Grade 12 Mathematics: Derivatives and Their Applications

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Vocabulary flashcards covering Grade 12 calculus concepts including definitions, differentiation formulas, monotonicity, extrema, limits, asymptotes, and curve sketching procedures.

20 Terms

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Derivative of a function at a point

The finite limit lim⁡x→x0f(x)−f(x0)x−x0\lim_{x \to x_0} \frac{f(x) - f(x_0)}{x - x_0}, denoted as f′(x0)f'(x_0) or y′(x0)y'(x_0), for a function y=f(x)y = f(x) defined on an interval (a;b)(a; b) containing x0x_0.

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Instantaneous velocity

The physical rate of change of a rectilinear motion s=s(t)s = s(t) at time t0t_0, defined as v(t0)=s′(t0)v(t_0) = s'(t_0).

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Tangent line equation

The equation of the tangent line to the graph of y=f(x)y = f(x) at point M(x0;f(x0))M(x_0; f(x_0)), given by y=f′(x0)(x−x0)+f(x0)y = f'(x_0)(x - x_0) + f(x_0), where f′(x0)f'(x_0) is the slope.

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Chain rule for composite functions

If u=g(x)u = g(x) has derivative ux′u'_x and y=f(u)y = f(u) has derivative yu′y'_u, the composite function y=f(g(x))y = f(g(x)) has derivative yx′=yu′⋅ux′y'_x = y'_u \cdot u'_x.

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Quotient rule for differentiation

The differentiation formula for the division of two functions: (fg)′=f′g−fg′g2\left(\frac{f}{g}\right)' = \frac{f'g - fg'}{g^2}, where g=g(x)≠0g = g(x) \neq 0.

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Derivative of tan⁡(u)\tan(u) and cot⁡(u)\cot(u)

The differentiation formulas for trigonometric composite functions: (tan⁡(u))′=u′cos⁡2(u)(\tan(u))' = \frac{u'}{\cos^2(u)} and (cot⁡(u))′=−u′sin⁡2(u)(\cot(u))' = -\frac{u'}{\sin^2(u)}.

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Derivative of aua^u and log⁡a(u)\log_a(u)

The differentiation formulas for exponential and logarithmic composite functions: (au)′=u′⋅auln⁡(a)(a^u)' = u' \cdot a^u \ln(a) and (log⁡a(u))′=u′uln⁡(a)(\log_a(u))' = \frac{u'}{u \ln(a)}.

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Increasing function (đồng biến)

A function y=f(x)y = f(x) defined on KK such that for all x1,x2∈Kx_1, x_2 \in K, if x1<x2x_1 < x_2, then f(x1)<f(x2)f(x_1) < f(x_2).

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Decreasing function (nghịch biến)

A function y=f(x)y = f(x) defined on KK such that for all x1,x2∈Kx_1, x_2 \in K, if x1<x2x_1 < x_2, then f(x1)>f(x2)f(x_1) > f(x_2).

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Monotonicity theorem

For a function f(x)f(x) differentiable on KK with f′(x)=0f'(x) = 0 only at finitely many points: if f′(x)>0f'(x) > 0 for all x∈Kx \in K, f(x)f(x) is increasing on KK; if f′(x)<0f'(x) < 0 for all x∈Kx \in K, f(x)f(x) is decreasing on KK.

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Local maximum point of a function

A point x0x_0 for which there exists an interval (a;b)⊂K(a; b) \subset K containing x0x_0 such that f(x)<f(x0)f(x) < f(x_0) for all x∈(a;b)x \in (a; b) with x≠x0x \neq x_0.

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Local minimum point of a function

A point x0x_0 for which there exists an interval (c;d)⊂K(c; d) \subset K containing x0x_0 such that f(x)>f(x0)f(x) > f(x_0) for all x∈(c;d)x \in (c; d) with x≠x0x \neq x_0.

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Extremum point of a graph

The coordinate point M(x0;f(x0))M(x_0; f(x_0)) on the Cartesian plane, where x0x_0 is a local extremum point of the function y=f(x)y = f(x).

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First derivative test for extrema

A test on continuous f(x)f(x): if f′(x)>0f'(x) > 0 on (a;x0)(a; x_0) and f′(x)<0f'(x) < 0 on (x0;b)(x_0; b), x0x_0 is a local maximum; if f′(x)<0f'(x) < 0 on (a;x0)(a; x_0) and f′(x)>0f'(x) > 0 on (x0;b)(x_0; b), x0x_0 is a local minimum.

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Maximum value of a function (max⁡Df(x)\max_D f(x))

A real number MM such that f(x)≤Mf(x) \le M for all x∈Dx \in D and there exists at least one x0∈Dx_0 \in D such that f(x0)=Mf(x_0) = M.

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Minimum value of a function (min⁡Df(x)\min_D f(x))

A real number mm such that f(x)≥mf(x) \ge m for all x∈Dx \in D and there exists at least one x0∈Dx_0 \in D such that f(x0)=mf(x_0) = m.

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Horizontal asymptote

The line y=y0y = y_0 where either lim⁡x→+∞f(x)=y0\lim_{x \to +\infty} f(x) = y_0 or lim⁡x→−∞f(x)=y0\lim_{x \to -\infty} f(x) = y_0.

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Vertical asymptote

The line x=x0x = x_0 where at least one of the one-sided limits lim⁡x→x0+f(x)\lim_{x \to x_0^+} f(x) or lim⁡x→x0−f(x)\lim_{x \to x_0^-} f(x) equals +∞+\infty or −∞-\infty.

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Oblique asymptote

The line y=ax+by = ax + b (a≠0a \neq 0) where either lim⁡x→+∞[f(x)−(ax+b)]=0\lim_{x \to +\infty} [f(x) - (ax + b)] = 0 or lim⁡x→−∞[f(x)−(ax+b)]=0\lim_{x \to -\infty} [f(x) - (ax + b)] = 0.

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Function investigation procedure

A 3-step graphing process: Step 1: Find the domain; Step 2: Examine variation (limits, asymptotes, derivative sign, variation table, extrema); Step 3: Sketch the graph (asymptotes, special points, symmetry).