이중적분에 대해 알아보기 전에 단일변수로 이루어진 함수에 대한 적분의 정의에 대해 먼저 짧게나마 복습이 필요하다. 우선 다음과 같은 적분이 있을 때,
x의 범위는 곧
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHQAAAAoCAYAAAAv1t6rAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAAmSSURBVHhe7ZoFrBRZEEWBBLfg7iRYcAgQCME9uLu7uzsEl+Ae3N3dPbi7u7tTm1OZ/tuZP/OnZ4AN2+mbdIad//p1dcmt+2o2lDiwFZyA2gxOQG0GJ6A2gxNQm8EJqM3gBNRmcAJqMzgB/Qsxb948SZAggYQKFUoiRYok/fv3lw8fPrj+GjL+twH9+fOnnD9/Xnbv3i337t1zffv34urVq7Jr1y65ceOG2h4SWFezZk0NavTo0aVPnz72D+i7d+9kwIABUrJkSVm9erXr278TX79+lfHjx0vRokVlzpw58v37d9dfPIN3O3PmjLRu3VqD2r17d3sGlOxes2aNLF26VGmpVatWUq9ePdm+fbtrxd+D+/fvy4YNG9TWhQsXSseOHbXqVq1aJT9+/HCtChnjxo3TgHbq1Ml+AcUJ8+fPl1y5cknChAklR44cMnz4cLl8+bLll/0vsW7dOilQoIDamilTJqXNs2fPavX5olzAmpEjR0rixImla9eu9gjoo0ePNKNnzJihF06pXr26lCpVSurXr/9XVebLly+1IrFz5syZMnDgQKldu7aULl06qDKt4vbt27Jy5Urp3bu3NG/e3K97Awoo2UPF0AuMi/82Mo9/m//bH3CfgZ07d0rx4sUlbty4kjp1aqUeegt0dufOHXn79q1rZXC422je1wzzGl9r3cE64x2PHz8ulSpVkvjx40uyZMmkSZMmcvToUXnw4IEG6NWrV5b9sWzZMsmXL5+0aNFCzp07p9X57du3YO/jab+AAnrp0iVt7nA8F9Qwe/ZsNfz9+/eyefNmWbFihTx8+NB1hzVAR1DVmDFjZOzYsZrlzZo106ps0KCBLF68WF/GCm7duqUUDS0jSPbv3x8sUF++fJFt27bps3imcdGnnz9/7lrlGeZ7uYYMGSItW7bUaqxTp45WKr4IBNOmTdPeSUA/fvyoCnnSpEkyatQo9TefCxYs0MR2h98B5QFTp06VtGnTSqxYsSRp0qQSL148yZ07twaDPlG1alWtrCNHjrjusgaOITiD/bgI5MGDB+XFixfy+PFjefPmjeUsR/oXKVJEYsSIISlSpJBevXrJkydP9G/GHgQdJZkkSRLtdYkSJdJPhNaVK1d0jTcY99LjYseOLWXKlNEAG7a+fv3acvK5Y9asWWozdHvz5k2ZOHGipEmTRqvf8HfhwoVl69atwZLUr4Bev35dsz1v3rx66OUhUEubNm2kXbt2mqV88oLp0qXTM6IVECiqggN0ly5dpH379roPVQ9VBQKSY9CgQdK4cWOtHPal+k6dOqXVtWfPHmUAnsXfuXAgjEA1eGMXEhpHsjd7dujQQdq2batO95eRvGHRokWSPHlyyZw5sx5ZSEYUvWEnlYvd2E+1mmE5oJ8+fVLKy5kzp4QLF077Gk2bHkGW4ECEStSoUSV06NBSqFAhyxUKdeBI+gYSH8fw3bNnz/QMFwi4j0SBxtln2LBhkj59enXCtWvX1FGwipE09GOEDRf3eKsu/o7qRG1PnjxZhxr4gOonUX4V+Bm6hjUomlSpUsnQoUPVJ1A4tpJU9OcKFSqov82wFFCDw3FCt27d9IUGDx4sBw4ccK0QpZnKlStL5MiRpVy5ctpjPXG8J2AkycLePXv2lL59+6qi5TuC8jtAn48YMaJkzJhRevTooc8hyCSiP0CgrF27Vu9nn379+mlikxgGpQcKztkkCe0qQoQIQULQ7GcDxKRYsWIadDMsBRQ5nj17du2NnPvIXrLFnJGoTlQeNLxkyRJVZVZh9DTosFatWhInThy9atSooeoRJxJ0Pq32UDOwF6GRMmVKdQDZj7gISSV7g/F8qhzqo+fGjBlTeygtxqgiPt37my9s2bJFz9fYiD5hGOFtrEkicnwLKKBkJM2fMZu3PkFAK1asKBkyZJBNmza5vvUPVCOSnZEe1Ejm05/o0wgQf6YsZnAPYo0eisMIAMr0V/D582dZv3699lLshVXoa02bNtVAo7ChRn+AjoBi6Z/0zUOHDnlN4IADinyH+vLkySONGjXymjFGQBFDGBYIMJ7eZ5y5EB+oOQLAS3bu3FkZAiUJvVmdnhigcqAwKnTEiBEBq1CArdhp9PjDhw9L+fLlVRCS/AT29OnTQarXyoQIv+E/9oEBQkLAAUWs4AQymqMAhnkCUx0MQW4z5fgdoAdz3ho9erQ+n6xt2LChVKtWTVUfStVfoKSR/pxPfyWg7iDxly9fHmQrFYvCxlYYhrblC0ZAq1Spov4MCQH3UG5gfAVleQJZR79AddH/OPv9rpEcexsUS79GaGXLlk2rIEuWLOo8hhnQny9wP9WNczlvIpJ+Z0DNtvJv2gPHO+MIh3giCKhYb6C1sRam4708gWfQmujXaBrexQxLAUV1mQ/aZuqAdugXUAx9b+PGjT6nLIECG6hYZP2UKVO0r3J2tFKpsAtDC8QWvzFynv6TICD80oKt06dPV4FDy6LvGoF3B1VMD0VgMbjwBBgS2xl+oNI55plhKaCIoQsXLri++RdsbvQOetzcuXM1wAgnJhz+9jh/QJZCa/zGGBLFI0yoTCgWQURGc5amQqkYqpvqvXv37h+zmf0RZAULFtQpkDszYAPahKMP74O4cqdciogz8N69ezUx6Z8kqTssBRSu5uXdgSJl4yhRoqgQoAdQnag+pkcMlv8kLl68qPSOIPMGHMDAg57Lb6iMJxF5VAzVfezYMXUeyYGi/lM2M2XDVsSOmeEAAofJGPNqbGRW7r6GpOCMCs1iK4LRExP6DCi/5dWtW1fpgJc9efKkfjIFoi9kzZpVwocPr8NkqgBKYUDNxVorwFgohvUnTpzQT6sXL496NUA/h5pRmJxrESgoZY4XhqBjPb0Um2kT/tgMA1FN7O2vrbAcQXAPFn/j2Qgo/Eyisr9xHwHft2+fJiVsSVJ6g8+A7tixQ4fxHPKhDCiBsR6VybSI/lm2bFn9n5mYbDBQZ65JwBlQWwFHEPoBgoq9eYavC9ZgLb3ETD04jWzPnz+/BhIn0MvMlYFdzERJRFqFPzZD9UzNSpQoEeQPXxe2spaAEQz3HsozeTY2ICyNe4z7eU98TPLxk+LTp09ddwaHz4ACfg5jAgT9GlfYsGG1IqErRoJhwoTR71nHxMMfQJk41by/1Ysqg6YMMCajRxp/J/OZtZpBldASArGZe0kGY39/rmjRoiljUOWegA3ufjbfO2HCBNdK77AUUAf/HzgBtRmcgNoMTkBtBiegNoMTUJvBCajN4ATUZnACaiuI/ANM0zHOZXjMAgAAAABJRU5ErkJggg==)
임을 알 수 있다. 즉 위 적분식을 통해 우리는 '
![](data:image/png;base64,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)
의 범위에 대해 적분을 한다'고 말할 수 있다. 그리고 이 때에는
![](data:image/png;base64,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)
를 가정하는 것이다. 물론
![](data:image/png;base64,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)
도 가능한데, 그 때에는
![](data:image/png;base64,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)
의 범위가 된다.
또한 단일변수에서는 면적의 문제로 적분을 정의할 수 있다.
![](data:image/png;base64,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)
의 범위에서 적분은 곡선 아래의 면적으로서 생각할 수 있다. 이 때
![](data:image/png;base64,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)
의 범위는 n개의 부분구간으로 잘게 나누어지며, 이 때의 부분구간들의 간격은 공통적으로
![](data:image/png;base64,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)
로서 서로 같은 크기를 갖게 된다. 그러고 나서 각 부분구간에서 하나의 특정한 샘플 포인트
![](data:image/png;base64,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)
를 선택하면 다음과 같이 생각할 수 있다.
그래프에서 보이듯 각각의 직사각형들의 높이는
![](data:image/png;base64,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)
가 된다. 면적이
![](data:image/png;base64,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)
이기 때문에, 높이와 면적을 이용해서 직사각형의 면적의 크기가 정의되고, 각각의 직사각형들을 모두 모으면 결국 곡선 아래의 면적의 대략적인 값이 나온다. 그 식은 다음과 같이 쓸 수 있다.
정확한 면적을 구하고자 한다면 극한을 이용한다. 부분구간의 개수 n을 무한히 큰 값으로 설정하면 결국 무한히 많은 직사각형들의 면적의 크기를 구하는 문제가 된다.
여기까지가 단일 변수에서 면적의 문제를 이용하여 적분을 정의하는 과정이다.
두 개의 변수로 이루어진 함수,
![](data:image/png;base64,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)
도 마찬가지로 정의된다. 우린 일변수 함수에 대해서 다룰 때, 구간에 대해서 적분을 했었다. 두 변수 함수에서는 'x와 y의 범위에 대한 함수의 적분'을 부피의 문제로 다루게 된다.(한 번의 적분이 면적이 되듯, 두 번의 적분은 차원이 하나 더 늘어나서 부피가 된다.)
단일 변수에서의 x의 범위는 단순히 선(line)이었다면, 이제 두 변수에서는 x와 y로 이루어진 xy평면상에서의 '면적에 대한 부피의 문제'로 확장된다.
이 때, x와 y의 범위는 각각
![](data:image/png;base64,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)
,
![](data:image/png;base64,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)
가 된다고 할 때,
![](data:image/png;base64,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)
로 나타낼 수 있다.이는
![](data:image/png;base64,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)
공간상에서 이 문제를 다루려는 것임을 알 수 있게 한다.
이제 다음의 그래프를 통해 부피를 구하고자 함을 명확히 하고자 한다.
그래프에서 보는 바와 같이, xyz공간상의 평면 S와 xy평면상의 영역 R로 보이는 직사각형 평면이 보인다. 이 두 평면 사이의 빈 영역의 부피를 찾는 것이 목표가 된다. 즉 평면 S의 아래이면서 평면 R의 위의 영역을 말하는 것이다.
이 부피를 구하기 위해 단일변수에서의 면적 문제에서 했던 것처럼 수 많은 부분구간으로 나누는 것이 기본 아이디어가 된다.
![](data:image/png;base64,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)
와
![](data:image/png;base64,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)
에 대해서 각각 n개의 부분구간과 m개의 부분구간으로 나누어 생각한다. 그럼 평면 R은 곧 n*m개의 부분직사각형들로 쪼개진다. 쪼개어진 각 부분직사각형들에 대해서 단일변수에서 샘플포인터를 선택했던 것과 같이 특정점
![](data:image/png;base64,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)
를 선택한다. 현재까지의 상황이 다음의 그림에 나온다.
![](data:image/png;base64,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)
를 선택하는 방법에 있어서는 다양한 선택이 있을 수 있는데, mid point가 대표적인 방법이다. 즉 위의 그래프에서 보이듯, 부분직사각형의 정가운데의 지점을
![](data:image/png;base64,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)
로 선택하는 것이 하나의 방법이 될 수 있다. 하지만 왼쪽아래(원점과 가까이에 있는 점들)를 선택할 수도 있으며, 오른쪽 위를 선택할 수도 있다. 문제에 따라서 다르다. 중요한 것은 어떤 점을 선택하게 되든, 부분직사각형들로 쪼개어진 평면 R자체가 xy평면에서 다루어진다는 사실이다. 즉 어떤
![](data:image/png;base64,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)
점을 선택하게 되더라도 xy평면상의 좌표값으로 나오게 된다는 소리이다. 좌표만 잘 구하면 곧 좌표값에 의해
![](data:image/png;base64,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)
값을 구할 수 있게 되고, 이렇게 구해진 모든 직육면체들을 더한 것이 곧 우리가 구하고자 하는 면적의 문제로서의 적분이 된다.
선택한 점들
![](data:image/png;base64,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)
에 대해서
![](data:image/png;base64,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)
값들, 곧 해당 점에서의 높이값들을 구하게 되면 단일변수에서의 면적 문제에서 했던 것과 같이 수 많은 직사각형들은 밑면적을
![](data:image/png;base64,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)
로 갖고, 높이를
![](data:image/png;base64,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)
로 갖는, 수 많은 직육면체들로서 발생하게 된다.
즉 직육면체 하나의 면적은
![](data:image/png;base64,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)
가 되며, x방향과 y방향 모두에 대한 직육면체들의 면적을 구하면 부피가 된다.
더 정확한 부피의 값을 얻고자 한다면 극한을 도입하면 된다.
이 형태는 곧 단일변수에서 적분을 정의했을 때와 같은 형태다. 즉, 이 형태는 곧 적분의 정의다. 따라서 이중적분을 다음과 같이 정의할 수 있다.
이 때 dx, dy대신에 dA를 쓴다는 것이 눈여겨 볼 만한 사항이다.
우리는 면적(dA)에 대해 적분함으로써 부피를 구하게 된다.
여기까지가 부피의 문제로서 정의되는 이중적분이다.
R의 범위에 대하여, 먼저 그래프를 그리는 게 좋다.
그 다음, 좌표값을 구한다.
구한 좌표값을 대입하여 부피값을 구하여 모두 더해준다.
마지막으로
![](data:image/png;base64,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)
를 구하여 결과를 구한다.
-
이 문제는 오른쪽 위를 특징점으로 잡고 문제를 풀면 된다. xy그래프를 먼저 그리고, 직사각형의 형태로 x의 범위와 y의 범위를 표현하되, m=n=2가 일반적인 방식이다. 즉 x의 범위를 둘로, y의 범위를 둘로 나누어 총 4개의 직사각형이 되도록 만들어 준다. 그 후, 각각의 부분직사각형의 오른쪽 위를 특징점으로 선택하여
![](data:image/png;base64,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)
값들을 구해주고, 한 개의 부분직사각형의 크기인
![](data:image/png;base64,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)
의 값을 구하여 곱한 값들을 모두 더한다.
정답은 24로 나온다.
-
이 문제도 1번 문제와 같지만, mid point 방식으로 풀었을 때 풀린다. 또한 m=n=2로 놓아야 풀리는 문제다.
정답은 21/2로 나온다.
\
-
이 문제는 외워야하는 유형이다. 함수의 형태를 보자.
![](data:image/png;base64,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)
이 형태는 그냥 원의 위쪽 반원 부분이며, 다음과 같이 y방향으로 길게 늘어지는 모양임을 알아야 한다.
이 때 '원의 면적'/2 * y의 구간의 크기가 답이 된다.
정답은 2*pi가 된다.
-
a의 정답은 4,b의 정답은 -19/2이다.
-
정답은 70
-
정답은 -61/16
이거 하나만 기억하면 된다.
면적이 되는 좌표점을 잘 선택하고, 그 좌표점에 해당하는 함수값을 계산 실수 없이 구하고, 부분직사각형의 면적인 dA값을 계산한 후, 부피를 구하면 된다.