Partial Derivatives GATE 2017 :Calculus

Partial Derivatives GATE 2017 :Calculus: 
Engineering Mathematics


Video Lecture Partial Derivatives GATE 2017 :Calculus: 
Engineering Mathematics


Partial derivatives are defined as derivatives of a function of multiple variables when all but the variable of interest are held fixed during the differentiation.
 (partialf)/(partialx_m)=lim_(h->0)(f(x_1,...,x_m+h,...,x_n)-f(x_1,...,x_m,...,x_n))/h.
(1)
The above partial derivative is sometimes denoted f_(x_m) for brevity.
Partial derivatives can also be taken with respect to multiple variables, as denoted for examples
(partial^2f)/(partialx^2)=f_(xx)
(2)
(partial^2f)/(partialxpartialy)=f_(xy)
(3)
(partial^3f)/(partialx^2partialy)=f_(xxy).
(4)
Such partial derivatives involving more than one variable are called mixed partial derivatives.
For a "nice" two-dimensional function f(x,y) (i.e., one for which ff_xf_yf_(xy)f_(yx) exist and are continuous in a neighborhood (a,b)), then
 f_(xy)(a,b)=f_(yx)(a,b).
(5)
More generally, for "nice" functions, mixed partial derivatives must be equal regardless of the order in which the differentiation is performed, so it also is true that
 f_(xxy)=f_(xyx)=f_(yxx).
(6)
PartialDerivative
If the continuity requirement for mixed partials is dropped, it is possible to construct functions for which mixed partials are not equal. An example is the function
 f(x,y)={(xy(x^2-y^2))/(x^2+y^2)   for (x,y)!=(0,0); 0   for (x,y)=(0,0),
(7)
which has f_(xy)(0,0)=-1 and f_(yx)(0,0)=1 (Wagon 1991). This function is depicted above and by Fischer (1986).
Abramowitz and Stegun (1972) give finite difference versions for partial derivatives.
A differential equation expressing one or more quantities in terms of partial derivatives is called a partial differential equation. Partial differential equations are extremely important in physics and engineering, and are in general difficult to solve.


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