Analyzing the Setup
Welcome, fellow explorers of the mathematical universe. Today, we are not just solving a problem; we are uncovering the DNA of one of the most important functions in all of science: the exponential function.
You have been given a functional equation: f(x+y)=f(x)f(y). At first glance, it looks like a simple algebraic rule, but it is actually a profound statement about how a system evolves. It tells us that the value of the function at a sum of two inputs is the product of the function at those individual inputs. This is the hallmark of exponential growth.
Phase 1
Finding the Anchor Point
Before we can use the heavy machinery of calculus, we need a starting point. We need to know where our function lives on the Cartesian plane. We are given f(x+y)=f(x)f(y) and the condition that $f(x)
eq 0$.
Let us test the simplest possible input: x=0 and y=0. Substituting these into our equation, we get f(0+0)=f(0)f(0), which simplifies to f(0)=[f(0)]2.
Now, pause for a moment. We have a quadratic equation in terms of f(0), which can be written as f(0)2−f(0)=0, or f(0)(f(0)−1)=0. This gives us two possibilities: f(0)=0 or f(0)=1.
But wait! The problem explicitly states that $f(x)
eq 0$ for any x. If f(0) were 0, then for any x, f(x)=f(x+0)=f(x)f(0)=0, which would make the function zero everywhere. Since that is forbidden, we must conclude that f(0)=1. We have found our y-intercept; this is our anchor.
Phase 2
The First Principle Microscope
Now, how do we find the derivative f′(x) when we don't have an explicit formula for f(x)? We go back to the absolute bedrock of calculus: the first principle of derivatives. The derivative is defined as the limit of the difference quotient as the interval h shrinks to zero:
f′(x)=h→0limhf(x+h)−f(x)
This formula is our microscope. It allows us to zoom in on the function at any point x and see how it changes. But how do we handle f(x+h)? This is where the functional equation becomes our key. We know that f(x+h)=f(x)f(h).
Let us substitute this into our limit:
f′(x)=h→0limhf(x)f(h)−f(x)
Look at the numerator. We have a common factor of f(x). Let us pull it out. Since the limit is only concerned with the variable h, f(x) acts as a constant. We can move it outside the limit entirely:
f′(x)=f(x)⋅h→0limhf(h)−1
Phase 3
The Birth of the Differential Equation
We are almost there. Look closely at that limit: limh→0hf(h)−1. Remember our anchor point? We know f(0)=1. So, we can replace the 1 in the numerator with f(0):
Does this look familiar? It is the definition of the derivative at x=0, denoted as f′(0). The problem tells us that f′(0)=2. This is the slope of the tangent line at the y-intercept.
By substituting this value, our expression becomes:
Or, more elegantly, f′(x)=2f(x). This is a first-order linear differential equation. It tells us something profound: the rate of change of the function at any point is directly proportional to the value of the function at that point. This is the definition of exponential growth.
Phase 4
The Final Integration
To solve f′(x)=2f(x), we use the method of separation of variables. Let us write f′(x) as dxdf:
Now, we integrate both sides:
To find C, we use our anchor point f(0)=1. Substituting x=0 and f(0)=1:
So, we are left with ln(f(x))=2x. To isolate f(x), we exponentiate both sides:
And there it is. The function that transforms addition into multiplication is the exponential function. You have successfully derived the behavior of a system that grows in proportion to its current state. This is the math that describes everything from population growth to radioactive decay. You didn't just solve a problem; you derived a fundamental law of nature. Keep this intuition, and you will conquer any problem the JEE throws your way.