Continuity, Differentiability, and Fundamental Calculus Theorems

Continuity at a Point

  • Precise Three-Part Definition of Continuity:

    • A function ff is continuous at a specific point aa (the point of interest) if and only if all three of the following conditions are simultaneously satisfied:

    • 1. f(a)f(a) is defined:

      • The value aa must reside within the domain of the function ff.

      • If aa is not in the domain of ff, the function undefined at that coordinate cannot be continuous there.

    • 2. lim⁡x→af(x)\lim_{x \to a} f(x) exists:

      • The two-sided limit requires that the function approaches the same finite real number from both the left and the right sides:         lim⁡x→a−f(x)=lim⁡x→a+f(x)\lim_{x \to a^-} f(x) = \lim_{x \to a^+} f(x)

      • If the left-hand limit and right-hand limit disagree, or if the function grows without bound toward positive or negative infinity, the limit fails to exist.

    • 3. lim⁡x→af(x)=f(a)\lim_{x \to a} f(x) = f(a)

      • The limiting value approached by the function as xx approaches aa must exactly equal the actual value obtained by evaluating the function at aa.

  • Analytical Consequences of Violating Continuity Conditions:

    • If condition 1 fails, the graph displays a missing point (a hole) or an asymptote.

    • If condition 2 fails, the graph exhibits a jump discontinuity or an infinite/oscillatory discontinuity.

    • If condition 3 fails while conditions 1 and 2 hold, the graph exhibits a removable discontinuity where a single point is displaced from the curve.

Differentiability

  • Necessary Conditions for Differentiability at a Point:

    • For a function ff to be differentiable at a point aa (the point of interest), it must satisfy four core conditions:

    • 1. Continuous at aa (the point of interest):

      • Continuity is a strict prerequisite for differentiability. A function cannot possess a derivative at any point where it fails to be continuous.

    • 2. lim⁡x→af′(x)\lim_{x \to a} f'(x) exists (and both left and right sides are equal):

      • The derivative limit must exist from both directions, meaning the left-hand derivative and right-hand derivative must be finite and equal:         lim⁡x→a−f(x)−f(a)x−a=lim⁡x→a+f(x)−f(a)x−a\lim_{x \to a^-} \frac{f(x) - f(a)}{x - a} = \lim_{x \to a^+} \frac{f(x) - f(a)}{x - a}

    • 3. No sharp corners or cusps:

      • A sharp corner occurs where the left-hand and right-hand slopes approach different finite values.

      • A cusp occurs where slopes approach opposite infinities.

      • The presence of either feature causes the limit defining the derivative to fail to exist.

    • 4. No vertical tangents:

      • A vertical tangent occurs when the slope of the tangent line approaches infinity (∞\infty or −∞-\infty).

      • Because infinite slope is not a real number, the derivative does not exist at points featuring a vertical tangent line.

Domain and Differentiability of Particular Functions

  • Differentiability Domain of 1x\frac{1}{x} and ∣x∣|x|:

    • The functions 1x\frac{1}{x} and ∣x∣|x| are differentiable on their domain, which is:     (−∞,0)∪(0,∞)(-\infty, 0) \cup (0, \infty)

  • In-Depth Analysis of f(x)=1xf(x) = \frac{1}{x}:

    • Domain:     (−∞,0)∪(0,∞)(-\infty, 0) \cup (0, \infty)

    • The value x=0x = 0 is excluded from the domain because division by zero is undefined.

    • At every point where x≠0x \neq 0, the derivative is given by:     f′(x)=−1x2f'(x) = -\frac{1}{x^2}

    • Because f(x)f(x) is undefined at x=0x = 0, it is discontinuous and non-differentiable at 00, but differentiable everywhere else in its domain.

  • In-Depth Analysis of f(x)=∣x∣f(x) = |x|:

    • The absolute value function is defined for all real numbers, but its differentiability domain is:     (−∞,0)∪(0,∞)(-\infty, 0) \cup (0, \infty)

    • Evaluation at the corner point x=0x = 0:

    • For x>0x > 0, f(x)=xf(x) = x and the derivative is 11.

    • For x<0x < 0, f(x)=−xf(x) = -x and the derivative is −1-1.

    • Because the left-hand limit (−1-1) and right-hand limit (11) do not match, a sharp corner exists at x=0x = 0.

    • Consequently, ∣x∣|x| is continuous everywhere on (−∞,∞)(-\infty, \infty), but differentiable only on (−∞,0)∪(0,∞)(-\infty, 0) \cup (0, \infty).

Intermediate Value Theorem (IVT)

  • Statement and Hypotheses:

    • Let ff be a function that is continuous (cts) on the closed interval [a,b][a, b].

    • Let NN be any number between f(a)f(a) and f(b)f(b), where:     f(a)≠f(b)f(a) \neq f(b)

  • Conclusion:

    • Then there exists a number cc in the open interval (a,b)(a, b) such that:     f(c)=Nf(c) = N

  • Geometric and Conceptual Meaning:

    • A continuous function cannot transition from one output value to another without passing through every single intermediate value between them.

    • On the coordinate plane, any horizontal line y=Ny = N situated between y=f(a)y = f(a) and y=f(b)y = f(b) must cross the graph of y=f(x)y = f(x) at least once on the interval (a,b)(a, b).

    • This theorem forms the mathematical foundation for root-finding: if f(a)f(a) and f(b)f(b) have opposite signs, there is guaranteed to be at least one root c∈(a,b)c \in (a, b) where f(c)=0f(c) = 0.

Extreme Value Theorem (EVT)

  • Statement and Hypotheses:

    • If a function (fnf^n) ff is continuous (cts) on a closed interval [a,b][a, b]:

  • Conclusion:

    • Then ff attains an absolute maximum f(c)f(c) and an absolute minimum f(d)f(d) at some numbers cc and dd in [a,b][a, b].

  • Analytical Requirements and Significance:

    • Both conditions—continuity and a closed interval—are mandatory:

    • If the interval is open, such as (a,b)(a, b), the function may approach an upper or lower supremum without ever achieving it as an attained maximum or minimum value.

    • If the function contains a discontinuity inside [a,b][a, b], the extreme values can fail to exist entirely.

    • The locations cc and dd where absolute extremes occur will always be found either at the endpoints of the interval (x=ax = a or x=bx = b) or at critical numbers in the interior open interval (a,b)(a, b) where f′(x)=0f'(x) = 0 or f′(x)f'(x) is undefined.

Rolle's Theorem

  • Statement and Hypotheses:

    • Let ff be a function (fnf^n) that satisfies the following three hypotheses:

    • 1. ff is continuous (cts) on the closed interval [a,b][a, b]

    • 2. ff is differentiable on the open interval (a,b)(a, b)

    • 3. f(a)=f(b)f(a) = f(b)

  • Conclusion:

    • Then there is a number cc in the open interval (a,b)(a, b) such that:     f′(c)=0f'(c) = 0

  • Geometric Interpretation:

    • If a smooth, continuous path begins and ends at identical heights on a graph, the curve must either be completely horizontal throughout, or turn around at least once to return to its initial elevation.

    • At that turnaround point cc, the tangent line to the curve is completely horizontal, with a slope of zero.

Mean Value Theorem (MVT)

  • Statement and Hypotheses:

    • Let ff be a function (fnf^n) that satisfies the hypotheses:

    • 1. ff is continuous (cts) on the closed interval [a,b][a, b]

    • 2. ff is differentiable on the open interval (a,b)(a, b)

  • Conclusion:

    • Then there is a number cc in the open interval (a,b)(a, b) such that:     f′(c)=f(b)−f(a)b−af'(c) = \frac{f(b) - f(a)}{b - a}

  • Geometric and Physical Meaning:

    • The term on the right represents the average rate of change over the interval, or the slope of the secant line connecting (a,f(a))(a, f(a)) and (b,f(b))(b, f(b)):     Secant Slope=f(b)−f(a)b−a\text{Secant Slope} = \frac{f(b) - f(a)}{b - a}

    • The term on the left represents the instantaneous rate of change at the point cc, or the slope of the tangent line:     Tangent Slope=f′(c)\text{Tangent Slope} = f'(c)

    • The Mean Value Theorem guarantees that there is at least one point c∈(a,b)c \in (a, b) where the instantaneous rate of change exactly equals the average rate of change, making the tangent line parallel to the secant line.

  • Connection to Rolle's Theorem:

    • Rolle's Theorem is the specific case of the Mean Value Theorem where f(a)=f(b)f(a) = f(b).

    • When f(a)=f(b)f(a) = f(b), the average rate of change evaluates to:     f(b)−f(a)b−a=0b−a=0\frac{f(b) - f(a)}{b - a} = \frac{0}{b - a} = 0

    • Substituting this into the Mean Value Theorem formula yields:     f′(c)=0f'(c) = 0