E-mail: glivshyts6@math.gatech.edu

Address: Room 228, Skiles bldg, located at 686 Cherry street NW, Atlanta, GA, 30332.

(See also

G. V. Livshyts, Some remarks about the maximal perimeter of convex sets with respect to probability measures, submitted. See also

B. Jaye, G. V. Livshyts, G. Paouris, P. Pivovarov, Remarks on the Renyi entropy of a sum of i.i.d. random variables, to appear in IEEE Transactions of Information Theory.

G. V. Livshyts, The smallest singular value of heavy-tailed not necessarily i.i.d. random matrices via random rounding, accepted to Journal d'Analyse Mathematique. See also

Bo'az Klartag, G. V. Livshyts, The lower bound for Koldobsky's slicing inequality via random rounding, accepted to GAFA Seminar Notes. See also some photos by Marton Naszodi.

A. V. Kolesnikov, G. V. Livshyts, On the Gardner-Zvavitch conjecture: symmetry in the inequalities of Brunn-Minkowski type, accepted to Advances in Math. See also

A. Colesanti, G. V. Livshyts, A note on the quantitative local version of the Log-Brunn-Minkowski inequality, accepted to special volume dedicated to the mathematical legacy of Victor Lomonosov.

G. V. Livshyts, K. Tikhomirov, Cube is a strict local maximizer for the illumination number, Discrete and Computational Geometry, (2019), 63(1), 209-228.

G. V. Livshyts, An extension of Minkowski's theorem and its applications to questions about projections for measures, Advances in Mathematics, Volume 356, 7 November 2019, 106803. See also

G. V. Livshyts, K. Tikhomirov, Randomized coverings of a convex body with its homothetic copies, and illumination, Proceedings of the AMS, (2019), ISSN 1088-6826(online), ISSN 0002-9939(print).

A. Colesanti, G. V. Livshyts, A. Marsiglietti, On the stability of Brunn-Minkowski type inequalities, Journal of Functional Analysis 273 (2017), no. 3, 1120-1139. See also video.

G. Livshyts, A. Marsiglietti, P. Nayar, A. Zvavitch, On the Brunn-Minkowski inequality for general measures with applications to new isoperimetric type-inequalities, Transactions of the AMS, 369 (2017), no. 12, 8725-8742.

G. Livshyts, P. Paouris, P. Pivovarov, On sharp bounds for marginal densities of product measures, Israel Journal of Mathematics, (2016), 216(2), 877-889. See also

G. V. Livshyts, Surface area of polytopes with respect to log-concave rotation invariant measures, Adv. Appl. Math., vol. 70, 54-69, (2015).
See also

G. V. Livshyts, Maximal Surface Area of a convex set in Rn with respect to log concave rotation invariant measures, GAFA Seminar Notes, 2116, (2014), 355-384. See also

G. V. Livshyts, Maximal surface area of a convex set in Rn with respect to exponential rotation invariant measures, J. Math. Anal. Appl., 404, 2, (2013), 231-238.

### Differential Geometry (Spring 2020, graduate)

#### Home work 1 (Differential Geometry, graduate)

#### Home work 2 (Differential Geometry, graduate)

#### Home work 3 (Differential Geometry, graduate)

#### Home work 4 (Differential Geometry, graduate)

### Introduction to Probability and Statistics (Fall 2019, undergraduate)

### Applied Combinatorics (Fall 2019, distance learning)

### Analysis II (Spring 2019, undergraduate)

#### Home work 1 (Analysis II, undergraduate)

#### Home work 2 (Analysis II, undergraduate)

#### Home work 3 (Analysis II, undergraduate)

#### Home work 4 (Analysis II, undergraduate)

#### Home work 5 (Analysis II, undergraduate)

### Putnam preparation (Fall 2018, undergraduate)

### Analysis I (Fall 2018, undergraduate)

#### Home work 1 (Analysis I, undergraduate)

#### Home work 2 (Analysis I, undergraduate)

#### Home work 3 (Analysis I, undergraduate)

#### Home work 4 (Analysis I, undergraduate)

#### Home work 5 (Analysis I, undergraduate)

#### Home work 6 (Analysis I, undergraduate)

#### Home work 7 (Analysis I, undergraduate)

#### Home work 8 (Analysis I, undergraduate)

### REU with Johannes Hosle (UCLA), Summer 2018, resulting in this paper

### Linear algebra (Spring 2018, undergraduate)

### High-dimensional geometry and probability (Spring 2018, graduate topics course)

#### Home work 1 (High Dim)

#### Home work 2 (High Dim)

#### Home work 3 (High Dim)

#### Home work 4 (High Dim)

#### Home work 5 (High Dim)

#### Home work 6 (High Dim)

### Probability II (Spring 2017, graduate)

#### Home work 2 (Probability II)

#### Home work 3 (Probability II)

### Probability I (Fall 2016, graduate)

#### Home work 1 (Probability I)

#### Home work 2 (Probability I)

#### Home work 3 (Probability I)

#### Home work 4 (Probability I)

#### Home work 5 (Probability I)

#### Test 1 (Probability I)

#### Test 2 (Probability I)

#### Midterm (Probability I)

### PUTNAM preparation (Fall 2016, undergraduate)

The William Lowell Putnam Mathematical Competition is an annual mathematics competition for undergraduate college students enrolled at institutions of higher learning in the United States and Canada. It awards a scholarship and cash prizes ranging from $250 to $2,500 for the top students and $5,000 to $25,000 for the top schools. It is widely considered to be the most prestigious university-level mathematics examination in the world. The competition was founded in 1927 by Elizabeth Lowell Putnam in memory of her husband William Lowell Putnam. The exam has been offered annually since 1938 and is administered by the Mathematical Association of America. See the oficial webpage of the PUTNAM competition, as well as the page containing PUTNAM problems and solutions of the recent years. All of the Georgia Tech students interested in participating PUTNAM, and/or joining my class aimed to prepare for the competition, which runs on Tuesdays 3:05-4:55 pm at 171 skiles, are more then welcome to get in touch with me via e-mail, or stop by my office 228 Skiles, or to just show up in class! Below please see some materials for the course.

#### PUTNAM exam 2015

#### Solutions to PUTNAM exam 2015

#### Excersize set 1 (PUTNAM preparation)

#### Problem set 1 (PUTNAM preparation)

#### Problem set 2 (PUTNAM preparation)

#### Problem set 3 (PUTNAM preparation)

#### Problem set 4 (PUTNAM preparation)

#### Mini olympiad (PUTNAM preparation)

#### Problem set 6 (PUTNAM preparation)

#### Problem set 7 (PUTNAM preparation)

#### Problem set 8 (PUTNAM preparation)

#### Problem set 9 (PUTNAM preparation)

#### Problem set 10 (PUTNAM preparation)

### Introduction to Probability and Statistics (Fall 2015, undergraduate)