**16.** Let \( f(x) \) be a real differentiable function such that \( f(0) = 1 \) and \( f(x + y) = f(x)f'(y) + f'(x)f(y) \) for all \( x, y \in \mathbb{R} \). Then \( \sum_{n=1}^{100} \log_e f(n) \) is equal to: - (1) 2384 - (2) 2525 - (3) 5220 - (4) 2406

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Published July 8, 2025
Mathematics
Calculus
Functional Equations
Differential Equations
Sequences and Series
Logarithms

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Detailed Explanation

1. Spotting a Functional Equation that Hints at a Differential Equation

The given law
f(x+y)=f(x)f(y)+f(x)f(y)f(x+y)=f(x)f'(y)+f'(x)f(y)
looks very similar to how the derivative of a product behaves: [f(x)f(y)]=f(x)f(y)+f(x)f(y)\bigl[ f(x)f(y) \bigr]' = f'(x)f(y)+f(x)f'(y) This suggests that maybe f(x+y)f(x+y) behaves like the derivative of a product evaluated at (x,y)(x,y).

2. Use a Clever Substitution (Set y=0y=0)

Plugging y=0y=0 (and knowing f(0)=1f(0)=1):

f(x)=f(x)f(0)+f(x)f(0)f(x) = f(x)f'(0) + f'(x)f(0) \Downarrow f(x)f(0)f(x)=f(x)f(x) - f'(0)f(x) = f'(x) \Downarrow f(x)=[1f(0)]f(x)f'(x) = \bigl[1-f'(0)\bigr]f(x)

This is a first-order linear ODE of the form f(x)=kf(x)f'(x)=k\,f(x) with k=1f(0)k=1-f'(0).

3. Solve the ODE

General solution:

f(x)=Cekxf(x)=C e^{k x} Use f(0)=1f(0)=1 to get C=1C=1:

f(x)=ekxf(x)=e^{kx}

4. Self-Consistency to Find kk

Compute f(x)=kekxf'(x)=k e^{kx} so f(0)=kf'(0)=k.
But kk was defined as 1f(0)1-f'(0); substitute:

k=1k        2k=1k=12k = 1-k \;\;\Longrightarrow\;\; 2k = 1 \Longrightarrow k = \frac12

Thus the only function satisfying all conditions is

f(x)=ex/2f(x)=e^{x/2}

5. Convert the Requested Sum into Something Simple

We want

n=1100lnf(n)=n=1100ln(en/2)=n=1100n2\sum_{n=1}^{100}\ln f(n) = \sum_{n=1}^{100} \ln\bigl(e^{n/2}\bigr) = \sum_{n=1}^{100} \frac{n}{2}

6. Perform the Arithmetic

The sum of the first 100100 natural numbers is

n=1100n=100×1012=5050\sum_{n=1}^{100} n = \frac{100\times101}{2} = 5050 Therefore,

Required sum=12×5050=2525\text{Required sum} = \frac12\times5050 = 2525

That matches option (2).

Simple Explanation (ELI5)

Think of "f" as a Magic Growing Number

  1. Starting Point: At x=0x = 0, the magic number is 11.

  2. Rule for Growing: Whenever you give it two numbers xx and yy, it grows in a very special way:

    f(x+y)f(x+y) equals this–times–that plus that–times–this (it mixes the value of ff with the speed ff' at each point).

  3. What We Need: Add up all the natural‐log (loge\log_e) values of f(1),f(2),,f(100)f(1), f(2), \dots, f(100).

  4. Sneaky Shortcut: After a little detective work, we discover the only magic rule that fits is

    f(x)=ex/2f(x) = e^{x/2}

  5. Logs Make Life Easy: loge(ex/2)=x/2\log_e\bigl(e^{x/2}\bigr) = x/2. So the problem turns into adding 1/2+2/2+3/2++100/21/2+2/2+3/2+\dots+100/2.

  6. Quick Sum:

    Sum=12(1+2++100)=12×5050=2525\text{Sum} = \frac12\,(1+2+\dots+100) = \frac12\times5050 = 2525

So the answer is 2525 (option 2).

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Step-by-Step Solution

Step 1 – Identify the Function

Given

f(x+y)=f(x)f(y)+f(x)f(y)f(x+y)=f(x)f'(y)+f'(x)f(y)

Plug y=0y=0 (using f(0)=1f(0)=1):

f(x)=f(x)f(0)+f(x)1f(x)=f(x)f'(0)+f'(x)\cdot1 f(x)=[1f(0)]f(x)\Rightarrow f'(x)=\bigl[1-f'(0)\bigr]f(x) Let k=1f(0)k=1-f'(0). Then

f(x)=kf(x)f'(x)=k f(x)

Solve the differential equation:

f(x)=Cekxf(x)=Ce^{kx} Apply f(0)=1    C=1f(0)=1\;\Rightarrow\;C=1, so

f(x)=ekxf(x)=e^{kx}

Compute f(0)=kf'(0)=k and recall k=1f(0)k=1-f'(0):

k=1k    2k=1    k=12k=1-k\;\Rightarrow\;2k=1\;\Rightarrow\;k=\frac12

Thus

f(x)=ex/2f(x)=e^{x/2}


Step 2 – Evaluate the Required Sum

lnf(n)=ln(en/2)=n2\ln f(n)=\ln\bigl(e^{n/2}\bigr)=\frac{n}{2}

Hence

n=1100lnf(n)=12n=1100n\sum_{n=1}^{100}\ln f(n)=\frac12\sum_{n=1}^{100}n

The well-known sum:

n=1100n=100×1012=5050\sum_{n=1}^{100}n=\frac{100\times101}{2}=5050

Therefore

Answer=12×5050=2525\text{Answer}=\frac12\times5050=2525

Answer: 2525 (option 2)

Examples

Example 1

Population growth models often lead to differential equations of the form y' = k y, giving exponential solutions similar to f(x) = e^{k x}.

Example 2

Radioactive decay follows N'(t) = -lambda N(t), an exponential pattern; here the functional-equation logic mirrors that derivation.

Example 3

Compound interest with continuous compounding gives A(t) = A_0 e^{rt}, again reflecting the same mathematics seen in this problem.

Visual Representation

References

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