{"id":315,"date":"2021-03-24T03:54:16","date_gmt":"2021-03-24T03:54:16","guid":{"rendered":"https:\/\/wp.asc.ohio-state.edu\/george.924\/?p=315"},"modified":"2021-03-29T14:54:23","modified_gmt":"2021-03-29T14:54:23","slug":"a-new-series-complex-ma-type-equations","status":"publish","type":"post","link":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/2021\/03\/24\/a-new-series-complex-ma-type-equations\/","title":{"rendered":"A new series: Complex MA-type equations"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">This is the first post in a new series based on the recent topics I&#8217;m reading. The theme will be to study complex Monge-Ampere type equations that will solve important problems in geometry. A typical and famous example of this would be the Calabi-Yau theorem. This was proved by Yau in 1978 and since then inspired many other results of the same nature, whether it be extending to the Kahler-Einstein case or, solving non-Kahler variants of this problem. In this series, we will be mostly interested in the latter. That is, we look at the cases when the manifold may not admit a Kahler metric, but does admit other types of hermitian metrics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For this post, the main focus would be to solve the exact same Monge-Ampere equation as in the CY theorem, but by only making the following assumptions on the background hermitian metric:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">a) For n=2, we make no assumptions on the metric.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">b) For n&gt;2, the metric is balanced, <img decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-c20acae4f72fae316407b50fd87612fe_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#100;&#92;&#111;&#109;&#101;&#103;&#97;&#94;&#123;&#110;&#45;&#49;&#125;&#61;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"80\" style=\"vertical-align: 0px;\"\/>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The general plan in all such problems is to use the continuity method. This technique will be described in detail in a different post. But the crucial element of this method is finding a uniform apriori estimate for the <img decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-da07b37cd539a48fc3b7c20e5668a285_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#123;&#50;&#44;&#92;&#97;&#108;&#112;&#104;&#97;&#125;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"34\" style=\"vertical-align: 0px;\"\/> Holder norm of the solution (for some <img decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-e6561f3280d775c08a8ccc8f4bf9e0ea_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#48;&#60;&#92;&#97;&#108;&#112;&#104;&#97;&#92;&#108;&#101;&#113;&#32;&#49;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"76\" style=\"vertical-align: -3px;\"\/>, the exact value of <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-3826e29eb436f6f2a5e7f16f9f6c7538_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#97;&#108;&#112;&#104;&#97;\" title=\"Rendered by QuickLaTeX.com\" height=\"8\" width=\"11\" style=\"vertical-align: 0px;\"\/> is not important). We separate this into problems of finding <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-25ef0844baba7dd4bc5736fed67a386c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/>, <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-f0784c986cd16234ff82e2b431d613b5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> and <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-c306371054645f8c234bf8791988f2a5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#123;&#50;&#44;&#32;&#92;&#97;&#108;&#112;&#104;&#97;&#125;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"34\" style=\"vertical-align: 0px;\"\/> estimates rather than doing all in one step. I have intentionally skipped the <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-e7bb09ad1c16d830eaf0a0e7616891fb_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#49;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"20\" style=\"vertical-align: 0px;\"\/> estimates here, since that always follow from interpolation inequalities once we have the <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-25ef0844baba7dd4bc5736fed67a386c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> and <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-f0784c986cd16234ff82e2b431d613b5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimates. See for example the 6th chapter of [GT].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The problem above was solved by Valentino Tosatti and Ben Weinkove in [TW]. The interesting fact about their solution is that they show a <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-f0784c986cd16234ff82e2b431d613b5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimate in terms of the <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-25ef0844baba7dd4bc5736fed67a386c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> norm of the solution: <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-5647a039bed0efe309833c36d72fe87d_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#116;&#114;&#95;&#123;&#103;&#125;&#103;&#39;&#92;&#108;&#101;&#113;&#32;&#65;&#101;&#94;&#123;&#92;&#112;&#104;&#105;&#45;&#92;&#105;&#110;&#102;&#40;&#92;&#112;&#104;&#105;&#41;&#125;\" title=\"Rendered by QuickLaTeX.com\" height=\"22\" width=\"134\" style=\"vertical-align: -6px;\"\/>. This can then be used to get a <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-25ef0844baba7dd4bc5736fed67a386c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimate without even using the initial PDE again. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-f0784c986cd16234ff82e2b431d613b5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimates are done first by estimating <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-d87d24db3600531ece881414a85996f5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#116;&#114;&#95;&#103;&#103;&#39;\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"35\" style=\"vertical-align: -6px;\"\/>, where <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-57240bee0d24df1db54c7bfdcc5e01b6_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#103;&#44;&#103;&#39;\" title=\"Rendered by QuickLaTeX.com\" height=\"18\" width=\"30\" style=\"vertical-align: -4px;\"\/> are the given metric and the new metric respectively (<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-5ab9a377e13554e6c19d217352da83d5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#103;&#39;&#61;&#103;&#43;&#92;&#115;&#113;&#114;&#116;&#123;&#45;&#49;&#125;&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#32;&#92;&#98;&#97;&#114;&#123;&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#32;&#125;&#92;&#112;&#104;&#105;\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"137\" style=\"vertical-align: -4px;\"\/>). This is done by applying maximum principle to the function <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-899be30835404a3f5aee13bbaeb723ab_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#108;&#111;&#103;&#40;&#116;&#114;&#95;&#103;&#103;&#39;&#41;&#45;&#65;&#92;&#112;&#104;&#105;\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"118\" style=\"vertical-align: -6px;\"\/> as in Yau&#8217;s solution. The idea is all the same. But now there are some differences in calculations. For one, there is no holomorphic normal coordinates as in the Kahler case. So all the first derivatives of <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-3a4c5acb962c293daf5a00356370c14c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#103;\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"9\" style=\"vertical-align: -4px;\"\/> appears in the expansion of <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-995eaf1caebd4216c9c7ac05928beb5d_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#68;&#101;&#108;&#116;&#97;&#92;&#108;&#111;&#103;&#40;&#116;&#114;&#95;&#103;&#103;&#39;&#41;\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"89\" style=\"vertical-align: -6px;\"\/>. This issue is partly solved by a version of normal co-ordinates for hermitian metrics given by Guan-Li:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>At any point <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-24736488815a311e0d43fe12d2b1782d_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#112;\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"10\" style=\"vertical-align: -4px;\"\/>, there exists holomorphic normal coordinates such that <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-a0c4c82e8d197b1c1707730d261915a0_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#103;&#95;&#123;&#105;&#92;&#98;&#97;&#114;&#32;&#106;&#125;&#40;&#112;&#41;&#61;&#92;&#100;&#101;&#108;&#116;&#97;&#95;&#123;&#105;&#106;&#125;\" title=\"Rendered by QuickLaTeX.com\" height=\"21\" width=\"86\" style=\"vertical-align: -7px;\"\/> and <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-1d16548f049c95dd2614a895944c7670_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#95;&#123;&#106;&#125;&#103;&#95;&#123;&#105;&#92;&#98;&#97;&#114;&#32;&#105;&#125;&#40;&#112;&#41;&#61;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"91\" style=\"vertical-align: -6px;\"\/> for all <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-75f13fa57bf26b2b51baffbc94a6a2db_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#105;&#44;&#106;\" title=\"Rendered by QuickLaTeX.com\" height=\"16\" width=\"22\" style=\"vertical-align: -4px;\"\/> and <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-968088901380101678377d61c69ac397_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#95;&#105;&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#95;&#123;&#92;&#98;&#97;&#114;&#32;&#106;&#125;&#32;&#92;&#112;&#104;&#105;&#40;&#112;&#41;\" title=\"Rendered by QuickLaTeX.com\" height=\"21\" width=\"64\" style=\"vertical-align: -7px;\"\/> is diagonal.<\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Note that <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-c59a4872584408e87dba628fcb482ac8_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#68;&#101;&#108;&#116;&#97;&#39;&#92;&#108;&#111;&#103;&#32;&#116;&#114;&#95;&#123;&#103;&#125;&#103;&#39;&#61;&#92;&#102;&#114;&#97;&#99;&#123;&#92;&#68;&#101;&#108;&#116;&#97;&#39;&#116;&#114;&#95;&#103;&#103;&#39;&#125;&#123;&#116;&#114;&#95;&#103;&#103;&#39;&#125;&#45;&#92;&#102;&#114;&#97;&#99;&#123;&#124;&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#32;&#116;&#114;&#95;&#103;&#103;&#39;&#124;&#94;&#50;&#95;&#123;&#103;&#39;&#94;&#50;&#125;&#125;&#123;&#40;&#116;&#114;&#95;&#103;&#103;&#39;&#41;&#94;&#50;&#125;\" title=\"Rendered by QuickLaTeX.com\" height=\"37\" width=\"244\" style=\"vertical-align: -11px;\"\/>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The first term of RHS can be estimated the same way for both cases (a), (b). The fourth order derivative of <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-4fb1ea7288c75ac88990d5c2da173806_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#112;&#104;&#105;\" title=\"Rendered by QuickLaTeX.com\" height=\"16\" width=\"11\" style=\"vertical-align: -4px;\"\/> that appears in this calculation is transformed to a product of first order derivatives of <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-c58a4e82956e63590aa454780655a975_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#103;&#39;\" title=\"Rendered by QuickLaTeX.com\" height=\"18\" width=\"13\" style=\"vertical-align: -4px;\"\/> and some estimated quantities by using the equation (original PDE). This is then used to absorb the troublesome terms that appear due to the non-Kahlerness as described in the previous paragraph.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> For the second term of RHS above, the estimation is done differently for each case. For (a), make use of the hermitian normal coordinates to write <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-0701c82dce6baa9cd080941a37235d06_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#95;&#105;&#32;&#116;&#114;&#95;&#103;&#103;&#39;&#61;&#92;&#115;&#117;&#109;&#95;&#106;&#32;&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#95;&#105;&#32;&#103;&#39;&#95;&#123;&#106;&#92;&#98;&#97;&#114;&#32;&#106;&#125;\" title=\"Rendered by QuickLaTeX.com\" height=\"24\" width=\"139\" style=\"vertical-align: -10px;\"\/>. Then since the dimension is <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-5d373468eead46dc8475da0c0cbcf397_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"8\" style=\"vertical-align: 0px;\"\/> we can show that <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-d87d24db3600531ece881414a85996f5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#116;&#114;&#95;&#103;&#103;&#39;\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"35\" style=\"vertical-align: -6px;\"\/> and <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-c8f50af23c05636899e45c5910b94bbb_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#116;&#114;&#95;&#123;&#103;&#39;&#125;&#103;\" title=\"Rendered by QuickLaTeX.com\" height=\"18\" width=\"36\" style=\"vertical-align: -6px;\"\/> are uniformly equivalent (are constant multiples of each other). Now performing several Cauchy-Schwarz arguments we will get the required estimate. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For (b), things will be much more simpler due to the following observation. The balanced condition <img decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-c20acae4f72fae316407b50fd87612fe_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#100;&#92;&#111;&#109;&#101;&#103;&#97;&#94;&#123;&#110;&#45;&#49;&#125;&#61;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"80\" style=\"vertical-align: 0px;\"\/> is equivalent to the vanishing of trace of the torsion tensor <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-c03af7f50cc24822bcb083fa731b6341_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#115;&#117;&#109;&#95;&#123;&#105;&#125;&#84;&#95;&#123;&#105;&#106;&#125;&#94;&#105;&#61;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"23\" width=\"82\" style=\"vertical-align: -8px;\"\/>. This is also same as <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-87caf6f5268482d3fd68798127fa4896_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#115;&#117;&#109;&#95;&#106;&#32;&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#95;&#106;&#32;&#103;&#95;&#123;&#105;&#92;&#98;&#97;&#114;&#32;&#106;&#125;&#61;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"21\" width=\"98\" style=\"vertical-align: -8px;\"\/>. Now <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-24877eb31176c15ef30c9afc0ab7dded_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#116;&#114;&#95;&#103;&#103;&#39;&#61;&#92;&#115;&#117;&#109;&#95;&#106;&#32;&#92;&#112;&#97;&#114;&#116;&#105;&#97;&#108;&#95;&#106;&#32;&#103;&#39;&#95;&#123;&#105;&#92;&#98;&#97;&#114;&#32;&#106;&#125;\" title=\"Rendered by QuickLaTeX.com\" height=\"24\" width=\"124\" style=\"vertical-align: -10px;\"\/> follows and the required inequality is obtained in one step from here. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The usual maximum principle arguments can be used to get the <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-f0784c986cd16234ff82e2b431d613b5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimate from an elliptic inequality for <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-d87d24db3600531ece881414a85996f5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#116;&#114;&#95;&#103;&#103;&#39;\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"35\" style=\"vertical-align: -6px;\"\/>. See [TW] for all the details. It is interesting how they find the <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-25ef0844baba7dd4bc5736fed67a386c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimates just from the special form of <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-f0784c986cd16234ff82e2b431d613b5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimate we have here. In fact, this technique can be applied to any hermitian metric <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-6f8d4c1d196fa6934e6831e2c04aa7e6_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#111;&#109;&#101;&#103;&#97;\" title=\"Rendered by QuickLaTeX.com\" height=\"8\" width=\"11\" style=\"vertical-align: 0px;\"\/> to obtain <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-25ef0844baba7dd4bc5736fed67a386c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#48;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> and higher order estimates if that particular form of <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-f0784c986cd16234ff82e2b431d613b5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#67;&#94;&#50;\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"21\" style=\"vertical-align: 0px;\"\/> estimate can be shown first.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The first step in doing this is to use a Moser iteration argument on the exponential of the function <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.asc.ohio-state.edu\/george.924\/wp-content\/ql-cache\/quicklatex.com-4fb1ea7288c75ac88990d5c2da173806_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"&#92;&#112;&#104;&#105;\" title=\"Rendered by QuickLaTeX.com\" height=\"16\" width=\"11\" style=\"vertical-align: -4px;\"\/>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This is the first post in a new series based on the recent topics I&#8217;m reading. The theme will be to study complex Monge-Ampere type equations that will solve important problems in geometry. A typical and famous example of this would be the Calabi-Yau theorem. This was proved by Yau in 1978 and since then [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21,5,20,6],"tags":[],"class_list":["post-315","post","type-post","status-publish","format-standard","hentry","category-balanced-metrics","category-estimates","category-monge-ampere","category-pde"],"_links":{"self":[{"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/posts\/315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/comments?post=315"}],"version-history":[{"count":24,"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/posts\/315\/revisions"}],"predecessor-version":[{"id":363,"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/posts\/315\/revisions\/363"}],"wp:attachment":[{"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/media?parent=315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/categories?post=315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.asc.ohio-state.edu\/george.924\/index.php\/wp-json\/wp\/v2\/tags?post=315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}