18.155 LECTURE 1, 10 SEPTEMBER 2015 RICHARD MELROSE Abstract. Notes before and after lecture – if you have questions, ask! Read: Notes Chapter 3, Sections 1 and 2. 1. Before lecture • • • • • • • • • • • Main aim: Schwartz space of test functions Continuous functions Differentiable functions k-times continuously differentiable functions Infinitely differentiable functions Taylors formula Schwartz space, differential operators with polynomial coefficients Frechet spaces, metrics Continuous linear maps and functionals Tempered distributions Fourier transform After lecture I really only covered as far as the metric on a Frechet space but did not really do completeness. To make sure that you understand the topology of Schwartz space S(Rn ) it would be a good idea for you to flesh-out the following abbreviated proof of the estimate (which I stated but did not prove in class) that for some k, (1) F : S(Rn ) −→ C, |F (u)| ≤ Ckukk equivalent to continuity for a linear map from Schwartz space to complex number (which is to say a tempered distribution although I did not say that). In words, a linear map is continuous if and only if it is bounded with respect to one of the norms. Continuity of a map on a metric space is equivalent to the inverse image of each open set being open. For a linear map this reduces to F −1 ({|z| < 1, z ∈ C}) ⊃ {u ∈ S(Rn ); d(u, 0) < } for some > 0. That is, there is an open ball around the origin in S(Rn ) with image contained in the unit open ball in C. This follows from the translation-invariance of the metric and the homogeneity of a linear map. So, for a continuous linear map there is such a ball of radius > 0. Choose k so large that 2−k < /2. Recall that the distance 1 2 RICHARD MELROSE from the origin is ∞ X d(u, 0) = 2−j j=0 ∞ ∞ j≤k j>k X X kukj kukj kukj = + ≤ 2kukk + /2. 2−j 2−j 1 + kukj 1 + kukj 1 + kukj Here I have used the fact that the norms increase as j increases. It follows that if kukk < /4 then |F (u)| < 1 from which the desired estimate follows by homogeneity with C determined by . The converse follows from the continuity of the norms which I did do in class. Department of Mathematics, Massachusetts Institute of Technology E-mail address: rbm@math.mit.edu