2025 Spring Course Syllabus-Topics in Analysis: Optimal Transport-Mathematics 9400.001

Course Title:

Topics in Analysis

Course Credits:

3

Course Mode:

In person

Course Days and Time:

TTH 12:30pm-1:50pm

Course Room:

Wachman Hall 617

Course Instructor:
Cristian Gutierrez
Instructor Email:
gutierre@temple.edu
Instructor Office:

Wachman 1022

Instructor Phone:

215-204-7284 (email is preferred)

Office Hours:

By appointment

Course Materials:

This is a registered Canvas course, all information and course materials will be posted there.

Course grading scheme:

Grades will be based on homework and projects

Course prerequisites:

Knowledge of abstract measure theory, functional analysis, and basic pdes.

Course goals:

Develop the theory of optimal transport and show various applications

Topics covered:

Optimal mass transportation concerns the optimal allocation of resources. For example, allocation of persons to jobs, shipping goods from warehouses to shops, transforming one image into another. In each of these cases, a function is given representing the cost of mapping or transporting a unit of one item into another item. The question is then to find a way to allocate all resources simultaneously so that the total cost is minimum. The problem originates with the work of Monge in the 18th century to solve a military problem (linear cost) and was dormant until 1940 when Kantorovitch, motivated from problems in economics, discovered a probabilistic formulation. The subject has flourished in the last three decades having mathematical connections with convex analysis, optimization, probability, and pdes; and it was found to have applications to fields such as economics, optics, image processing, and machine learning. The purpose of this course is to develop some of this theory and show examples of applications. Topics include: 1. The Monge-Kantorovitch problem; existence of optimal maps/plans; use of convex analysis; dual problems. 2. Introduction to Monge-Ampere equations in this context. 3. Examples of applications to optics, economics, image processing, and machine learning. It is intended to give projects to the students. The course will be of interest for students in analysis, probability, applied mathematics and economics.

Exam dates:

No exams will be given

Attendance policy:

Mandatory attendance

Technology Specifications for this Course:
See Canvas.
Enter note 1 heading here:

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Attendance and Your Health:

To achieve course learning goals, students must attend and participate in classes, according to the course requirements. However, if you have tested positive for or are experiencing symptoms of a contagious illness, you should not come to campus or attend in-person  classes or activities. It is the student’s responsibility to contact me to create a plan for participation and engagement in the course as soon as you are able to do so, and to make a plan to complete all assignments in a timely fashion.

Expectations for Class Conduct :

It is important to foster a respectful and productive learning environment that includes all students in our diverse community of learners. Our differences, some of which are outlined in the University's nondiscrimination statement, will add richness to this learning experience. Therefore, all opinions and experiences, no matter how different or controversial they may be perceived, must be respected in the tolerant spirit of academic discourse. 

Disability Statement:

Any student who has a need for accommodations based on the impact of a documented disability or medical condition should contact Disability Resources and Services (DRS) in Howard Gittis Student Center South, Rm 420 (drs@temple.edu; 215-204-1280) to request accommodations and learn more about the resources available to you. If you have a DRS accommodation letter to share with me, or you would like to discuss your accommodations, please contact me as soon as practical. I will work with you and with DRS to coordinate reasonable accommodations for all students with documented disabilities. All discussions related to your accommodations will be confidential.

Academic Freedom:

Freedom to teach and freedom to learn are inseparable facets of academic freedom. The University has adopted a policy on Student and Faculty Academic Rights and Responsibilities (Policy # 03.70.02) which can be accessed here (opens in new tab/window).

Add/Drop Policy:

Students will be charged for a course unless dropped by the Drop/Add deadline date. Check the University calendar (opens in new tab/window) for exact dates.

 

During the Drop/Add period, students may drop a course with no record of the class appearing on their transcript. Students are not financially responsible for any courses dropped during this period. In the following weeks prior to or on the withdrawal date students may withdraw from a course with the grade of "W" appearing on their transcript. After the withdrawal date students may not withdraw from courses. Check the University Calendar (opens in new tab/window) for exact dates. See the full policy by clicking here (opens in new tab/window).

AI Policy:

The use of generative AI tools (such as ChatGPT, DALL-E, etc.) is not permitted in this class unless specifically announced for a particular assignment; therefore, any use of AI tools for work in this class may be considered a violation of Temple University's Academic Honesty policy and Student Conduct Code, since the work is not your own. The use of unauthorized AI tools will result in a grade of zero on the assignment; a second offense will be reported to the Student Conduct Board.

Incomplete Policy:

The grade "I" (an "incomplete") is only given if students cannot complete the course work due to circumstances beyond their control. It is necessary for the student to have completed the majority of the course work with a passing average and to sign an incomplete contract which clearly states what is left for the student to do and the deadline by which the work must be completed. The incomplete contract must also include a default grade that will be used in case the "I" grade is not resolved by the agreed deadline. See the full policy by clicking here (opens in new tab/window).

Student Support Services:

The following academic support services are available to students (all links open in a new tab/window): 
    The Math Consulting Center 
    Student Success Center 
    University Libraries 
    Undergraduate Research Support 
    Career Center 
    Tuttleman Counseling Services 
    Disability Resources and Services 
If you are experiencing food insecurity or financial struggles, Temple provides resources and support. Notably, the Temple University Cherry Pantry and the Temple University Emergency Student Aid Program are in operation as well as a variety of resources from the Division of Student Affairs.

Year
Semester
Course
Section
Course Extra
Title
Enter note 1 heading here
Description

You can add any additional information about your course here, such as Canvas or other learning management systems,  etc. 

Title
Enter optional note 2 heading here
Description

You may remove this item if you don't need it. You can also create more optional notes below and use the anchor on the left to drag it into correct position in your syllabus.

Title
Attendance and Your Health
Description

To achieve course learning goals, students must attend and participate in classes, according to the course requirements. However, if you have tested positive for or are experiencing symptoms of a contagious illness, you should not come to campus or attend in-person  classes or activities. It is the student’s responsibility to contact me to create a plan for participation and engagement in the course as soon as you are able to do so, and to make a plan to complete all assignments in a timely fashion.

Title
Expectations for Class Conduct
Description

It is important to foster a respectful and productive learning environment that includes all students in our diverse community of learners. Our differences, some of which are outlined in the University's nondiscrimination statement, will add richness to this learning experience. Therefore, all opinions and experiences, no matter how different or controversial they may be perceived, must be respected in the tolerant spirit of academic discourse. 

Title
Disability Statement
Description

Any student who has a need for accommodations based on the impact of a documented disability or medical condition should contact Disability Resources and Services (DRS) in Howard Gittis Student Center South, Rm 420 (drs@temple.edu; 215-204-1280) to request accommodations and learn more about the resources available to you. If you have a DRS accommodation letter to share with me, or you would like to discuss your accommodations, please contact me as soon as practical. I will work with you and with DRS to coordinate reasonable accommodations for all students with documented disabilities. All discussions related to your accommodations will be confidential.

Title
Academic Freedom
Description

Freedom to teach and freedom to learn are inseparable facets of academic freedom. The University has adopted a policy on Student and Faculty Academic Rights and Responsibilities (Policy # 03.70.02) which can be accessed here (opens in new tab/window).

Title
Add/Drop Policy
Description

Students will be charged for a course unless dropped by the Drop/Add deadline date. Check the University calendar (opens in new tab/window) for exact dates.

 

During the Drop/Add period, students may drop a course with no record of the class appearing on their transcript. Students are not financially responsible for any courses dropped during this period. In the following weeks prior to or on the withdrawal date students may withdraw from a course with the grade of "W" appearing on their transcript. After the withdrawal date students may not withdraw from courses. Check the University Calendar (opens in new tab/window) for exact dates. See the full policy by clicking here (opens in new tab/window).

Title
AI Policy
Description

The use of generative AI tools (such as ChatGPT, DALL-E, etc.) is not permitted in this class unless specifically announced for a particular assignment; therefore, any use of AI tools for work in this class may be considered a violation of Temple University's Academic Honesty policy and Student Conduct Code, since the work is not your own. The use of unauthorized AI tools will result in a grade of zero on the assignment; a second offense will be reported to the Student Conduct Board.

Title
Incomplete Policy
Description

The grade "I" (an "incomplete") is only given if students cannot complete the course work due to circumstances beyond their control. It is necessary for the student to have completed the majority of the course work with a passing average and to sign an incomplete contract which clearly states what is left for the student to do and the deadline by which the work must be completed. The incomplete contract must also include a default grade that will be used in case the "I" grade is not resolved by the agreed deadline. See the full policy by clicking here (opens in new tab/window).

Title
Student Support Services
Description

The following academic support services are available to students (all links open in a new tab/window): 
    The Math Consulting Center 
    Student Success Center 
    University Libraries 
    Undergraduate Research Support 
    Career Center 
    Tuttleman Counseling Services 
    Disability Resources and Services 
If you are experiencing food insecurity or financial struggles, Temple provides resources and support. Notably, the Temple University Cherry Pantry and the Temple University Emergency Student Aid Program are in operation as well as a variety of resources from the Division of Student Affairs.

Course title

Topics in Analysis

Course credits

3

Course mode

In person

Course Days and Time

TTH 12:30pm-1:50pm

Course room

Wachman Hall 617

Your office

Wachman 1022

Your office hours

By appointment

Course materials

This is a registered Canvas course, all information and course materials will be posted there.

Course grading scheme

Grades will be based on homework and projects

Course prerequisites

Knowledge of abstract measure theory, functional analysis, and basic pdes.

Course goals

Develop the theory of optimal transport and show various applications

Description of topics covered

Optimal mass transportation concerns the optimal allocation of resources. For example, allocation of persons to jobs, shipping goods from warehouses to shops, transforming one image into another. In each of these cases, a function is given representing the cost of mapping or transporting a unit of one item into another item. The question is then to find a way to allocate all resources simultaneously so that the total cost is minimum. The problem originates with the work of Monge in the 18th century to solve a military problem (linear cost) and was dormant until 1940 when Kantorovitch, motivated from problems in economics, discovered a probabilistic formulation. The subject has flourished in the last three decades having mathematical connections with convex analysis, optimization, probability, and pdes; and it was found to have applications to fields such as economics, optics, image processing, and machine learning. The purpose of this course is to develop some of this theory and show examples of applications. Topics include: 1. The Monge-Kantorovitch problem; existence of optimal maps/plans; use of convex analysis; dual problems. 2. Introduction to Monge-Ampere equations in this context. 3. Examples of applications to optics, economics, image processing, and machine learning. It is intended to give projects to the students. The course will be of interest for students in analysis, probability, applied mathematics and economics.

Exam dates

No exams will be given

Attendance Policy

Mandatory attendance

Technology Specifications for this Course
See Canvas.
Course Instructor
Cristian Gutierrez
Instructor Email
gutierre@temple.edu