Amplitude of the Signal in Frequency Domain different from Time Domain
You're overlooking four things:


The $\frac{1}{FFT\_size}$ normalization coefficient. Some FFT implementations have or do not have this factor. Check the definition of FFT as performed by matlab on the Mathworks site!
Why are you looking at the real part only? The amplitude is conveyed by the modulus (magnitude) of the complex number. Here, the real part is 31 but the imaginary part is -10000.
A sine wave of amplitude 2 yields two complex exponentials of magnitude 1.
Keep in mind that you are not computing the Fourier transform of a sine wave (which goes from minus infinity to infinity), but of a sine waved multiplied by a rectangular window. As a result, you won't find the spectrum of a sine wave, but the spectrum of a sine wave convolved by the spectrum of your aperture (a sinc function for the rectangular window). The energy will bleed over adjacent frequency bins instead of being confined in bin 11. You will need to sum the energy over the adjacent bins to recover all the energy!


Getting back to your example:

abs(F(11)) is 10000. Divide by the sample length and you get a bit less than one (which is the expected value). Sum the small residues across the adjacent bins and you'll get back your expected energy.