QUESTIO ESSAY STANDARD
2027학년도 대학별 수리논술 실전 대비
2027학년도 세종대학교 수리논술 기출 문제집 [자연 B형]
수험생 실전 연습용 · 답안 작성 워크스페이스 탑재
🏛️ 세종대학교
5개년 기출 전수 수록 (2026 ~ 2022학년도 총 15문항)
1문항 1페이지 A4 완결형 규격 수록
QUESTIO 입시전략연구소 & 수리논술 평가원
2027 ADMISSION ESSAY SERIES
📝 [문제 1]
정적분으로 정의된 함수와 접선
배점: 230점
[문제 1] 실수 전체의 집합에서 함수 \(f(x)\)를 다음과 같이 정의하자.
\[ f(x) = \int_{\pi/2}^{2\pi} |x-t| \cos\dfrac{t}{2}\,dt \]
(1-1) \(f\left(\dfrac{\pi}{2}\right)\)의 값을 구하시오. 또한 \(x < \dfrac{\pi}{2}\)일 때, \(f'(x)\)를 구하시오. (70점)
(1-2) 함수 \(f(x)\)가 \(x=\alpha\)에서 최댓값을 가질 때, \(\cos\dfrac{\alpha}{2}\)의 값을 구하시오. (80점)
(1-3) 곡선 \(y=f(x)-f\left(\dfrac{\pi}{2}\right)\)와 직선 \(y=\sqrt{2}x+k\)가 만나는 점의 개수가 1이 되도록 하는 실수 \(k\)의 값을 모두 구하시오. (80점)
【 답안 작성 및 실전 연습 공간 (Workspace) 】
📝 [문제 2]
구간별 정의 함수와 미분불가능점
배점: 230점
[문제 2] 삼차함수 \(f(x)\)에 대하여 실수 전체의 집합에서 연속인 함수
\[ g(x) = \begin{cases} -\dfrac{1}{2}x & (x \le 0) \ f(x) & (x > 0) \end{cases} \]
이 다음을 만족시킨다.
(가) \(\displaystyle \lim_{x \to \infty} \dfrac{|g(x)|}{x^3} = 1\)
(나) \(g(x)\)가 극값을 갖는 \(x\)의 값은 \(\alpha\) 하나뿐이다. (단, \(\alpha\)는 실수이다.)
(다) \(\displaystyle \int_{-1}^1 g(x)\,dx = 0\)
(2-1) \(f(x)\)의 최고차항의 계수를 구하시오. (70점)
(2-2) 실수 \(\alpha\)의 값의 범위를 구하시오. (80점)
(2-3) 함수 \(h(x) = |g(x)-f'(0)x|\)에 대하여
\[ D = \{ k \mid h(x)\text{는 } x=k\text{에서 미분가능하지 않다.} \} \]
라 하자. \(D\)의 원소의 개수가 1이 되도록 하는 실수 \(\alpha\)의 값을 모두 구하시오. (80점)
【 답안 작성 및 실전 연습 공간 (Workspace) 】
📝 [문제 3]
베타적분형 수열과 조합의 곱
배점: 240점
[문제 3] \(n=1, 2, 3, \ldots, 100, 101\)에 대하여
\[ a_n = \int_0^1 (2x)^n (1-x)^{102-n} \,dx \]
라 하자.
(3-1) \(\dfrac{a_{98}}{2^{98}} + 3\dfrac{a_{99}}{2^{99}} + 3\dfrac{a_{100}}{2^{100}} + \dfrac{a_{101}}{2^{101}} = \dfrac{p}{q}\)일 때, \(p\)와 \(q\)를 각각 구하시오. (단, \(p, q\)는 서로소인 자연수이다.) (80점)
(3-2) \(\dfrac{a_n}{a_{n+1}} \ge 1\)을 만족시키는 \(n\)을 모두 구하시오. (80점)
(3-3) \(a_n\)이 \(n=m\)에서 최솟값을 가질 때, \(m\)을 구하시오. 또한 \(_{102}\text{C}_m \times a_m = \dfrac{p}{q}\)일 때, \(p\)와 \(q\)를 각각 구하시오. (단, \(p, q\)는 서로소인 자연수이다.) (80점)
【 답안 작성 및 실전 연습 공간 (Workspace) 】
[문제 1] 사차함수의 절댓값 미분가능성과 접선의 기울기 최솟값
수학Ⅱ · 미분과 접선
최고차항의 계수가 \(1\)인 사차함수 \(f(x)\)가 다음 조건을 만족시킨다.
(가) \(f(-1) = 2\)
(나) 함수 \(|f(x)|\)는 \(x=0\)과 \(x=1\)에서만 미분가능하지 않다.
(1-1)
\(f'(0)\)의 값의 범위를 구하시오. (70점)
(1-2)
\(f'(0) = -3\)일 때, \(e^{|f(x)|}\)은 \(x=0\)에서 미분가능하지 않음을 보이시오. (80점)
(1-3)
직선 \(y = mx + n\)이 서로 다른 두 점 \(A(\alpha, f(\alpha))\), \(B(\beta, f(\beta))\)에서 곡선 \(y=f(x)\)에 접하는 경우, \(m\)이 최소일 때 \(f'(0)\)의 값을 구하시오. (80점)
QUESTIO WORKSPACE · 2025 자연B [문제 1]
[문제 2] 삼차함수의 점대칭성과 절댓값 방정식의 실근 및 정적분
수학Ⅱ · 도함수와 정적분
최고차항의 계수가 \(1\)인 삼차함수 \(f(x)\)가 다음 조건을 만족시킨다.
(가) 모든 실수 \(x\)에 대하여 \(f(-x) - f(0) = -\{f(x) - f(0)\}\)
(나) 방정식 \(f(x) = |x|\)의 서로 다른 실근의 개수는 \(2\)이다.
(2-1)
\(f(0)=c\)일 때, 정적분 \(\displaystyle \int_{-1}^1 f(x)\,dx\)의 값을 \(c\)의 식으로 나타내시오. (70점)
(2-2)
\(f(0)=0\)일 때, 방정식 \(f(x)=|x|\)의 \(0\)이 아닌 실근을 \(k\)라 하자. \(k\)의 값의 범위를 구하시오. (80점)
(2-3)
\(f(0) \ne 0\)일 때, 방정식 \(f(x)=|x|\)의 두 실근 중 더 큰 것을 \(\beta\)라 하자. \(\displaystyle \int_{-\beta}^\beta \{f(x) - |x|\}\,dx = 0\)일 때, \(f(x)\)를 구하시오. (80점)
QUESTIO WORKSPACE · 2025 자연B [문제 2]
[문제 3] 우함수의 성질과 치환적분, 도함수를 통한 증가 조건
미적분 · 정적분과 도함수
실수 전체의 집합에서 연속인 함수 \(f(x)\)가 다음 조건을 만족시킨다.
(가) 모든 실수 \(x\)에 대하여 \(f(x) > 0\)이고 \(f(x) = f(-x)\)
(나) \(\displaystyle \int_{-1}^1 f(x)\,dx = C\)
\(F(x) = \displaystyle \int_{-1}^x f(t)\,dt\)라 정의하고 상수 \(a > 0\)에 대하여 \(g(x) = f(ax)F(x)\)라 정의하자.
(3-1)
\(F(x) + F(-x)\)를 \(C\)의 식으로 나타내시오. (80점)
(3-2)
\(f(x) = e^{-x^2}\)일 때, 함수 \(g(x)\)가 구간 \((-1, 1)\)에서 증가함수이기 위한 양수 \(a\)의 최댓값을 \(C\)의 식으로 나타내시오. (80점)
(3-3)
\(F(a) = \frac{2}{3}C\)일 때, \(a \displaystyle \int_{-1}^1 g(x)\,dx\)의 값을 \(C\)의 식으로 나타내시오. (80점)
QUESTIO WORKSPACE · 2025 자연B [문제 3]
[문제 1] 수열의 귀납적 정의와 항의 역추적 탐색
수학Ⅰ · 수열
모든 항이 자연수인 수열 \(\{a_n\}\)이 모든 자연수 \(n\)에 대하여 다음 조건을 만족시킨다.
(가) \(a_n < 10\)이면 \(a_{n+1} = 2a_n\)
(나) \(a_n \ge 10\)이고 \(a_n\)이 짝수이면 \(a_{n+1} = \dfrac{a_n}{2} + n + 1\)
(다) \(a_n \ge 10\)이고 \(a_n\)이 홀수이면 \(a_{n+1} = \dfrac{a_n+1}{2}\)
(1-1)
\(a_2\)가 홀수인 경우 \(a_2\)의 최솟값을 구하고, 이때 가능한 \(a_1\)의 값을 모두 구하시오. (70점)
(1-2)
\(a_2\)와 \(a_3\)이 모두 \(10\) 이하의 짝수인 경우 \(a_1\)의 최댓값을 구하시오. (80점)
(1-3)
\(a_6 = 12\)인 경우 \(a_4\)의 최솟값과 최댓값을 각각 구하시오. (80점)
QUESTIO WORKSPACE · 2024 자연B [문제 1]
[문제 2] 그래프의 개형, 구간별 정적분과 부분적분법
수학Ⅱ · 미적분
실수 전체의 집합에서 정의된 함수 \(f(x) = (1+|x|^3)^{-2}\)에 대하여 함수 \(g(x)\)를 다음과 같이 정의한다.
\[
g(x) = \int_x^{x+4} f(t)\,dt
\]
(2-1)
\(f'(x) < 0\)을 만족시키는 실수 \(x\)의 값의 범위를 구하시오. 또한 \(f''(x) < 0\)을 만족시키는 실수 \(x\)의 값의 범위를 구하시오. (70점)
(2-2)
함수 \(y=f(x)\)의 그래프의 개형을 그리시오. 또한 함수 \(g(x)\)가 \(x=a\)에서 최댓값을 가질 때, \(a\)의 값을 구하시오. (80점)
(2-3)
(2-2)의 \(a\)에 대하여 \(\displaystyle\int_0^a t^3 f(t)\,dt = S\)라고 할 때, \(g(a) - 4S\)의 값을 구하시오. (80점)
QUESTIO WORKSPACE · 2024 자연B [문제 2]
[문제 3] 사인법칙과 호의 둘레 함수, 함수의 대칭성과 최솟값
수학Ⅰ · 미적분
![[그림 1]](data:image/png;base64,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)
그림과 같이 좌표평면에 중심이 \(O_1, O_2\)이고 반지름의 길이가 각각 \(r_1, r_2\)인 두 원 \(C_1, C_2\)가 있다. 두 점 \(O_1, O_2\) 사이의 거리는 \(1\)이다. (단, \(0 \lt r_1 \lt 1, 0 \lt r_2 \lt 1\))
\(C_1\)과 \(C_2\)의 교점 중 하나를 \(P\)라 할 때, 점 \(P\)에서 두 원의 접선이 이루는 예각이 \(\dfrac{\pi}{6}\)이다. \(\angle PO_1O_2 = \alpha\)라 하고, 굵은 선으로 표시된 모양의 도형의 길이를 \(f(\alpha)\)라 하자.
(3-1)
\(\angle PO_2O_1\)의 크기를 \(\alpha\)의 식으로 나타내고 \(\alpha\)의 범위를 구하시오. 또한 \(f(\alpha)\)를 구하시오. (80점)
(3-2)
![[그림 2]](data:image/png;base64,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)
위의 그림에서 \(C_2\) 중 굵은 선으로 표시된 모양의 호의 길이를 \(g(\alpha)\)라 할 때, \(a < g'(\alpha) < b\)이다. \(a\)의 최댓값과 \(b\)의 최솟값을 각각 구하시오.
(80점)
(3-3)
\(f(\alpha)\)가 최소가 되도록 하는 \(\alpha\)의 값을 구하시오. (80점)
QUESTIO WORKSPACE · 2024 자연B [문제 3]
[문제 1] 대칭·주기함수와 역함수의 미분법 및 할선의 기울기
수학 · 미적분
실수 전체의 집합에서 정의된 함수 \(f(x)\)는 다음을 만족시킨다.
(가) \(0 \le x \le 2\)일 때 \(f(x) = x^3 - 3x^2 + 4\)이다.
(나) 임의의 실수 \(x\)에 대하여 \(f(-x) = f(x)\)이다.
(다) 임의의 실수 \(x\)에 대하여 \(f(x) = f(x+4)\)이다.
열린구간 \((2, 4)\)에서 정의된 함수 \(h(x)\)는 열린구간 \((2, 4)\)에 속하는 모든 \(x\)에 대하여 \(h(x) = f(x)\)이다. \(h(x)\)의 역함수를 \(h^{-1}(x)\)라 하자.
(1-1)
\(h^{-1}(2)\)를 구하시오. (70점)
(1-2)
\((h^{-1})'(2)\)를 구하시오. (80점)
(1-3)
실수 \(t > 0\)에 대하여 두 점 \((0, f(0))\)과 \((t, f(t))\)를 지나는 직선의 기울기를 \(g(t)\)라 하자. \((h^{-1})'(x) = |g(t)|\)를 만족시키는 실수 \(x\)가 존재하도록 하는 \(t\)의 최댓값을 \(t_0\)이라 할 때, \(n \lt t_0 \lt n+1\)을 만족시키는 자연수 \(n\)을 구하시오. (80점)
QUESTIO WORKSPACE · 2023 자연B [문제 1]
[문제 2] 삼각함수와 로그함수의 치환적분법 및 부분적분법
미적분 · 여러 가지 적분법
\(e^{-\pi/2} \lt x \lt e^{\pi/2}\)에 대하여 \(f(x) = \displaystyle\int_e^x \tan(\ln t)\,dt\)라 하자.
(2-1)
\(f(x)\)가 최소가 되는 \(x\)의 값을 구하시오. (70점)
(2-2)
\(f(1) = a\)라 할 때, \(\displaystyle\int_0^1 e^x \tan^2 x\,dx\)를 \(a\)의 식으로 나타내시오. (80점)
(2-3)
\(\displaystyle\int_{1/e}^e \dfrac{f'(x)}{x^2}\,dx - f\left(\dfrac{1}{e}\right)\)을 구하시오. (80점)
QUESTIO WORKSPACE · 2023 자연B [문제 2]
[문제 3] 직사각형 둘레 거리함수의 볼록성 및 접선이 이루는 각
미적분 · 도함수 활용
![[문제 3 직사각형]](data:image/png;base64,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)
그림과 같이 가로의 길이가 \(a > 1\)이고 세로의 길이가 \(1\)인 직사각형이 있다. 꼭짓점 \(A\)에서 출발하여 직사각형의 네 변을 따라서 시계 방향으로 이동한 거리가 \(s\)인 위치의 점 \(P(s)\)와 점 \(A\) 사이의 거리를 \(f(s)\)라 하자. (단, \(0 \le s \le 2a+2\))
또한 곡선 \(y=f(s)\) 위의 점 \((t, f(t))\)에서의 접선을 \(\ell_t\)라 하자. (단, \(1 \lt t \lt a+1\) 또는 \(a+1 \lt t \lt a+2\))
(3-1)
\(0 \le s \le 2a+2\)에서 \(f(s)\)를 구하시오. 또한 곡선 \(y=f(s)\) 위의 점 \((2, f(2))\)에서의 접선 \(\ell_2\)의 방정식을 구하시오. (80점)
(3-2)
\(1 < \alpha < a+1\)일 때 \(\ell_\alpha\)와 곡선 \(y=f(s)\)의 교점의 개수를 \(\alpha\)의 값의 범위에 따라 구하시오. 또한 \(a+1 < \beta < a+2\)일 때 \(\ell_\beta\)와 곡선 \(y=f(s)\)의 교점의 개수를 구하시오. (80점)
(3-3)
\(1 < \alpha < a+1\)이고 \(a+1 < \beta < a+2\)인 \(\alpha, \beta\)에 대하여 두 직선 \(\ell_\alpha\)와 \(\ell_\beta\)가 이루는 예각을 \(\theta(\alpha, \beta)\)라 하자. 실수 \(a > 1\)에 대하여 집합 \(I_a = \{ \theta(\alpha, \beta) \mid 1 < \alpha < a+1, a+1 < \beta < a+2 \}\)가 열린구간 \((L(a), R(a))\)일 때, \(\displaystyle\lim_{a \to \infty} L(a)\)와 \(\displaystyle\lim_{a \to \infty} R(a)\)를 각각 구하시오. (80점)
QUESTIO WORKSPACE · 2023 자연B [문제 3]
[문제 1] 동적 삼각형의 삼각비와 변의 길이 극한 및 외심 사각형 넓이 변화율
수학Ⅱ · 미적분
아래 그림에 있는 삼각형 \(\mathrm{ABC}\)는 시각 \(t \ge 0\)에 따라 크기가 변하며, 다음 조건을 만족시킨다.
(가) 시각 \(t=0\)에서 \(\overline{\mathrm{BC}} = 1\)이다.
(나) 임의의 시각 \(t \ge 0\)에서 \(\angle\mathrm{B} = \dfrac{\pi}{4}\)이고 \(\overline{\mathrm{BC}} : \overline{\mathrm{AB}} = 1 : 2\sqrt{2}\)이다.
(다) 임의의 시각 \(t > 0\)에서 삼각형 \(\mathrm{ABC}\)의 넓이의 순간변화율은 \(\dfrac{4t+6}{3}\)이다.
(1-1)
\(\sin\mathrm{C}\)를 구하시오. (70점)
(1-2)
시각 \(t\)에서 선분 \(\mathrm{BC}\)의 길이를 \(\ell(t)\)라 할 때, \(\displaystyle\lim_{t \to \infty} \dfrac{\ell(t)}{t}\)의 값을 구하시오. (80점)
(1-3)
삼각형 \(\mathrm{ABC}\)의 외심을 \(\mathrm{Z}\)라 하자. 선분 \(\mathrm{BC}\)의 길이가 5일 때, 사각형 \(\mathrm{ZBCA}\)의 넓이의 순간변화율을 구하시오. (80점)
QUESTIO WORKSPACE · 2022 자연B [문제 1]
[문제 2] 배각 함수 방정식과 치환적분법 및 삼차함수 계수 결정
수학Ⅱ · 미적분
실수 전체의 집합에서 미분가능한 함수 \(f(x)\)는 다음 조건을 만족시킨다.
(가) 모든 실수 \(x\)에 대하여 \(f(2x) = 4f(x)\)이다.
(나) \(\displaystyle\int_1^2 f(x)\,dx = 6\)
(다) 최고차항의 계수가 1인 삼차함수 \(g(x)\)에 대하여 \(1 \le x \le 2\)에서 \(f(x) = g(x)\)이다.
(2-1)
\(\displaystyle\int_1^3 2^x f(2^x)\,dx\)를 구하시오. (70점)
(2-2)
\(\displaystyle\int_0^1 f(x)\,dx\)를 구하시오. (80점)
(2-3)
함수 \(g(x)\)를 구하시오. (80점)
QUESTIO WORKSPACE · 2022 자연B [문제 2]
[문제 3] 코사인 합성함수와 부분적분법 및 대칭 곡선과 역함수 미분법
수학Ⅱ · 미적분
닫힌구간 \([-1, 1]\)에서 연속이고 열린구간 \((-1, 1)\)에서 이계도함수가 존재하는 함수 \(f(x)\)가 다음 조건을 만족시킨다.
(가) \(0 \lt x \lt \pi\)일 때 \(f'(\cos x) = e^x\)이다.
(나) \(f(1) = 0\)
\(0 \le x \le 2\pi\)일 때 함수 \(g(x)\)를 \(g(x) = f(\cos x)\)라 정의하자. 다음 물음에 각각 답하시오.
(3-1)
\(0 \le x \le \pi\)일 때 \(g(x)\)를 구하시오. (80점)
(3-2)
\(\pi \le x \le 2\pi\)일 때 함수 \(g(x)\)를 구하고, \(0 \le x \le 2\pi\)일 때 곡선 \(y=g(x)\)의 그래프의 개형을 그리시오. 또한 이 곡선이 \(x\)축과 만나는 점의 \(x\)좌표와 변곡점의 \(x\)좌표를 모두 구하고 함수 \(g(x)\)의 최솟값을 \(m\), 최댓값을 \(M\)이라 할 때 상수 \(m\)과 \(M\)을 각각 구하시오. (80점)
(3-3)
(3-2)에서 구한 상수 \(m\)과 \(M\)에 대하여 열린구간 \((m, M)\)을 \(I\)라 하자. 실수 \(t \in I\)에 대하여 직선 \(y=t\)가 곡선 \(y=g(x)\)와 만나서 생기는 두 점 사이의 거리를 \(h(t)\)라 정의하자. 미분가능한 함수 \(h(t)\)에 대하여 \(h(k) = \pi\)일 때 상수 \(k\)와 \(h'(k)\)의 값을 각각 구하시오. (80점)
QUESTIO WORKSPACE · 2022 자연B [문제 3]