A^2-B^2=(A+B)(A-B) \\&=&\sum_{k=1}^n\left\{ \frac{1}{2} (x_k - x_{k-1}) \left( y_k+y_{k-1} \right) + x_{k-1}y_k - x_ky_{k-1} \right\} \\&=&\sum_{k=1}^n\left\{ \frac{1}{2}\left( x_ky_k+x_ky_{k-1}-x_{k-1}y_k-x_{k-1}y_{k-1} \right) + x_{k-1}y_k - x_ky_{k-1} \right\} \\&=&\sum_{k=1}^n\left\{ \frac{1}{2} x_ky_k +\left(\frac{1}{2}-1\right)x_ky_{k-1} +\left(-\frac{1}{2}+1\right)x_{k-1}y_k -\frac{1}{2} x_{k-1}y_{k-1} \right\} \\&=&\sum_{k=1}^n\left\{ \frac{1}{2} x_ky_k -\frac{1}{2}x_ky_{k-1} +\frac{1}{2}x_{k-1}y_k -\frac{1}{2} x_{k-1}y_{k-1} \right\} \\&=&\sum_{k=1}^n\left\{ \frac{1}{2}\left( x_ky_k-x_ky_{k-1}+x_{k-1}y_k-x_{k-1}y_{k-1} \right) \right\} \\&=&\sum_{k=1}^n\left[ \frac{1}{2}\left\{ x_k\left(y_k-y_{k-1}\right)+x_{k-1}\left(y_k-y_{k-1}\right) \right\} \right] \\&=&\sum_{k=1}^n \frac{1}{2}\left(x_k+x_{k-1}\right)\left(y_k-y_{k-1}\right) \\&=&\frac{1}{2}\sum_{k=1}^n \left(x_k+x_{k-1}\right)\left(y_k-y_{k-1}\right) \end{eqnarray} $$ 多角形の頂点座標から,その面積が求められた.

例:正四角形

$$ \begin{eqnarray} (x_0, y_0), (x_1, y_1),(x_2, y_2), (x_3, y_3),(x_4=x_0, y_4=y_0)&=& (0, 0),(1, 0), (1, 1), (0, 1), (0,0) \end{eqnarray} $$ $$ \begin{eqnarray} A&=&\frac{1}{2}\sum_{k=1}^n \left(x_k+x_{k-1}\right)\left(y_k-y_{k-1}\right) \\&=&\frac{1}{2}\left\{ \left(x_1+x_0\right)\left(y_1-y_0\right) +\left(x_2+x_1\right)\left(y_2-y_1\right) +\left(x_3+x_2\right)\left(y_3-y_2\right) +\left(x_4+x_3\right)\left(y_4-y_3\right) \right\} \\&=&\frac{1}{2}\left\{ \left(1+0\right)\left(0-0\right) +\left(1+1\right)\left(1-0\right) +\left(0+1\right)\left(1-1\right) +\left(0+0\right)\left(0-1\right) \right\} \\&=&\frac{1}{2}\left( 0+2+0+0 \right) \\&=&\frac{1}{2}2 \\&=&1 \end{eqnarray} $$

例:二等辺三角形

$$ \begin{eqnarray} (x_0, y_0), (x_1, y_1),(x_2, y_2),(x_3=x_0, y_3=y_0)&=& (0, 0),(1, 0), (\frac{1}{2}, 1),(0, 0) \end{eqnarray} $$ $$ \begin{eqnarray} A&=&\frac{1}{2}\sum_{k=1}^n \left(x_k+x_{k-1}\right)\left(y_k-y_{k-1}\right) \\&=&\frac{1}{2}\left\{ \left(x_1+x_0\right)\left(y_1-y_0\right) +\left(x_2+x_1\right)\left(y_2-y_1\right) +\left(x_3+x_2\right)\left(y_3-y_2\right) \right\} \\&=&\frac{1}{2}\left\{ \left(1+0\right)\left(0-0\right) +\left(\frac{1}{2}+1\right)\left(1-0\right) +\left(0+\frac{1}{2}\right)\left(0-1\right) \right\} \\&=&\frac{1}{2}\left( 0+\frac{3}{2}-\frac{1}{2} \right) \\&=&\frac{1}{2}1 \\&=&\frac{1}{2} \end{eqnarray} $$