Problem 27
Question
If \(f(x)\) be a differentiable function such that \(f(x y)=f(x)\) \(+f(y)\) for all \(x\) and \(y\), then \(f(e)+f(1 / e)=\) (A) 1 (B) 0 (C) \(-1\) (D) None of these
Step-by-Step Solution
Verified Answer
The answer is (B) 0.
1Step 1: Understand the functional equation
The problem gives us the equation \( f(xy) = f(x) + f(y) \) which is a standard form of a functional equation. The function is differentiable, which is additional information that might help us later.
2Step 2: Test the case of f(1)
Set \( y = 1 \) in the equation \( f(xy) = f(x) + f(y) \) to get \( f(x \cdot 1) = f(x) + f(1) \), simplifying to \( f(x) = f(x) + f(1) \). This implies that \( f(1) = 0 \).
3Step 3: Applying assumption to specific cases
From Step 2, know that \( f(1) = 0 \) and consider \( f(e) + f(1/e) \). Set \( x = e \) and \( y = 1/e \) in the original equation: \( f(e \cdot 1/e) = f(e) + f(1/e) \). This simplifies to \( f(1) = f(e) + f(1/e) \).
4Step 4: Substitute into the equation
Since \( f(1) = 0 \) (from Step 2), substitute into the last step: \( 0 = f(e) + f(1/e) \). So, we conclude that \( f(e) + f(1/e) = 0 \).
Key Concepts
Differentiable FunctionsFunctional Equation SolutionsMathematical Problem-Solving
Differentiable Functions
In calculus, a differentiable function is one that has a derivative at each point in its domain. This means that the function's graph is smooth, without any sharp corners or discontinuities, allowing us to compute a slope at any point. Differentiability is a stronger condition than continuity. A function can be continuous without being differentiable, but if a function is differentiable, it must be continuous as well.
For the given problem, knowing that the function \( f(x) \) is differentiable adds depth to the functional equation \( f(xy) = f(x) + f(y) \). Differentiability implies certain properties, like the existence of a tangent line at any point, which can provide us with additional tools, such as using derivatives, to analyze the behavior of \( f(x) \) and solve the equation more effectively. Understanding differentiability helps to confirm that the function behaves well under calculus operations.
For the given problem, knowing that the function \( f(x) \) is differentiable adds depth to the functional equation \( f(xy) = f(x) + f(y) \). Differentiability implies certain properties, like the existence of a tangent line at any point, which can provide us with additional tools, such as using derivatives, to analyze the behavior of \( f(x) \) and solve the equation more effectively. Understanding differentiability helps to confirm that the function behaves well under calculus operations.
Functional Equation Solutions
Functional equations involve finding functions that satisfy a given form of equation under certain conditions. This exercise deals with the functional equation \( f(xy) = f(x) + f(y) \), which is a classic example of Cauchy's additive functional equation. Solutions to such equations can often take simple forms based on underlying properties, such as continuity and differentiability, which are present in our problem.
In solving such equations, we test particular values and discover properties such as \( f(1) = 0 \). This insight comes from substituting specific values into the equation, like setting \( y = 1 \). From there, substituting more complex values, like \( x = e \) and \( y = 1/e \), shows how the function behaves over a wide range of inputs, culminating in the key result: \( f(e) + f(1/e) = 0 \). Solving functional equations often involves creative substitution and a deep understanding of the function's properties generated from the given conditions.
In solving such equations, we test particular values and discover properties such as \( f(1) = 0 \). This insight comes from substituting specific values into the equation, like setting \( y = 1 \). From there, substituting more complex values, like \( x = e \) and \( y = 1/e \), shows how the function behaves over a wide range of inputs, culminating in the key result: \( f(e) + f(1/e) = 0 \). Solving functional equations often involves creative substitution and a deep understanding of the function's properties generated from the given conditions.
Mathematical Problem-Solving
Solving mathematical problems, particularly those involving equations and abstract functions, involves a systematic approach. The problem-solving process begins with understanding what is being asked and identifying the type of problem—here, a functional equation involving a differentiable function.
A successful strategy for tackling such problems includes:
A successful strategy for tackling such problems includes:
- Breaking down the problem into smaller, more manageable parts, as demonstrated in the step-by-step solution.
- Using known properties, like setting specific values or using given conditions, to simplify the problem.
- Employing logical deductions to make sense of the information gathered through substitutions or transformations.
Other exercises in this chapter
Problem 24
The solution set of \(f^{\prime}(x)>g^{\prime}(x)\) where \(f(x)=(1 / 2) 5^{2 x+1}\) and \(g(x)=5^{x}+4 x \log 5\) is (A) \((1, \infty)\) (B) \((0,1)\) (C) \((0
View solution Problem 25
If \(I_{n}=\frac{d^{n}}{d x^{n}}\left(x^{n} \log x\right)\), then \(I_{n}-n I_{n-1}=\) (A) \(n\) (B) \(n-1\) (C) \(n !\) (D) \((n-1) !\)
View solution Problem 28
If for all \(x, y\) the function \(f\) is defined by \(f(x)+f(y)+\) \(f(x) \cdot f(y)=1\) and \(f(x)>0\) then (A) \(f^{\prime}(x)\) does not exist (B) \(f^{\pri
View solution Problem 29
Let \(3 f(x)-2 f(1 / x)=x\), then \(f^{\prime}(2)\) is equal to (A) \(\frac{2}{7}\) (B) \(\frac{1}{2}\) (C) 2 (D) \(\frac{7}{2}\)
View solution