Let ,"1\\leq p <\\infin ." and "(X,\\mathcal{F},\\mu)" be a measurable set .Where "X" denote the under lying space , "\\mathcal{F} \\ the \\ \\sigma" -algebra of measurable set and "\\mu" the measure.
Then the space "L^{p} (X,\\mathcal{F},\\mu)={L}^p" ,consists of all complex valued measurable function on X that satisfies
The set of such function forms a vector space ,with the following natural operation
"(f+g)(x)=f(x)+g(x)"
"(\\lambda f)(x)=\\lambda f(x)"
For the scalar "\\lambda" .
Now ,if "f\\in L^p" then we define the "L^p" norm of "f" by
We also abbreviate this to "||f||_p" .
Now ,we show that "L^p" is a normed linear space under the norm "||.||_p"
Clearly ,"||f(x)||_p\\geq0" ,since "|f(x)|^p\\geq0" .
since "(\\lambda f)x=\\lambda f(x)" "\\implies ||(\\lambda f)x||=\\lambda ||f(x)||" .
Again we known from Minkowski inequality that if "1\\le p <\\infin"
and "f,g\\in L^p \\ then \\ f+g\\in L^p"
and "||f+g||_p \\leq ||f||_p+||g||_p" .
Hence,"L^p \\ together \\ with \\ ||.||_p" is a semi normed vector space.
Which is denote by "{\\mathcal L}^p(X,\\mu)"
wayThis can be made into a normed vector space in a standard way,one simply takes the quotient space with respect to the kernel of "||.||_p" .
Since, for any measurable function f we have
"||f||_p=0 \\iff f=0 \\ almost \\ everywhere" ,the kernel of "||.||_p"
does not depends upon p .
Let "\\mathcal N =\\{ f:f=0 \\ almost \\ everywhere \\}=ker(||.||_p) , \\ \\forall \\ 1\\leq p<\\infin"
In the quotient space ,two function f and g are identical if "f=g"
almost everywhere.
The resulting normed linear space is by definition,
Hence ,"L^p" is a normed linear space.
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