![]() The chain rule formula involves taking the derivative of the outer function multiplied by the derivative of the inner function. The chain rule is a fundamental rule of differentiation in calculus that is used to find the derivative of a composite function, which is a combination of two or more functions. Frequently Asked Questions What is the chain rule in calculus? It has many applications in calculus as well as in real life. It allows us to find the derivative by breaking down the function by using two variables. The chain rule is a rule of derivatives in calculus which is used to find the rate of change of a combination of two functions. The quotient rule is reliable when a function is divided with another. The chain rule is used when a function is combined with another function. Then the chain rule formula is expressed as: If two functions f(x) and g(x) are in a combination form such as f(x) is a function of g(x) i.e. ![]() ![]() The variable u is used to replace the second function so that it can be easily differentiated. “The derivative of $f(g(x))$ is equal to the derivative of y with respect to u multiplied with the derivative of u with respect to x, where $y=f(u)$ and $u=g(x)$.” It calculates the rate of change of a function in relation to the other function.īy definition, the chain rule for a function $f(g(x))$ is stated as: The chain rule is a rule of expressing derivative of a function which is a combination of two functions. All of these rules are important to find the rate of instantaneous change of a function. There are different rules of differentiation in calculus. Let’s understand how to apply the chain rule to find a derivative. ![]() For this, the chain rule formula is used to find the derivative of two combined functions. Sometimes, we have to deal with a combination of two functions. There are some derivative rules to calculate the rate of change of different functions like exponential, trigonometric, or logarithmic functions, etc. The derivative is a fundamental concept of calculus that involves the rate of the instantaneous change in a function. ![]()
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