The phrase "the hardest sum in physics" can be interpreted in various ways, but it generally refers to calculations or problems in physics that are particularly complex or difficult to solve. Here are a few examples that could fit this description, based on different areas of physics:
### 1. **Path Integrals in Quantum Mechanics (Feynman Path Integral)**
- **Background**: In quantum mechanics, calculating the behavior of particles is not as simple as tracking a single path. Richard Feynman introduced the concept of the path integral, which requires summing over an infinite number of possible paths that a particle could take.
- **Why It's Hard**: The path integral formulation of quantum mechanics is exceptionally challenging because it involves calculating integrals over an infinite-dimensional space. For many systems, these integrals cannot be computed exactly and require sophisticated approximation methods or numerical simulations.
- **Example**: Consider the motion of an electron in a magnetic field. To find the probability amplitude of the electron moving from point A to point B, one must sum over all possible paths between these points, weighing each path by an exponential factor of the action (in units of the reduced Planck's constant, \( \hbar \)). This sum can involve incredibly complex mathematics.
### 2. **Yang-Mills Mass Gap Problem**
- **Background**: In quantum field theory, Yang-Mills theory describes the fundamental forces (except gravity) using gauge fields. Despite its success in explaining many physical phenomena, a complete mathematical understanding of Yang-Mills theory, particularly the existence of a "mass gap," remains one of the most profound open problems in theoretical physics and mathematics.
- **Why It's Hard**: The "mass gap" problem involves proving that the lowest energy state (vacuum) in Yang-Mills theory has a positive energy gap compared to the next state. This requires understanding the non-perturbative behavior of gauge fields, which is a notoriously difficult problem due to the complexity of the infinite-dimensional functional integrals involved. The problem is so challenging that it is one of the seven "Millennium Prize Problems," with a $1 million reward for a solution.
### 3. **Navier-Stokes Equations**
- **Background**: The Navier-Stokes equations describe the motion of fluid substances like water and air. These equations are fundamental to the study of fluid dynamics and have wide applications in physics, engineering, and meteorology.
- **Why It's Hard**: The Navier-Stokes equations are nonlinear partial differential equations, and finding their solutions in three dimensions (especially proving whether smooth and global solutions always exist) is extremely difficult. This problem is also one of the Millennium Prize Problems. Turbulence, a phenomenon governed by these equations, is one of the unsolved mysteries in classical physics.
- **Example**: Predicting the exact behavior of turbulent fluid flow, such as air around an airplane wing or water in a river, involves solving these equations under complex boundary conditions, making it nearly intractable with current mathematical tools.
### 4. **Summing Feynman Diagrams in Quantum Field Theory**
- **Background**: In quantum field theory, Feynman diagrams are a graphical representation of the terms in a perturbative expansion of quantum processes. For each interaction, there can be an infinite number of diagrams to sum over to get an accurate result.
- **Why It's Hard**: Higher-order Feynman diagrams involve complex integrals in multi-dimensional space. As the order of interaction increases, the number of diagrams grows factorially, making direct computation practically impossible. This difficulty is compounded by divergences in the integrals that need to be dealt with using renormalization techniques.
- **Example**: In Quantum Electrodynamics (QED), calculating the magnetic moment of the electron to high precision involves summing over a large number of Feynman diagrams. The precision of these calculations is one of the great triumphs of physics, but they remain some of the most challenging computations in the field.
### 5. **Black Hole Entropy and Hawking Radiation**
- **Background**: The entropy of a black hole, as proposed by Jacob Bekenstein and Stephen Hawking, is proportional to the area of its event horizon. This is counterintuitive because entropy is typically an extensive property (proportional to volume). Hawking radiation, which arises from quantum effects near the event horizon, also presents complex calculations.
- **Why It's Hard**: Understanding black hole entropy and radiation requires combining general relativity (which describes the black hole) with quantum mechanics (which describes the radiation). This combination leads to the information paradox and the need for a theory of quantum gravity, one of the most challenging theoretical problems.
- **Example**: Calculating the exact spectrum of Hawking radiation involves quantum field theory in curved spacetime, a highly non-trivial task that pushes the boundaries of our current theoretical frameworks.
### Conclusion
"The hardest sum in physics" can refer to various types of calculations that are highly complex and often intractable with current mathematical and computational tools. From the infinite-dimensional integrals in quantum mechanics and field theory to the nonlinear partial differential equations in fluid dynamics, these problems often require advanced mathematics, deep physical insight, and significant computational power. Each of these challenges also represents a frontier in our understanding of the universe, pushing the limits of both physics and mathematics.