**Twenty-three.**

It’s the ninth prime number. An Eisenstein prime with no imaginary part and real part of the form 3*n* − 1. The first prime *P* for which unique factorization of cyclotomic integers based on the *P*th root of unity breaks down.

It’s also the number of * mathematical challenges* listed here that could land you a spot in the history books (if you solve one – or more – of them).

Discovering novel mathematics will enable the development of new tools to change the way the DoD approaches analysis, modeling and prediction, new materials and physical and biological sciences. The 23 Mathematical Challenges program involves individual researchers and small teams who are addressing one or more of the following 23 mathematical challenges.

I bet John Forbes Nash would be interested in this for a *number* of reasons. If these challenges are successfully met, they could provide revolutionary new techniques to meet the long-term needs of the DoD.

I have just three words for you: **BRING IT ON**

Mathematical Challenge 1: **The Mathematics of the Brain**

Develop a mathematical theory to build a functional model of the brain that is mathematically consistent and predictive rather than merely biologically inspired.

Mathematical Challenge 2: ** The Dynamics of Networks**

Develop the high-dimensional mathematics needed to accurately model and predict behavior in large-scale distributed networks that evolve over time occurring in communication, biology and the social sciences.

Mathematical Challenge 3: **Capture and Harness Stochasticity in Nature**

Address Mumford’s call for new mathematics for the 21st century. Develop methods that capture persistence in stochastic environments.

Mathematical Challenge 4: **21st Century Fluids**

Classical fluid dynamics and the Navier-Stokes Equation were extraordinarily successful in obtaining quantitative understanding of shock waves, turbulence and solitons, but new methods are needed to tackle complex fluids such as foams, suspensions, gels and liquid crystals.

Mathematical Challenge 5: **Biological Quantum Field Theory**

Quantum and statistical methods have had great success modeling virus evolution. Can such techniques be used to model more complex systems such as bacteria? Can these techniques be used to control pathogen evolution?

Mathematical Challenge 6: **Computational Duality**

Duality in mathematics has been a profound tool for theoretical understanding. Can it be extended to develop principled computational techniques where duality and geometry are the basis for novel algorithms?

Mathematical Challenge 7: **Occam’s Razor in Many Dimensions**

As data collection increases can we “do more with less” by finding lower bounds for sensing complexity in systems? This is related to questions about entropy maximization algorithms.

Mathematical Challenge 8: **Beyond Convex Optimization**

Can linear algebra be replaced by algebraic geometry in a systematic way?

Mathematical Challenge 9: **What are the Physical Consequences of Perelman’s Proof of Thurston’s Geometrization Theorem?**

Can profound theoretical advances in understanding three dimensions be applied to construct and manipulate structures across scales to fabricate novel materials?

Mathematical Challenge 10: **Algorithmic Origami and Biology**

Build a stronger mathematical theory for isometric and rigid embedding that can give insight into protein folding.

Mathematical Challenge 11: **Optimal Nanostructures**

Develop new mathematics for constructing optimal globally symmetric structures by following simple local rules via the process of nanoscale self-assembly.

Mathematical Challenge 12: **The Mathematics of Quantum Computing, Algorithms, and Entanglement**

In the last century we learned how quantum phenomena shape our world. In the coming century we need to develop the mathematics required to control the quantum world.

Mathematical Challenge 13: **Creating a Game Theory that Scales**

What new scalable mathematics is needed to replace the traditional Partial Differential Equations (PDE) approach to differential games?

Mathematical Challenge 14: **An Information Theory for Virus Evolution**

Can Shannon’s theory shed light on this fundamental area of biology?

Mathematical Challenge 15: **The Geometry of Genome Space**

What notion of distance is needed to incorporate biological utility?

Mathematical Challenge 16: **What are the Symmetries and Action Principles for Biology?**

Extend our understanding of symmetries and action principles in biology along the lines of classical thermodynamics, to include important biological concepts such as robustness, modularity, evolvability, and variability.

Mathematical Challenge 17: **Geometric Langlands and Quantum Physics**

How does the Langlands program, which originated in number theory and representation theory, explain the fundamental symmetries of physics? And vice versa?

Mathematical Challenge 18: **Arithmetic Langlands, Topology and Geometry**

What is the role of homotopy theory in the classical, geometric and quantum Langlands programs?

Mathematical Challenge 19: **Settle the Riemann Hypothesis**

The **Holy Grail** of number theory.

Mathematical Challenge 20: **Computation at Scale**

How can we develop asymptotics for a world with massively many degrees of freedom?

Mathematical Challenge 21: **Settle the Hodge Conjecture**

This conjecture in algebraic geometry is a metaphor for transforming transcendental computations into algebraic ones.

Mathematical Challenge 22: **Settle the Smooth Poincare Conjecture in Dimension 4**

What are the implications for space-time and cosmology? And might the answer unlock the secret of “dark energy”?

Mathematical Challenge 23: **What are the Fundamental Laws of Biology?**

This question will remain front and center in the next 100 years. This challenge is placed last, as finding these laws will undoubtedly require the mathematics developed in answering several of the questions listed above.

*Information for this blog post provided by DARPA*

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*Jessica L. Tozer is a blogger for DoDLive and Armed With Science. She is an Army veteran and an avid science fiction fan, both of which contribute to her enthusiasm for technology in the military.*

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MODEL SIMPLIFICATION–This is another challenge for Mathematicians for all time to come .Number of people who use any Math.Formula or Prnciple ,is directly proportional to its simplicity and comprehensibility .” Utility is inversely proportional to its complexity “.

I don’t think it is an impossible task. If Einstein and Hawkings can simplify their ideas and write popular books on Cosmology ,why can’t others.

-B.SAHU