MAXIMA AND MINIMA ARTICLE 1 Definite SemiDefinite and
- Slides: 35
MAXIMA AND MINIMA
ARTICLE -1
Definite, Semi-Definite and Indefinite Function
DEFINITE FUNCTION l A real valued function f with domain is said to be positive definite if f(x)>0 and negative definition if f(x)<0
EXAMPLE o The function defination by is positive definite. Here o The function defined by is negative definite. Here
NOTE • A positive definite or a negative definite function is said to be a definite function.
Semi-Definite § A real valued function f with domain is said to be semi-definite if it vanishes at some points of and when it is not zero, it is of the same sign throughout
EXAMPLE o The function defined by is semi definite as and when where then
INDEFINITE FUNCTION § A real valued function f with domain is said to be indefinite if it can take values which have different signs i. e. , it is nether definite nor semi definite function.
EXAMPLE o The function indefinite function. Here defined by is an can be positive, zero or negative.
ARTICLE -2
CONDITIONS FOR A DEFINITE FUNCTION
Quadratic Expression of Two Real Variables Let
cases
CASES- 1 If and , then f is positive semi-definite.
CASES- 2 If and , then f is negative semi-definite.
CASES- 3 n If , then f(x, y) can be of any sign. f is indefinite.
QUADRATIC EXPRESSION OF THREE REAL VARIABLES § Let When If then are all positive f is positive semi-definite. When , then if the above three expression are alternately negative and positive. f is negative semi-definite.
ARTICLE -3
MAXIMUM VALUE A function f(x, y) is said to have a maximum value at x=a, y=b if f(a, b)>f(a+h, b+k) for small values of h and k, positive or negative.
MINIMUM VALUE A function f(x, y) is said to have a maximum value at x=a, y=b if f(a, b)<f(a+h, b+k) for small values of h and k, positive or negative.
EXTREME VALUE A maximum or a minimum value of a function is called an extreme value.
and NOTE are necessary but not sufficient conditions.
ARTICLE -4
WORKING METHOD FOR MAXIMUM AND MINIMUM Let f(x, y) be given functions
STEPS
STEP-1 Find and
STEP-2 Solve the equations for x and y. Let and simultaneously be the points
STEP-3 Find and calculate values of A, B, C for each points.
STEP-4 If for a point , we have and then f(x, y) is a maxima for this pair and maximum value is l If for point , we have l and then f(x, y) is a minimum for this pair and minimum value is l If for point then there is neither max. nor minimum of f(x, y). In this case f(x, y) is said to have a saddle at
n If for some point (a, b) the case is doubtful In this case, if for small values of h and k, positive or negative, then f is max. at (a, b). if for small values of h and k, positive or negative, then f is min. at (a, b). If dose not keep the same sign for small values of h and k, then there is neither max. nor minimum value.
NOTE The point are called stationary or critical points and values of f(x, y) at these points are called stationary values.
LAGRANGE’S METHOD OF UNDETERMINRD MULTIPLERS
Let f(x, y, z) be a function of x, y, z which is to be examied for maximum or minimum value and let the variable be connected by the relation ……. (1) Since f(x, y, z) is to have a maximum or minimum value
Multiplying(2) by (3) by and adding, we get, For this equation to be satisfied identically, coeffs. of dx, dy, dz should be separately zero. Equation (1), (4), (5) and(6) give us the value of x, y, z, for which f(x, y. z)is maximum and minimum.
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