1 historical background 2 the lebesgue measure, convolution 3 smoothing by convolution 4 truncation; radon measures; distributions 5 sobolev spaces; multiplication by smooth functions 6 density of tensor products; consequences 7 extending the notion of support 8 sobolev‘s embedding theorem, i ≤ p < n 9 sobolev’s embedding theorem, n ≤ p≤∞ 10 poincare‘s inequality 11 the equivalence lemma; compact embeddings 12 regularity of the boundary; consequences 13 traces on the boundary 14 green’s formula 15 the fourier transform 16 traces of hs(rn) 17 proving that a point is too small 18 compact embeddings 19 lax-milgram lemma 20 the space h(div; ω) 21 background on interpolation; the complex method 22 real interpolation; k-method 23 interpolation of l2 spaces with weights 24 real interpolation; j-method 25 interpolation inequalities, the spaces (e0, e1)θ,1 26 the lions-peetre reiteration theorem 27 maximal functions 28 bilinear and nonlinear interpolation 29 obtaining lp by interpolation, with the exact norm 30 my approach to sobolev‘s embedding theorem 31 my generalization of sobolev’s embedding theorem 32 sobolev‘s embedding theorem for besov spaces 33 the lions-magenes space h1/2∞(ω) 34 defining sobolev spaces and besov spaces for ω 35 characterization of ws,p(rn) 36 characterization of ws,p(ω) 37 variants with bv spaces 38 replacing bv by interpolation spaces 39 shocks for quasi-linear hyperbolic systems 40 interpolation spaces as trace spaces 41 duality and compactness for interpolation spaces 42 miscellaneous questions 43 biographical information 44 abbreviations and mathematical notation references index
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