If \(\begin{array}{l} H = {\tan ^{ - 1}}\frac{x}{y}\\ \end{array}\), x = u + v, y = u - v then \(\begin{array}{l} \frac{{\partial H}}{{\partial V}}\\ \end{array}\)is
We are given a function \(H\) defined as \(H = {\tan ^{ - 1}}\frac{x}{y}\), where \(x\) and \(y\) are themselves functions of \(u\) and \(v\), specifically \(x = u + v\) and \(y = u - v\). We need to find the partial derivative of \(H\) with respect to \(v\), denoted as \(\frac{{\partial H}}{{\partial v}}\).
Since \(H\) is a function of \(x\) and \(y\), and \(x\) and \(y\) are functions of \(u\) and \(v\), we must use the chain rule for multivariable functions. The formula for \(\frac{{\partial H}}{{\partial v}}\) is:
\(\frac{{\partial H}}{{\partial v}} = \frac{{\partial H}}{{\partial x}} \frac{{\partial x}}{{\partial v}} + \frac{{\partial H}}{{\partial y}} \frac{{\partial y}}{{\partial v}}\)
Let's calculate each of the partial derivatives on the right side of the equation.
Given \(H = \tan^{-1}\left(\frac{x}{y}\right)\). To find \(\frac{{\partial H}}{{\partial x}}\), we treat \(y\) as a constant.
\(\frac{{\partial H}}{{\partial x}} = \frac{\partial}{\partial x} \left( \tan^{-1}\left(\frac{x}{y}\right) \right)\)
Using the chain rule for single variable derivatives, \(\frac{d}{dz}(\tan^{-1}(z)) = \frac{1}{1+z^2}\), with \(z = \frac{x}{y}\), and the derivative of the inner function \(\frac{\partial}{\partial x}(\frac{x}{y}) = \frac{1}{y}\) (since \(y\) is constant with respect to \(x\)):
\(\frac{{\partial H}}{{\partial x}} = \frac{1}{1 + \left(\frac{x}{y}\right)^2} \cdot \frac{1}{y}\)
\(\frac{{\partial H}}{{\partial x}} = \frac{1}{\frac{y^2 + x^2}{y^2}} \cdot \frac{1}{y}\)
\(\frac{{\partial H}}{{\partial x}} = \frac{y^2}{x^2 + y^2} \cdot \frac{1}{y}\)
\(\frac{{\partial H}}{{\partial x}} = \frac{y}{x^2 + y^2}\)
Given \(H = \tan^{-1}\left(\frac{x}{y}\right)\). To find \(\frac{{\partial H}}{{\partial y}}\), we treat \(x\) as a constant.
\(\frac{{\partial H}}{{\partial y}} = \frac{\partial}{\partial y} \left( \tan^{-1}\left(\frac{x}{y}\right) \right)\)
Using the chain rule, with \(z = \frac{x}{y}\), and the derivative of the inner function \(\frac{\partial}{\partial y}(\frac{x}{y}) = x \cdot \frac{\partial}{\partial y}(y^{-1}) = x \cdot (-1)y^{-2} = -\frac{x}{y^2}\):
\(\frac{{\partial H}}{{\partial y}} = \frac{1}{1 + \left(\frac{x}{y}\right)^2} \cdot \left(-\frac{x}{y^2}\right)\)
\(\frac{{\partial H}}{{\partial y}} = \frac{1}{\frac{y^2 + x^2}{y^2}} \cdot \left(-\frac{x}{y^2}\right)\)
\(\frac{{\partial H}}{{\partial y}} = \frac{y^2}{x^2 + y^2} \cdot \left(-\frac{x}{y^2}\right)\)
\(\frac{{\partial H}}{{\partial y}} = -\frac{x}{x^2 + y^2}\)
Given \(x = u + v\). To find \(\frac{{\partial x}}{{\partial v}}\), we treat \(u\) as a constant.
\(\frac{{\partial x}}{{\partial v}} = \frac{\partial}{\partial v} (u + v) = 0 + 1 = 1\)
Given \(y = u - v\). To find \(\frac{{\partial y}}{{\partial v}}\), we treat \(u\) as a constant.
\(\frac{{\partial y}}{{\partial v}} = \frac{\partial}{\partial v} (u - v) = 0 - 1 = -1\)
Now substitute the partial derivatives calculated in Steps 1-4 into the chain rule formula:
\(\frac{{\partial H}}{{\partial v}} = \frac{{\partial H}}{{\partial x}} \frac{{\partial x}}{{\partial v}} + \frac{{\partial H}}{{\partial y}} \frac{{\partial y}}{{\partial v}}\)
\(\frac{{\partial H}}{{\partial v}} = \left(\frac{y}{x^2 + y^2}\right) \cdot (1) + \left(-\frac{x}{x^2 + y^2}\right) \cdot (-1)\)
\(\frac{{\partial H}}{{\partial v}} = \frac{y}{x^2 + y^2} + \frac{x}{x^2 + y^2}\)
\(\frac{{\partial H}}{{\partial v}} = \frac{x + y}{x^2 + y^2}\)
The expression for \(\frac{{\partial H}}{{\partial v}}\) is currently in terms of \(x\) and \(y\). We need to convert it to terms of \(u\) and \(v\) using the given relations \(x = u + v\) and \(y = u - v\).
Substitute these back into the expression for \(\frac{{\partial H}}{{\partial v}}\):
\(\frac{{\partial H}}{{\partial v}} = \frac{2u}{2(u^2 + v^2)}\)
\(\frac{{\partial H}}{{\partial v}} = \frac{u}{u^2 + v^2}\)
This final expression is in terms of \(u\) and \(v\).
Comparing this result with the given options, we find that it matches Option 1.
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