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1D Ising Model: No Finite-Temperature Phase Transition

Hello! In our last lesson, we achieved a significant milestone by solving the one-dimensional Ising model exactly using the transfer matrix method. We found that in the thermodynamic limit, the Helmholtz free energy per spin, , is determined entirely by the largest eigenvalue, , of the transfer matrix:

where

Today, we will use this exact result to demonstrate a fundamental feature of one-dimensional systems: the absence of a finite-temperature phase transition in the 1D Ising model.

A phase transition is mathematically signaled by a non-analyticity in the free energy or one of its derivatives as a function of temperature or an external field. The most prominent example is the emergence of a spontaneous magnetization below a critical temperature, . We will investigate our solution from three complementary perspectives to show why this never happens for in one dimension:

  1. A direct calculation showing the absence of spontaneous magnetization.
  2. A physical argument involving the energy and entropy of domain walls.
  3. A rigorous mathematical argument based on the properties of the transfer matrix.

Argument 1: The Absence of Spontaneous Magnetization

The defining characteristic of a ferromagnet is its ability to maintain a net magnetization even after the external magnetic field is removed. This spontaneous magnetization, , is the order parameter for the ferromagnetic transition. We can find it by calculating the magnetization and then taking the limit as the field approaches zero:

If is non-zero for some range of temperatures, a phase transition exists. Let's see what our exact solution tells us.

The video below directly calculates the magnetization per spin from the free energy and examines its behavior as the external field (or in our notation) is turned off.

Statistical Mechanics - Ising Model : The One Dimensional Ising Model

This segment from the 'Advanced Physics' channel clearly demonstrates that the spontaneous magnetization in the 1D Ising model is always zero for any non-zero temperature.

Please watch from 24:57 to 29:40. The video first presents the final expression for the magnetization per spin and then analyzes what happens when the external magnetic field H is set to zero.

As the video shows, the exact magnetization per spin is given by:

When we examine the limit as for any finite temperature (), we find:

  • The numerator, , goes to 0.
  • The denominator goes to , which is a non-zero constant.

Therefore,

The spontaneous magnetization is zero at all finite temperatures. The system is only magnetized when an external field is present. Once the field is removed, thermal fluctuations are always strong enough to destroy the long-range order, and the net magnetization vanishes. This is the mathematical proof that the 1D Ising model does not have a finite-temperature ferromagnetic phase transition.

Argument 2: The Physical Picture of Domain Walls

Why is it that thermal fluctuations are always dominant in 1D? A powerful physical argument, first formulated by Rudolf Peierls, provides the intuition. It involves analyzing the thermodynamic stability of the perfectly ordered state against defects.

Imagine the system at . For a ferromagnet (), the ground state consists of all spins perfectly aligned, for instance, all up:
↑ ↑ ↑ ↑ ↑ ↑ ↑ ↑
The energy of each of the bonds is , so the total energy is . This is a state of perfect order, so its entropy is zero.

Now, let's consider the system at a very low but non-zero temperature, . Let's introduce a single defect—a domain wall—by flipping all spins to the right of some point:
↑ ↑ ↑ ↑ | ↓ ↓ ↓ ↓

Let's analyze the change in the free energy, , from creating this single wall.

  • Energy Cost (): The single bond ↑|↓ now has energy instead of . All other bonds are unaffected. The energy cost to create this wall is therefore . This is a finite, constant energy cost.

  • Entropy Gain (): The domain wall can be placed between any of the pairs of spins in the chain. Thus, creating one wall introduces possible microstates for the system. Using Boltzmann's entropy formula, the entropy gain is .

The change in free energy is:

In the thermodynamic limit (), the entropic term becomes infinitely negative for any , no matter how small. This term will always overwhelm the constant energy cost .

This means it is always thermodynamically favorable to introduce domain walls. The creation of one wall lowers the free energy, which encourages the creation of more, until the system is filled with a random arrangement of up and down domains. This completely destroys the long-range order of the ground state.

Statistical Mechanics - Ising Model : The One Dimensional Ising Model

The same 'Advanced Physics' video provides an excellent qualitative explanation of this domain wall argument.

Now watch from 33:21 to 39:50. This section explains how creating domain walls lowers the free energy at any T>0, leading to a disordered state with zero net magnetization.

This elegant argument highlights the special nature of one dimension: a single defect is enough to cut the entire system in two, and the entropy associated with placing this defect anywhere along the infinite chain is overpowering.

Argument 3: The Rigorous Mathematical Foundation

The fact that we could write down a simple, well-behaved (analytic) expression for the magnetization stems from a deeper mathematical property of the transfer matrix solution. Phase transitions are points of non-analyticity. Their absence in the 1D model is directly related to the analyticity of the free energy, .

The function is analytic as long as its argument is positive and finite. The largest eigenvalue, , is a sum and square root of exponential and hyperbolic functions. These are all analytic. The only place a non-analyticity could arise is if the term inside the square root becomes zero or negative, leading to a branch point singularity.

Since and for any finite , the entire expression is strictly positive. Therefore, the square root is always real and well-defined, and is an analytic function of both and for all . Consequently, the free energy is also analytic. No non-analyticity means no phase transition.

This property is quite general for 1D systems with short-range interactions and is formalized by the Perron-Frobenius theorem.

Absence of Phase Transition in One-Dimensional Statistical Systems

The following notes provide a concise and advanced discussion on why phase transitions are generally absent in 1D systems, summarizing both the rigorous mathematical reason and the domain wall argument.

Please read the short section III.A, 'Frobenius-Perron Theorem'. Given your background, you will appreciate this formal statement. The theorem essentially guarantees that for a matrix like our transfer matrix (which is irreducible with positive elements), the largest eigenvalue is unique (non-degenerate). A known result from function theory then implies that this unique eigenvalue must be an analytic function of its parameters (like temperature), preventing the non-analyticities required for a phase transition.

In essence, the Perron-Frobenius theorem provides the rigorous justification for our observation: the largest eigenvalue is always strictly greater than for , meaning they never cross. This absence of eigenvalue degeneracy is what guarantees the analyticity of the free energy.

Test your understanding!

The Peierls argument showed that for a 1D system with nearest-neighbor interactions, the entropy gain () always overcomes the finite energy cost of a domain wall. Now consider a 2D square lattice. A domain wall would be a closed loop separating a region of "up" spins from "down" spins.

If this loop has a length , roughly how does its energy cost scale with ? How does the entropy (related to the number of ways to form such a loop) scale with ? Based on this scaling, why might you expect that in 2D, unlike in 1D, the ordered state can be stable at low temperatures?

Show answer
  • Energy Cost (): In 2D, the domain wall is a line of length . Across this line, bonds that should be become . The energy cost is proportional to the number of such bonds, which is the length of the wall. So, .

  • Entropy Gain (): The entropy is related to the logarithm of the number of possible shapes the loop of length can take. While counting this is a difficult combinatorial problem (the "self-avoiding walk" problem), the number of such loops grows exponentially with , but sub-dominantly compared to the energy. Crudely, you can think of it as , so . More accurately, it's known to scale as , where is a lattice-dependent constant.

  • Free Energy Change: , where and are positive constants.

Unlike the 1D case, both terms now scale with . At very low temperatures, the energy term will be larger than the entropy term , making . It is energetically unfavorable to create large domains, so the ordered state is stable. At high temperatures, the entropy term dominates, , and domains proliferate, leading to a disordered state. The switch from to suggests the existence of a critical temperature where a phase transition can occur.

Conclusion

We have established a cornerstone result of statistical mechanics: the one-dimensional Ising model with short-range interactions does not exhibit a phase transition at any finite temperature.

Key Takeaways:

  • Direct Calculation: The exact expression for magnetization shows that spontaneous magnetization is zero for all .
  • Physical Argument: The entropy gained by creating a domain wall anywhere along the infinite 1D chain always overcomes the finite energy cost, destroying long-range order for any .
  • Mathematical Rigor: The Perron-Frobenius theorem ensures that the largest eigenvalue of the transfer matrix is unique and analytic, leading to an analytic free energy, which precludes the possibility of a phase transition.

This result is not just a mathematical curiosity; it highlights the crucial role of dimensionality in collective phenomena. As our mini-exercise hinted, the situation changes dramatically when we move to two dimensions.

Preview of the Next Lesson:
We will move into the fascinating world of the two-dimensional Ising model. While its solution is far more complex, we will state the celebrated exact result for the free energy found by Lars Onsager. We will see that it does indeed contain a non-analyticity, signaling a genuine phase transition, and we will begin to explore the nature of this critical point.

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