Calculus Terms

  1. Function 함수
    • A relation in which each input corresponds to exactly one output. Represented as .
    • 함수는 각 입력값에 대해 정확히 하나의 출력값이 대응되는 관계입니다.
  2. Limit 극한
    • The value that a function approaches as the input approaches a specific value.
    • 극한은 함수가 특정 값에 가까워질 때, 그 함수값이 어떤 값에 수렴하는지를 나타내는 개념입니다.
  3. Differential Coefficient 미분계수
    • The value of the derivative of a function at a particular point, representing the slope of the tangent line at that point.
    • 미분계수는 특정 점에서 함수의 미분값으로, 그 점에서의 접선의 기울기를 나타냅니다.
  4. Derivative 미분
    • A measure of how a function changes as its input changes. It represents the slope of the tangent line to the curve at a given point.
    • 미분은 함수의 입력값이 변화함에 따라 함수가 어떻게 변화하는지 측정하는 것입니다. 이는 주어진 점에서 곡선의 접선의 기울기를 나타냅니다.
  5. Integral 적분
    • The process of finding the area under a curve. It represents accumulation or the total sum.
    • 적분은 곡선 아래의 면적을 구하는 과정입니다. 누적된 양이나 총합을 나타냅니다.
  6. Convergence 수렴
    • A property of a sequence or series that approaches a specific value as its terms progress.
    • 수렴은 수열 또는 급수가 진행됨에 따라 특정 값에 점차 가까워지는 성질을 의미합니다.
  7. Divergence 발산
    • The opposite of convergence; when a sequence or series does not approach a finite value.
    • 발산은 수렴의 반대 개념으로, 수열이나 급수가 유한한 값에 가까워지지 않는 경우를 의미합니다.

Question: 문제:
Investigate the convergence or divergence of the following sequence, and if it converges, find its limit: 다음 수열의 수렴, 발산을 조사하고, 수렴하면 그 극한값을 구하시오.
Explanation: 해설:
Let the general term of the given sequence be . As shown in the diagram below, as the value of increases indefinitely, becomes arbitrarily close to . Therefore, this sequence converges to .
Therefore,
주어진 수열의 일반항을 이라 하면, 그림과 같이 의 값이 한없이 커질 때, 의 값은 에 한없이 가까워지므로 이 수열은 에 수렴한다.
따라서
Question: 문제: Investigate the convergence or divergence of the following sequence, and if it converges, find its limit:1,(1)/(2),(1)/(3),(1)/(4),(1)/(5),cdots,(1)/(n),cdots 다음 수열의 수렴, 발산을 조사하고, 수렴하면 그 극한값을 구하시오. 1,(1)/(2),(1)/(3),(1)/(4),(1)/(5),cdots,(1)/(n),cdots Explanation: 해설: Let the general term of the given sequence be a_(n). As shown in the diagram below, as the value of n increases indefinitely, a_(n) becomes arbitrarily close to 0. Therefore, this sequence converges to 0. 'data:image/png;base64,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' Therefore, lim_(n rarr oo)(1)/(n)=0 주어진 수열의 일반항을 a_(n)이라 하면, 그림과 같이 n의 값이 한없이 커질 때, a_(n)의 값은 0에 한없이 가까워지므로 이 수열은 0에 수렴한다.'data:image/png;base64,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' 따라서 lim_(n rarr oo)(1)/(n)=0

  1. Squeeze(Sandwich) Theorem 스퀴즈(샌드위치) 정리
    • A theorem that states if a function is “squeezed” between two other functions that converge to the same limit, then it also converges to that limit.
    • 스퀴즈(샌드위치) 정리는 어떤 함수가 동일한 극한값으로 수렴하는 두 함수 사이에 끼워져 있을 때, 그 함수도 같은 극한값으로 수렴한다는 정리입니다.

Question: 문제:
For all real numbers , the function satisfies the inequality: and . Determine the value of the constant . 인 모든 실수 에 대하여 함수 를 만족시키고 일 때, 상수 의 값을 구하시오.
Explanation: 해설:
Using the Sandwich Theorem, we know that: From the given inequality, 샌드위치 정리를 사용하면 이므로
Question: 문제: For all real numbers x > 0, the function f(x) satisfies the inequality:x^(2)+ax <= (f(x))/(7x) <= 3x^(2)+axand lim_(x rarr0^(+))(f(x))/(x^(2))=14. Determine the value of the constant a. x > 0인 모든 실수 x에 대하여 함수 f(x)가 x^(2)+ax <= (f(x))/(7x) <= 3x^(2)+ax를 만족시키고 lim_(0+)(f(x))/(x^(2))=14일 때, 상수 a의 값을 구하시오. Explanation: 해설: Using the Sandwich Theorem, we know that:lim_(x rarr0+)(f(x))/(x^(2))=14From the given inequality, {:[lim_(x rarr0+)(x^(2)+ax)/(x) <= lim_(x rarr0+)(f(x))/(7x^(2)) <= lim_(x rarr0+)(3x^(2)+ax)/(x)],[a <= 2 <= a],[a=2]:} 샌드위치 정리를 사용하면 lim_(x rarr0+)(f(x))/(x^(2))=14이므로 {:[lim_(x rarr0+)(x^(2)+ax)/(x) <= lim_(x rarr0+)(f(x))/(7x^(2)) <= lim_(x rarr0+)(3x^(2)+ax)/(x)],[a <= 2 <= a],[a=2]:}

  1. Rolle’s Theorem (Mean Value Theorem) 롤의 정리, 평균값 정리
    • A theorem stating that if a function is continuous on a closed interval and differentiable on the open interval, and its values are equal at the endpoints, then there is at least one point in the interval where the derivative is zero.
    • 롤의 정리는 함수가 닫힌 구간에서 연속이고 열린 구간에서 미분가능하며, 구간 끝점에서의 함수값이 같을 때 구간 내에서 미분값이 0이 되는 점이 적어도 하나 존재한다는 정리입니다.
  2. Chain Rule 연쇄법칙, 합성함수의 미분법
    • A rule for finding the derivative of the composition of two or more functions.
    • 연쇄법칙은 두 개 이상의 함수로 이루어진 합성 함수의 미분을 구하는 규칙입니다.
  3. Product Rule 곱의 미분법
    • A rule for finding the derivative of the product of two functions.
    • If and are functions, then:
    • 곱셈법칙은 두 함수의 곱의 미분을 구하는 규칙입니다.
  4. Quotient Rule 몫의 미분법
    • A rule for finding the derivative of the quotient of two functions.
    • and are functions, then:
    • 두 함수의 몫의 미분을 구하는 규칙입니다.
  5. Definite Integral 정적분
    • The integral of a function over a specific interval. It represents the exact area under the curve between two points.
    • 정적분은 특정 구간에 대해 함수의 적분을 구하는 것으로, 두 점 사이의 곡선 아래 면적을 정확히 나타냅니다.
  6. Indefinite Integral 부정적분
    • The integral of a function without specified limits. It represents a family of functions with an arbitrary constant.
    • 부정적분은 한정된 구간 없이 함수의 적분을 구하는 것입니다. 이는 임의의 상수를 포함한 함수들의 집합을 나타냅니다.
  7. Critical Point 극값점
    • A point where the derivative of a function is zero or undefined, potentially indicating a local maximum or minimum.
    • 극값점은 함수의 미분값이 0이거나 정의되지 않는 점으로, 이는 국소 최대값 또는 최소값을 나타낼 수 있습니다.
  8. Concavity 볼록성/오목성
    • The shape of a function’s graph, where the function is concave up if its second derivative is positive and concave down if its second derivative is negative.
    • 볼록성은 함수 그래프의 모양을 나타내며, 두 번째 미분이 양수일 때 함수는 볼록하고, 음수일 때 오목합니다.
  9. Local Maximum/Minimum 극대/극소
    • A point on the graph of a function where the function reaches a local highest or lowest value within a certain neighborhood.
    • 함수 그래프에서 특정 구간 내에서 함수가 국소적으로 가장 큰 값이나 작은 값을 가지는 점입니다.

Question: 문제:
The function has a local maximum at and a local minimum at . Find the value of , where and are constants. 함수 에서 극대이고, 에서 극소일 때, 의 값은? (단, 는 상수이다.)
Explanation: 해설:
Question: 문제: The function f(x)=x^(3)+(3x^(2))/(2)-6x-5 has a local maximum at x=alpha and a local minimum at x=beta. Find the value of beta-alpha, where alpha and beta are constants. 함수 f(x)=x^(3)+(3x^(2))/(2)-6x-5가 x=alpha에서 극대이고, x=beta에서 극소일 때, beta-alpha의 값은? (단, alpha,beta는 상수이다.) Explanation: 해설: f^(')(x)=3x^(2)+3x-6=3(x-1)(x+2) 'data:image/png;base64,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' {:[alpha=-2","quad beta=1],[beta-alpha=3]:} f^(')(x)=3x^(2)+3x-6=3(x-1)(x+2) 'data:image/png;base64,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' {:[alpha=-2","quad beta=1],[beta-alpha=3]:}

  1. Global Maximum/Minimum 최대/최소
    • The highest or lowest value of a function over its entire domain.
    • 함수의 전체 정의역에서 가장 큰 값이나 가장 작은 값입니다.
  2. L’Hopital’s Rule 로피탈의 법칙
    • A rule for finding the limit of indeterminate forms, such as or , by differentiating the numerator and denominator.
    • 로피탈의 법칙은 또는 와 같은 불확정형의 극한을 구할 때 분자와 분모를 미분하여 극한을 계산하는 규칙입니다.
  3. Implicit Differentiation 음함수의 미분법
    • A method for differentiating equations where the dependent and independent variables are mixed together, often used for finding the derivative of implicitly defined functions.
    • 음함수의 미분법은 종속 변수와 독립 변수가 혼합된 방정식을 미분하는 방법으로, 음함수로 정의된 함수의 미분을 구할 때 사용됩니다.