The determinant as the exponentiated trace
This note explains, in physics language, how the determinant arises from Lie theory: the trace is the generator, the determinant is the finite transformation built from it, and the Leibniz formula is derived at the end as a matrix element — never assumed. It is a companion to the elementary derivation in Determinant From Homomorphism (same result, no calculus, no continuity) and to Part III of Deriving the determinant from homogeneity and multiplicativity (same argument in mathematical language); proofs that appear verbatim there are referenced, not repeated.
1. The cast of characters: two groups, two algebras, two maps¶
There are two group/algebra pairs in play, and keeping them apart is most of the battle:
| source side | target side | |
|---|---|---|
| group | : invertible matrices, under matrix multiplication | : nonzero numbers, under multiplication |
| its Lie algebra | = all matrices (not just invertible!), bracket | = all complex numbers, bracket (abelian) |
| exp map | matrix exponential | ordinary |
| basis (“generators”) | the matrix units | the number 1 |
Three clarifications, because the words are easy to mix up:
is not a group; it is a map between groups. Its values fill out the group , but itself is a homomorphism : it converts matrix multiplication into number multiplication. “One-dimensional representation” means exactly this: each group element is represented by an invertible matrix — a nonzero number — such that composition becomes multiplication, .
The do not have a representation; they are elements. They form a basis of the source algebra , the same way form a basis of the Lorentz algebra. A representation is a map defined on the whole algebra (or group).
There are two levels of representation, one per row of the square below. Group level: with . Algebra level: its derivative at the identity, , a linear map satisfying — the bracket on the right lives in the abelian target, hence vanishes. For the algebra-level map will turn out to be ; on the basis: for , and — each diagonal generator carries one unit of the single available “charge.”
Everything in this note is the study of one commuting square:
Generators map to generators (top arrow), finite transformations map to finite transformations (bottom arrow), and exponentiation commutes with everything.
Because the same letters tend to blur together, here is every symbol of this note with its type. In particular, is not a Lie algebra — it is a linear map between the two Lie algebras (the top arrow of the square), exactly as is a map between the two groups (the bottom arrow):
| symbol | type |
|---|---|
| , | the two groups |
| , | their two Lie algebras |
| , , | group elements, in |
| , , | algebra elements (generators), in |
| , , , | group elements of the target, in |
| , , | algebra elements of the target, in |
| , , | group homomorphisms — horizontal arrows between groups |
| , , | Lie-algebra homomorphisms — horizontal arrows between algebras (linear maps with ) |
| (both legs) | the vertical arrows, algebra group |
2. The bottom-left corner: exponentiates to a transvection (a Galilean boost)¶
The pattern is the one from the Lorentz group: a finite transformation is the exponential of a generator, . Take the off-diagonal generator (). It is nilpotent, , so the exponential series terminates after two terms:
A transvection is literally the exponential of the generator — nothing fancier. And you already know a transvection from physics: a Galilean boost. Acting on ,
which is . The composition law , used in Step 2 of determinant_homomorphism.md, is just “boost velocities add” — the statement that is a one-parameter subgroup. The conjugation formula is the adjoint action you know from “a boost conjugated by a rotation is a boost in the rotated direction”: here a boost conjugated by a scaling is a boost with rescaled velocity.
The diagonal generators exponentiate just as explicitly: , a scaling of one axis. So there are two families of finite transformations whose generators we fully control — transvections (nilpotent generators, boost-like) and diagonal matrices (commuting generators, scaling-like) — and they will carry the entire derivation.
3. Differentiating the bottom arrow: the generator of , and the flow formula¶
Given a smooth one-dimensional representation , its generator-level map is defined by expanding near the identity:
with linear. For you know this expansion by heart:
i.e. the generator of is — that is the top arrow of the square evaluated on the known example.
The compatibility (the statement that the square commutes) is not an extra assumption; it follows from multiplicativity, and the mechanism is worth seeing twice. First as time slicing: the finite transformation built by composing the same infinitesimal step over and over is, by definition, the exponential,
(matrix compound interest; a finite rotation from tiny rotations). Apply and let each hypothesis do its one job:
The first equality is multiplicativity ( of a product of slices is the product of numbers), the second is the defining expansion of applied to each slice with ; the error per slice totals and vanishes. Same mechanism as time-slicing a path integral.
Second, as a differential equation: let . Since and commute (multiples of the same — no Baker–Campbell–Hausdorff needed), , so
whose solution is . We call this the flow formula:
For , , it is the identity used in one-loop effective actions and fermion determinants, , “”. Physically it is Liouville’s formula: the linear flow has flow map , the determinant of the flow map is the volume-expansion factor of a comoving blob, and is the divergence of the velocity field — “volume grows at rate ” integrates to . The determinant is the finite-time volume factor; the trace is its instantaneous rate.
4. The top arrow is forced: ¶
Here is the structural heart. The group-level statement is a one-liner: the target is abelian, and an abelian charge cannot see group commutators,
because the four values are numbers and numbers commute. The algebra-level consequence is — but getting there requires a bridge between the group commutator and the Lie bracket . We build the bridge first (4.1), cross it carefully (4.2), and then ask which matrices are brackets (4.3).
4.1 The Lie bracket is the infinitesimal group commutator¶
Run the flow of for a small time , the flow of for a small time , then undo both, in order:
If and commuted as matrices, the four factors would reorder and cancel, . In general, expand every exponential, keeping all terms up to total degree 2 in :
Multiply the left pair and the right pair:
(note : both signs flip, and the cross term comes out the same). Now multiply the two halves and collect by degree:
Degree 1: — to first order the flows do commute; whatever survives is second order. Degree 2:
The pure and terms cancel identically — only the bilinear term survives, and it is exactly the bracket:
This is what “the Lie bracket is the infinitesimal group commutator” means: the bracket measures the leading failure of two flows to close. You know it from rotations — a small rotation about , a small one about , then undoing both leaves a small rotation about of angle : that is made tangible. (Same phenomenon as parallel parking: “steer” and “drive” don’t commute, and their commutator is the sideways translation you actually want.)
4.2 Crossing the bridge: , every step¶
The cleanest complete derivation goes through conjugation; the direct second-order route is at the end.
Step 1 (group level: the charge is conjugation-blind). For any :
since the values are commuting numbers. (This is Step 1 of determinant_homomorphism.md, reappearing.)
Step 2 (conjugation of an exponential is the exponential of the conjugated generator). For any invertible and any matrix , — the interior pairs cancel. Apply this to every term of the exponential series:
Step 3 (transfer to the algebra: is conjugation-invariant). Apply to Step 2 and use Step 1 on the left, the flow formula of section 3 on both sides:
Two exponentials of linear functions of that agree for all have equal slopes at (differentiate), so
Step 4 (Hadamard’s lemma — the physicist’s formula). Take and expand the conjugated generator in . Let , a curve of matrices in . Differentiate:
In particular , so the Taylor expansion is
(iterating gives the full series , the adjoint action — “” — but the first-order term is all we need).
Step 5 (conclude). Insert Step 4 into Step 3 and use linearity of :
The coefficient of must vanish:
The second-order route, for comparison. One can instead apply directly to the group commutator of 4.1. Define . By multiplicativity and commuting values (the one-liner at the top of this section), exactly, for all . On the other hand, by 4.1 and the defining expansion of ,
and a function identically equal to 1 has all Taylor coefficients zero — in particular the coefficient, . (Pedantic check that no second-derivative-of- terms pollute the coefficient: along the axes the commutator is trivial, identically, so both first partials of vanish at the origin and the mixed partial of is applied to the mixed partial of , which is .) The conjugation route of Steps 1–5 is the same argument reorganized so that only first-order expansions are ever needed.
4.3 Which matrices are brackets: ¶
Cyclicity of the trace gives , so brackets are traceless. The converse also holds, and the are exactly the witnesses:
and these span all traceless matrices. So exactly, and must vanish on every traceless matrix — on the basis, for and all equal (their differences are commutators). A functional that kills the traceless part can only depend on the trace. If were complex-linear that would already give ; smoothness of only guarantees real-linearity, which admits one more term:
— the term is the anti-holomorphic branch, whose integrated form will be .
Compare with the groups you know: for or the Lorentz group, every generator is itself a commutator (, …), the algebra is “all commutator,” and so there is no nontrivial det-like function on them — their only one-dimensional representation is trivial. is special precisely because has exactly one abelian direction — overall scaling, measured by the trace. The determinant exists because of, and only because of, that one direction.
5. Down the right leg: , and the quantization of the charge¶
Take stock of which arrows of the square are now known. The top arrow is known: section 4 forced . The two vertical legs are known: they are the exponentials. The bottom arrow is the unknown we are after. But a square that commutes lets you compute a missing side by going around the other way: instead of crossing the bottom directly (, unknown), go up the left leg, across the known top, and down the right leg. Explicitly, to evaluate :
Up the left leg (the only hard step — the leg must be traversed backwards). Find a generator that reaches : a matrix with . Any such is called a logarithm of and written . Mind the types: is a group element; is an algebra element — an honest matrix (generally not unique; that is gap (i) below).
Across the top arrow. Apply the known map to it: the number . (Recall from the type table of section 1: is not a Lie algebra — it is the linear map , the algebra-level shadow of .)
Down the right leg. Exponentiate the number: .
The square commutes, so the detour lands on the right answer: by the flow formula of section 3, .
For the normalized charge (i.e. ) the detour reads, symbol by symbol,
i.e. the direct formula
— three known maps composed, replacing the one unknown map. It is worth checking on transformations you know:
: take , so and . ✓
a rotation : the generator is traceless, so — rotations preserve volume because their generator is traceless. Same for boosts/transvections.
a rotation–scaling : one checks with , so and — the area-expansion factor of the spiral map, with the rotation angle dropping out of the trace.
But two honest gaps separate the boxed formula from a theorem. Gap (i): is multivalued — the recipe must not depend on which we pick. Gap (ii): the formula is not closed-form — it requires producing a logarithm, and even the statement “every has one” is a theorem. This section closes gap (i) by integrating the two generator families of section 2 by hand; section 6 closes gap (ii).
5.1 Transvections: , automatically¶
The off-diagonal generators are traceless, , so the flow formula gives
No ambiguity arises (the answer is the same for every choice), and Step 2 of the elementary note falls out in one line: an abelian charge cannot register a traceless, boost-like generator. By multiplicativity, multiplying any matrix by transvections never changes .
5.2 Diagonal matrices: the multivaluedness bites, and quantizes the charge¶
Every is an exponential: pick logs with — here the branch choice is genuinely free, gives the same . Then , and since , the flow formula gives
The left side is one fixed number; it cannot depend on which branches we chose. Shift a single : the right side picks up the factor . Single-valuedness therefore forces the quantization
— the same mechanism that quantizes angular momentum ( must be single-valued on the circle) and the charge of section 1. The topology responsible: contains a circle, contains a non-contractible loop (wind the phase of one diagonal entry by ), and a representation must map winding numbers to winding numbers integrally. This is global information that the algebra — which only sees an infinitesimal neighborhood of — cannot know; it is exactly what the bare generator analysis of section 4 was missing.
Given the quantization, the recipe
does not depend on the branch of (a branch shift changes the exponent by ), and is a continuous homomorphism — precisely the family derived independently in Homomorphisms from C-star to C-star, now reconstructed from the two real-linear components of . Since is a log of the product , the display above says exactly
This is Step 3 of the elementary note: the trace doesn’t care which diagonal slot a number sits in, so sees only the product.
6. Closing gap (ii): the antisymmetric singlet derives the Leibniz formula¶
The boxed formula requires a logarithm of . We now construct the same function in closed form — an explicit polynomial in the entries of whose generator is — so that no logarithm is ever needed. The physicist’s candidate is the -tensor.
In dimensions, a totally antisymmetric object with indices has exactly one independent component: . Equivalently, the wedge spans a one-dimensional space (the “singlet”). Let act on every slot. The result is again totally antisymmetric, hence a multiple of the singlet, and that multiple is a number we define as :
Now just expand in components, , using multilinearity of the wedge:
A wedge with a repeated vector vanishes by antisymmetry, so only tuples that are permutations of survive, and reordering costs the parity sign: . Hence
This is the Leibniz formula — derived, not posited: it is nothing but the single matrix element of acting on the one-dimensional antisymmetric singlet. (The row form is the same sum under , which preserves the sign.) Its properties now cost one line each, with no determinant theory anywhere:
Multiplicative. Slot-wise action of maps the singlet line to itself with scalar ; following with multiplies by ; the composite is the slot-wise action of . Scalars on a line compose by multiplication: .
Diagonals. , so each slot contributes its factor: .
Transvections. fixes every except ; the extra term inserts a second copy of into the wedge and is killed by antisymmetry: .
Generator. Expanding each slot of to first order, the slot- term survives the wedge only for (all other basis vectors are already present), so . So is an integral of the trace — the explicit polynomial with — and by the flow formula of section 3, : on the image of , coincides with , with no branch to choose.
7. Patching the square together on the whole group¶
Sections 5.1–5.2 evaluated on the two generator families; of section 6 is defined everywhere outright. What remains is to connect them on an arbitrary , and for that we borrow exactly one result from the elementary note — the Gauss factorization Lemma of Determinant From Homomorphism (plain row reduction, no determinants used; we do not repeat the proof):
Apply using multiplicativity, 5.1 and 5.2:
Apply using its one-line properties (peel the transvections, then the diagonal):
The second display does double duty: it shows the pivot product — a priori dependent on the chosen row reduction — equals the unambiguous polynomial , hence is the same for every factorization; and substituting it into the first display gives the final result:
Every ingredient was constructed, none assumed: came from differentiating (sections 3–4); the quantization from single-valuedness on the diagonal subgroup (section 5.2); was built from ; was built as the antisymmetric singlet (section 6); and the patching used only row reduction and multiplicativity. Finally, imposing homogeneity : with , the flow formula gives for all , forcing , , i.e. and
(Aside: the eigenvalue formula of Part III, Step 5 in determinant_over_C.md expresses the same result, but needs the surjectivity of over — gap (ii) closed by analysis instead of algebra. The route above trades that analytic input for the Gauss factorization, the same trade the elementary note makes, and produces the Leibniz formula constructively along the way.)
8. The role of : the charge of the representation¶
The derivation above did not — and could not — produce outright: the boxed result of section 7 is , and only the normalization collapsed to the identity. This is not a defect of the method; the factor has a precise Lie-theoretic identity, worth spelling out. is a one-dimensional representation of the target group itself, and it carries a charge — a label, in the exact sense of the charge of gauge theory, that section 8.3 makes precise. The determinant carries no freedom; it is the universal, canonical piece. All the freedom of lives in .
8.1 The square factors into two stacked squares¶
What sections 4–7 actually established is that the commuting square of section 1 splits in the middle:
Top row: , where is a functional on the one-dimensional quotient . Bottom row: . The left square is rigid — no parameters, the same for every ; it is pure structure (, and the trace is the quotient map). The right square is where the entire freedom sits, and its bottom arrow is . So is literally “the part of that remains after the universal part has been factored out.”
8.2 Group level: is seen on the quotient¶
The commutator argument forces to be trivial on . A function trivial on depends on only through its coset — i.e., it descends to the quotient group . The determinant is exactly the identification of that quotient with . So the statement decomposes as
This is the most Lie-theoretic answer to “where does come from”: group theory can prove that factors through the abelianization, and can identify the abelianization with — but it cannot choose a representation of . The target group has many self-homomorphisms (, , , …), all equally lawful, and composing any homomorphism with one of them produces another homomorphism. No structural principle prefers among them. That residual choice is .
8.3 What “charge” means here, and how it works¶
A word of precision first, because it is easy to conflate two things: is a representation; the charge is the label that names it. Saying loosely “ is the charge” is shorthand for “ is the character carrying a particular charge.” The two are in bijection — each charge names exactly one — but they are different kinds of object (a number versus a map), and the whole point of the word “charge” is the structure that label carries. Here is that structure, built up from the example you already know.
The model: the charge. In electromagnetism a field has a charge . The integer does not act on anything by itself; it labels how transforms under the gauge group: a gauge rotation multiplies by . The map is the one-dimensional representation; is its charge. Three properties make deserve the name — and all three will recur verbatim for :
(quantization) must be an integer, because and are the same group element, so must be single-valued on the circle. This is not imposed; it is forced by the topology of .
(additivity) charges add under tensoring: transforms by , so it has charge . The product of representations corresponds to the sum of labels.
(coupling to the generator) writing as the exponential of the generator, is the eigenvalue with which couples to it: . The charge is the coefficient in front of the generator.
The case at hand. Our target group is instead of , and is the representation. At the generator level is encoded in two numbers — the of section 4, with the quantization of section 5.2. Set
The pair is the charge. It is two numbers rather than one because has two factors, (modulus and phase), and a representation must specify how it responds to each:
on the phase factor , the label is , the genuine winding charge — an integer for exactly the reason above ( and after a phase loop are the same number, so the factor must be single-valued). This is the quantization derived in section 5.2, now read as charge quantization.
on the modulus factor , the label is , a continuous complex scaling dimension. It is not quantized: is contractible — there is no loop to wind around — so single-valuedness imposes nothing.
Now the same three properties hold, and they are what justify the name:
(quantization) the discrete part is quantized by topology, exactly as is — same mechanism, .
(additivity) charges add under tensoring. If two objects transform by , the pair transforms by the product , whose charge is — the labels add while the representations multiply. A weight- density times a weight- density is a weight- density: that is charge additivity, and it is why “weight” behaves like a charge.
(coupling to the generator) the single abelian (i.e. -like) direction of is overall scaling, whose generator is (section 4 showed every other direction is a commutator and so carries no charge). The numbers — equivalently — are precisely the coefficients with which couples to that generator, . The charge is the coefficient in front of the generator, just as is the coefficient of .
So a one-dimensional representation of is labeled by a charge , exactly as a representation of is labeled by , and “” reads: every such representation is the universal one (), dressed by a charge. In this language the determinant itself is simply the unit-charge representation — the choice , fixed by the normalization , exactly the way “the electron has charge 1” is a convention setting the unit, not a theorem.
The members are not exotica — physics uses them constantly. A tensor density of weight is, by definition, an object transforming with the extra factor (or ) under a coordinate change with Jacobian — i.e. a quantity carrying charge under . The in the invariant volume element is the charge- member , which is exactly why is coordinate-invariant: the charge of cancels the from , charges adding to zero. This is the subject of Part IV of Deriving the determinant from homogeneity and multiplicativity and is derived from scratch in section 11 below: the “weight” of a density is its charge under , with all the additivity and quantization that word implies.
8.4 So in what sense was “derived”?¶
In two layers, which mirror Layer 1/Layer 2 of the elementary derivation exactly:
Forced by Lie theory: for some charge . Equivalently, is the universal one-dimensional representation — every other factors through it. This part contains no choices.
A normalization, imposed from outside: homogeneity forces , i.e. charge , i.e. , i.e. . This is not Lie theory — it is the definition of which member of the family we agree to call “the determinant,” just as “the electron has charge 1” is a normalization, not a theorem about .
9. Dictionary: the Lie picture vs. the elementary derivation¶
The derivation in determinant_homomorphism.md is the same argument run entirely at the group level, without ever differentiating — which is exactly why it needs no continuity assumption:
Step 2 there ( on transvections) is the global version of “ kills the traceless generators” (here 5.1). In fact for transvections are themselves group commutators: the bracket exponentiates to , and an abelian charge can’t see commutators. Globally: transvections generate , the group-level “traceless part” (), so is blind to it and can only depend on modulo — i.e. on .
Step 3 there () is the global version of 5.2. The free homomorphism of the elementary note is the global counterpart of the constants ; with continuity the correspondence is exact, .
The Gauss factorization is the elementary substitute for “ is surjective”: both write an arbitrary group element in terms of pieces where is already pinned down.
The Leibniz polynomial plays the same anchoring role in both: the explicit, single-valued, everywhere-defined object. The elementary note posits the polynomial and verifies its properties; here it was derived as the matrix element of the antisymmetric singlet, the unique one-dimensional representation whose generator is .
One sentence for the road: the determinant is to the trace what a finite transformation is to its generator; it exists because has exactly one abelian direction (overall scaling), every abelian charge must vanish on the boost-like nilpotent generators spanning the rest, and the unique charge consistent with is — made polynomial by the -tensor singlet.
The table “How the two proofs correspond” in Deriving the determinant from homogeneity and multiplicativity lists this dictionary line by line.
10. What we used from Lie theory, and what can fail¶
For honesty’s sake, here is the complete inventory of Lie-theoretic facts the note relies on, each with its status — a genuine theorem, an elementary computation, or a general result we deliberately replaced with something concrete:
| # | fact | status | where used |
|---|---|---|---|
| F1 | a continuous homomorphism between Lie groups is automatically smooth (Cartan–von Neumann) | genuine theorem; bypassed if smoothness is assumed outright | lets us differentiate at all |
| F2 | exists and is (-)linear; $\phi(X)=\frac{d}{d\theta}f(e^{\theta X})\big | _0=\frac{d}{d\theta}f(I+\theta X)\big | _0$ |
| F3 | for every smooth homomorphism (“homomorphisms intertwine the exponentials”) | general theorem; proved self-contained here via the ODE | flow formula, section 3 |
| F4 | preserves brackets: ( for an abelian target) | general theorem; the abelian case proved from scratch here | section 4.2 |
| F5 | Hadamard: | elementary matrix calculus () | section 4.2, step 4 |
| F6 | elementary series computation (second-order BCH done by hand) | section 4.1 | |
| F7 | every is a product of exponentials we control | replaced by the explicit Gauss factorization of Determinant From Homomorphism; the general theorems ( surjective over , “connected group = products of exponentials”) are not used | section 7 |
| F8 | a Lie algebra homomorphism integrates to a group homomorphism iff a global integrality condition holds ( is not simply connected: ) | deep theorem in general (Lie’s second theorem + monodromy); appears here concretely as the quantization | section 5.2 |
Not used anywhere: the full Baker–Campbell–Hausdorff theorem, Jordan form, eigenvalues, surjectivity of , or the abstract uniqueness theorem “two homomorphisms of a connected group with equal differentials coincide” (the constructive sections 5–7 compute instead).
10.1 The differential: any curve through with velocity will do¶
The differential of a smooth map sees only the first-order data of the curve fed into it: any smooth curve with , gives, by the chain rule,
Both and qualify (the latter stays inside for small because is open in matrix space), which is why section 3 could use the expansion and the flow interchangeably. One caution: with real this defines as an -linear map only; complex-linearity () would additionally require to be holomorphic, which is never assumed — that is the origin of the term in section 4.
10.2 Does hold for any homomorphism?¶
For any smooth homomorphism, yes — and via F1, for any continuous one. The structure of the proof in section 3 shows why: satisfies (it is a one-parameter subgroup of the target), and a differentiable solution of this functional equation is forced to be . In general Lie theory this is the statement “every one-parameter subgroup of a Lie group is for a unique generator .”
For a homomorphism with no regularity assumed it fails — and not as a technicality. There exist wild homomorphisms (axiom-of-choice constructions, not even measurable; see Homomorphisms from C-star to C-star), and is then a perfectly valid group homomorphism for which does not exist at all — such an is not differentiable, not continuous, not measurable. The whole Lie route is unavailable for those. This is exactly the division of labor between the two notes: the Lie derivation buys conceptual transparency at the price of continuity (needed for F1–F3), while Determinant From Homomorphism covers every homomorphism, wild ones included, and correspondingly can conclude only with unconstrained.
10.3 The converse direction: not every comes from an ¶
There is a fine point hiding in “any homomorphism,” in the other direction. At the algebra level the candidate generators form a two-complex-parameter family, but not every integrates to a group homomorphism — only those with do. That is F8: since is not simply connected, algebra-level data does not automatically globalize, and the obstruction is precisely the winding/quantization condition of section 5.2. The clean correspondence is therefore:
with one way and the construction of sections 5–7 the other. (On a simply connected group every algebra homomorphism would integrate — Lie’s second theorem; the integrality condition is the fingerprint of the loop in .)
11. Application: why is a density — derived, not postulated¶
The charge family of section 8 is not bookkeeping for its own sake; it is forced on you the moment you ask for the determinant of a tensor. We now derive — assuming nothing about densities — that any “determinant of ” must transform with the charge-2 character , that the determinant of must use the charge- character, that for the charge is 0 (an honest scalar), and that in every case the number is computed by applying the Leibniz polynomial of section 6 to the component matrix in any basis you like.
11.1 The transformation laws of components (from multilinearity alone)¶
Let be an -dimensional space with basis , and change basis by an invertible : . Components transform by the chain rule of multilinearity:
tensor (a bilinear form, e.g. a metric): , i.e. in matrix form ;
tensor (e.g. the inverse metric): ;
tensor (a linear map ): .
These are not assumptions; they are what “tensor” means.
11.2 No scalar determinant of can exist¶
Suppose someone hands you a universal polynomial formula in the components of a tensor — the same formula in every basis — and claims its value is basis-independent: for all . Test it on the scalings , which act on components by . Decompose into homogeneous pieces of degree (each must satisfy the invariance separately, since the scaling acts on each by a different power): for all forces for every . Only constants are invariant. So a nontrivial determinant-like quantity built from alone cannot be a scalar — some transformation factor is unavoidable. (Contrast the case, where acts trivially, , and no obstruction arises.)
11.3 The factor must be a character — and the factorization theorem classifies it¶
So the best one can ask of is a relative invariant: the values in two bases differ by a factor depending only on the basis change, not on the tensor,
Now derive the structure of . Compose two basis changes, then : the components change by , so applying the defining property once directly and once in two steps,
The multiplier of any relative invariant is automatically a homomorphism — and now the entire machinery of this note applies to . By the factorization theorem (section 7), for a character of . If is polynomial in the components, is polynomial in the entries of , and a polynomial character of is a single monomial: writing , multiplicativity gives for each , so every surviving would force — only one can survive. Hence
(In the smooth, non-holomorphic setting the classification of section 8.3 allows — the charges — and on real manifolds also ; the polynomial case pins the pure power.)
Finally the scaling test of 11.2, now used positively: for a determinant-like , homogeneous of degree in the components, gives
Derived: any degree- polynomial relative invariant of a tensor transforms with the charge-2 character — it has no choice. Running the same argument with gives for , and with gives for tensors.
11.4 Existence, and “compute it in any basis”: two one-line proofs¶
It remains to exhibit the relative invariant and verify the multiplier. The candidate is forced by section 6: apply the Leibniz polynomial to the component matrix, . Two derivations of its transformation law:
Via multiplicativity (section 6). , using (the row and column Leibniz sums agree under ). Done. Likewise and .
Via the -tensor, which also explains the weight. The fully contracted expression
(expanding the two ’s as sums over permutations and substituting collapses the double sum to ) is the only way to saturate the lower indices of copies of : it needs exactly two upper-index ’s. Under a basis change each absorbs one batch of transformation matrices through the identity of section 6,
(both sides are totally antisymmetric in , hence proportional to ; the coefficient is the value at , which is the Leibniz sum ), so the two ’s emit — the weight literally counts the -tensors needed to saturate the indices. For the upper indices need two lower-index ’s, each emitting : weight -2. For one of each kind: the factors cancel, weight 0. General rule: weight (number of lower indices) (number of upper indices) per copy of the tensor — the full zoo is in Part IV of Deriving the determinant from homogeneity and multiplicativity.
So the recipe is basis-democratic by construction — the same polynomial applied to whatever the components are in your basis — and what transforms is the value, by exactly the derived character. Consistency check: for an invertible metric, the matrix inverse of , the charges +2 and -2 cancel: is an honest scalar equation, valid in every basis.
11.5 What intrinsically is: a number on the wrong line¶
The singlet picture of section 6 says exactly which object the recipe computes — and why no scalar was possible. A tensor is the same thing as a linear map , . Section 6 defined the determinant of a map by its action on top wedges; do the same here:
Both sides are one-dimensional — but they are different lines. A linear map between two different lines is not a number; it is canonically an element of . That element is , and “-valued” is precisely what “scalar density of weight 2” means: choosing a basis trivializes the line by the frame , the coefficient in that frame is (the component computation of 11.4), and under the frame itself rescales by — so the coefficient must rescale by to describe the same invariant object. The three cases are now one statement:
The determinant of a map is always an element of ; it is a scalar precisely when source and target coincide. The “weight” is nothing but the bookkeeping of which line the answer lives on.
One more derivation of the same 2, group-theoretic and very short. Over every nondegenerate symmetric is congruent to the identity: for some invertible (Gram–Schmidt, no signature obstruction over ). Try to define by this congruence. Is it well-defined? If then satisfies , i.e. , whose determinant is — so , and the square is exactly the part that survives the ambiguity. The minimal character of that is blind to the stabilizer is : the weight 2 is the price of the orbit–stabilizer geometry of metrics. And the definition agrees with the recipe: .
In the real differential-geometry setting the same derivations run with the Jacobian : , hence — the volume element is the -member of the character family of section 8.3 (charge ), which is why is coordinate-invariant.