Derivatives and Functional Derivatives!

Calculus Level 5

Suppose that f ( x ) f(x) is some function of x x such that it is continuous and first- and second- differentiable everywhere in the closed region x [ 0 , 1 ] x\in [0,1] and that f ( 0 ) = f ( 1 ) = 0 f(0)=f(1)=0

Given the above constraints, find the unique function f ( x ) f(x) that maximizes I = 0 1 1 + f ( x ) + f ( x ) d x I=\int_{0}^{1}\ \sqrt{1+f(x)+f'(x)}\ dx .

Enter the smallest value c ( 0 , 1 ) c\in (0,1) such that f ( c ) = 0 f'(c)=0 .

Notes and Assumptions

  • f ( x ) f'(x) denotes the first derivative of f ( x ) f(x) with respect to x x
  • The integral I I exists and is a finite real number
  • Assume that f ( x ) + f ( x ) > 1 f(x)+f'(x)>-1 for all x [ 0 , 1 ] x\in [0,1]


The answer is 0.379885493042.

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1 solution

Mark Hennings
Jul 13, 2018

We want to extremize I [ y ] = 0 1 1 + y ( x ) + y ( x ) d x I[y] \; = \; \int_0^1 \sqrt{1 + y(x) + y'(x)}\,dx subject to suitable continuity/differentiability conditions and y ( 0 ) = y ( 1 ) = 0 y(0) = y(1) = 0 . Standard Calculus of Variations theory tells us that we need to solve the equation d d x ( F y ) F y = 0 \frac{d}{dx}\left(\frac{\partial F}{\partial y'}\right) - \frac{\partial F}{\partial y} \; = \; 0 where F ( x , y , y ) = 1 + y + y F(x,y,y') = \sqrt{1 + y + y'} . Since F F is not explicity dependent on x x , a first integral of this equation is F y F y = c 2 + 2 y + y 2 1 + y + y = c ( 2 + 2 y + y ) 2 = 4 c 2 ( 1 + y + y ) [ 2 + 2 y + y 2 c 2 ] 2 = 4 c 2 ( c 2 1 y 2 ) \begin{aligned} F - y'\frac{\partial F}{\partial y'} & = \; c \\ \frac{2 + 2y + y'}{2\sqrt{1 + y + y'}} & = \; c \\ (2 + 2y + y')^2 & = \; 4c^2(1 + y + y') \\ \big[2 + 2y + y' - 2c^2\big]^2 & = \; 4c^2(c^2 - 1 - y^2) \end{aligned} If we put c 2 1 y = z 2 c^2 - 1 - y \; = \; z^2 , this becomes ( 2 z z 2 z 2 ) 2 = 4 c 2 z 2 ( z + z ) 2 = c 2 z + z = ± c z = ± c + d e x \begin{aligned} (-2zz' - 2z^2)^2 & = \; 4c^2z^2 \\ (z'+z)^2 & = \; c^2 \\ z' + z & = \; \pm c \\ z & = \; \pm c + de^{-x} \end{aligned} The case d = 0 d=0 means that z z is constant, and hence y y is constant, and hence y 0 y \equiv 0 , in which case I [ y ] = 0 I[y] = 0 . Otherwise z z is monotonic, and for y ( 0 ) y(0) to be equal to y ( 1 ) y(1) , we have to have z ( 1 ) = z ( 0 ) z(1) = -z(0) , which means that d = 2 e e + 1 c d = \mp\tfrac{2e}{e+1}c and hence z = ± c ( 1 2 e 1 x e + 1 ) z\; = \; \pm c\left(1 - \frac{2e^{1-x}}{e+1}\right) Thus we require 0 = y ( 0 ) = c 2 1 c 2 ( e 1 e + 1 ) 2 = 4 e ( e + 1 ) 2 c 2 1 0 \; = \; y(0) \; =\; c^2 - 1 - c^2\left(\tfrac{e-1}{e+1}\right)^2 \; = \; \tfrac{4e}{(e+1)^2}c^2 - 1 so that c = cosh 1 2 c = \cosh\tfrac12 . We note that z ( x ) z'(x) is never zero, and so y ( x ) = 2 z ( x ) z ( x ) y'(x) = - 2z(x)z'(x) is only zero when z ( x ) = 0 z(x) = 0 , which occurs precisely when x = ln ( 2 e 1 + e ) = 0.3798854930 x \; = \; \ln\left(\tfrac{2e}{1+e}\right) = \boxed{0.3798854930}

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