Cauchy's Mean Value Theorem - Notes and Analytical Proof

Rolle's Mean Value Theorem (RMVT)

  • Statement and Hypotheses:
    • Let f(x)f(x) be a real-valued function defined on a closed interval [a,b][a, b].
    • Hypothesis 1: f(x)f(x) is continuous on the closed interval [a,b][a, b].
    • Hypothesis 2: f(x)f(x) is differentiable on the open interval (a,b)(a, b).
    • Hypothesis 3: The endpoint function values are equal, such that f(a)=f(b)f(a) = f(b).
  • Conclusion:
    • If all three hypotheses are satisfied, there exists at least one point c×(a,b)c \times (a, b) such that the first derivative vanishes:     f(c)=0f'(c) = 0

Lagrange's Mean Value Theorem (LMVT)

  • Statement and Hypotheses:
    • Let f(x)f(x) be a real-valued function defined on a closed interval [a,b][a, b].
    • Hypothesis 1: f(x)f(x) is continuous on the closed interval [a,b][a, b].
    • Hypothesis 2: f(x)f(x) is differentiable on the open interval (a,b)(a, b).
  • Conclusion:
    • There exists at least one point c(a,b)c \in (a, b) such that the derivative at cc equals the average rate of change over the interval [a,b][a, b]:     f(c)=f(b)f(a)baf'(c) = \frac{f(b) - f(a)}{b - a}
  • Relationship to Rolle's Theorem:
    • Lagrange's Mean Value Theorem is a generalization of Rolle's Mean Value Theorem obtained by relaxing the restriction that f(a)=f(b)f(a) = f(b).

Cauchy's Mean Value Theorem (CMVT)

  • Overview:
    • Cauchy's Mean Value Theorem, also known as the Extended Mean Value Theorem or Generalized Mean Value Theorem, generalizes Lagrange's Mean Value Theorem to a pair of functions f(x)f(x) and g(x)g(x).
  • Hypotheses:
    • Let f(x)f(x) and g(x)g(x) be two real-valued functions defined on a closed interval [a,b][a, b].
    • Hypothesis 1: Both f(x)f(x) and g(x)g(x) are continuous on the closed interval [a,b][a, b].
    • Hypothesis 2: Both f(x)f(x) and g(x)g(x) are differentiable on the open interval (a,b)(a, b).
    • Hypothesis 3: The derivative of the denominator function satisfies g(x)0g'(x) \neq 0 for all x(a,b)x \in (a, b).
  • Conclusion:
    • There exists at least one interior point c(a,b)c \in (a, b) such that:     f(c)g(c)=f(b)f(a)g(b)g(a)\frac{f'(c)}{g'(c)} = \frac{f(b) - f(a)}{g(b) - g(a)}
  • Key Properties and Non-zero Denominator Guarantee:
    • If g(b)=g(a)g(b) = g(a), then by Rolle's Theorem applied to g(x)g(x), there would exist some point where g(c)=0g'(c) = 0. Because Hypothesis 3 explicitly forbids g(x)=0g'(x) = 0 anywhere in (a,b)(a, b), it guarantees that g(b)g(a)g(b) \neq g(a), ensuring the denominator g(b)g(a)g(b) - g(a) is strictly non-zero.

Analytical Proof of Cauchy's Mean Value Theorem

  • Construction of the Auxiliary Function:
    • Define an auxiliary function F(x)F(x) on the interval [a,b][a, b] as a linear combination of f(x)f(x) and g(x)g(x):     F(x)=f(x)+Ag(x)F(x) = f(x) + A \cdot g(x)
    • Here, AA is a constant parameter chosen specifically so that F(x)F(x) satisfies the boundary condition F(a)=F(b)F(a) = F(b).
  • Evaluation of Constant AA:
    • Evaluate F(x)F(x) at the endpoints x=ax = a and x=bx = b:     F(a)=f(a)+Ag(a)F(a) = f(a) + A \cdot g(a)F(b)=f(b)+Ag(b)F(b) = f(b) + A \cdot g(b)
    • Equate F(a)F(a) and F(b)F(b):     f(a)+Ag(a)=f(b)+Ag(b)f(a) + A \cdot g(a) = f(b) + A \cdot g(b)
    • Rearrange the terms to isolate AA:     f(b)f(a)=A(g(b)g(a))f(b) - f(a) = -A \cdot (g(b) - g(a))A=f(b)f(a)g(b)g(a)A = -\frac{f(b) - f(a)}{g(b) - g(a)}
  • Verification of Rolle's Theorem Hypotheses for F(x)F(x):
    • Continuity: Since f(x)f(x) and g(x)g(x) are continuous on [a,b][a, b], F(x)=f(x)+Ag(x)F(x) = f(x) + A \cdot g(x) is continuous on [a,b][a, b].
    • Differentiability: Since f(x)f(x) and g(x)g(x) are differentiable on (a,b)(a, b), F(x)F(x) is differentiable on (a,b)(a, b).
    • Equal Boundary Values: F(a)=F(b)F(a) = F(b) holds by the definition of AA
  • Application of Rolle's Theorem:
    • Because F(x)F(x) satisfies all conditions of Rolle's Mean Value Theorem on [a,b][a, b], there exists at least one point c(a,b)c \in (a, b) such that:     F(c)=0F'(c) = 0
  • Derivative Calculation and Final Substitution:
    • Differentiating F(x)F(x) with respect to xx:     F(x)=f(x)+Ag(x)F'(x) = f'(x) + A \cdot g'(x)
    • Evaluating at x=cx = c:     F(c)=f(c)+Ag(c)=0F'(c) = f'(c) + A \cdot g'(c) = 0f(c)=Ag(c)f'(c) = -A \cdot g'(c)
    • Substituting A=f(b)f(a)g(b)g(a)A = -\frac{f(b) - f(a)}{g(b) - g(a)} into the derivative expression:     f(c)=(f(b)f(a)g(b)g(a))g(c)f'(c) = -\left(-\frac{f(b) - f(a)}{g(b) - g(a)}\right) \cdot g'(c)f(c)=f(b)f(a)g(b)g(a)g(c)f'(c) = \frac{f(b) - f(a)}{g(b) - g(a)} \cdot g'(c)
    • Dividing both sides by g(c)g'(c) (since g(c)0g'(c) \neq 0):     f(c)g(c)=f(b)f(a)g(b)g(a)\frac{f'(c)}{g'(c)} = \frac{f(b) - f(a)}{g(b) - g(a)}

Geometric Interpretation of Cauchy's Mean Value Theorem

  • Parametric Curve Representation:
    • Consider a curve defined parametrically by x=g(t)x = g(t) and y=f(t)y = f(t) for t[a,b]t \in [a, b].
    • The endpoints of the curve corresponding to parameter values t=at = a and t=bt = b are (g(a),f(a))(g(a), f(a)) and (g(b),f(b))(g(b), f(b)).
  • Secant Line Slope:
    • The slope of the secant line (chord) connecting the two endpoints (g(a),f(a))(g(a), f(a)) and (g(b),f(b))(g(b), f(b)) is given by:     Slope of Secant=f(b)f(a)g(b)g(a)\text{Slope of Secant} = \frac{f(b) - f(a)}{g(b) - g(a)}
  • Tangent Line Slope:
    • By parametric differentiation, the slope of the tangent line to the curve at any parameter value tt is given by:     dydx=dydtdxdt=f(t)g(t)\frac{dy}{dx} = \frac{\frac{dy}{dt}}{\frac{dx}{dt}} = \frac{f'(t)}{g'(t)}
  • Geometric Meaning:
    • Cauchy's Mean Value Theorem guarantees the existence of at least one point t=c(a,b)t = c \in (a, b) where the tangent line to the parametric curve is parallel to the secant line connecting the endpoints of the curve.
  • Reduction to Lagrange's Mean Value Theorem:
    • If g(x)=xg(x) = x, then g(x)=1g'(x) = 1, g(a)=ag(a) = a, and g(b)=bg(b) = b
    • Substituting g(x)=xg(x) = x into Cauchy's formula yields:     f(c)1=f(b)f(a)ba\frac{f'(c)}{1} = \frac{f(b) - f(a)}{b - a}f(c)=f(b)f(a)baf'(c) = \frac{f(b) - f(a)}{b - a}
    • This confirms that Lagrange's Mean Value Theorem is a direct special case of Cauchy's Mean Value Theorem.